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Editor’s Choice Articles

Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.

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27 pages, 4802 KiB  
Review
Impact of Coolant Operation on Performance and Heterogeneities in Large Proton Exchange Membrane Fuel Cells: A Review
by Marine Cornet, Erwan Tardy, Jean-Philippe Poirot-Crouvezier and Yann Bultel
Energies 2025, 18(1), 111; https://doi.org/10.3390/en18010111 - 30 Dec 2024
Viewed by 562
Abstract
PEMFCs’ operation entails the presence of heterogeneities in the generation of current, heat and water along the active surface area. Indeed, PEMFCs are open systems, and as such, operating heterogeneities are inherent to their operation. A review of the literature reveals numerous attempts [...] Read more.
PEMFCs’ operation entails the presence of heterogeneities in the generation of current, heat and water along the active surface area. Indeed, PEMFCs are open systems, and as such, operating heterogeneities are inherent to their operation. A review of the literature reveals numerous attempts to achieve uniform current density distribution. These attempts are primarily focused on bipolar plate design and operating conditions, with the underlying assumption that uniform current density correlates with enhanced performance. Most studies focus on the influence of gas flow-field design and inlet hydrogen and air flow conditioning, and less attention has been paid to the coolant operating condition. However, uncontrolled temperature distribution over a large cell active surface area can lead to performance loss and localized degradations. On this latter point, we notice that studies to date have been confined to a narrow range of operating conditions. It appears that complementary durability studies are needed in order to obtain in-depth analyses of the coupled influence of temperature distribution and gas humidification in large PEMFCs. Full article
(This article belongs to the Section D2: Electrochem: Batteries, Fuel Cells, Capacitors)
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40 pages, 7137 KiB  
Article
Heterojunction Technology vs. Passivated Emitter and Rear Contact Photovoltaic Panels: Evaluating Efficiency and Profitability Under Challenging Summer Conditions in Lisbon Using Extensive Field Data
by André Sapina and Paulo Branco
Energies 2025, 18(1), 114; https://doi.org/10.3390/en18010114 - 30 Dec 2024
Viewed by 834
Abstract
Renewable energy is essential for reducing fossil fuel dependence and achieving carbon neutrality by 2050. This study compares the widely used passivated emitter and rear contact (PERC) cells with advanced heterojunction technology (HJT) cells. Conducted in Lisbon during August 2022, this research evaluates [...] Read more.
Renewable energy is essential for reducing fossil fuel dependence and achieving carbon neutrality by 2050. This study compares the widely used passivated emitter and rear contact (PERC) cells with advanced heterojunction technology (HJT) cells. Conducted in Lisbon during August 2022, this research evaluates the energy yield of PV installations over 400 W under challenging summer conditions. HJT cells, which combine monocrystalline silicon and amorphous layers, showed a 1.88% higher efficiency and a 3% to 6% increase in energy yield compared to PERC cells. This study also examines the effects of irradiance and temperature on performance using experiment field data. HJT modules are ideal for limited space or power constraints, offering long-term profitability, while PERC modules are more cost-effective for budget-limited projects. Full article
(This article belongs to the Special Issue Renewable Energy System Technologies: 2nd Edition)
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24 pages, 10995 KiB  
Article
Using RES Surpluses to Remove Overburden from Lignite Mines Can Improve the Nation’s Energy Security
by Leszek Jurdziak, Witold Kawalec, Zbigniew Kasztelewicz and Pawel Parczyk
Energies 2025, 18(1), 104; https://doi.org/10.3390/en18010104 - 30 Dec 2024
Viewed by 542
Abstract
The increasing use of renewable energy sources, such as wind and solar energy, presents challenges to the stability and efficiency of other energy sources due to their intermittent and unpredictable surpluses. The unintended consequence of stabilizing the power supply system is an increase [...] Read more.
The increasing use of renewable energy sources, such as wind and solar energy, presents challenges to the stability and efficiency of other energy sources due to their intermittent and unpredictable surpluses. The unintended consequence of stabilizing the power supply system is an increase in emissions and external costs from the suboptimal use of coal power plants. The rising number of RES curtailments needs to be addressed by either the adjusting energy supply from fossil fuel or the flexible energy consumption. In Poland’s energy mix, coal-fired power plants are a critical component in ensuring energy security for the foreseeable future. Using domestic lignite to generate a total power of 8.5 GW can stabilize the national power supply, as it is currently done in Germany, where 15 GW of lignite-fueled power units provide the power supply base for the country. The leading Belchatów power plant comprises 10 retrofitted units and one new unit, with a total rating of 5.5 GW. Access to the new coal deposit, Zloczew, is necessary to ensure its longer operation. The other domestic lignite power plants are located in Central Poland at Patnów (0.47 GW from the new unit and 0.6 GW from its three retrofitted counterparts) and located in the Lusatian lignite basin at Turów (operating a brand new unit rated at 0.5 GW and retrofitted units with a total rating of 1.5 GW). The use of this fuel is currently being penalized as a result of increasing carbon costs. However, the continuous surface mining technology that is used in lignite mines is fully electrified, and large amounts of electric energy are required to remove and dump overburden and mining coal and its conveying to power units (the transport of coal from the new lignite mine Zloczew to the Belchatów power plant would be a long-distance operation). A possible solution to this problem is to focus on the lignite fuel supply operations of these power plants, with extensive simulations of the entire supply chain. A modern lignite mine is operated by one control room, and it can balance the dynamic consumption of surplus renewable energy sources (RESs) and reduce the need for reduction. When a lignite supply chain is operated this way, a high-capacity power bank can be created with energy storage in the form of an open brown coal seam. This would enable an almost emission-free supply of cheap and domestic fossil fuel, making it insensitive to changes in the world prices of energy resources for power units operating at the base of the system. Furthermore, extending the life of relatively new and efficient lignite-fired units in Poland would facilitate the decommissioning of older and exhausted hard coal-fired units. Full article
(This article belongs to the Section H: Geo-Energy)
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31 pages, 1655 KiB  
Article
Energy Waste as a Side-Effect of Photovoltaic Development: Net Impact of Photovoltaics on CO2 Emissions in European Union Countries
by Bożena Gajdzik, Radosław Wolniak, Rafał Nagaj, Brigita Žuromskaitė-Nagaj and Wiesław Grebski
Energies 2025, 18(1), 78; https://doi.org/10.3390/en18010078 - 28 Dec 2024
Viewed by 581
Abstract
Decarbonization policies are being implemented in all EU countries where renewable energy is being developed. One of the main energy sources used for this purpose is photovoltaic energy. However, the development of photovoltaics does not only mean environmental benefits in the form of [...] Read more.
Decarbonization policies are being implemented in all EU countries where renewable energy is being developed. One of the main energy sources used for this purpose is photovoltaic energy. However, the development of photovoltaics does not only mean environmental benefits in the form of green energy and thus a reduction in greenhouse gas emissions from fossil fuel energy production, but also energy waste. The development of photovoltaics generates energy waste, some of which cannot be recovered, which in turn has a negative impact on gas emissions. The aim of this article is to analyse the amount of energy waste from photovoltaics in European Union countries and the net impact of photovoltaics on greenhouse gas emissions. Data sources are Eurostat and Our World In Data. The analysis will be carried out for the majority of EU countries, excluding the smallest countries whose data may distort the overall results. The analysis should show the overall impact of PV in the countries analysed and the changes over the period studied. The results will also indicate whether the impact of PV on decarbonization is similar across the EU countries analysed, or whether there are clusters of countries due to the impact of PV, or a negative impact in some of them. Full article
(This article belongs to the Collection Feature Papers in Advanced Energy Materials)
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20 pages, 8805 KiB  
Article
Improving Energy Efficiency and Autonomy Through the Development of a Hybrid Battery–Supercapacitor System in Electromobility
by Michalakis Kotsias, Georgios Kontogogos, Spyridon Angelopoulos and Evangelos Hristoforou
Energies 2025, 18(1), 76; https://doi.org/10.3390/en18010076 - 28 Dec 2024
Viewed by 401
Abstract
This study focuses on the development of a hybrid battery-supercapacitor system aimed at enhancing energy efficiency and autonomy in electromobility. The energy supply system of an electric vehicle must ensure high performance and autonomy, even after numerous battery life cycles. Previous approaches to [...] Read more.
This study focuses on the development of a hybrid battery-supercapacitor system aimed at enhancing energy efficiency and autonomy in electromobility. The energy supply system of an electric vehicle must ensure high performance and autonomy, even after numerous battery life cycles. Previous approaches to hybrid systems that combine batteries and supercapacitors focus on reducing power losses by relying on controllers that evaluate the state of charge (SOC) of the energy sources to determine which one should provide power at any given time. These systems typically use a controller that monitors only the SOC of the battery and supercapacitor. In contrast, our study introduces an innovative controller that not only evaluates the SOC of both energy sources but also incorporates the current of the electric motor, taking into account its operational state. This approach allows for a more accurate representation of energy consumption and motor performance, providing significant advantages in terms of energy efficiency, extended battery life, and improved performance under high motor loads, which are characteristic of modern electric vehicle requirements. The current paper encompasses both experimental and simulated results, indicating that the hybrid approach provides significant advantages, such as improved energy autonomy, extended battery life as the primary energy source, and enhanced performance at high motor speeds that stress the battery. Full article
(This article belongs to the Section F: Electrical Engineering)
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34 pages, 529 KiB  
Review
Energy Transformation Within the Framework of Sustainable Development and Consumer Behavior
by Anna Szeląg-Sikora, Aneta Oleksy-Gębczyk, Józef Ciuła, Mariusz Cembruch-Nowakowski, Katarzyna Peter-Bombik, Paulina Rydwańska and Tomasz Zacłona
Energies 2025, 18(1), 75; https://doi.org/10.3390/en18010075 - 28 Dec 2024
Viewed by 1082
Abstract
The energy transition currently defines the economic development of all market sectors, driven by technological progress and increasing environmental awareness. The requirements of a sustainable economy and green energy are evolving dynamically to address environmental challenges, emphasizing the reduction of CO2 emissions [...] Read more.
The energy transition currently defines the economic development of all market sectors, driven by technological progress and increasing environmental awareness. The requirements of a sustainable economy and green energy are evolving dynamically to address environmental challenges, emphasizing the reduction of CO2 emissions as well as energy efficiency and renewable energy sources. It is essential to study consumer attitudes toward products manufactured using green energy, including FMCG (fast-moving consumer goods) products. The aim of this article is to examine the impact of the energy transformation, and consequently rising energy costs, on the decision-making process of consumers of FMCG products produced in accordance with the principles of sustainable development (including green energy). It explores the factors influencing their purchasing decisions and the role that generation plays in this process. Understanding how different generations respond to the energy aspects of economic functioning is crucial for the future development of the energy sector and the implementation of sustainable economic models. Therefore, it is essential to conduct research that demonstrates the extent of the influence of increasing consumer awareness of energy transformation within the framework of sustainable development. Full article
(This article belongs to the Collection Energy Transition Towards Carbon Neutrality)
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29 pages, 10283 KiB  
Article
Multi-Fault-Tolerant Operation of Grid-Interfaced Photovoltaic Inverters Using Twin Delayed Deep Deterministic Policy Gradient Agent
by Shyamal S. Chand, Branislav Hredzak and Maurizio Cirrincione
Energies 2025, 18(1), 44; https://doi.org/10.3390/en18010044 - 26 Dec 2024
Viewed by 570
Abstract
The elevated penetration of renewable energy has seen a significant increase in the integration of inverter-based resources (IBRs) into the electricity network. According to various industrial standards on interconnection and interoperability, IBRs should be able to withstand variability in grid conditions. Positive sequence [...] Read more.
The elevated penetration of renewable energy has seen a significant increase in the integration of inverter-based resources (IBRs) into the electricity network. According to various industrial standards on interconnection and interoperability, IBRs should be able to withstand variability in grid conditions. Positive sequence voltage-oriented control (PSVOC) with a feed-forward decoupling approach is often adopted to ensure closed-loop control of inverters. However, the dynamic response of this control scheme deteriorates during fluctuations in the grid voltage due to the sensitivity of proportional–integral controllers, the presence of the direct- and quadrature-axis voltage terms in the cross-coupling, and predefined saturation limits. As such, a twin delayed deep deterministic policy gradient-based voltage-oriented control (TD3VOC) is formulated and trained to provide effective current control of inverter-based resources under various dynamic conditions of the grid through transfer learning. The actor–critic-based reinforcement learning agent is designed and trained using the model-free Markov decision process through interaction with a grid-connected photovoltaic inverter environment developed in MATLAB/Simulink® 2023b. Using the standard PSVOC method results in inverter input voltage overshoots of up to 2.50 p.u., with post-fault current restoration times of as high as 0.55 s during asymmetrical faults. The designed TD3VOC technique confines the DC link voltage overshoot to 1.05 p.u. and achieves a low current recovery duration of 0.01 s after fault clearance. In the event of a severe symmetric fault, the conventional control method is unable to restore the inverter operation, leading to integral-time absolute errors of 0.60 and 0.32 for the currents of the d and q axes, respectively. The newly proposed agent-based control strategy restricts cumulative errors to 0.03 and 0.09 for the d and q axes, respectively, thus improving inverter regulation. The results indicate the superior performance of the proposed control scheme in maintaining the stability of the inverter DC link bus voltage, reducing post-fault system recovery time, and limiting negative sequence currents during severe asymmetrical and symmetrical grid faults compared with the conventional PSVOC approach. Full article
(This article belongs to the Special Issue Advances in Electrical Power System Quality)
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32 pages, 5622 KiB  
Article
Performance Enhancement of a Building-Integrated Photovoltaic/Thermal System Coupled with an Air Source Heat Pump
by Edward Vuong, Alan S. Fung and Rakesh Kumar
Energies 2025, 18(1), 12; https://doi.org/10.3390/en18010012 - 24 Dec 2024
Viewed by 440
Abstract
This study explores the improvement of building integrated photovoltaic–thermal (BIPV/T) systems and their integration with air source heat pumps (ASHPs). The BIPV/T collector needs a method to effectively extract the heat it collects, while ASHP can boost their efficiency utilizing preheated air from [...] Read more.
This study explores the improvement of building integrated photovoltaic–thermal (BIPV/T) systems and their integration with air source heat pumps (ASHPs). The BIPV/T collector needs a method to effectively extract the heat it collects, while ASHP can boost their efficiency utilizing preheated air from the BIPV/T collectors. Combining these two systems presents a valuable opportunity to enhance their performance. This paper discusses technological improvements and integration through a comprehensive modelling analysis. Two versions of the BIPV/T systems were assessed using a modified version of EnergyPlus V8.0, a building energy simulation program. This study involved sensitivity analysis of the internal channel surface and cover emissivity parameters of the opaque BIPV/T (OBIPV/T), transparent BIPV/T (TBIPV/T), and building-integrated solar air heater collectors (BISAHs). Various arrangements of the collectors were also studied. A BIPV/T-BISAH array design was selected based on the analysis, and its integration with a net-zero energy house. The BIPV/T-BISAH coupled ASHP system decreased space heating electricity consumption by 6.5% for a net-zero house. These modest savings are mainly attributed to the passive design of the houses, which reduced heating loads during sunny hours/days. Full article
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22 pages, 1959 KiB  
Article
Integration of Plant Pomace into Extruded Products: Analysis of Process Conditions, Post-Production Waste Properties and Biogas Potential
by Jakub Soja, Tomasz Oniszczuk, Iryna Vaskina, Maciej Combrzyński and Agnieszka Wójtowicz
Energies 2024, 17(24), 6476; https://doi.org/10.3390/en17246476 - 23 Dec 2024
Viewed by 478
Abstract
Waste streams from cereal-based food production processes, rich in organic matter and carbohydrates, have untapped potential for biogas production. This study uniquely investigated the extrusion-cooking process conditions, physical properties and biogas efficiency of snack pellets enriched with plant pomace (apple, chokeberry, pumpkin, flaxseed [...] Read more.
Waste streams from cereal-based food production processes, rich in organic matter and carbohydrates, have untapped potential for biogas production. This study uniquely investigated the extrusion-cooking process conditions, physical properties and biogas efficiency of snack pellets enriched with plant pomace (apple, chokeberry, pumpkin, flaxseed and nigella seeds) at different levels (10, 20 and 30%), produced using a single-screw extruder-cooker. The highest efficiency obtained in the extrusion-cooking process (18.20 kg/h) was observed for pellets with the addition of 30% flaxseed pomace. The SME value during the entire process was in the range of 0.015–0.072 kWh/kg. New insights into the interaction between the inclusion of pomace, the physical properties of the extrudate and the anaerobic fermentation efficiency were obtained. The results show that 30% chokeberry extrudate maximized methane production (51.39% gas), demonstrating a double innovation: improving snack pellet quality and converting food waste into renewable energy. Full article
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35 pages, 13847 KiB  
Article
Sigma Delta Modulation Controller and Associated Cybersecurity Issues with Battery Energy Storage Integrated with PV-Based Microgrid
by Syeda Afra Saiara and Mohd. Hasan Ali
Energies 2024, 17(24), 6463; https://doi.org/10.3390/en17246463 - 22 Dec 2024
Viewed by 639
Abstract
Battery energy storage systems (BESSs) play a crucial role in integrating renewable energy sources into microgrids. However, robust BESS controllers are needed to carry out this function properly. Existing controllers suffer from overshoots and slow convergence issues. Moreover, as electrical grid networks become [...] Read more.
Battery energy storage systems (BESSs) play a crucial role in integrating renewable energy sources into microgrids. However, robust BESS controllers are needed to carry out this function properly. Existing controllers suffer from overshoots and slow convergence issues. Moreover, as electrical grid networks become increasingly connected, the risk of cyberattacks grows, and traditional physics-based anomaly detection methods face challenges such as reliance on predefined models, high computational demands, and limited scalability for complex, large-scale data. To address the limitations of the existing approaches, this paper first proposes a novel sigma-delta modulation (SDM) controller for BESSs in solar photovoltaic (PV)-connected microgrids. The performance of SDM has been compared with those of the proportional–integral (PI) controller and fuzzy logic controller (FLC). Also, this paper proposes an improved ensemble-based method to detect the false data injection (FDI) and denial-of-service (DoS) attacks on the BESS controller. The performance of the proposed detection method has been compared with that of the traditional ensemble-based method. Four PV-connected microgrid systems, namely the solar DC microgrid, grid-connected solar AC microgrid, hybrid AC microgrid with two BESSs, and hybrid AC microgrid with a single BESS, have been considered to show the effectiveness of the proposed control and detection methods. The MATLAB/Simulink-based results show the effectiveness and better performance of the proposed controller and detection methods. Numerical results demonstrate the improved performance of the proposed SDM controller, with a 35% reduction in AC bus voltage error compared to the conventional PI controller and FLC. Similarly, the proposed SAMME AdaBoost detection method achieves superior accuracy with an F1 score of 95%, outperforming the existing ensemble approaches. Full article
(This article belongs to the Section A1: Smart Grids and Microgrids)
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17 pages, 3280 KiB  
Article
Continuity Quality of Power Supply in Detectors Powered by Renewable Energy Sources
by Marek Stawowy, Jacek Paś, Krzysztof Perlicki, Stanisław Duer, Mirosław Siergiejczyk and Marta Harničárová
Energies 2024, 17(24), 6423; https://doi.org/10.3390/en17246423 - 20 Dec 2024
Viewed by 403
Abstract
One of the challenges associated with assessing critical systems is ensuring the appropriate quality of services. Supplying electricity is also one such service; however, the standards defining its assessment are not always consistent with the expectations of its consumers. This stems from the [...] Read more.
One of the challenges associated with assessing critical systems is ensuring the appropriate quality of services. Supplying electricity is also one such service; however, the standards defining its assessment are not always consistent with the expectations of its consumers. This stems from the fact that the standards, which describe the quality of services associated with power supply, are based on a rather modest range of such parameters such as power supply continuity (interruption time), frequency, value, asymmetries, and time waveform shape (cf. EN 50160:2023). This article discusses the continuity quality of power supply (CQoPS), which takes into account numerous quality-related aspects, more than just the ones described in the standard. The method for determining CQoPS coefficients has been based on estimating uncertainty; therefore, it is devoid of such statistical evaluation disadvantages as the requirement for full knowledge of the system that is assessed. This paper also discusses an example calculation of one of the observations based on actual measurements of a renewable energy source (RES) power supply fed to metering systems and a result simulation depending on various observations. Full article
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28 pages, 1683 KiB  
Article
Energy-Saving Geospatial Data Storage—LiDAR Point Cloud Compression
by Artur Warchoł, Karolina Pęzioł and Marek Baścik
Energies 2024, 17(24), 6413; https://doi.org/10.3390/en17246413 - 20 Dec 2024
Viewed by 891
Abstract
In recent years, the growth of digital data has been unimaginable. This also applies to geospatial data. One of the largest data types is LiDAR point clouds. Their large volumes on disk, both at the acquisition and processing stages, and in the final [...] Read more.
In recent years, the growth of digital data has been unimaginable. This also applies to geospatial data. One of the largest data types is LiDAR point clouds. Their large volumes on disk, both at the acquisition and processing stages, and in the final versions translate into a high demand for disk space and therefore electricity. It is therefore obvious that in order to reduce energy consumption, lower the carbon footprint of the activity and sensitize sustainability in the digitization of the industry, lossless compression of the aforementioned datasets is a good solution. In this article, a new format for point clouds—3DL—is presented, the effectiveness of which is compared with 21 available formats that can contain LiDAR data. A total of 404 processes were carried out to validate the 3DL file format. The validation was based on four LiDAR point clouds stored in LAS files: two files derived from ALS (airborne laser scanning), one in the local coordinate system and the other in PL-2000; and two obtained by TLS (terrestrial laser scanning), also with the same georeferencing (local and national PL-2000). During research, each LAS file was saved 101 different ways in 22 different formats, and the results were then compared in several ways (according to the coordinate system, ALS and TLS data, both types of data within a single coordinate system and the time of processing). The validated solution (3DL) achieved CR (compression rate) results of around 32% for ALS data and around 42% for TLS data, while the best solutions reached 15% for ALS and 34% for TLS. On the other hand, the worst method compressed the file up to 424.92% (ALS_PL2000). This significant reduction in file size contributes to a significant reduction in energy consumption during the storage of LiDAR point clouds, their transmission over the internet and/or during copy/transfer. For all solutions, rankings were developed according to CR and CT (compression time) parameters. Full article
(This article belongs to the Special Issue Low-Energy Technologies in Heavy Industries)
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15 pages, 3416 KiB  
Article
Assessing the Potential of Hybrid Systems with Batteries, Fuel Cells and E-Fuels for Onboard Generation and Propulsion in Pleasure Vessels
by Gianluca Pasini, Filippo Bollentini, Federico Tocchi and Lorenzo Ferrari
Energies 2024, 17(24), 6416; https://doi.org/10.3390/en17246416 - 20 Dec 2024
Viewed by 609
Abstract
Electro-fuels (E-fuels) represent a potential solution for decarbonizing the maritime sector, including pleasure vessels. Due to their large energy requirements, direct electrification is not currently feasible. E-fuels, such as synthetic diesel, methanol, ammonia, methane and hydrogen, can be used in existing internal combustion [...] Read more.
Electro-fuels (E-fuels) represent a potential solution for decarbonizing the maritime sector, including pleasure vessels. Due to their large energy requirements, direct electrification is not currently feasible. E-fuels, such as synthetic diesel, methanol, ammonia, methane and hydrogen, can be used in existing internal combustion engines or fuel cells in hybrid configurations with lithium batteries to provide propulsion and onboard electricity. This study confirms that there is no clear winner in terms of efficiency (the power-to-power efficiency of all simulated cases ranges from 10% to 30%), and the choice will likely be driven by other factors such as fuel cost, onboard volume/mass requirements and distribution infrastructure. Pure hydrogen is not a practical option due to its large storage necessity, while methanol requires double the storage volume compared to current fossil fuel solutions. Synthetic diesel is the most straightforward option, as it can directly replace fossil diesel, and should be compared with biofuels. CO2 emissions from E-fuels strongly depend on the electricity source used for their synthesis. With Italy’s current electricity mix, E-fuels would have higher impacts than fossil diesel, with potential increases between +30% and +100% in net total CO2 emissions. However, as the penetration of renewable energy increases in electricity generation, associated E-fuel emissions will decrease: a turning point is around 150 gCO2/kWhel. Full article
(This article belongs to the Section D2: Electrochem: Batteries, Fuel Cells, Capacitors)
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20 pages, 881 KiB  
Review
Where Does Energy Poverty End and Where Does It Begin? A Review of Dimensions, Determinants and Impacts on Households
by Oskar Szczygieł, Alena Harbiankova and Maria Manso
Energies 2024, 17(24), 6429; https://doi.org/10.3390/en17246429 - 20 Dec 2024
Viewed by 680
Abstract
The paper explores the concept of energy poverty (EP) by examining its definition, dimensions, determinants, and impacts on households. The study underscores the necessity of comprehending the multifaceted subjective and objective nature of energy poverty, as evidenced by the proposal of a comprehensive [...] Read more.
The paper explores the concept of energy poverty (EP) by examining its definition, dimensions, determinants, and impacts on households. The study underscores the necessity of comprehending the multifaceted subjective and objective nature of energy poverty, as evidenced by the proposal of a comprehensive tool for measuring energy poverty from a broad perspective. The concept of energy poverty comprises seven principal dimensions, namely, political, economic, health, infrastructure, social, energy transfer, and climate and environmental. Each of these dimensions operates as both a cause and a consequence of energy poverty, thereby creating a cyclical relationship between the various determinants. A significant aspect of the study is the utilization of objective and subjective indicators. These include measures of the relationship between expenditure and income, the technical condition of buildings, thermal comfort, debt, and initiatives taken to prevent this phenomenon at the household level. The concept posits a novel attribute of EP, namely, “transitional state”, which signifies that energy poverty can concurrently serve as a catalyst and a consequence of adverse socio-economic phenomena in certain instances affecting the overall quality of life. The recommendations encompass using a holistic method that considers not only the analysis of the energy poverty index but also detailed and subjective indicators. The proposed tool will enable a more effective formulation of public policy at the European Union level, providing a unified direction to research this phenomenon at multiple precision levels. Full article
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37 pages, 9415 KiB  
Review
Energy in Smart Cities: Technological Trends and Prospects
by Danuta Szpilko, Xavier Fernando, Elvira Nica, Klaudia Budna, Agnieszka Rzepka and George Lăzăroiu
Energies 2024, 17(24), 6439; https://doi.org/10.3390/en17246439 - 20 Dec 2024
Viewed by 1048
Abstract
Energy management in smart cities has gained particular significance in the context of climate change and the evolving geopolitical landscape. It has become a key element of sustainable urban development. In this context, energy management plays a central role in facilitating the growth [...] Read more.
Energy management in smart cities has gained particular significance in the context of climate change and the evolving geopolitical landscape. It has become a key element of sustainable urban development. In this context, energy management plays a central role in facilitating the growth of smart and sustainable cities. The aim of this article is to analyse existing scientific research related to energy in smart cities, identify technological trends, and highlight prospective directions for future studies in this field. The research involves a literature review based on the analysis of articles from the Scopus and Web of Science databases to identify and evaluate studies concerning energy in smart cities. The findings suggest that future research should focus on the development of smart energy grids, energy storage, the integration of renewable energy sources, as well as innovative technologies (e.g., Internet of Things, 5G/6G, artificial intelligence, blockchain, digital twins). This article emphasises the significance of technologies that can enhance energy efficiency in cities, contributing to their sustainable development. The recommended practical and policy directions highlight the development of smart grids as a cornerstone for adaptive energy management and the integration of renewable energy sources, underpinned by regulations encouraging collaboration between operators and consumers. Municipal policies should prioritise the adoption of advanced technologies, such as the IoT, AI, blockchain, digital twins, and energy storage systems, to improve forecasting and resource efficiency. Investments in zero-emission buildings, renewable-powered public transport, and green infrastructure are essential for enhancing energy efficiency and reducing emissions. Furthermore, community engagement and awareness campaigns should form an integral part of promoting sustainable energy practices aligned with broader development objectives. Full article
(This article belongs to the Special Issue Opportunities for Energy Efficiency in Smart Cities)
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39 pages, 2858 KiB  
Review
Thin-Film Technologies for Sustainable Building-Integrated Photovoltaics
by Andrew R. Smith, Mehrdad Ghamari, Sasireka Velusamy and Senthilarasu Sundaram
Energies 2024, 17(24), 6363; https://doi.org/10.3390/en17246363 - 18 Dec 2024
Viewed by 975
Abstract
This study investigates the incorporation of thin-film photovoltaic (TFPV) technologies in building-integrated photovoltaics (BIPV) and their contribution to sustainable architecture. The research focuses on three key TFPV materials: amorphous silicon (a-Si), cadmium telluride (CdTe), and copper indium gallium selenide (CIGS), examining their composition, [...] Read more.
This study investigates the incorporation of thin-film photovoltaic (TFPV) technologies in building-integrated photovoltaics (BIPV) and their contribution to sustainable architecture. The research focuses on three key TFPV materials: amorphous silicon (a-Si), cadmium telluride (CdTe), and copper indium gallium selenide (CIGS), examining their composition, efficiency, and BIPV applications. Recent advancements have yielded impressive results, with CdTe and CIGS achieving laboratory efficiencies of 22.10% and 23.35%, respectively. The study also explores the implementation of building energy management systems (BEMS) for optimizing energy use in BIPV-equipped buildings. Financial analysis indicates that despite 10.00–30.00% higher initial costs compared to conventional materials, BIPV systems can generate 50–150 kWh/m2 annually, with simple payback periods of 5–15 years. The research emphasizes the role of government incentives and innovative financing in promoting BIPV adoption. As BIPV technology progresses, it offers a promising solution for transforming buildings from energy consumers to producers, significantly contributing to sustainable urban development and climate change mitigation. Full article
(This article belongs to the Special Issue Energy Efficiency and Energy Performance in Buildings)
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21 pages, 4946 KiB  
Article
Simple Energy Model for Hydrogen Fuel Cell Vehicles: Model Development and Testing
by Kyoungho Ahn and Hesham A. Rakha
Energies 2024, 17(24), 6360; https://doi.org/10.3390/en17246360 - 18 Dec 2024
Viewed by 570
Abstract
Hydrogen fuel cell vehicles (HFCVs) are a promising technology for reducing vehicle emissions and improving energy efficiency. Due to the ongoing evolution of this technology, there is limited comprehensive research and documentation regarding the energy modeling of HFCVs. To address this gap, the [...] Read more.
Hydrogen fuel cell vehicles (HFCVs) are a promising technology for reducing vehicle emissions and improving energy efficiency. Due to the ongoing evolution of this technology, there is limited comprehensive research and documentation regarding the energy modeling of HFCVs. To address this gap, the paper develops a simple HFCV energy consumption model using new fuel cell efficiency estimation methods. Our HFCV energy model leverages real-time vehicle speed, acceleration, and roadway grade data to determine instantaneous power exertion for the computation of hydrogen fuel consumption, battery energy usage, and overall energy consumption. The results suggest that the model’s forecasts align well with real-world data, demonstrating average error rates of 0.0% and −0.1% for fuel cell energy and total energy consumption across all four cycles. However, it is observed that the error rate for the UDDS drive cycle can be as high as 13.1%. Moreover, the study confirms the reliability of the proposed model through validation with independent data. The findings indicate that the model precisely predicts energy consumption, with an error rate of 6.7% for fuel cell estimation and 0.2% for total energy estimation compared to empirical data. Furthermore, the model is compared to FASTSim, which was developed by the National Renewable Energy Laboratory (NREL), and the difference between the two models is found to be around 2.5%. Additionally, instantaneous battery state of charge (SOC) predictions from the model closely match observed instantaneous SOC measurements, highlighting the model’s effectiveness in estimating real-time changes in the battery SOC. The study investigates the energy impact of various intersection controls to assess the applicability of the proposed energy model. The proposed HFCV energy model offers a practical, versatile alternative, leveraging simplicity without compromising accuracy. Its simplified structure reduces computational requirements, making it ideal for real-time applications, smartphone apps, in-vehicle systems, and transportation simulation tools, while maintaining accuracy and addressing limitations of more complex models. Full article
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29 pages, 10223 KiB  
Review
Advancements in Manufacturing of High-Performance Perovskite Solar Cells and Modules Using Printing Technologies
by Shohreh Soltani and Dawen Li
Energies 2024, 17(24), 6344; https://doi.org/10.3390/en17246344 - 17 Dec 2024
Viewed by 637
Abstract
Perovskite photovoltaic technology carries immense opportunity for the solar industries because of its remarkable efficiency and prospect for cost-effective production. However, the successful deployment of perovskite solar modules (PSMs) in the solar market necessitates tackling stability-based obstacles, scalability, and environmental considerations. This paper [...] Read more.
Perovskite photovoltaic technology carries immense opportunity for the solar industries because of its remarkable efficiency and prospect for cost-effective production. However, the successful deployment of perovskite solar modules (PSMs) in the solar market necessitates tackling stability-based obstacles, scalability, and environmental considerations. This paper unveils a comprehensive examination of the cutting-edge advancements in the manufacturing of perovskite solar cells (PSCs) and modules, with an emphasis on high-speed, large-area printing. The paper underscores the substantial progress achieved in printed PSCs and PSMs, demonstrating promising electrical performance and long-term device durability. This review paper categorizes printing techniques compatible with large-area high-speed manufacturing into three distinct families: blade coating, slot die coating, and screen printing, as these common printing practices offer precise control, scalability, cost-effectiveness, high resolution, and efficient material usage. Additionally, this paper presents an in-depth investigation and comparison of superior PSCs and PSMs fabricated by printing on power conversion efficiency (PCE), stability, and scalability. Full article
(This article belongs to the Section D1: Advanced Energy Materials)
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23 pages, 506 KiB  
Article
The Impact of Renewable Energy Development on Economic Growth
by Virgilijus Dirma, Laima Okunevičiūtė Neverauskienė, Manuela Tvaronavičienė, Irena Danilevičienė and Rima Tamošiūnienė
Energies 2024, 17(24), 6328; https://doi.org/10.3390/en17246328 - 16 Dec 2024
Viewed by 973
Abstract
The development of renewable energy resources significantly impacts economic growth, various aspects of which can be assessed. First, the sector contributes to job creation, as new technologies and projects require specialists in various fields, from engineering to installation. Second, investments in renewable energy [...] Read more.
The development of renewable energy resources significantly impacts economic growth, various aspects of which can be assessed. First, the sector contributes to job creation, as new technologies and projects require specialists in various fields, from engineering to installation. Second, investments in renewable energy drive economic growth as the private and public sectors increasingly invest in innovation and infrastructure. In addition, developing renewable energy sources can lower energy prices for consumers, increase market competition, and reduce dependence on imported resources. However, there are also challenges related to initial investment costs, technological barriers and required political support. To ensure the successful development of renewable energy sources, it is necessary to create a favorable legal and regulatory environment, as well as to promote education and training in this area. In conclusion, the development of renewable energy resources can become an important driver of economic growth but requires a balanced approach and strategic planning. This work aims to evaluate the impact of the use of renewable resources on the economy after examining theories of economic growth. The following methods are used: analysis of theoretical and practical statements, comparative analysis, and panel data analysis. The research rejects hypotheses which suggest that transitioning to renewable energy sources slows economic growth. The development and adoption of renewable energy resources are essential for reducing greenhouse gas emissions, improving air quality, and ensuring sustainable development in the European Union. Despite initial costs and the hypothesis that transitioning to renewable energy slows economic growth, research shows that renewable energy sources (RES) do not hinder growth in the long term. Instead, they drive economic growth through technological advancements, job creation, and attracting significant investments, ultimately contributing to environmental protection and energy stability. Full article
(This article belongs to the Special Issue Sustainable Resource Management for a Circular Economy)
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15 pages, 2919 KiB  
Review
The Role of Financial Markets in Energy Transitions
by Magdalena Zioło, Iwona Bąk and Anna Spoz
Energies 2024, 17(24), 6315; https://doi.org/10.3390/en17246315 - 14 Dec 2024
Cited by 1 | Viewed by 622
Abstract
This review organizes the current state of knowledge on the role of financial markets in energy transition. The originality of the study lies in the delimitation of its scope and diagnosis of research trends concerning the role of financing, innovation, and financial development [...] Read more.
This review organizes the current state of knowledge on the role of financial markets in energy transition. The originality of the study lies in the delimitation of its scope and diagnosis of research trends concerning the role of financing, innovation, and financial development sources. The study sets out to identify the role of the financial market in the energy transition process and present the state-of-the-art and main research focuses. For this purpose, a literature review was carried out based on the search results from the Web of Science database and using VOSViewer software, version 1.6.20. The analysis of 54 papers in the final sample allowed us to pinpoint the key links between financial markets and energy transition. Capital markets support green initiatives, with green bonds as a primary funding source. Blockchain and fintech technologies also significantly contribute to transition by offering innovative solutions. Additionally, a range of papers examine the costs associated with energy transition and the role of financial instruments in managing these. Regulatory challenges are another significant focus. This comprehensive analysis underscores the multifaceted relationship between financial markets and energy transition, providing insights into the current trends and the critical role of finance in fostering a sustainable future. Full article
(This article belongs to the Special Issue Breakthroughs in Sustainable Energy and Economic Development)
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20 pages, 8594 KiB  
Article
Synchronization of an On-Board Photovoltaic Converter Under Conditions of High Dynamic Voltage Frequency Change
by Tomasz Binkowski, Ľubomír Beňa, Dušan Medveď and Paweł Pijarski
Energies 2024, 17(24), 6302; https://doi.org/10.3390/en17246302 - 13 Dec 2024
Viewed by 501
Abstract
The decarbonization of energy systems is forcing the development of renewable energy generation and consumption technologies. Photovoltaic systems are being used in almost every industry, including autonomous power systems used on ships, space vehicles, or flying platforms, where the voltage supplying specific equipment [...] Read more.
The decarbonization of energy systems is forcing the development of renewable energy generation and consumption technologies. Photovoltaic systems are being used in almost every industry, including autonomous power systems used on ships, space vehicles, or flying platforms, where the voltage supplying specific equipment can change in an overridingly controlled manner. Feeding energy from a renewable source into a power system with highly dynamic frequency changes is not possible for traditional grid converter control strategies. This is caused by the synchronization system, which is designed for a fixed value of the grid voltage frequency, and by the proportional-resonant controllers used. In this paper, it is shown that frequency tracking correction causes deviations from the unit amplitude of synchronization signals, causing errors in the reference signals responsible for the active and reactive components of the converter current. To solve this problem, a new variable frequency adaptation system using a generalized second-order integrator was proposed. As a result, synchronization signals of unit amplitude were obtained. Due to the proposed method, the proportional-resonant controller was able to control the active and reactive components of the current even when the voltage frequency changes, adjusting the resonant frequency. Full article
(This article belongs to the Section F3: Power Electronics)
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15 pages, 3918 KiB  
Article
High-Altitude Operation of a Commercial 100 kW PEM Fuel Cell System
by Caroline Willich, Daniel Frank, Tobias Graf, Stefan Wazlawik, Samara Brandao and Christiane Bauer
Energies 2024, 17(24), 6309; https://doi.org/10.3390/en17246309 - 13 Dec 2024
Viewed by 637
Abstract
A commercially available 100 kW PEM fuel cell system designed for efficient operation on ground-level was tested at low ambient pressures between 750 mbar and 940 mbar in a low-pressure chamber. The current–voltage characteristics at 940 mbar and 900 mbar showed only small [...] Read more.
A commercially available 100 kW PEM fuel cell system designed for efficient operation on ground-level was tested at low ambient pressures between 750 mbar and 940 mbar in a low-pressure chamber. The current–voltage characteristics at 940 mbar and 900 mbar showed only small differences, while the system performed worse at lower ambient pressures. To enable operation at these low pressures, an additional current-limiting strategy had to be implemented, as it was found that the compressor could not deliver sufficient mass flow at ambient pressures below 867 mbar to reach the maximum current allowed by the system (420 A). The results show that the fuel cell system, which was designed for ground-level applications, can be operated at lower pressures if the proposed current-limiting strategy is implemented, although at the cost of a lower maximum current output at low ambient pressures. Based on the results, suggestions for further hardware measures to optimise the system for flight conditions are made. Full article
(This article belongs to the Special Issue Applications of Fuel Cell Systems)
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24 pages, 5781 KiB  
Article
Co-Design Optimization and Total Cost of Ownership Analysis of an Electric Bus Depot Microgrid with Photovoltaics and Energy Storage Systems
by Boud Verbrugge, Thomas Geury and Omar Hegazy
Energies 2024, 17(24), 6233; https://doi.org/10.3390/en17246233 - 11 Dec 2024
Viewed by 549
Abstract
Due to the increasing share of battery electric buses (BEBs) in cities, depots need to be adapted to the increasing load demand. The integration of renewable energy sources (RESs) into a depot can increase the self-consumption, but optimal sizing is required for a [...] Read more.
Due to the increasing share of battery electric buses (BEBs) in cities, depots need to be adapted to the increasing load demand. The integration of renewable energy sources (RESs) into a depot can increase the self-consumption, but optimal sizing is required for a cost-efficient and reliable operation. Accordingly, this paper introduces a co-design optimization framework for a depot microgrid, equipped with photovoltaics (PVs) and an energy storage system (ESS). Three European cities are considered to evaluate the effect of different environmental conditions and electricity prices on the optimal microgrid design. Accurate models of the different subsystems are created to estimate the load demand and the power generation. Different energy management strategies (EMSs), developed to properly control the power flow within the microgrid, are compared in terms of operational costs reduction, one of which was also experimentally validated using a hardware-in-the-loop (HiL) test setup. In addition, the total cost of ownership (TCO) of the depot microgrid is analyzed, showing that an optimally designed depot microgrid can reduce the charging-related expenses for the public transport operator (PTO) by 30% compared to a scenario in which only the distribution grid supplies the BEB depot. Full article
(This article belongs to the Section E: Electric Vehicles)
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22 pages, 1372 KiB  
Article
Assessment of Impact of Use of Renewable Energy Sources on Level of Energy Poverty in EU Countries
by Iwona Bąk, Katarzyna Wawrzyniak and Maciej Oesterreich
Energies 2024, 17(24), 6241; https://doi.org/10.3390/en17246241 - 11 Dec 2024
Viewed by 558
Abstract
The share of renewable energy sources (RES) in the global energy system is systematically increasing, making them the most important element of the energy transformation. Their use enables rational management of limited resources, reduction of environmental pollution, and has a significant inhibitory effect [...] Read more.
The share of renewable energy sources (RES) in the global energy system is systematically increasing, making them the most important element of the energy transformation. Their use enables rational management of limited resources, reduction of environmental pollution, and has a significant inhibitory effect on energy poverty by improving energy efficiency. The aim of this article is to assess the impact of the use of renewable energy on the level of energy poverty in the European Union countries in 2010, 2015, and 2022. A taxonomic measure of development based on the Weber median was used to examine the relationship between the results achieved by individual EU member states in terms of the impact of the use of renewable energy on the level of energy poverty. The research results clearly indicate the existence of disproportions between the countries of the “old” EU and the countries that joined it in 2004 and later. These disproportions concern both the use of energy obtained from renewable sources and energy poverty. In the countries of the “old” Union, a positive moderate relationship was identified between the use of renewable energy and energy poverty, which means that a higher share of the use of energy from renewable sources in these countries reduces energy poverty. In the countries of the “new” Union, however, this relationship was very weak (2010) or non-existent. Since the renewable energy sector is subject to government policy and regulations, the results presented in this paper should be of interest to decision-makers. A stable, long-term policy should provide an appropriate investment climate that provides support for renewable energy projects and reduces the level of energy poverty. Full article
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29 pages, 6641 KiB  
Article
ML-Enabled Solar PV Electricity Generation Projection for a Large Academic Campus to Reduce Onsite CO2 Emissions
by Sahar Zargarzadeh, Aditya Ramnarayan, Felipe de Castro and Michael Ohadi
Energies 2024, 17(23), 6188; https://doi.org/10.3390/en17236188 - 8 Dec 2024
Viewed by 614
Abstract
Mitigating CO2 emissions is essential to reduce climate change and its adverse effects on ecosystems. Photovoltaic electricity is 30 times less carbon-intensive than coal-based electricity, making solar PV an attractive option in reducing electricity demand from fossil-fuel-based sources. This study looks into [...] Read more.
Mitigating CO2 emissions is essential to reduce climate change and its adverse effects on ecosystems. Photovoltaic electricity is 30 times less carbon-intensive than coal-based electricity, making solar PV an attractive option in reducing electricity demand from fossil-fuel-based sources. This study looks into utilizing solar PV electricity production on a large university campus in an effort to reduce CO2 emissions. The study involved investigating 153 buildings on the campus, spanning nine years of data, from 2015 to 2023. The study comprised four key phases. In the first phase, PVWatts gathered data to predict PV-generated energy. This was the foundation for Phase II, where a novel tree-based ensemble learning model was developed to predict monthly PV-generated electricity. The SHAP (SHapley Additive exPlanations) technique was incorporated into the proposed framework to enhance model explainability. Phase III involved calculating historical CO2 emissions based on past energy consumption data, providing a baseline for comparison. A meta-learning algorithm was implemented in Phase IV to project future CO2 emissions post-solar PV installation. This comparison estimated a potential emissions reduction and assessed the university’s progress toward its net-zero emissions goals. The study’s findings suggest that solar PV implementation could reduce the campus’s CO2 footprint by approximately 18% for the studied cluster of buildings, supporting sustainability and cleaner energy use on the campus. Full article
(This article belongs to the Special Issue Machine Learning in Renewable Energy Resource Assessment)
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15 pages, 1323 KiB  
Article
Effect of Corn Stover Ensiling on Methane Production and Carbon Dioxide Emissions
by Jacek Przybył, Dawid Wojcieszak and Tomasz Garbowski
Energies 2024, 17(23), 6179; https://doi.org/10.3390/en17236179 - 7 Dec 2024
Viewed by 987
Abstract
The biogas and biomethane sectors are crucial for the European Union’s energy transition. One strategy for achieving the EU’s biogas and biomethane targets while reducing the use of agricultural land for energy feedstock production is to use alternative biomass streams. Such a stream [...] Read more.
The biogas and biomethane sectors are crucial for the European Union’s energy transition. One strategy for achieving the EU’s biogas and biomethane targets while reducing the use of agricultural land for energy feedstock production is to use alternative biomass streams. Such a stream includes agricultural residues and by-products. A good example is crop residues after harvesting corn for grain, which are available in large quantities. Due to the fact that they are lignocellulosic biomasses, they require pretreatment. The purpose of this study was to determine the effect of ensiling enhancers on the methane yield of corn stover silages. Corn stover, which was harvested using the same technology, was ensiled in the first variant with an ensiling enhancer preparation based on bacteria of the Lactobacillus plantarum strain (DSM 3676 and DSM 3677) and two strains of propionic acid bacteria (DSM 9676 and DSM 9677), in the second variant with a formulation whose active ingredients were sodium benzoate, propionic acid, and sodium propionite, and in the third with a formulation based on lactic acid bacteria of the strain Lactobacillus plantarum and Lactobacillus Buchneri. The fourth variant was the control; that is, the material was ensiled naturally without the ensiling enhancer preparation. The use of the ensiling enhancer, based on lactic acid bacteria of the Lactobacillus plantarum and Lactobacillus Buchneri strains, reduced carbon dioxide emissions per 1 GJ of silage energy potential in the biogas production process. Specifically, the unique contribution of this research lies in demonstrating the role of ensiling enhancers in improving methane yield and reducing carbon dioxide emissions. Full article
(This article belongs to the Collection Feature Papers in Energy, Environment and Well-Being)
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19 pages, 1345 KiB  
Article
Evaluating the Impacts of Autonomous Electric Vehicles Adoption on Vehicle Miles Traveled and CO2 Emissions
by Jingyi Xiao, Konstadinos G. Goulias, Srinath Ravulaparthy, Shivam Sharda, Ling Jin and C. Anna Spurlock
Energies 2024, 17(23), 6127; https://doi.org/10.3390/en17236127 - 5 Dec 2024
Viewed by 705
Abstract
Autonomous electric vehicles (AEVs) can potentially revolutionize the transportation landscape, offering a safer, contact-free, easily accessible, and more eco-friendly mode of travel. Prior to the market uptake of AEVs, it is critical to understand the consumer segments that are most likely to adopt [...] Read more.
Autonomous electric vehicles (AEVs) can potentially revolutionize the transportation landscape, offering a safer, contact-free, easily accessible, and more eco-friendly mode of travel. Prior to the market uptake of AEVs, it is critical to understand the consumer segments that are most likely to adopt these vehicles. Beyond market adoption, it is also important to quantify the impact of AEVs on broader transportation systems and the environment, such as impacts on the annual vehicle miles traveled (VMT) and greenhouse gas (GHG) emissions. In this pilot study, using survey data, a statistical model correlating AEV adoption intention and socioeconomic and built environment attributes was estimated, and a sensitivity analysis was conducted to understand the importance of factors impacting AEV adoption. We found that the market segments range from early adopters who are wealthy, technologically savvy, and relatively young to non-adopters who are more cautious to new technologies. This is followed by a synthetic population microsimulation of market penetration for the San Francisco Bay Area. With five household vehicle replacement scenarios, we assessed the annual VMT and tailpipe carbon dioxide (CO2) emissions change associated with vehicle replacement. It is found that adopting AEVs can potentially reduce more than 5 megatons of CO2 yearly, which is approximately 30% of the total CO2 emitted by internal combustion engine (ICE) cars in the region. Full article
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23 pages, 3716 KiB  
Article
Analysis of Grid-Scale Photovoltaic Plants Incorporating Battery Storage with Daily Constant Setpoints
by Juan A. Tejero-Gómez and Ángel A. Bayod-Rújula
Energies 2024, 17(23), 6117; https://doi.org/10.3390/en17236117 - 5 Dec 2024
Cited by 1 | Viewed by 568
Abstract
A global energy transition is crucial to combat climate change, involving a shift from fossil fuels to renewable sources and low-emission technologies. Solar photovoltaic technology has grown exponentially in the last decade, establishing itself as a cost-effective and sustainable option for electricity generation. [...] Read more.
A global energy transition is crucial to combat climate change, involving a shift from fossil fuels to renewable sources and low-emission technologies. Solar photovoltaic technology has grown exponentially in the last decade, establishing itself as a cost-effective and sustainable option for electricity generation. However, its large-scale integration faces challenges due to its intermittency and lack of dispatchability. This study evaluates, from an energy perspective, the case of hybrid photovoltaic (PV) plants with battery storage systems. It addresses an aspect little explored in the literature: the sizing of battery storage to maintain a steady and constant 24 h power supply, which is usually avoided due to its high cost. Although the current economic feasibility is limited, the rapidly falling price of lithium batteries suggests that this solution could be viable in the near future. Using Matlab simulations, the system’s ability to deliver a constant energy production of electricity is assessed. Energy indicators are used to identify the optimal system size under different scenarios and power setpoints. The results determine the optimal storage size to supply a constant power that covers all or a large part of the daily PV generation, achieving steady and reliable electricity production. In addition, the impact of using setpoints at different time horizons is assessed. This approach has the potential to redefine the perception of solar PV, making it a dispatchable energy source, improving its integration into the electricity grid, and supporting the transition to more sustainable and resilient energy systems. Full article
(This article belongs to the Special Issue Grid Integration of Renewable Energy Conversion Systems)
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24 pages, 1564 KiB  
Review
Application of Mixed-Mode Ventilation to Enhance Indoor Air Quality and Energy Efficiency in School Buildings
by Christopher Otoo, Tao Lu and Xiaoshu Lü
Energies 2024, 17(23), 6097; https://doi.org/10.3390/en17236097 - 4 Dec 2024
Viewed by 846
Abstract
Indoor air quality and energy efficiency are instrumental aspects of school facility design and construction, as they directly affect the physical well-being, comfort, and academic output of both pupils and staff. The challenge of balancing the need for adequate ventilation to enhance indoor [...] Read more.
Indoor air quality and energy efficiency are instrumental aspects of school facility design and construction, as they directly affect the physical well-being, comfort, and academic output of both pupils and staff. The challenge of balancing the need for adequate ventilation to enhance indoor air quality with the goal of reducing energy consumption has long been a topic of debate. The implementation of mixed-mode ventilation systems with automated controls presents a promising solution to address this issue. However, a comprehensive literature review on this subject is still missing. To address this gap, this review examines the potential application of mixed-mode ventilation systems as a solution to attaining improved energy savings without compromising indoor air quality and thermal comfort in educational environments. Mixed-mode ventilation systems, which combine natural ventilation and mechanical ventilation, provide the versatility to alternate between or merge both methods based on real-time indoor and outdoor environmental conditions. By analyzing empirical studies, case studies, and theoretical models, this review investigates the efficacy of mixed-mode ventilation systems in minimizing energy use and enhancing indoor air quality. Essential elements such as operable windows, sensors, and sophisticated control technologies are evaluated to illustrate how mixed-mode ventilation systems dynamically optimize ventilation to sustain comfortable and healthy indoor climates. This paper further addresses the challenges linked to the design and implementation of mixed-mode ventilation systems, including complexities in control and the necessity for climate-adaptive strategies. The findings suggest that mixed-mode ventilation systems can considerably lower heating, ventilation, and air conditioning energy usage, with energy savings ranging from 20% to 60% across various climate zones, while also enhancing indoor air quality with advanced control systems and data-driven control strategies. In conclusion, mixed-mode ventilation systems offer a promising approach for school buildings to achieve energy efficiency and effective ventilation without sacrificing indoor environment quality. Full article
(This article belongs to the Special Issue Energy Consumption and Environmental Quality in Buildings)
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25 pages, 1680 KiB  
Article
Domain-Specific Large Language Model for Renewable Energy and Hydrogen Deployment Strategies
by Hossam A. Gabber and Omar S. Hemied
Energies 2024, 17(23), 6063; https://doi.org/10.3390/en17236063 - 2 Dec 2024
Viewed by 917
Abstract
Recent advances in large language models (LLMs) have shown promise in specialized fields, yet their effectiveness is often constrained by limited domain expertise. We present a renewable and hydrogen energy-focused LLM developed by fine-tuning LLaMA 3.1 8B on a curated renewable energy corpus [...] Read more.
Recent advances in large language models (LLMs) have shown promise in specialized fields, yet their effectiveness is often constrained by limited domain expertise. We present a renewable and hydrogen energy-focused LLM developed by fine-tuning LLaMA 3.1 8B on a curated renewable energy corpus (RE-LLaMA). Through continued pretraining on domain-specific data, we enhanced the model’s capabilities in renewable energy contexts. Extensive evaluation using zero-shot and few-shot prompting demonstrated that our fine-tuned model significantly outperformed the base model across renewable and hydrogen energy tasks. This work establishes the viability of specialized, smaller-scale LLMs and provides a framework for developing domain-specific models that can support advanced research and decision-making in the renewable energy sector. Our approach represents a significant step forward in applying LLMs to the renewable and hydrogen energy sector, offering potential applications in advanced research and decision-making processes. Full article
(This article belongs to the Section K: State-of-the-Art Energy Related Technologies)
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30 pages, 10836 KiB  
Article
A Preliminary Experimental and Numerical Analysis of a Novel Solar Dryer
by Pio Francesco Muciaccia, Alessandra Nigro, Alessia Aquilanti, Sebastiano Tomassetti, Matteo Muccioli and Giovanni Di Nicola
Energies 2024, 17(23), 6059; https://doi.org/10.3390/en17236059 - 2 Dec 2024
Cited by 1 | Viewed by 925
Abstract
In this study, a novel solar dryer is presented and analyzed experimentally and numerically. The proposed device is a small, passive, indirect solar dryer that works in an unconventional way. The product is mainly heated by irradiation from the walls of the drying [...] Read more.
In this study, a novel solar dryer is presented and analyzed experimentally and numerically. The proposed device is a small, passive, indirect solar dryer that works in an unconventional way. The product is mainly heated by irradiation from the walls of the drying chamber, while its moisture is removed by an airflow caused by natural convection. In addition, it is a low-cost solar dryer made of readily available materials and has a variable geometry that allows it to increase its thermal performance. Two types of experimental tests were conducted to analyze its performance. Thermal tests without load were carried out to assess the suitability of the drying chamber temperatures. Load tests with various masses and types of food were carried out to evaluate its drying performance. The results of the experimental tests demonstrated that the solar dryer achieved temperatures suitable for food drying and was able to dry the tested foods. Finally, a Computational Fluid Dynamics (CFD) model was developed to predict the performance of the proposed solar dryer. The validation of the numerical model with experimental data confirms their reliability in accurately predicting the temperatures within the dryer. Full article
(This article belongs to the Special Issue Advanced Solar Technologies and Thermal Energy Storage)
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19 pages, 7115 KiB  
Article
Fallen Leaves as a Substrate for Biogas Production
by Agnieszka Wysocka-Czubaszek and Robert Czubaszek
Energies 2024, 17(23), 6038; https://doi.org/10.3390/en17236038 - 1 Dec 2024
Viewed by 723
Abstract
Fallen leaves in cities are often treated as waste; therefore, they are collected, transported outside urban areas, and composted, which contributes to greenhouse gas (GHG) emissions. Instead of this conventional management approach, fallen leaves could be utilized as a feedstock in biogas production, [...] Read more.
Fallen leaves in cities are often treated as waste; therefore, they are collected, transported outside urban areas, and composted, which contributes to greenhouse gas (GHG) emissions. Instead of this conventional management approach, fallen leaves could be utilized as a feedstock in biogas production, helping to reduce GHG emissions, increase renewable energy generation, and provide fertilizer. The aim of this study was to compare the mono-digestion of fallen leaves from three tree species commonly found in parks and along streets—northern red oak (Quercus rubra L.), small-leaved lime (Tilia cordata Mill.), and Norway maple (Acer platanoides L.)—in both wet and dry anaerobic digestion (AD) systems. A biochemical methane potential (BMP) test was conducted in batch assays for each of the three substrates in both AD technologies at a temperature of 38 ± 1 °C. The highest specific methane yield (SMY) was obtained from Quercus leaves in wet AD technology, with a methane yield of 115.69 ± 4.11 NL kgVS−1. The lowest SMY (55.23 ± 3.36 NL kgVS−1) was observed during the dry AD of Tilia leaves. The type of technology had no significant impact on the SMY of Acer and Tilia leaves; however, the methane yield from Quercus leaves in wet AD was significantly higher (p < 0.05) than that from dry AD. Studies on the use of fallen leaves from Tilia cordata, Quercus rubra, and Acer platanoides as substrates in mono-digestion technology have shown their limited suitability for biogas production. Nevertheless, this feedstock may be more effectively used as a co-substrate, mainly due to the low concentrations of ammonia (NH3) and hydrogen sulfide (H2S) in the biogas produced from these leaves, both of which are considered inhibitors of the AD process. Full article
(This article belongs to the Special Issue Advanced Bioenergy, Biomass and Waste Conversion Technologies)
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19 pages, 2436 KiB  
Article
Techno-Economic Analysis of Territorial Case Studies for the Integration of Biorefineries and Green Hydrogen
by Aristide Giuliano, Heinz Stichnothe, Nicola Pierro and Isabella De Bari
Energies 2024, 17(23), 5966; https://doi.org/10.3390/en17235966 - 27 Nov 2024
Viewed by 767
Abstract
To achieve sustainable development, the transition from a fossil-based economy to a circular economy is essential. The use of renewable energy sources to make the overall carbon foot print more favorable is an important pre-requisite. In this context, it is crucial to valorize [...] Read more.
To achieve sustainable development, the transition from a fossil-based economy to a circular economy is essential. The use of renewable energy sources to make the overall carbon foot print more favorable is an important pre-requisite. In this context, it is crucial to valorize all renewable resources through an optimized local integration. One opportunity arises through the synergy between bioresources and green hydrogen. Through techno-economic assessments, this work analyzes four local case studies that integrate bio-based processes with green hydrogen produced via electrolysis using renewable energy sources. An analysis of the use of webGIS tools (i.e., Atlas of Biorefineries of IEA Bioenergy) to identify existing biorefineries that require hydrogen in relation to territories with a potential availability of green hydrogen, has never been conducted before. This paper provides an evaluation of the production costs of the target products as a function of the local green hydrogen supply costs. The results revealed that the impact of green hydrogen costs could vary widely, ranging from 1% to 95% of the total production costs, depending on the bio-based target product evaluated. Additionally, hydrogen demand in the target area could require an installed variable renewable energy capacity of 20 MW and 500 MW. On the whole, the local integration of biorefineries and green hydrogen could represent an optimal opportunity to make hydrogenated bio-based products 100% renewable. Full article
(This article belongs to the Special Issue Green Hydrogen for Industries and Biorefineries)
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34 pages, 1519 KiB  
Review
Challenges of Artificial Intelligence Development in the Context of Energy Consumption and Impact on Climate Change
by Sergiusz Pimenow, Olena Pimenowa and Piotr Prus
Energies 2024, 17(23), 5965; https://doi.org/10.3390/en17235965 - 27 Nov 2024
Cited by 3 | Viewed by 1971
Abstract
With accelerating climate change and rising global energy consumption, the application of artificial intelligence (AI) and machine learning (ML) has emerged as a crucial tool for enhancing energy efficiency and mitigating the impacts of climate change. However, their implementation has a dual character: [...] Read more.
With accelerating climate change and rising global energy consumption, the application of artificial intelligence (AI) and machine learning (ML) has emerged as a crucial tool for enhancing energy efficiency and mitigating the impacts of climate change. However, their implementation has a dual character: on one hand, AI facilitates sustainable solutions, including energy optimization, renewable energy integration and carbon reduction; on the other hand, the training and operation of large language models (LLMs) entail significant energy consumption, potentially undermining carbon neutrality efforts. Key findings include an analysis of 237 scientific publications from 2010 to 2024, which highlights significant advancements and obstacles to AI adoption across sectors, such as construction, transportation, industry, energy and households. The review showed that interest in the use of AI and ML in energy efficiency has grown significantly: over 60% of the documents have been published in the last two years, with the topics of sustainable construction and climate change forecasting attracting the most interest. Most of the articles are published by researchers from China, India, the UK and the USA, (28–33 articles). This is more than twice the number of publications from researchers around the rest of the world; 58% of research is concentrated in three areas: engineering, computer science and energy. In conclusion, the review also identifies areas for further research aimed at minimizing the negative impacts of AI and maximizing its contribution to sustainable development, including the development of more energy-efficient AI architectures and new methods of energy management. Full article
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18 pages, 2013 KiB  
Article
The Concept of Spatial Reliability Across Renewable Energy Systems—An Application to Decentralized Solar PV Energy
by Athanasios Zisos, Dimitrios Chatzopoulos and Andreas Efstratiadis
Energies 2024, 17(23), 5900; https://doi.org/10.3390/en17235900 - 25 Nov 2024
Cited by 1 | Viewed by 790
Abstract
Decentralized planning of renewable energy systems aims to address the substantial spatiotemporal variability, and thus uncertainty, associated with their underlying hydrometeorological processes. For instance, solar photovoltaic (PV) energy is driven by two processes, namely solar radiation, which is the main input, and ambient [...] Read more.
Decentralized planning of renewable energy systems aims to address the substantial spatiotemporal variability, and thus uncertainty, associated with their underlying hydrometeorological processes. For instance, solar photovoltaic (PV) energy is driven by two processes, namely solar radiation, which is the main input, and ambient temperature, with the latter affecting the panel efficiency under specific weather conditions. The objective of this work is to provide a comprehensive investigation of the role of spatial scale by assessing the theoretical advantages of the distributed production of renewable energy sources over those of centralized, in probabilistic means. Acknowledging previous efforts for the optimal spatial distribution of different power units across predetermined locations, often employing the Modern Portfolio Theory framework, this work introduces the generic concept of spatial reliability and highlights its practical use as a strategic planning tool for assessing the benefits of distributed generation at a large scale. The methodology is verified by considering the case of Greece, where PV solar energy is one of the predominant renewables. Following a Monte Carlo approach, thus randomly distributing PVs across well-distributed locations, scaling laws are derived in terms of the spatial probability of capacity factors. Full article
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24 pages, 3781 KiB  
Article
Enhancing Building-Integrated Photovoltaic Power Forecasting with a Hybrid Conditional Generative Adversarial Network Framework
by Dong Ha Choi, Wei Li and Albert Y. Zomaya
Energies 2024, 17(23), 5877; https://doi.org/10.3390/en17235877 - 23 Nov 2024
Viewed by 618
Abstract
This paper presents a novel framework that integrates Conditional Generative Adversarial Networks (CGANs) and TimeGAN to generate synthetic Building-Integrated Photovoltaic (BIPV) power data, addressing the challenge of data scarcity in this domain. By incorporating time-related attributes as conditioning information, our method ensures the [...] Read more.
This paper presents a novel framework that integrates Conditional Generative Adversarial Networks (CGANs) and TimeGAN to generate synthetic Building-Integrated Photovoltaic (BIPV) power data, addressing the challenge of data scarcity in this domain. By incorporating time-related attributes as conditioning information, our method ensures the preservation of chronological order and enhances data fidelity. A tailored learning scheme is implemented to capture the unique characteristics of solar power generation, particularly during sunrise and sunset. Comprehensive evaluations demonstrate the framework’s effectiveness in generating high-quality synthetic data, evidenced by a 79.58% improvement in the discriminative score and a 13.46% improvement in the predictive score compared to TimeGAN. Moreover, integrating the synthetic data into forecasting models resulted in up to 23.56% improvement in mean absolute error (MAE) for BIPV power generation predictions. These results highlight the potential of our framework to enhance prediction accuracy and optimize data utilization in renewable energy applications. Full article
(This article belongs to the Section A2: Solar Energy and Photovoltaic Systems)
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20 pages, 4057 KiB  
Article
Cybersecurity in Smart Grids: Detecting False Data Injection Attacks Utilizing Supervised Machine Learning Techniques
by Anwer Shees, Mohd Tariq and Arif I. Sarwat
Energies 2024, 17(23), 5870; https://doi.org/10.3390/en17235870 - 22 Nov 2024
Viewed by 970
Abstract
By integrating advanced technologies and data-driven systems in smart grids, there has been a significant revolution in the energy distribution sector, bringing a new era of efficiency and sustainability. Nevertheless, with this advancement comes vulnerability, particularly in the form of cyber threats, which [...] Read more.
By integrating advanced technologies and data-driven systems in smart grids, there has been a significant revolution in the energy distribution sector, bringing a new era of efficiency and sustainability. Nevertheless, with this advancement comes vulnerability, particularly in the form of cyber threats, which have the potential to damage critical infrastructure. False data injection attacks are among the threats to the cyber–physical layer of smart grids. False data injection attacks pose a significant risk, manipulating the data in the control system layer to compromise the grid’s integrity. An early detection and mitigation of such cyberattacks are crucial to ensuring the smart grid operates securely and reliably. In this research paper, we demonstrate different machine learning classification models for detecting false data injection attacks, including the Extra Tree, Random Forest, Extreme Gradient Boosting, Logistic Regression, Decision Tree, and Bagging Classifiers, to secure the integrity of smart grids. A comprehensive dataset of various attack scenarios provides insights to explore and develop effective detection models. Results show that the Extra Tree, Random Forest, and Extreme Gradient Boosting models’ accuracy in detecting the attack outperformed the existing literature, an achieving accuracy of 98%, 97%, and 97%, respectively. Full article
(This article belongs to the Section A1: Smart Grids and Microgrids)
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16 pages, 8063 KiB  
Article
Thin-Film Photovoltaic Modules Characterisation Based on I-V Measurements Under Outdoor Conditions
by Slawomir Gulkowski and Ewelina Krawczak
Energies 2024, 17(23), 5853; https://doi.org/10.3390/en17235853 - 22 Nov 2024
Viewed by 563
Abstract
The characterisation of photovoltaic modules requires a specialised laboratory that guarantees precise control of irradiance and its spectrum and control of the module temperature during testing. As an alternative, characteristic parameters can be extracted from the measurements of the current-voltage characteristics (I-V [...] Read more.
The characterisation of photovoltaic modules requires a specialised laboratory that guarantees precise control of irradiance and its spectrum and control of the module temperature during testing. As an alternative, characteristic parameters can be extracted from the measurements of the current-voltage characteristics (I-V curves) carried out under outdoor conditions. This paper presents the results of the two commercial thin-film photovoltaic modules’ characterisation. The first analysed device was a cadmium telluride (CdTe) photovoltaic module fabricated on glass, while the second was the flexible copper indium gallium diselenide (CIGS) PV module. The main parameters of the PV modules were extracted based on the series of I-V curve measurements under real operating conditions in Poland with the use of the capacitor-based I-V tracer. Solar radiation together with the modules’ temperature were registered simultaneously with the I-V characterisation. Two approaches were proposed to estimate the main PV parameters at standard test conditions as output power, short circuit current or open circuit voltage. The difference in results of power for both approaches was below 1.5%. Energy, computed using the Osterwald model, was compared with the experimental measurements. The best results of absolute relative error (ARE) were found around 0.5% for both technologies. The lowest value of root mean squared error (RMSE) was 1.3% in terms of CdTe technology and 3.1% for CIGS. Full article
(This article belongs to the Section A2: Solar Energy and Photovoltaic Systems)
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25 pages, 823 KiB  
Review
Recovery of Biogas and Other Valuable Bioproducts from Livestock Blood Waste: A Review
by Katarzyna Bułkowska and Magdalena Zielińska
Energies 2024, 17(23), 5873; https://doi.org/10.3390/en17235873 - 22 Nov 2024
Cited by 1 | Viewed by 752
Abstract
The anaerobic digestion (AD) of livestock blood represents a sustainable solution for the management of waste generated by the meat processing industry while simultaneously generating renewable energy. The improper treatment of livestock blood, which is rich in organic matter and nutrients, can result [...] Read more.
The anaerobic digestion (AD) of livestock blood represents a sustainable solution for the management of waste generated by the meat processing industry while simultaneously generating renewable energy. The improper treatment of livestock blood, which is rich in organic matter and nutrients, can result in environmental risks such as water pollution, soil degradation, and greenhouse gas emissions. This review examines a range of AD strategies, with a particular focus on technological advances in reactor design, pretreatment, and co-digestion, with the aim of optimizing process efficiency. While the high protein content of blood has the potential to enhance biogas production, challenges such as ammonia inhibition and process instability must be addressed. Innovations such as bio-carriers, thermal pretreatment, and co-digestion with carbon-rich substrates have demonstrated efficacy in addressing these challenges, resulting in stable operation and enhanced methane yields. The advancement of AD technologies is intended to mitigate the environmental impact of livestock blood waste and facilitate the development of a circular bioeconomy. Furthermore, the possibility of utilizing slaughterhouse blood for the recovery of valuable products, including proteins, heme iron, and bioactive peptides, was evaluated with a view to their potential applications in the pharmaceutical and food industries. Furthermore, the potential of utilizing protein-rich blood as a substrate for mixed culture fermentation in volatile fatty acid (VFA) biorefineries was explored, illustrating its viability in biotechnological applications. Full article
(This article belongs to the Special Issue Sustainable Biomass Energy Production and Utilization)
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20 pages, 1957 KiB  
Article
Predictive Analytics for Energy Efficiency: Leveraging Machine Learning to Optimize Household Energy Consumption
by Piotr Powroźnik and Paweł Szcześniak
Energies 2024, 17(23), 5866; https://doi.org/10.3390/en17235866 - 22 Nov 2024
Viewed by 789
Abstract
This paper presents a novel machine learning framework useful for optimizing energy consumption in households. Home appliances have a great potential to optimize electricity consumption by mitigating peaks in the grid load or peaks in renewable energy generation. However, such functionality of home [...] Read more.
This paper presents a novel machine learning framework useful for optimizing energy consumption in households. Home appliances have a great potential to optimize electricity consumption by mitigating peaks in the grid load or peaks in renewable energy generation. However, such functionality of home appliances requires their users to change their behavior regarding energy consumption. One of the criteria that could encourage electricity users to change their behavior is the cost of energy. The introduction of dynamic energy prices can significantly increase energy costs for unsuspecting consumers. In order to be able to make the right decisions about the process of electricity use in households, an algorithm based on machine learning is proposed. The presented proposal for optimizing electricity consumption takes into account dynamic changes in energy prices, energy production from renewable energy sources, and home appliances that can participate in the energy optimization process. The proposed model uses data from smart meters and dynamic price information to generate personalized recommendations tailored to individual households. The algorithm, based on machine learning and historical household behavior data, calculates a metric to determine whether to send a notification (message) to the user. This notification may suggest increasing or decreasing energy consumption at a specific time, or may inform the user about potential cost fluctuations in the upcoming hours. This will allow energy users to use energy more consciously or to set priorities in home energy management systems (HEMS). This is a different approach than in previous publications, where the main goal of optimizing energy consumption was to optimize the operation of the power system while taking into account the profits of energy suppliers. The proposed algorithms can be implemented either in HEMS or smart energy meters. In this work, simulations of the application of machine learning with different characteristics were carried out in the MATLAB program. An analysis of machine learning algorithms for different input data and amounts of data and the characteristic features of models is presented. Full article
(This article belongs to the Special Issue Novel Energy Management Approaches in Microgrid Systems)
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15 pages, 1201 KiB  
Article
The Impact of Grid-Forming vs. Grid-Following Converters on Frequency Regulation: Comparing Centralised or Distributed Photovoltaic Generation
by Giuseppe Marco Tina, Giovanni Maione and Domenico Stefanelli
Energies 2024, 17(23), 5827; https://doi.org/10.3390/en17235827 - 21 Nov 2024
Viewed by 741
Abstract
Energy transition strategies point to energy systems that rely mostly on renewable sources, with photovoltaics being the most commonly used and emphasised. The transition from the past to the future of electrical system is characterised by the contrast between centralised and distributed generation, [...] Read more.
Energy transition strategies point to energy systems that rely mostly on renewable sources, with photovoltaics being the most commonly used and emphasised. The transition from the past to the future of electrical system is characterised by the contrast between centralised and distributed generation, as well as the differences between synchronous machines and static converters and thus by their way to deliver services required for proper system operation, frequency regulation and transient stability. This paper compares the two converter control strategies, grid following and grid forming, for providing frequency regulation service while considering bulk photovoltaic generation at the HV level and MV-connected distributed by PV generation. The analyses reveal the equivalence between large plants and distributed resources for frequency regulation purposes, highlighting the relevance of grid-forming converter and their ability to supply inertia to the system. These results are obtained for the IEEE 14-bus system implemented in Dig Silent PowerFactory. Full article
(This article belongs to the Section F1: Electrical Power System)
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17 pages, 2460 KiB  
Article
Associated Gas Recovery Integrated with Solar Power for Produced Water Treatment: Techno-Economic and Environmental Impact Analyses
by Daniel H. Chen, Fuad Samier Aziz and Gevorg Sargsyan
Energies 2024, 17(22), 5794; https://doi.org/10.3390/en17225794 - 20 Nov 2024
Viewed by 640
Abstract
Excess associated gas from unconventional wells is typically flared while excess produced water is injected underground. In this work, flare gas recovery is integrated with produced water desalination and a solar pre-heater. The solar module with a beam splitter preheats the produced water. [...] Read more.
Excess associated gas from unconventional wells is typically flared while excess produced water is injected underground. In this work, flare gas recovery is integrated with produced water desalination and a solar pre-heater. The solar module with a beam splitter preheats the produced water. Aspen Plus process modeling, economic analysis, and greenhouse gas analysis were performed. The solar flare gas recovery desalination (Solar-FGRD) process can conserve water resources and reduce the brine injection by 77%. The accompanying solar farm results in excess solar electricity for exporting to the grid. The process burner combustion efficiency (CE) is 99.8%, with a destruction and removal efficiency (DRE) of 99.99% for methane as opposed to a flare CE of 80–98% (and a methane DRE of 91–98%). The greenhouse gas (GHG) emissions for CO2 and methane, in terms of CO2 equivalent (CO2e), can be reduced by 45% for US North Dakota and Texas flaring and 13% for North Sea flaring by employing the Solar-FGRD process. Comprehensive financial analysis demonstrates the financial–economic feasibility of the investment project with or without tax credits. Best-case and worst-case scenarios provide a realistic range that investors can consider before making investment decisions. Full article
(This article belongs to the Section A2: Solar Energy and Photovoltaic Systems)
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17 pages, 5321 KiB  
Article
Modelling an Influence of Solar Cells’ Connection Manner in Silicon Photovoltaic Modules on Their Characteristics with Partial Shading
by Krzysztof Górecki, Ewa Krac and Jacek Dąbrowski
Energies 2024, 17(22), 5741; https://doi.org/10.3390/en17225741 - 16 Nov 2024
Cited by 1 | Viewed by 673
Abstract
The article considers the problem of an influence of partial shading on the characteristics of photovoltaic modules (PV modules). Different manners of connections of silicon solar cells contained in such modules are considered, e.g., classical PV modules (I and II generation of modules) [...] Read more.
The article considers the problem of an influence of partial shading on the characteristics of photovoltaic modules (PV modules). Different manners of connections of silicon solar cells contained in such modules are considered, e.g., classical PV modules (I and II generation of modules) and modules made using half-cut technology (III generation of modules). A model of PV modules was proposed. This model has the form of a network for the SPICE program and takes into account the influence of partial shading of the PV module caused by clouds or terrain and architectural obstacles on its current and voltage. The form of the model was described, and the DC characteristics of the considered classical and half-cut modules, calculated using the formulated model, were compared to the measurement results under different shading conditions. Some calculations using the proposed model were performed for different methods to connect solar cells in PV modules. The obtained results were discussed. Full article
(This article belongs to the Section A1: Smart Grids and Microgrids)
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18 pages, 2878 KiB  
Review
The Current Status, Challenges, and Future of China’s Photovoltaic Industry: A Literature Review and Outlook
by Feng Wang and Weiwei Liu
Energies 2024, 17(22), 5694; https://doi.org/10.3390/en17225694 - 14 Nov 2024
Viewed by 1296
Abstract
This paper reviews the transformative shifts within China’s photovoltaic (PV) industry against the backdrop of a global pivot from fossil fuels to renewable energies, a transition underscored by the pressing demands of climate change mitigation. By systematically analyzing existing literature, this study captures [...] Read more.
This paper reviews the transformative shifts within China’s photovoltaic (PV) industry against the backdrop of a global pivot from fossil fuels to renewable energies, a transition underscored by the pressing demands of climate change mitigation. By systematically analyzing existing literature, this study captures the rapid advancements and dominant role of China in the global PV market, spurred by robust governmental support and technological innovation. It also identifies persistent challenges such as technological gaps, supply chain instability, and evolving regulatory frameworks. Key findings highlight the industry’s significant contributions to national energy security and its pivotal role in achieving China’s carbon neutrality goals. This research underscores the critical importance of the PV industry in steering global sustainable energy policies and practices. Full article
(This article belongs to the Section C: Energy Economics and Policy)
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24 pages, 1036 KiB  
Review
Innovative Strategies for Thermal Energy Optimization and Renewable Energy Integration in Net-Zero-Energy Buildings: A Comprehensive Review
by Samia Hamdane, Luís C. Pires, Pedro D. Gaspar and Pedro D. Silva
Energies 2024, 17(22), 5664; https://doi.org/10.3390/en17225664 - 13 Nov 2024
Viewed by 1152
Abstract
The thermal performance and energy efficiency of buildings are critical factors in achieving sustainable energy systems as energy needs for heating and cooling are expected to represent more than 50% of global final energy consumption. This study analyzes conventional renewable energy systems for [...] Read more.
The thermal performance and energy efficiency of buildings are critical factors in achieving sustainable energy systems as energy needs for heating and cooling are expected to represent more than 50% of global final energy consumption. This study analyzes conventional renewable energy systems for heating and cooling in buildings, focusing on strategies for developing net-zero-energy buildings. This review covers the integration of renewable energy, the use of intelligent energy management systems, and the optimization of thermal processes. It also compares various systems based on their advantages and limitations and analyzes emerging trends in the thermal management of buildings in different climate zones. The synthesis of recent literature highlights practical recommendations for achieving high thermal performance in buildings, including the importance of selecting appropriate energy systems based on local climatic conditions, optimizing system efficiency, and taking advantage of new materials and advanced technologies. This review aims to contribute to promoting sustainable construction practices with the integration of renewable energy sources and improving the energy efficiency of buildings. Full article
(This article belongs to the Section G: Energy and Buildings)
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20 pages, 4105 KiB  
Article
Opportunities and Challenges of Fuel Cell Electric Vehicle-to-Grid (V2G) Integration
by Tingke Fang, Annette von Jouanne, Emmanuel Agamloh and Alex Yokochi
Energies 2024, 17(22), 5646; https://doi.org/10.3390/en17225646 - 12 Nov 2024
Cited by 2 | Viewed by 1330
Abstract
This paper presents an overview of the status and prospects of fuel cell electric vehicles (FC-EVs) for grid integration. In recent years, renewable energy has been explored on every front to extend the use of fossil fuels. Advanced technologies involving wind and solar [...] Read more.
This paper presents an overview of the status and prospects of fuel cell electric vehicles (FC-EVs) for grid integration. In recent years, renewable energy has been explored on every front to extend the use of fossil fuels. Advanced technologies involving wind and solar energy, electric vehicles, and vehicle-to-everything (V2X) are becoming more popular for grid support. With recent developments in solid oxide fuel cell electric vehicles (SOFC-EVs), a more flexible fuel option than traditional proton-exchange membrane fuel cell electric vehicles (PEMFC-EVs), the potential for vehicle-to-grid (V2G)’s implementation is promising. Specifically, SOFC-EVs can utilize renewable biofuels or natural gas and, thus, they are not limited to pure hydrogen fuel only. This opens the opportunity for V2G’s implementation by using biofuels or readily piped natural gas at home or at charging stations. This review paper will discuss current V2G technologies and, importantly, compare battery electric vehicles (BEVs) to SOFC-EVs for V2G’s implementation and their impacts. Full article
(This article belongs to the Section E: Electric Vehicles)
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17 pages, 10436 KiB  
Article
Multirod Pumping Approach with Fresnel Lens and Ce:Nd:YAG Media for Enhancing the Solar Laser Efficiency
by Joana Almeida, Hugo Costa, Cláudia R. Vistas, Bruno D. Tibúrcio, Ana Matos and Dawei Liang
Energies 2024, 17(22), 5630; https://doi.org/10.3390/en17225630 - 11 Nov 2024
Viewed by 678
Abstract
A multirod Ce:Nd:YAG solar laser approach, using a Fresnel lens as a primary concentrator, is here proposed with the aim of considerably increasing the efficiency of solar-pumped lasers. Fresnel lenses are cost-effective, rendering solar lasers more economically competitive. In this work, solar-pumped radiation [...] Read more.
A multirod Ce:Nd:YAG solar laser approach, using a Fresnel lens as a primary concentrator, is here proposed with the aim of considerably increasing the efficiency of solar-pumped lasers. Fresnel lenses are cost-effective, rendering solar lasers more economically competitive. In this work, solar-pumped radiation collected and concentrated using the Fresnel lens is received by a secondary three-dimensional compound parabolic concentrator which transmits and funnels the light toward the Ce:Nd:YAG laser rods within a water-cooled tertiary conical concentrator that enables efficient multipass pumping of the rods. To explore the full potential of the proposed approach, the performance of various multirod configurations is numerically evaluated. Through this study, configurations with three and seven Ce:Nd:YAG rods are identified as being the most efficient. A maximum continuous wave total laser power of 122.8 W is reached with the three-rod configuration, marking the highest value from a Ce:Nd:YAG solar laser, leading to solar-to-laser conversion and collection efficiencies of 7.31% and 69.50 W/m2, respectively. These results represent enhancements of 1.88 times and 1.79 times, respectively, over the previous experimental records from a Ce:Nd:YAG/YAG single-rod solar laser with a Fresnel lens. Furthermore, the above results are also 1.58 times and 1.68 times, respectively, greater than those associated with the most effective three-rod Ce:Nd:YAG solar laser utilizing a parabolic mirror as the main concentrator. The present study also shows the great usefulness of the simultaneous pumping of multiple laser rods in terms of reducing the thermal stress effects in active media, being the seven-rod configuration the one that offered the best compromise between maximum efficiency and thermal performance. This is crucial for the applicability of this sustainable technology, especially if we wish to scale our system to higher power laser levels. Full article
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23 pages, 6166 KiB  
Article
From Fossil Fuels to Renewables: Clustering European Primary Energy Production from 1990 to 2022
by Piotr Kosowski
Energies 2024, 17(22), 5596; https://doi.org/10.3390/en17225596 - 9 Nov 2024
Viewed by 1098
Abstract
This study examines the structural shifts in primary energy production across European countries from 1990 to 2022, focusing on changes in energy sources and their implications for energy security and sustainability. Set against a backdrop of evolving geopolitical landscapes, economic pressures, and climate [...] Read more.
This study examines the structural shifts in primary energy production across European countries from 1990 to 2022, focusing on changes in energy sources and their implications for energy security and sustainability. Set against a backdrop of evolving geopolitical landscapes, economic pressures, and climate policies, including significant recent impacts such as the conflict in Ukraine, this research highlights the critical importance of a stable and diversified energy supply. The analysis utilizes the k-means clustering method, examining countries for which data are available in the Eurostat database and considering primary energy sources as defined by the Standard International Energy Product Classification (SIEC), including solid fossil fuels, natural gas, crude oil, nuclear energy, renewable energy sources, peat, and non-renewable waste. By categorizing European nations into clusters based on their energy production profiles, the study reveals substantial transitions from fossil fuel-based systems to those increasingly dominated by renewable energy sources. While some countries have made significant progress in integrating renewables, others remain heavily dependent on traditional energy sources such as coal and natural gas. The findings underscore the growing role of natural gas as a bridge fuel and the relatively stable contribution of nuclear energy in certain regions. A key outcome is the observed disparity between energy production and consumption across Europe, with many large economies facing a persistent deficit in domestic energy production, resulting in a high reliance on energy imports, particularly of natural gas and oil. This dependency poses significant challenges to energy security, especially given recent geopolitical disruptions and market fluctuations. The paper also discusses the environmental implications of these energy trends, emphasizing the vital role of renewable energy in achieving the European Union’s decarbonization goals. Full article
(This article belongs to the Special Issue Policy and Economic Analysis of Energy Systems)
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19 pages, 534 KiB  
Review
A Comprehensive Review of CO2 Mineral Sequestration Methods Using Coal Fly Ash for Carbon Capture, Utilisation, and Storage (CCUS) Technology
by Alicja Uliasz-Bocheńczyk
Energies 2024, 17(22), 5605; https://doi.org/10.3390/en17225605 - 9 Nov 2024
Viewed by 1002
Abstract
CO2 emissions from fossil fuel combustion are the main source of anthropogenic greenhouse gases (GHGs). A method of reducing CO2 emissions is CCUS (carbon capture, utilisation, and storage) technology. One part of CCUS technology involves mineral sequestration as its final stage, [...] Read more.
CO2 emissions from fossil fuel combustion are the main source of anthropogenic greenhouse gases (GHGs). A method of reducing CO2 emissions is CCUS (carbon capture, utilisation, and storage) technology. One part of CCUS technology involves mineral sequestration as its final stage, utilisation, which can be carried out using natural raw materials or waste. This is a particularly interesting option for power and CHP plants that use coal as their primary fuel. Combustion processes produce fly ash as a waste by-product, which has a high potential for CO2 sequestration. Calcium fly ash from lignite combustion and fly ash from fluidised bed boilers have particularly high potential due to their high CaO content. Fly ash can be used in the mineral sequestration of CO2 via direct and indirect carbonation. Both methods use CO2 and flue gases. Studies conducted so far have analysed the influence of factors such as temperature, pressure, and the liquid-to-solid (L/S) ratio on the carbonation process, which have shown different effects depending on the ash used and the form of the process. Due to the large differences found in the properties of fly ash, related primarily to the type of fuel and boiler used, the process of mineral CO2 sequestration requires much research into its feasibility on an industrial scale. However, the method is promising for industrial applications due to the possibility of reducing CO2 emissions and, at the same time, recovering waste. Full article
(This article belongs to the Section B3: Carbon Emission and Utilization)
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22 pages, 7458 KiB  
Review
A Review of Hydrogen Production Methods and Power Electronics Converter Topologies for Green Hydrogen Applications
by Goncalo Rego, Joao Rocha, Jose A. Faria, Joao L. Afonso and Vitor Monteiro
Energies 2024, 17(22), 5579; https://doi.org/10.3390/en17225579 - 8 Nov 2024
Viewed by 1101
Abstract
Hydrogen has been receiving a lot of attention in the last few years since it is seen as a viable, yet not thoroughly dissected alternative for addressing climate change issues, namely in terms of energy storage, and therefore, great investments have been made [...] Read more.
Hydrogen has been receiving a lot of attention in the last few years since it is seen as a viable, yet not thoroughly dissected alternative for addressing climate change issues, namely in terms of energy storage, and therefore, great investments have been made towards research and development in this area. In this context, a study about the main options for hydrogen production, along with the analysis of a variety of the main power electronics converter topologies for such applications, is presented as the purpose of this paper. Much of the analyzed available literature only discusses a few types of hydrogen production methods, so it becomes crucial to include an analysis of all known types of methods for producing hydrogen, according to their production type, along with the color code associated with each type, and highlighting the respective contextualization, as well as advantages and disadvantages. Regarding the topologies of power electronics converters most suitable for hydrogen production, and more specifically, for green hydrogen production, a list of them was analyzed through the available literature, and a discussion of their advantages and disadvantages is presented. These topologies present the advantage of having a low ripple current output, which is a requirement for the production of hydrogen. Full article
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