Thin-Film Technologies for Sustainable Building-Integrated Photovoltaics
Abstract
:1. Introduction
Methodology
2. Smart or Eco Buildings
3. Standards for BIPV and Their Role in Enhancing Building Energy Efficiency
4. Building-Integrated Photovoltaics
4.1. Energy Needs of the Buildings
4.1.1. Residential Energy Consumption
4.1.2. Industrial Energy Use
4.1.3. Energy Management Strategies
4.1.4. Model Predictive Control (MPC) for Buildings
4.2. The Interplay Between Climate Change and Energy Use in Buildings
Impacts on Building Energy Consumption
4.3. Measurements
4.3.1. U-Value
4.3.2. G-Value
5. TFPV Materials
- Flexibility: The thinness of these cells allows deposition on flexible substrates, enabling integration into curved or irregular surfaces [126].
- Versatility: TFPV can be applied to various materials, such as glass, metal, and plastic, expanding its potential applications [127].
- Low-light performance: TFPV technologies, particularly a-Si, offer better performance in low-light conditions compared to traditional silicon cells [128].
- Aesthetics: Their thin and semi-transparent nature makes them ideal for architectural integration in BIPV systems [39].
5.1. Amorphous Thin-Film Silicon (a-Si)
5.2. Cadmium Telluride (CdTe)
5.3. Copper Indium Gallium Selenide (CIGS)
6. Building Energy Management Systems (BEMS)
6.1. Technological, Urban, and Policy Integration for BIPV
6.2. The Role of AI in Building Energy Management Systems
- Energy bus systems for transporting heat from renewable sources through pipeline networks.
- Energy hubs that manage multi-energy inputs and outputs.
- IoT devices and sensors for real-time monitoring.
- Big data analytics for system optimization.
- The establishment of standardized tests to assess AI system robustness.
- Development of threat-driven procedures to strengthen trust in AI systems.
- Incorporation of occupancy information for improved prediction performance.
- Integration of real-time control mechanisms for supply and demand management.
7. BIPV Financial Analysis
7.1. Levelized Cost of Electricity (LCOE)
7.2. Simple Payback Period and Return on Investment (ROI)
- A case study in Italy found simple payback periods ranging from 5 to 12 years for various BIPV configurations [184].
- Research in the UK reported simple payback periods between 7 and 15 years for BIPV systems, with ROI ranging from 2.70% to 7.40% [183].
- In Singapore, calculations showed simple payback periods of 8 to 13 years for BIPV systems, with ROI between 5% and 9% [185].
- Solar insolation: Regions with higher solar exposure experience greater solar insolation, leading to increased energy generation and higher ROI.
- Installation Costs: Geographic differences in construction and setup expenses can impact the overall cost of implementing solar systems, influencing ROI.
- System Efficiency: Local climate conditions, including temperature and weather patterns, affect the performance and efficiency of solar systems, contributing to regional variability in ROI.
- Grid Electricity Costs: The cost of conventional grid electricity varies by region, with higher costs in some areas making solar energy systems more financially attractive and boosting ROI.
7.3. Government Incentives and Policy Support
- Feed-in Tariffs (FiTs): Many countries offer FiTs for renewable energy generation, including BIPV. For example, in Germany, the FiT for BIPV systems ranges from 0.083 to 0.113 €/kWh as of 2021 [195].
- Tax Incentives: In the United States, the Investment Tax Credit (ITC) offers a 26% federal tax incentive for solar projects, including BIPV systems, that were completed by the end of 2022 [195].
7.4. Financing Options
- Power Purchase Agreements (PPAs): Within the framework of a PPA, a third-party developer installs, owns, and manages the BIPV system, selling the generated electricity to the building owner at a predetermined rate. This model can effectively eliminate initial costs for building proprietors [34].
- Green Bonds: These fixed-income securities are specifically designed to generate funding for climate and environmental projects, such as BIPV installations. In 2020, the global green bond market reached a remarkable $269.5 billion [196].
- Energy Service Companies (ESCOs): ESCOs can provide comprehensive energy solutions, including BIPV installation and maintenance, often with performance guarantees [197].
8. Results and Discussion
- Efficiency Improvements: The research highlights substantial progress in TFPV efficiencies. CdTe technology has achieved a record 22.10% efficiency in laboratory settings, with commercial modules reaching 19% efficiency. CIGS has demonstrated even higher laboratory efficiencies of up to 23.35%, although commercial modules typically operate at 15–17% efficiency.
- Material Innovations: Recent developments in a-Si technology, including the combination of a-Si with nanocrystalline silicon or a-Si-germanium alloys, have achieved higher efficiency rates of around 12% and reduced degradation over time. This progress addresses the Staebler-Wronski effect, a prominent challenge associated with a-Si cells.
- Application Versatility: TFPV technologies, particularly CIGS, have shown great potential in flexible and lightweight applications, making them ideal for various BIPV implementations beyond traditional solar panels.
- BEMS Effectiveness: The integration of BEMS has proven crucial in optimizing energy consumption and production in BIPV-equipped structures. BEMS can reduce cooling energy consumption by up to 12% in warm climates when combined with BIPV systems.
- Smart Control Systems: The implementation of MPC in BEMS has shown potential to reduce energy usage by 15–50% and mitigate GHG emissions. However, challenges in implementation, including cybersecurity and training requirements, have been identified.
- IoT Integration: Integrating the IoT and the Internet of Energy (IoE) into BEMS has significantly improved energy management efficiency, particularly in smaller buildings and residential environments.
- Cost-Benefit Analysis: While initial BIPV costs are typically 10–30% higher than traditional building materials, these systems can generate between 50–150 kWh/m2 annually. A case study showed that a BIPV facade installation on a commercial building in Switzerland produced approximately 29,000 kWh annually, covering about 20% of the building’s electricity needs.
- LCOE: LCOE for BIPV systems has become more competitive. Research indicates that LCOE ranges from 0.08 to 0.13 €/kWh in Norway and 0.06 to 0.12 $/kWh in the United States, depending on location and system design.
- Simple Payback Period and ROI: Research across different countries has revealed simple payback periods for BIPV systems ranging from 5 to 15 years, with ROIs between 2.70% and 9%. These figures can improve significantly when considering the avoided costs of traditional building materials and potential increases in property value.
- Government Incentives: The study emphasizes the importance of government support in BIPV adoption. For example, Germany supports Building-Integrated Photovoltaic (BIPV) systems with feed-in tariffs (FiTs) ranging from 0.083 to 0.113 €/kWh, while the United States incentivizes solar installations, including BIPV, with a 26% federal tax credit.
9. Challenges and Future Outlook
10. Conclusions
Funding
Conflicts of Interest
References
- Kusi, E.; Boateng, I.; Danso, H. Energy Consumption and Carbon Emission of Conventional and Green Buildings Using Building Information Modelling (BIM). Int. J. Build. Pathol. Adapt. 2024; ahead-of-print. [Google Scholar] [CrossRef]
- Anestis, G.; Stathakis, D. Urbanization Trends from Global to the Local Scale. In Geographical Information Science; Elsevier: Amsterdam, The Netherlands, 2024; pp. 357–375. [Google Scholar] [CrossRef]
- Ghamari, M.; Sundaram, S. Solar Wall Technology and Its Impact on Building Performance. Energies 2024, 17, 1075. [Google Scholar] [CrossRef]
- Mohammad Bagher, A. Types of Solar Cells and Application. Am. J. Opt. Photonics 2015, 3, 94. [Google Scholar] [CrossRef]
- ElKhamisy, K.; Abdelhamid, H.; El-Rabaie, E.-S.M.; Abdel-Salam, N. A Comprehensive Survey of Silicon Thin-Film Solar Cell: Challenges and Novel Trends. Plasmonics 2024, 19, 1–20. [Google Scholar] [CrossRef]
- Barbato, M.; Artegiani, E.; Bertoncello, M.; Meneghini, M.; Trivellin, N.; Mantoan, E.; Romeo, A.; Mura, G.; Ortolani, L.; Zanoni, E.; et al. CdTe Solar Cells: Technology, Operation and Reliability. J. Phys. D Appl. Phys. 2021, 54, 333002. [Google Scholar] [CrossRef]
- Deb, D.; Bhargava, K. Thin-Film Photovoltaics. In Degradation, Mitigation, and Forecasting Approaches in Thin Film Photovoltaics; Elsevier: Amsterdam, The Netherlands, 2022; pp. 19–37. ISBN 9780128234839. [Google Scholar]
- Chopra, K.L.; Paulson, P.D.; Dutta, V. Thin-film Solar Cells: An Overview. Prog. Photovolt. Res. Appl. 2004, 12, 69–92. [Google Scholar] [CrossRef]
- Reinhard, P.; Chirilă, A.; Blösch, P.; Pianezzi, F.; Nishiwaki, S.; Buechelers, S.; Tiwari, A.N. Review of Progress toward 20% Efficiency Flexible CIGS Solar Cells and Manufacturing Issues of Solar Modules. In Proceedings of the 2012 IEEE 38th Photovoltaic Specialists Conference (PVSC) PART 2, Austin, TX, USA, 3–8 June 2012; pp. 1–9. [Google Scholar] [CrossRef]
- El-Atab, N.; Hussain, M.M. Flexible and Stretchable Inorganic Solar Cells: Progress, Challenges, and Opportunities. MRS Energy Sustain. 2020, 7, 19. [Google Scholar] [CrossRef]
- Pulli, E.; Rozzi, E.; Bella, F. Transparent Photovoltaic Technologies: Current Trends towards Upscaling. Energy Convers. Manag. 2020, 219, 112982. [Google Scholar] [CrossRef]
- Martín-Chivelet, N.; Kapsis, K.; Wilson, H.R.; Delisle, V.; Yang, R.; Olivieri, L.; Polo, J.; Eisenlohr, J.; Roy, B.; Maturi, L.; et al. Building-Integrated Photovoltaic (BIPV) Products and Systems: A Review of Energy-Related Behavior. Energy Build. 2022, 262, 111998. [Google Scholar] [CrossRef]
- HoHossain, J.; Kadir, A.F.A.; Hanafi, A.N.; Shareef, H.; Khatib, T.; Baharin, K.A.; Sulaima, M.F. A Review on Optimal Energy Management in Commercial Buildings. Energies 2023, 16, 1609. [Google Scholar] [CrossRef]
- Digitemie, W.N.; Ekemezie, I.O. A Comprehensive Review of Building Energy Management Systems (BEMS) for Improved Efficiency. World J. Adv. Res. Rev. 2024, 21, 829–841. [Google Scholar] [CrossRef]
- Norouzi, M.; Colclough, S.; Jiménez, L.; Gavaldà, J.; Boer, D. Low-Energy Buildings in Combination with Grid Decarbonization, Life Cycle Assessment of Passive House Buildings in Northern Ireland. Energy Build. 2022, 261, 111936. [Google Scholar] [CrossRef]
- Seal, S.; Boulet, B.; Dehkordi, V.R. Centralized Model Predictive Control Strategy for Thermal Comfort and Residential Energy Management. Energy 2020, 212, 118456. [Google Scholar] [CrossRef]
- Peng, J.; Curcija, D.C.; Thanachareonkit, A.; Lee, E.S.; Goudey, H.; Jonsson, J.; Selkowitz, S.E. Comparative Study on the Overall Energy Performance between Photovoltaic and Low-E Insulated Glass Units. Sol. Energy 2021, 214, 443–456. [Google Scholar] [CrossRef]
- Peng, J.; Curcija, D.C.; Lu, L.; Selkowitz, S.E.; Yang, H.; Zhang, W. Numerical Investigation of the Energy Saving Potential of a Semi-Transparent Photovoltaic Double-Skin Facade in a Cool-Summer Mediterranean Climate. Appl. Energy 2016, 165, 345–356. [Google Scholar] [CrossRef]
- Liu, K.; Zhu, B.; Chen, J. Low-Carbon Design Path of Building Integrated Photovoltaics: A Comparative Study Based on Green Building Rating Systems. Buildings 2021, 11, 469. [Google Scholar] [CrossRef]
- Macarulla, M.; Casals, M.; Forcada, N.; Gangolells, M. Implementation of Predictive Control in a Commercial Building Energy Management System Using Neural Networks. Energy Build. 2017, 151, 511–519. [Google Scholar] [CrossRef]
- Drgoňa, J.; Arroyo, J.; Cupeiro Figueroa, I.; Blum, D.; Arendt, K.; Kim, D.; Ollé, E.P.; Oravec, J.; Wetter, M.; Vrabie, D.L.; et al. All You Need to Know about Model Predictive Control for Buildings. Annu. Rev. Control 2020, 50, 190–232. [Google Scholar] [CrossRef]
- Schieweck, A.; Uhde, E.; Salthammer, T.; Salthammer, L.C.; Morawska, L.; Mazaheri, M.; Kumar, P. Smart Homes and the Control of Indoor Air Quality. Renew. Sustain. Energy Rev. 2018, 94, 705–718. [Google Scholar] [CrossRef]
- Ban, M.; Krajačić, G.; Grozdek, M.; Ćurko, T.; Duić, N. The Role of Cool Thermal Energy Storage (CTES) in the Integration of Renewable Energy Sources (RES) and Peak Load Reduction. Energy 2012, 48, 108–117. [Google Scholar] [CrossRef]
- Vasudevan, K.R.; Ramachandaramurthy, V.K.; Venugopal, G.; Ekanayake, J.B.; Tiong, S.K. Variable Speed Pumped Hydro Storage: A Review of Converters, Controls and Energy Management Strategies. Renew. Sustain. Energy Rev. 2021, 135, 110156. [Google Scholar] [CrossRef]
- Gholami, H.; Nils Røstvik, H.; Steemers, K. The Contribution of Building-Integrated Photovoltaics (BIPV) to the Concept of Nearly Zero-Energy Cities in Europe: Potential and Challenges Ahead. Energies 2021, 14, 6015. [Google Scholar] [CrossRef]
- Yang, R.J.; Zou, P.X.W. Building Integrated Photovoltaics (BIPV): Costs, Benefits, Risks, Barriers and Improvement Strategy. Int. J. Constr. Manag. 2016, 16, 39–53. [Google Scholar] [CrossRef]
- Al-Janahi, S.A.; Al-Ghamdi, S.G. Environmental Impact Associated with the Performance of Building Integrated Photovoltaics: Life-Cycle Assessment Perspective. In Energy Systems Evaluation (Volume 1). Green Energy and Technology; Springer: Cham, Switzerland, 2021; pp. 203–225. [Google Scholar] [CrossRef]
- Duan, L.; Walter, D.; Chang, N.; Bullock, J.; Kang, D.; Phang, S.P.; Weber, K.; White, T.; Macdonald, D.; Catchpole, K.; et al. Stability Challenges for the Commercialization of Perovskite–Silicon Tandem Solar Cells. Nat. Rev. Mater. 2023, 8, 261–281. [Google Scholar] [CrossRef]
- Wang, G.; Fang, J.; Yan, C.; Huang, D.; Hu, K.; Zhou, K. Advancements in Smart Building Envelopes: A Comprehensive Review. Energy Build. 2024, 312, 114190. [Google Scholar] [CrossRef]
- Borges Migliavaca, C.; Stein, C.; Colpani, V.; Barker, T.H.; Munn, Z.; Falavigna, M. How Are Systematic Reviews of Prevalence Conducted? A Methodological Study. BMC Med. Res. Methodol. 2020, 20, 96. [Google Scholar] [CrossRef]
- Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med. 2009, 6, e1000097. [Google Scholar] [CrossRef]
- Krishnan, P.; Prabu, A.V.; Loganathan, S.; Routray, S.; Ghosh, U.; AL-Numay, M. Analyzing and Managing Various Energy-Related Environmental Factors for Providing Personalized IoT Services for Smart Buildings in Smart Environment. Sustainability 2023, 15, 6548. [Google Scholar] [CrossRef]
- Rehman, A.U.; Ghafoor, N.; Sheikh, S.R.; Kausar, Z.; Rauf, F.; Sher, F.; Shah, M.F.; Yaqoob, H. A Study of Hot Climate Low-Cost Low-Energy Eco-Friendly Building Envelope with Embedded Phase Change Material. Energies 2021, 14, 3544. [Google Scholar] [CrossRef]
- Shukla, A.K.; Sudhakar, K.; Baredar, P. Recent Advancement in BIPV Product Technologies: A Review. Energy Build. 2017, 140, 188–195. [Google Scholar] [CrossRef]
- Hunt, D.R.G. The Use of Artificial Lighting in Relation to Daylight Levels and Occupancy. Build. Environ. 1979, 14, 21–33. [Google Scholar] [CrossRef]
- Um-e-Habiba; Ahmed, I.; Asif, M.; Alhelou, H.H.; Khalid, M. A Review on Enhancing Energy Efficiency and Adaptability through System Integration for Smart Buildings. J. Build. Eng. 2024, 89, 109354. [Google Scholar] [CrossRef]
- Alam, T.; Salem, A.A.; Alsharif, A.O.; Alhejaili, A.M. Smart Home Automation Towards the Development of Smart Cities. APTIKOM J. Comput. Sci. Inf. Technol. 2020, 5, 13–20. [Google Scholar] [CrossRef]
- Hu, S.; Yan, D.; Azar, E.; Guo, F. A Systematic Review of Occupant Behavior in Building Energy Policy. Build. Environ. 2020, 175, 106807. [Google Scholar] [CrossRef]
- Jelle, B.P.; Breivik, C. State-of-the-Art Building Integrated Photovoltaics. Energy Procedia 2012, 20, 68–77. [Google Scholar] [CrossRef]
- Petter Jelle, B.; Breivik, C.; Drolsum Røkenes, H. Building Integrated Photovoltaic Products: A State-of-the-Art Review and Future Research Opportunities. Sol. Energy Mater. Sol. Cells 2012, 100, 69–96. [Google Scholar] [CrossRef]
- Chagnon-Lessard, N.; Gosselin, L.; Barnabe, S.; Bello-Ochende, T.; Fendt, S.; Goers, S.; Da Silva, L.C.P.; Schweiger, B.; Simmons, R.; Vandersickel, A.; et al. Smart Campuses: Extensive Review of the Last Decade of Research and Current Challenges. IEEE Access 2021, 9, 124200–124234. [Google Scholar] [CrossRef]
- Apanavičienė, R.; Shahrabani, M.M.N. Key Factors Affecting Smart Building Integration into Smart City: Technological Aspects. Smart Cities 2023, 6, 1832–1857. [Google Scholar] [CrossRef]
- Parag, Y.; Sovacool, B.K. Electricity Market Design for the Prosumer Era. Nat. Energy 2016, 1, 16032. [Google Scholar] [CrossRef]
- Biyik, E.; Araz, M.; Hepbasli, A.; Shahrestani, M.; Yao, R.; Shao, L.; Essah, E.; Oliveira, A.C.; del Caño, T.; Rico, E.; et al. A Key Review of Building Integrated Photovoltaic (BIPV) Systems. Eng. Sci. Technol. Int. J. 2017, 20, 833–858. [Google Scholar] [CrossRef]
- EN 50583-2:2016; Photovoltaics in Buildings–Part 2: BIPV Systems. European Committee for Standardization: Brussels, Belgium, 2016. [CrossRef]
- IEC 63092-1:2020; Photovoltaics in Buildings–Part 1: Requirements for Building-Integrated Photovoltaic Modules. International Electrotechnical Commission: Geneva, Switzerland, 2020. [CrossRef]
- Basher, M.K.; Nur-E-Alam, M.; Rahman, M.M.; Alameh, K.; Hinckley, S. Aesthetically Appealing Building Integrated Photovoltaic Systems for Net-Zero Energy Buildings. Current Status, Challenges, and Future Developments—A Review. Buildings 2023, 13, 863. [Google Scholar] [CrossRef]
- Li, Y.; Mao, Y.; Wang, W.; Wu, N. Net-Zero Energy Consumption Building in China: An Overview of Building-Integrated Photovoltaic Case and Initiative toward Sustainable Future Development. Buildings 2023, 13, 2024. [Google Scholar] [CrossRef]
- ISO/TS 18178:2018; Glass in Building—Laminated Solar Photovoltaic Glass for Use in Buildings. International Organization for Standardization: Geneva, Switzerland, 2018. [CrossRef]
- Bonomo, P.; Frontini, F.; Loonen, R.; Reinders, A.H.M.E. Comprehensive Review and State of Play in the Use of Photovoltaics in Buildings. Energy Build. 2024, 323, 114737. [Google Scholar] [CrossRef]
- Boronuosi, F.; Aghababaei, S.; Azad, S.; Ameli, M.T.; Nazari-Heris, M. Building-Integrated Photovoltaic (BIPV) and Its Application, Design, and Policy and Strategies. In Natural Energy, Lighting, and Ventilation in Sustainable Buildings; Springer: Cham, Switzerland, 2024; pp. 91–109. [Google Scholar] [CrossRef]
- Martín Chivelet, N.; Kapsis, C.; Frontini, F. Building-Integrated Photovoltaics; Routledge: New York, NY, USA, 2024. [Google Scholar] [CrossRef]
- Reddy, V.J.; Hariram, N.P.; Ghazali, M.F.; Kumarasamy, S. Pathway to Sustainability: An Overview of Renewable Energy Integration in Building Systems. Sustainability 2024, 16, 638. [Google Scholar] [CrossRef]
- Yang, T.; Athienitis, A.K. A Review of Research and Developments of Building-Integrated Photovoltaic/Thermal (BIPV/T) Systems. Renew. Sustain. Energy Rev. 2016, 66, 886–912. [Google Scholar] [CrossRef]
- Aguacil, S.; Duque, S.; Lufkin, S.; Rey, E. Designing with Building-Integrated Photovoltaics (BIPV): A Pathway to Decarbonize Residential Buildings. J. Build. Eng. 2024, 96, 110486. [Google Scholar] [CrossRef]
- Yang, R.J.; Imalka, S.T.; Wijeratne, W.M.P.; Amarasinghe, G.; Weerasinghe, N.; Jayakumari, S.D.S.; Zhao, H.; Wang, Z.; Gunarathna, C.; Perrie, J.; et al. Digitalizing Building Integrated Photovoltaic (BIPV) Conceptual Design: A Framework and an Example Platform. Build. Environ. 2023, 243, 110675. [Google Scholar] [CrossRef]
- Attoye, D.E.; Tabet Aoul, K.A.; Hassan, A. Mandatory Policy, Innovations and the Renewable Energy Debate: A Case Study on Building Integrated Photovoltaics. Buildings 2022, 12, 931. [Google Scholar] [CrossRef]
- IEC 61730-1:2016; Photovoltaic (PV) Module Safety Qualification Part 1: Requirements for Construction. International Electrotechnical Commission: Geneva, Switzerland, 2016. [CrossRef]
- BS/EN 61215:2016; Terrestrial Photovoltaic (PV) Modules–Design Qualification and Type Approval. The British Standards Institute: London, UK, 2016. [CrossRef]
- IEC 61215:2021; Terrestrial Photovoltaic (PV) Mdules–Design Qualification and Type Approval. International Electrotechnical Commission: Geneva, Switzerland, 2021. [CrossRef]
- Heinstein, P.; Ballif, C.; Perret-Aebi, L.-E. Building Integrated Photovoltaics (BIPV): Review, Potentials, Barriers and Myths. Green 2013, 3, 125–156. [Google Scholar] [CrossRef]
- Ghamari, M.; Sundaram, S. Solar Window Innovations: Enhancing Building Performance through Advanced Technologies. Energies 2024, 17, 3369. [Google Scholar] [CrossRef]
- Maghrabie, H.M.; Abdelkareem, M.A.; Al-Alami, A.H.; Ramadan, M.; Mushtaha, E.; Wilberforce, T.; Olabi, A.G. State-of-the-Art Technologies for Building-Integrated Photovoltaic Systems. Buildings 2021, 11, 383. [Google Scholar] [CrossRef]
- Maghrabie, H.M.; Elsaid, K.; Sayed, E.T.; Abdelkareem, M.A.; Wilberforce, T.; Olabi, A.G. Building-Integrated Photovoltaic/Thermal (BIPVT) Systems: Applications and Challenges. Sustain. Energy Technol. Assess. 2021, 45, 101151. [Google Scholar] [CrossRef]
- Del Pero, C.; Leonforte, F.; Aste, N. Building-Integrated Photovoltaics in Existing Buildings: A Novel PV Roofing System. Buildings 2024, 14, 2270. [Google Scholar] [CrossRef]
- Kim, D.; Shin, S.S.; Lee, S.M.; Cho, J.; Yun, J.H.; Lee, H.S.; Park, J.H. Ultra-Thin Glass: Flexible and Semi-Transparent Ultra-Thin CIGSe Solar Cells Prepared on Ultra-Thin Glass Substrate: A Key to Flexible Bifacial Photovoltaic Applications (Adv. Funct. Mater. 36/2020). Adv. Funct. Mater. 2020, 30, 2070241. [Google Scholar] [CrossRef]
- Gholami, H.; Røstvik, H.N.; Müller-Eie, D. Holistic Economic Analysis of Building Integrated Photovoltaics (BIPV) System: Case Studies Evaluation. Energy Build. 2019, 203, 109461. [Google Scholar] [CrossRef]
- Akadiri, P.O.; Chinyio, E.A.; Olomolaiye, P.O. Design of A Sustainable Building: A Conceptual Framework for Implementing Sustainability in the Building Sector. Buildings 2012, 2, 126–152. [Google Scholar] [CrossRef]
- Ghosh, A.; Norton, B. Advances in Switchable and Highly Insulating Autonomous (Self-Powered) Glazing Systems for Adaptive Low Energy Buildings. Renew. Energy 2018, 126, 1003–1031. [Google Scholar] [CrossRef]
- Hu, D.; Li, Y.; Liu, C.; Li, Y. Analysis for the Heat Transfer of Fully Tempered Vacuum Glazing Based on the Thermal Resistance Model and Finite Element Model. Adv. Mech. Eng. 2018, 10, 168781401879598. [Google Scholar] [CrossRef]
- Osseweijer, F.J.W.; van den Hurk, L.B.P.; Teunissen, E.J.H.M.; van Sark, W.G.J.H.M. A Comparative Review of Building Integrated Photovoltaics Ecosystems in Selected European Countries. Renew. Sustain. Energy Rev. 2018, 90, 1027–1040. [Google Scholar] [CrossRef]
- Duarte, C.; Van Den Wymelenberg, K.; Rieger, C. Revealing Occupancy Patterns in an Office Building through the Use of Occupancy Sensor Data. Energy Build. 2013, 67, 587–595. [Google Scholar] [CrossRef]
- Jordan, D.C.; Kurtz, S.R. Photovoltaic Degradation Rates—An Analytical Review. Prog. Photovolt. Res. Appl. 2013, 21, 12–29. [Google Scholar] [CrossRef]
- Desnz Energy Consumption in the UK (ECUK) 1970 to 2022. Available online: https://assets.publishing.service.gov.uk/media/651422e03d371800146d0c9e/Energy_Consumption_in_the_UK_2023.pdf (accessed on 27 November 2024).
- Beis Energy Consumption in the UK (ECUK) 1970 to 2021 Million Tonnes of Oil Equivalent Industry Transport Services Domestic. Available online: https://assets.publishing.service.gov.uk/media/62334e14d3bf7f047bfa92b0/Energy_Consumption_in_the_UK_2021.pdf (accessed on 27 November 2024).
- Coleman, M.; Brown, N.; Wright, A.; Firth, S.K. Information, Communication and Entertainment Appliance Use—Insights from a UK Household Study. Energy Build. 2012, 54, 61–72. [Google Scholar] [CrossRef]
- Ioannidis, Z.; Rounis, E.-D.; Athienitis, A.; Stathopoulos, T. Double Skin Façade Integrating Semi-Transparent Photovoltaics: Experimental Study on Forced Convection and Heat Recovery. Appl. Energy 2020, 278, 115647. [Google Scholar] [CrossRef]
- Blyton, P.; Blunsdon, B.; Reed, K.; Dastmalchian, A. (Eds.) Ways of Living; Palgrave Macmillan UK: London, UK, 2010; ISBN 978-1-349-30039-6. [Google Scholar]
- Šujanová, P.; Rychtáriková, M.; Sotto Mayor, T.; Hyder, A. A Healthy, Energy-Efficient and Comfortable Indoor Environment, a Review. Energies 2019, 12, 1414. [Google Scholar] [CrossRef]
- Heimicke, J.; Spahic, A.; Bramato, L.; Albers, A. Ermittlung von Anforderungen an Eine Anwendungsfall-Spezifische Einführung Agiler Ansätze Erkenntnisse Aus Der Anwendung Des Agile-Stage-Gate Hybrids. In Proceedings of the Entwerfen Entwickeln Erleben in Produktentwicklung und Design 2021, Dresden, German, 17–18 June 2021; pp. 633–644. [Google Scholar]
- Wei, Z.; Calautit, J. Evaluation of Model Predictive Control (MPC) of Solar Thermal Heating System with Thermal Energy Storage for Buildings with Highly Variable Occupancy Levels. Build. Simul. 2023, 16, 1915–1931. [Google Scholar] [CrossRef]
- Meier, P.F. The Changing Energy Mix; Oxford University Press: Oxford, UK, 2020; ISBN 9780190098391. [Google Scholar]
- Godoy-Shimizu, D.; Steadman, P.; Hamilton, I.; Donn, M.; Evans, S.; Moreno, G.; Shayesteh, H. Energy Use and Height in Office Buildings. Build. Res. Inf. 2018, 46, 845–863. [Google Scholar] [CrossRef]
- Abela, A.; Hamilton, L.; Hitchin, R.; Lewry, A.; Pout, C. Study on Energy Use by Air-Conditioning: Final Report BRE Client Report for the Department of Energy & Climate Change, HPR218-1001-June 2016 Contents. Available online: www.nationalarchives.gov.uk/doc/open-government-licence/ (accessed on 1 June 2016).
- Zahraoui, Y.; Alhamrouni, I.; Mekhilef, S.; Basir Khan, M.R.; Seyedmahmoudian, M.; Stojcevski, A.; Horan, B. Energy Management System in Microgrids: A Comprehensive Review. Sustainability 2021, 13, 10492. [Google Scholar] [CrossRef]
- Trinh, H.-A.; Truong, H.V.A.; Do, T.C.; Nguyen, M.H.; Du Phan, V.; Ahn, K.K. Optimization-Based Energy Management Strategies for Hybrid Construction Machinery: A Review. Energy Rep. 2022, 8, 6035–6057. [Google Scholar] [CrossRef]
- Rathor, S.K.; Saxena, D. Energy Management System for Smart Grid: An Overview and Key Issues. Int. J. Energy Res. 2020, 44, 4067–4109. [Google Scholar] [CrossRef]
- Wu, Y.; Wu, Y.; Guerrero, J.M.; Vasquez, J.C. A Comprehensive Overview of Framework for Developing Sustainable Energy Internet: From Things-Based Energy Network to Services-Based Management System. Renew. Sustain. Energy Rev. 2021, 150, 111409. [Google Scholar] [CrossRef]
- Ruiz, D.P.; Vasquez, R.A.D.; Jadan, B.V. Predictive Energy Management in Internet of Things: Optimization of Smart Buildings for Energy Efficiency. J. Intell. Syst. Internet Things 2023, 10, 8–17. [Google Scholar] [CrossRef]
- Miglani, A.; Kumar, N.; Chamola, V.; Zeadally, S. Blockchain for Internet of Energy Management: Review, Solutions, and Challenges. Comput. Commun. 2020, 151, 395–418. [Google Scholar] [CrossRef]
- Hoang, A.T.; Pham, V.V.; Nguyen, X.P. Integrating Renewable Sources into Energy System for Smart City as a Sagacious Strategy towards Clean and Sustainable Process. J. Clean. Prod. 2021, 305, 127161. [Google Scholar] [CrossRef]
- Wang, W.; Xu, K.; Song, S.; Bao, Y.; Xiang, C. From BIM to Digital Twin in BIPV: A Review of Current Knowledge. Sustain. Energy Technol. Assess. 2024, 67, 103855. [Google Scholar] [CrossRef]
- Himeur, Y.; Sayed, A.N.; Alsalemi, A.; Bensaali, F.; Amira, A. Edge AI for Internet of Energy: Challenges and Perspectives. Internet Things 2024, 25, 101035. [Google Scholar] [CrossRef]
- Liu, J.; Hu, C.; Kimber, A.; Wang, Z. Uses, Cost-Benefit Analysis, and Markets of Energy Storage Systems for Electric Grid Applications. J. Energy Storage 2020, 32, 101731. [Google Scholar] [CrossRef]
- Ostadijafari, M.; Dubey, A.; Yu, N. Linearized Price-Responsive HVAC Controller for Optimal Scheduling of Smart Building Loads. IEEE Trans. Smart Grid 2020, 11, 3131–3145. [Google Scholar] [CrossRef]
- Ghamari, M.; See, C.H.; Hughes, D.; Mallick, T.; Reddy, K.S.; Patchigolla, K.; Sundaram, S. Advancing Sustainable Building through Passive Cooling with Phase Change Materials, a Comprehensive Literature Review. Energy Build. 2024, 312, 114164. [Google Scholar] [CrossRef]
- Kong, J.; Dong, Y.; Poshnath, A.; Rismanchi, B.; Yap, P.-S. Application of Building Integrated Photovoltaic (BIPV) in Net-Zero Energy Buildings (NZEBs). Energies 2023, 16, 6401. [Google Scholar] [CrossRef]
- Aste, N.; Caputo, P.; Del Pero, C.; Ferla, G.; Huerto-Cardenas, H.E.; Leonforte, F.; Miglioli, A. A Renewable Energy Scenario for a New Low Carbon Settlement in Northern Italy: Biomass District Heating Coupled with Heat Pump and Solar Photovoltaic System. Energy 2020, 206, 118091. [Google Scholar] [CrossRef]
- Biegańska, M. IoT-Based Decentralized Energy Systems. Energies 2022, 15, 7830. [Google Scholar] [CrossRef]
- Kim, D.; Lee, J.; Do, S.; Mago, P.J.; Lee, K.H.; Cho, H. Energy Modeling and Model Predictive Control for HVAC in Buildings: A Review of Current Research Trends. Energies 2022, 15, 7231. [Google Scholar] [CrossRef]
- Du, P.; Huang, B.; Liu, Z.; Yang, C.; Sun, Q. Real-Time Energy Management for Net-Zero Power Systems Based on Shared Energy Storage. J. Mod. Power Syst. Clean Energy 2024, 12, 371–380. [Google Scholar] [CrossRef]
- Liu, L.; Zhang, Q.; Zhai, Z.J.; Yue, C.; Ma, X. State-of-the-Art on Thermal Energy Storage Technologies in Data Center. Energy Build. 2020, 226, 110345. [Google Scholar] [CrossRef]
- Li, Y.; Lu, Y.; Sun, J.; Wang, T.; Zong, S.; Zhou, T.; Wang, X. Operational Strategy of a DC Inverter Heat Pump System Considering PV Power Fluctuation and Demand-Side Load Characteristics. Buildings 2024, 14, 1139. [Google Scholar] [CrossRef]
- Jerez, S.; Tobin, I.; Vautard, R.; Montávez, J.P.; López-Romero, J.M.; Thais, F.; Bartok, B.; Christensen, O.B.; Colette, A.; Déqué, M.; et al. The Impact of Climate Change on Photovoltaic Power Generation in Europe. Nat. Commun. 2015, 6, 10014. [Google Scholar] [CrossRef] [PubMed]
- Skandalos, N.; Wang, M.; Kapsalis, V.; D’Agostino, D.; Parker, D.; Bhuvad, S.S.; Udayraj; Peng, J.; Karamanis, D. Building PV Integration According to Regional Climate Conditions: BIPV Regional Adaptability Extending Köppen-Geiger Climate Classification against Urban and Climate-Related Temperature Increases. Renew. Sustain. Energy Rev. 2022, 169, 112950. [Google Scholar] [CrossRef]
- Ma, W.W.; Rasul, M.G.; Liu, G.; Li, M.; Tan, X.H. Climate Change Impacts on Techno-Economic Performance of Roof PV Solar System in Australia. Renew. Energy 2016, 88, 430–438. [Google Scholar] [CrossRef]
- Tamer, T.; Gürsel Dino, I.; Meral Akgül, C. Data-Driven, Long-Term Prediction of Building Performance under Climate Change: Building Energy Demand and BIPV Energy Generation Analysis across Turkey. Renew. Sustain. Energy Rev. 2022, 162, 112396. [Google Scholar] [CrossRef]
- Ng, P.K.; Mithraratne, N. Lifetime Performance of Semi-Transparent Building-Integrated Photovoltaic (BIPV) Glazing Systems in the Tropics. Renew. Sustain. Energy Rev. 2014, 31, 736–745. [Google Scholar] [CrossRef]
- Wang, Y.; Liu, S.; Wang, Q.; Ji, X.; Yang, G.; Chen, J.; Fatehi, P. Strong, Ductile and Biodegradable Polylactic Acid/Lignin-Containing Cellulose Nanofibril Composites with Improved Thermal and Barrier Properties. Ind. Crops Prod. 2021, 171, 113898. [Google Scholar] [CrossRef]
- Marzouk, M.A.; Salheen, M.A.; Fischer, L.K. Functionalizing Building Envelopes for Greening and Solar Energy: Between Theory and the Practice in Egypt. Front. Environ. Sci. 2022, 10, 1056382. [Google Scholar] [CrossRef]
- Larsen, M.A.D.; Petrović, S.; Radoszynski, A.M.; McKenna, R.; Balyk, O. Climate Change Impacts on Trends and Extremes in Future Heating and Cooling Demands over Europe. Energy Build. 2020, 226, 110397. [Google Scholar] [CrossRef]
- Yu, G.; Yang, H.; Luo, D.; Cheng, X.; Ansah, M.K. A Review on Developments and Researches of Building Integrated Photovoltaic (BIPV) Windows and Shading Blinds. Renew. Sustain. Energy Rev. 2021, 149, 111355. [Google Scholar] [CrossRef]
- van Ruijven, B.J.; De Cian, E.; Sue Wing, I. Amplification of Future Energy Demand Growth Due to Climate Change. Nat. Commun. 2019, 10, 2762. [Google Scholar] [CrossRef]
- Meng, Q.; Tong, X.; Hussain, S.; Luo, F.; Zhou, F.; Liu, L.; He, Y.; Jin, X.; Li, B. Revolutionizing Photovoltaic Consumption and Electric Vehicle Charging: A Novel Approach for Residential Distribution Systems. IET Gener. Transm. Distrib. 2024, 18, 2822–2833. [Google Scholar] [CrossRef]
- Rababah, H.E.; Ghazali, A.; Mohd Isa, M.H. Building Integrated Photovoltaic (BIPV) in Southeast Asian Countries: Review of Effects and Challenges. Sustainability 2021, 13, 12952. [Google Scholar] [CrossRef]
- Sharma, R.; Sharma, A.; Agarwal, S.; Dhaka, M.S. Stability and Efficiency Issues, Solutions and Advancements in Perovskite Solar Cells: A Review. Sol. Energy 2022, 244, 516–535. [Google Scholar] [CrossRef]
- Roberts, B.; Lomas, K.; Gough, K.; Kasei, R.; Manu, F.; Spentzou, E.; Wilby, R. Designing Dwellings to Cope with Extreme Heat in Low-Income Communities. In Comfort at The Extremes 2023: The Book of Proceedings; Loughborough University: Loughborough, UK, 2024. [Google Scholar] [CrossRef]
- Wang, X.; Zhang, L.; Fang, L.; Su, X.; Yang, H.; Tang, X. Optimizing the Thermal Performance of the Window with Horizontal Transparent Insulation Slats: A Comprehensive Analysis and Comparative Evaluation. Therm. Sci. Eng. Prog. 2023, 46, 102165. [Google Scholar] [CrossRef]
- Dimitrios Rounis, E.; Ioannidis, Z.; Sigounis, A.-M.; Athienitis, A.; Stathopoulos, T. A Novel Approach for the Modelling of Convective Phenomena for Building Integrated Photovoltaic Thermal (BIPV/T) Systems. Sol. Energy 2022, 232, 328–343. [Google Scholar] [CrossRef]
- Simko, T.; Moore, T. Optimal Window Designs for Australian Houses. Energy Build. 2021, 250, 111300. [Google Scholar] [CrossRef]
- Aguilar-Santana, J.L.; Velasco-Carrasco, M.; Riffat, S. Thermal Transmittance (U-Value) Evaluation of Innovative Window Technologies. Future Cities Environ. 2020, 6, 12. [Google Scholar] [CrossRef]
- Aguilar-Santana, J.L.; Jarimi, H.; Velasco-Carrasco, M.; Riffat, S. Review on Window-Glazing Technologies and Future Prospects. Int. J. Low-Carbon Technol. 2020, 15, 112–120. [Google Scholar] [CrossRef]
- Bueno, B.; Schregle, R.; Rose Wilson, H.; Amann, U.; Kuhn, T.E. Angular Divergence of Solar Simulators and Its Impact on the Measured Solar Heat Gain Coefficient of Fenestration Systems. Sol. Energy 2022, 236, 644–653. [Google Scholar] [CrossRef]
- Montecchi, M.; Nichelatti, E.; Polato, P. Hybrid Equivalent Model Algorithm for the Prediction of Glazing Angular Properties. Sol. Energy Mater. Sol. Cells 2002, 71, 327–342. [Google Scholar] [CrossRef]
- Singh, M.C.; Garg, S.N. An Empirical Model for Angle-Dependent g-Values of Glazings. Energy Build. 2010, 42, 375–379. [Google Scholar] [CrossRef]
- Kessler, F.; Rudmann, D. Technological Aspects of Flexible CIGS Solar Cells and Modules. Sol. Energy 2004, 77, 685–695. [Google Scholar] [CrossRef]
- Romeo, A.; Terheggen, M.; Abou-Ras, D.; Bätzner, D.L.; Haug, F.-J.; Kälin, M.; Rudmann, D.; Tiwari, A.N. Development of Thin-film Cu(In,Ga)Se 2 and CdTe Solar Cells. Prog. Photovolt. Res. Appl. 2004, 12, 93–111. [Google Scholar] [CrossRef]
- Shah, A.V.; Platz, R.; Keppner, H. Thin-Film Silicon Solar Cells: A Review and Selected Trends. Sol. Energy Mater. Sol. Cells 1995, 38, 501–520. [Google Scholar] [CrossRef]
- Van De Walle, C.G. Hydrogen Interactions with Polycrystalline and Amorphous Silicon—Theory. In Semiconductors and Semimetals; Elsevier: Amsterdam, The Netherlands, 1999; pp. 241–281. [Google Scholar] [CrossRef]
- Agarwal, S.C.; Omar, S. Forty Years of the Staebler–Wronski Effect. Philos. Mag. 2018, 98, 2512–2528. [Google Scholar] [CrossRef]
- Lee, T.D.; Ebong, A.U. A Review of Thin Film Solar Cell Technologies and Challenges. Renew. Sustain. Energy Rev. 2017, 70, 1286–1297. [Google Scholar] [CrossRef]
- Mews, M.; Leendertz, C.; Algasinger, M.; Koynov, S.; Korte, L. Amorphous/Crystalline Silicon Heterojunction Solar Cells with Black Silicon Texture. Phys. Status Solidi (RRL)—Rapid Res. Lett. 2014, 8, 831–835. [Google Scholar] [CrossRef]
- Koroneos, C.; Stylos, N.; Moussiopoulos, N. LCA of Multicrystalline Silicon Photovoltaic Systems—Part 1: Present Situation and Future Perspectives (8 Pp). Int. J. Life Cycle Assess. 2006, 11, 129–136. [Google Scholar] [CrossRef]
- Green, M.A.; Hishikawa, Y.; Dunlop, E.D.; Levi, D.H.; Hohl-Ebinger, J.; Yoshita, M.; Ho-Baillie, A.W.Y. Solar Cell Efficiency Tables (Version 53). Prog. Photovolt. Res. Appl. 2019, 27, 3–12. [Google Scholar] [CrossRef]
- Parida, B.; Iniyan, S.; Goic, R. A Review of Solar Photovoltaic Technologies. Renew. Sustain. Energy Rev. 2011, 15, 1625–1636. [Google Scholar] [CrossRef]
- Stolik, L.; Eslamisaray, M.A.; Nguyen, E.; Kortshagen, U.R.; Kakalios, J. Hopping Charge Transport in Hydrogenated Amorphous Silicon–Germanium Alloy Thin Films. J. Appl. Phys. 2022, 131, 225110. [Google Scholar] [CrossRef]
- Arya, S.; Mahajan, P. Silicon-Based Solar Cells. In Solar Cells; Springer: Singapore, 2023; pp. 37–76. [Google Scholar] [CrossRef]
- Romeo, A.; Artegiani, E. CdTe-Based Thin Film Solar Cells: Past, Present and Future. Energies 2021, 14, 1684. [Google Scholar] [CrossRef]
- Supekar, A.; Kapadnis, R.; Bansode, S.; Bhujbal, P.; Kale, S.; Jadkar, S.; Pathan, H. Cadmium Telluride/Cadmium Sulfide Thin Films Solar Cells: A Review. ES Energy Environ. 2020, 10, 3–12. [Google Scholar] [CrossRef]
- Maalouf, A.; Okoroafor, T.; Jehl, Z.; Babu, V.; Resalati, S. A Comprehensive Review on Life Cycle Assessment of Commercial and Emerging Thin-Film Solar Cell Systems. Renew. Sustain. Energy Rev. 2023, 186, 113652. [Google Scholar] [CrossRef]
- Bosio, A.; Pasini, S.; Romeo, N. The History of Photovoltaics with Emphasis on CdTe Solar Cells and Modules. Coatings 2020, 10, 344. [Google Scholar] [CrossRef]
- Lovergine, N.; Cingolani, R.; Mancini, A.M.; Ferrara, M. Photoluminescence of CVD Grown CdS Epilayers on CdTe Substrates. J. Cryst. Growth 1992, 118, 304–308. [Google Scholar] [CrossRef]
- Lovergine, N.; Liaci, L.; Ganière, J.-D.; Leo, G.; Drigo, A.V.; Romanato, F.; Mancini, A.M.; Vasanelli, L. Inhomogeneous Strain Relaxation and Defect Distribution of ZnTe Layers Deposited on (100)GaAs by Metalorganic Vapor Phase Epitaxy. J. Appl. Phys. 1995, 78, 229–235. [Google Scholar] [CrossRef]
- Pokhrel, D.; Bastola, E.; Khanal Subedi, K.; Rijal, S.; Jamarkattel, M.K.; Awni, R.A.; Phillips, A.B.; Yan, Y.; Heben, M.J.; Ellingson, R.J. Copper Iodide Nanoparticles as a Hole Transport Layer to CdTe Photovoltaics: 5.5% Efficient Back-Illuminated Bifacial CdTe Solar Cells. Sol. Energy Mater. Sol. Cells 2022, 235, 111451. [Google Scholar] [CrossRef]
- Zhang, Z.; Li, Z.; Meng, L.; Lien, S.; Gao, P. Perovskite-Based Tandem Solar Cells: Get the Most Out of the Sun. Adv. Funct. Mater. 2020, 30, 2001904. [Google Scholar] [CrossRef]
- Alrashidi, H.; Ghosh, A.; Issa, W.; Sellami, N.; Mallick, T.K.; Sundaram, S. Thermal Performance of Semitransparent CdTe BIPV Window at Temperate Climate. Sol. Energy 2020, 195, 536–543. [Google Scholar] [CrossRef]
- Ramanujam, J.; Singh, U.P. Copper Indium Gallium Selenide Based Solar Cells—A Review. Energy Env. Sci. 2017, 10, 1306–1319. [Google Scholar] [CrossRef]
- Todorov, T.; Hillhouse, H.W.; Aazou, S.; Sekkat, Z.; Vigil-Galán, O.; Deshmukh, S.D.; Agrawal, R.; Bourdais, S.; Valdés, M.; Arnou, P.; et al. Solution-Based Synthesis of Kesterite Thin Film Semiconductors. J. Phys. Energy 2020, 2, 012003. [Google Scholar] [CrossRef]
- Yelisetti, S.; Saini, V.K.; Kumar, R.; Lamba, R.; Saxena, A. Optimal Energy Management System for Residential Buildings Considering the Time of Use Price with Swarm Intelligence Algorithms. J. Build. Eng. 2022, 59, 105062. [Google Scholar] [CrossRef]
- Shaikh, P.H.; Nor, N.B.M.; Nallagownden, P.; Elamvazuthi, I.; Ibrahim, T. A Review on Optimized Control Systems for Building Energy and Comfort Management of Smart Sustainable Buildings. Renew. Sustain. Energy Rev. 2014, 34, 409–429. [Google Scholar] [CrossRef]
- Al Naqbi, A.; Alyieliely, S.S.; Talib, M.A.; Nasir, Q.; Bettayeb, M.; Ghenai, C. Energy Reduction in Building Energy Management Systems Using the Internet of Things: Systematic Literature Review. In Proceedings of the 2021 International Symposium on Networks, Computers and Communications (ISNCC), Dubai, United Arab Emirates, 31 October–2 November 2021; pp. 1–7. [Google Scholar] [CrossRef]
- Minoli, D.; Sohraby, K.; Occhiogrosso, B. IoT Considerations, Requirements, and Architectures for Smart Buildings—Energy Optimization and Next-Generation Building Management Systems. IEEE Internet Things J. 2017, 4, 269–283. [Google Scholar] [CrossRef]
- Anvari-Moghaddam, A.; Monsef, H.; Rahimi-Kian, A. Cost-Effective and Comfort-Aware Residential Energy Management under Different Pricing Schemes and Weather Conditions. Energy Build. 2015, 86, 782–793. [Google Scholar] [CrossRef]
- Krarti, M. Energy Audit of Building Systems; CRC Press: Boca Raton, FL, USA, 2020; ISBN 9781003011613. [Google Scholar]
- Guan, J.; Nord, N.; Chen, S. Energy Planning of University Campus Building Complex: Energy Usage and Coincidental Analysis of Individual Buildings with a Case Study. Energy Build. 2016, 124, 99–111. [Google Scholar] [CrossRef]
- Lazarova-Molnar, S.; Shaker, H.R.; Mohamed, N.; Jorgensen, B.N. Fault Detection and Diagnosis for Smart Buildings: State of the Art, Trends and Challenges. In Proceedings of the 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), Muscat, Oman, 15–16 March 2016; pp. 1–7. [Google Scholar] [CrossRef]
- Bhandari, M.; Shrestha, S.; New, J. Evaluation of Weather Datasets for Building Energy Simulation. Energy Build. 2012, 49, 109–118. [Google Scholar] [CrossRef]
- Pantazaras, A.; Lee, S.E.; Santamouris, M.; Yang, J. Predicting the CO2 Levels in Buildings Using Deterministic and Identified Models. Energy Build. 2016, 127, 774–785. [Google Scholar] [CrossRef]
- Ayisha Naziba, T.; Praveen Kumar, D.; Karthikeyan, S.; Sriramajayam, S.; Djanaguiraman, M.; Sundaram, S.; Ghamari, M.; Prasada Rao, R.; Ramakrishna, S.; Ramesh, D. Biomass Derived Biofluorescent Carbon Dots for Energy Applications: Current Progress and Prospects. Chem. Rec. 2024, 24, e202400030. [Google Scholar] [CrossRef] [PubMed]
- Ghamari, M.; Sun, D.; Dai, Y.; See, C.H.; Yu, H.; Edirisinghe, M.; Sundaram, S. Valorization of Diverse Waste-Derived Nanocellulose for Multifaceted Applications: A Review. Int. J. Biol. Macromol. 2024, 280, 136130. [Google Scholar] [CrossRef]
- Zou, H.; Zhou, Y.; Jiang, H.; Chien, S.-C.; Xie, L.; Spanos, C.J. WinLight: A WiFi-Based Occupancy-Driven Lighting Control System for Smart Building. Energy Build. 2018, 158, 924–938. [Google Scholar] [CrossRef]
- Sheikh, A.; Kamuni, V.; Patil, A.; Wagh, S.; Singh, N. Cyber Attack and Fault Identification of HVAC System in Building Management Systems. In Proceedings of the 2019 9th International Conference on Power and Energy Systems (ICPES), Perth, WA, Australia, 10–12 December 2019; pp. 1–6. [Google Scholar] [CrossRef]
- Shahinzadeh, H.; Moradi, J.; Gharehpetian, G.B.; Nafisi, H.; Abedi, M. Internet of Energy (IoE) in Smart Power Systems. In Proceedings of the 2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI), Tehran, Iran, 28 February–1 March 2019; pp. 627–636. [Google Scholar] [CrossRef]
- Doukas, H.; Patlitzianas, K.D.; Iatropoulos, K.; Psarras, J. Intelligent Building Energy Management System Using Rule Sets. Build. Environ. 2007, 42, 3562–3569. [Google Scholar] [CrossRef]
- Alcalá, R.; Casillas, J.; Cordón, O.; González, A.; Herrera, F. A Genetic Rule Weighting and Selection Process for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems. Eng. Appl. Artif. Intell. 2005, 18, 279–296. [Google Scholar] [CrossRef]
- Hannan, M.A.; Faisal, M.; Ker, P.J.; Mun, L.H.; Parvin, K.; Mahlia, T.M.I.; Blaabjerg, F. A Review of Internet of Energy Based Building Energy Management Systems: Issues and Recommendations. IEEE Access 2018, 6, 38997–39014. [Google Scholar] [CrossRef]
- Shalaby, A.B.; Sheikh, N.A.; Ayub, A.; Ahmed, M.; Imran, M.; Shahzad, M.W. Evaluation and Optimization of Supercritical Cycles Using CO2 Based Mixtures as Working Fluids: A Thermodynamic Study. Int. Commun. Heat Mass Transf. 2024, 153, 107370. [Google Scholar] [CrossRef]
- Morosini, E.; Ayub, A.; di Marcoberardino, G.; Invernizzi, C.M.; Iora, P.; Manzolini, G. Adoption of the CO2 + SO2 Mixture as Working Fluid for Transcritical Cycles: A Thermodynamic Assessment with Optimized Equation of State. Energy Convers. Manag. 2022, 255, 115263. [Google Scholar] [CrossRef]
- Marzouk, M.A.; Fischer, L.K.; Salheen, M.A. Factors Affecting the Social Acceptance of Agricultural and Solar Energy Systems: The Case of New Cities in Egypt. Ain Shams Eng. J. 2024, 15, 102741. [Google Scholar] [CrossRef]
- Kosorić, V.; Lau, S.-K.; Tablada, A.; Bieri, M.; Nobre, M.A. Holistic Strategy for Successful Photovoltaic (PV) Implementation into Singapore’s Built Environment. Sustainability 2021, 13, 6452. [Google Scholar] [CrossRef]
- Liu, H.-Y.; Skandalos, N.; Braslina, L.; Kapsalis, V.; Karamanis, D. Integrating Solar Energy and Nature-Based Solutions for Climate-Neutral Urban Environments. Solar 2023, 3, 382–415. [Google Scholar] [CrossRef]
- Zhao, H.; Yang, R.J.; Liu, C.; Sun, C. Solar Building Envelope Potential in Urban Environments: A State-of-the-Art Review of Assessment Methods and Framework. Build. Environ. 2023, 244, 110831. [Google Scholar] [CrossRef]
- Constantinou, S.; Al-naemi, F.; Alrashidi, H.; Mallick, T.; Issa, W. A Review on Technological and Urban Sustainability Perspectives of Advanced Building-integrated Photovoltaics. Energy Sci. Eng. 2024, 12, 1265–1293. [Google Scholar] [CrossRef]
- Ali, D.M.T.E.; Motuzienė, V.; Džiugaitė-Tumėnienė, R. AI-Driven Innovations in Building Energy Management Systems: A Review of Potential Applications and Energy Savings. Energies 2024, 17, 4277. [Google Scholar] [CrossRef]
- Yayla, A.; Świerczewska, K.; Kaya, M.; Karaca, B.; Arayici, Y.; Ayözen, Y.; Tokdemir, O. Artificial Intelligence (AI)-Based Occupant-Centric Heating Ventilation and Air Conditioning (HVAC) Control System for Multi-Zone Commercial Buildings. Sustainability 2022, 14, 16107. [Google Scholar] [CrossRef]
- Yan, B.; Hao, F.; Meng, X. When Artificial Intelligence Meets Building Energy Efficiency, a Review Focusing on Zero Energy Building. Artif. Intell. Rev. 2021, 54, 2193–2220. [Google Scholar] [CrossRef]
- Iqbal, J.; Khan, M.; Talha, M.; Farman, H.; Jan, B.; Muhammad, A.; Khattak, H.A. A Generic Internet of Things Architecture for Controlling Electrical Energy Consumption in Smart Homes. Sustain. Cities Soc. 2018, 43, 443–450. [Google Scholar] [CrossRef]
- Farzaneh, H.; Malehmirchegini, L.; Bejan, A.; Afolabi, T.; Mulumba, A.; Daka, P.P. Artificial Intelligence Evolution in Smart Buildings for Energy Efficiency. Appl. Sci. 2021, 11, 763. [Google Scholar] [CrossRef]
- Reyna, J.L.; Chester, M.V. Energy Efficiency to Reduce Residential Electricity and Natural Gas Use under Climate Change. Nat. Commun. 2017, 8, 14916. [Google Scholar] [CrossRef] [PubMed]
- Gholami, H.; Røstvik, H.N. Economic Analysis of BIPV Systems as a Building Envelope Material for Building Skins in Europe. Energy 2020, 204, 117931. [Google Scholar] [CrossRef]
- Agathokleous, R.A.; Kalogirou, S.A.; Karellas, S. Exergy Analysis of a Naturally Ventilated Building Integrated Photovoltaic/Thermal (BIPV/T) System. Renew. Energy 2018, 128, 541–552. [Google Scholar] [CrossRef]
- Gržanić, M.; Capuder, T.; Zhang, N.; Huang, W. Prosumers as Active Market Participants: A Systematic Review of Evolution of Opportunities, Models and Challenges. Renew. Sustain. Energy Rev. 2022, 154, 111859. [Google Scholar] [CrossRef]
- Hammond, G.P.; Harajli, H.A.; Jones, C.I.; Winnett, A.B. Whole Systems Appraisal of a UK Building Integrated Photovoltaic (BIPV) System: Energy, Environmental, and Economic Evaluations. Energy Policy 2012, 40, 219–230. [Google Scholar] [CrossRef]
- Cucchiella, F.; D’Adamo, I.; Lenny Koh, S.C. Environmental and Economic Analysis of Building Integrated Photovoltaic Systems in Italian Regions. J. Clean. Prod. 2015, 98, 241–252. [Google Scholar] [CrossRef]
- Saber, E.M.; Lee, S.E.; Manthapuri, S.; Yi, W.; Deb, C. PV (Photovoltaics) Performance Evaluation and Simulation-Based Energy Yield Prediction for Tropical Buildings. Energy 2014, 71, 588–595. [Google Scholar] [CrossRef]
- Pallas, G.; Vijver, M.G.; Peijnenburg, W.J.G.M.; Guinée, J. Ex Ante Life Cycle Assessment of GaAs/Si Nanowire–Based Tandem Solar Cells: A Benchmark for Industrialization. Int. J. Life Cycle Assess. 2020, 25, 1767–1782. [Google Scholar] [CrossRef]
- Gholami, H. A Holistic Multi-Criteria Assessment of Solar Energy Utilization on Urban Surfaces. Energies 2024, 17, 5328. [Google Scholar] [CrossRef]
- Zhu, X.; Zhang, X.; Gong, P.; Li, Y. A Review of Distributed Energy System Optimization for Building Decarbonization. J. Build. Eng. 2023, 73, 106735. [Google Scholar] [CrossRef]
- Zeid, N. Challenges of Integrating Renewable Energy in Land Use. Available online: https://hdl.handle.net/11250/3145440 (accessed on 24 November 2024).
- Forrousso, S.; Idrissi Kaitouni, S.; Mana, A.; Wakil, M.; Jamil, A.; Brigui, J.; Azzouzi, H. Optimal Sizing of Off-Grid Microgrid Building-Integrated-Photovoltaic System with Battery for a Net Zero Energy Residential Building in Different Climates of Morocco. Results Eng. 2024, 22, 102288. [Google Scholar] [CrossRef]
- Buonomano, A.; Barone, G.; Forzano, C. Advanced Energy Technologies, Methods, and Policies to Support the Sustainable Development of Energy, Water and Environment Systems. Energy Rep. 2022, 8, 4844–4853. [Google Scholar] [CrossRef]
- Costa, A.; Ng, T.S.; Su, B. Long-Term Solar PV Planning: An Economic-Driven Robust Optimization Approach. Appl. Energy 2023, 335, 120702. [Google Scholar] [CrossRef]
- Hammond, G.P.; Pearson, P.J.G. Challenges of the Transition to a Low Carbon, More Electric Future: From Here to 2050. Energy Policy 2013, 52, 1–9. [Google Scholar] [CrossRef]
- Luo, F.; Ranzi, G.; Dong, Z.Y. Building Energy Management Systems and Techniques Principles, Methods, and Modelling; Elsevier: Amsterdam, The Netherlands, 2024; ISBN 9780323961073. [Google Scholar]
- Bartlett, J. Beyond Subsidy Levels: The Effects of Tax Credit Choice for Solar and Wind Power in the Inflation Reduction Act. Technical Report; Resources for the Future. 2023. Available online: https://www.rff.org/publications/reports/beyond-subsidy-levels-the-effects-of-tax-credit-choice-for-solar-and-wind-power-in-the-inflation-reduction-act/ (accessed on 1 December 2023).
- Fatin, L.; Whiley, A. Climate Bonds Initiative. Available online: https://www.unepfi.org/wordpress/wp-content/uploads/2020/06/Carolina-Barreto-Representante-de-Climate-Bonds-Initiative-CBI.pdf (accessed on 27 November 2024).
- Bertoldi, P.; Boza-Kiss, B. Analysis of Barriers and Drivers for the Development of the ESCO Markets in Europe. Energy Policy 2017, 107, 345–355. [Google Scholar] [CrossRef]
Standard | Focus Area | Key Findings | Place of Validity | Relevance to BIPV |
---|---|---|---|---|
EN 50583-1/2:2016 [45] | BIPV modules and systems | Specifies requirements for electrical safety, mechanical strength, weather resistance, and durability. | European Union | Ensures that modules meet both energy generation and structural safety. Facilitates effective installation and compliance with energy regulations. |
IEC 63092-1/2:2020 [46] | BIPV modules and systems | Focuses on mechanical resistance, thermal performance, and fire safety, acknowledging the dual role of BIPV. | International | Provides a global standard for BIPV module requirements. Critical for ensuring compatibility with building electrical systems. |
ISO/TS 18178:2018 [49] | Photovoltaic glass | Outlines specifications for laminated solar photovoltaic glass, ensuring durability and aesthetic appeal. | International | Essential for BIPV applications using glass components. |
IEC 61730-1/2:2016 [58] | Safety | Establishes safety and defines testing requirements for the construction of photovoltaic modules, focusing on electrical insulation and risk mitigation. | International | Ensures BIPV modules are safe for use in various building applications. Supports BIPV modules in passing essential safety tests. |
BS/EN 61215:2016 [59] | Design qualification | Details testing procedures to confirm the durability and performance of terrestrial photovoltaic modules. | European Union | Provides a benchmark for performance evaluation of BIPV modules. |
IEC 61215:2021 [60] | Design qualification | Updates performance criteria for photovoltaic modules, including mechanical load tests and thermal cycling assessments. | International | Ensures BIPV modules are resilient and reliable over their lifespan. |
Key Findings | Category | Source |
---|---|---|
Standby power usage: 30 W (China) to 100 W (USA), 3–12% of household electricity use. | Residential energy consumption | [82] |
IT devices increased from 606 (1980) to 88,068 (2019), but overall electrical demand decreased to 23% of 1979 levels. | [75] | |
Lighting: Accounted for 18% of household electrical use in 2009, but this consumption has been declining due to the adoption of energy-efficient LED technology. Heating: This represents the largest portion of household energy consumption, at 61.70%. Hot Water: Constitutes 17.60% of overall household energy use. | [76] | |
Energy consumption increases by ~2.40% per story in high-rise buildings. There is a 31% increase in emissions between low- and high-rise buildings. | Commercial building energy use | [83] |
A total of 77% of surveyed London buildings consumed > 45 kWh/m2 for HVAC. | [84] | |
MPC has the potential to decrease energy consumption by 15–50%. | [21] |
Strategy | Description | Source |
---|---|---|
Passive cooling system | Passive cooling systems, such as using PCM, utilize latent heat absorption and release during phase transitions for energy-efficient cooling, enhancing solar control, ventilation, radiative cooling, and more, with PCM walls delaying heat transfer, PCM windows reducing heat transfer by 66%, and PCM with natural ventilation saving up to 90% energy in hot climates | [96] |
Conservation | Eliminating waste through rational use and economy, such as using low-energy lighting and ensuring proper insulation. | [97] |
Energy recovery systems | Systems like waste heat recovery allow byproducts to be used as inputs for other energy sources. | [98] |
Fuel substitution | Substituting harmful fuels with more environmentally friendly options can help decrease carbon emissions and promote the adoption of EMS. | [19] |
Smart building | IoT-based platforms that improve understanding and control of energy usage patterns. | [99] |
MPC | Implementing MPC for buildings can lower energy consumption and alleviate GHG emissions. | [100] |
Demand response | Modifying a building’s energy usage in response to current pricing data. | [101] |
Thermal energy storage | Chilling coolant overnight to reduce daytime cooling loads, thus reducing energy use and costs. | [102] |
Variable speed control | Implementing variable frequency inverters for HVAC motors to optimize energy consumption. | [103] |
Window Type/Configuration | U-Value (W/m2·K) | Source |
---|---|---|
Floor | 0.25 | [39] |
Roof | 0.16 | |
External wall | 0.30 | |
Windows | 2.00 | |
Uncoated single glass 6 mm | 5.80 | [121] |
Uncoated double glass 12 mm cavity | 2.80 | [122] |
Uncoated double glass 15 mm air cavity | 1.40 | |
Uncoated double glass 15 mm argon cavity | 1.20 | |
Uncoated triple glass 16 mm with argon | 0.79 | |
Uncoated double glass 22 mm monolithic aerogel | 0.65 | |
Uncoated double glass 33 mm granular aerogel | 0.44 |
Characteristics | a-Si | CdTe | CIGS |
---|---|---|---|
Thickness | ~1 μm | 3–7 μm | 2–2.5 μm |
Bandgap | 1.7 eV | 1.45 eV | 1.1–1.2 eV |
Efficiency (%) | ~12 | ~10.70 | ~13.40 |
Area (cm2) | 100 | 4874 | 3459 |
Voc (V) | 12.5 | 26.21 | 31.2 |
Isc (A) | 1.3 | 3.205 | 2.16 |
Fill factor (%) | 73.5 | 62.3 | 68.9 |
Main Advantages | Low toxicity, Flexible | High absorption, Low cost | High efficiency, Radiation resistant |
Main Disadvantages | Low efficiency | Toxicity concerns | Relatively expensive |
Category | Key Findings | Scope | Source |
---|---|---|---|
Role of BEMS | BEMS are essential for managing and controlling energy in buildings, supporting the transition to net-zero buildings. | Controls lighting, HVAC, security systems, and more. Also applicable for multi-building sites or complex structures. | [166] |
Technological integration | BEMS integrate IoT and Internet of Energy (IoE), especially for smaller and residential buildings. | Advances in technology simplify BEMS and expand their application. | [152,153] |
Energy management categories | Energy conservation, recovery, and substitution methods are used to optimize building energy use. | Strategies reduce energy consumption and costs through elimination of waste, energy reuse, and switching to sustainable sources. | [154] |
Influences on BEMS | External factors like weather, demand charges, and occupancy patterns affect BEMS efficiency. Real-time and historical data are critical. | Requires comprehensive data to adjust connected power sources and maintain optimal conditions. | [155] |
Challenges | Main challenges include cybersecurity, hardware/software compatibility, and limited training in advanced control methods among engineers. | These challenges hinder the widespread adoption of advanced methods like MPC in BEMS. | [21] |
Maintenance and operation | BEMS should be regularly tested and audited for performance, especially wireless systems due to potential cyber risks. | Proper maintenance ensures optimal performance and security of the system. | [161,162,163] |
Numerical controls | Fuzzy logic enables efficient control adjustments rather than strict binary on/off operations, enhancing system performance. | Uses AI to dynamically manage processes based on input variability. | [165] |
Specific control methods | Predictive controls (MPC) and CO2-based ventilation adjustments are used for enhanced energy efficiency. | Target specific factors like occupant comfort and optimal energy use. | [158] |
Enhancing energy efficiency | The CO2-R152a mixture demonstrates an average increase of 12 kJ/kg in cycle-specific work compared to the supercritical CO2 power cycle in the recompression cycle configuration, and an average increase of 13 kJ/kg in the simple recuperated cycle configuration. | Evaluates the thermodynamic performance of CO2-R152a and CO2-based mixtures in power cycles, enhancing energy efficiency and sustainability. | [167] |
Efficiency, cost reduction. | The dual recuperated layout with the CO2 + SO2 mixture shows an electric efficiency of 39.58% (0.69% higher than the sCO2 cycle), a decrease in power block CAPEX from 795 $/kWel to 718 $/kWel, and an additional 70 °C of heat recovery from the hot source | Comparative analyses are conducted between transcritical CO2 + SO2 and conventional sCO2 cycles across various plant layouts, focusing on maximizing electric efficiency and cycle-specific work. | [168] |
Social acceptance and policy Integration in BIPV | BEMS optimize energy use in buildings, reducing consumption and integrating renewable energy. Social acceptance is driven by ease of implementation, social influence, and trust, rather than cost or energy savings. Sociocultural factors, like education and income, significantly affect adoption. | Focuses on residential and commercial buildings, particularly in urbanizing areas like Egypt, highlighting the need for policy support to enhance adoption. | [169] |
Component | From Total Cost |
---|---|
Photovoltaic modules | 40–50% |
Inverters | 10–15% |
Balance of System (BoS) components | 15–25% |
Installation and labor | 15–30% |
Aspect | a-Si | CdTe | CIGS |
---|---|---|---|
Efficiency | Up to 12% (commercial). | Up to 22.10% (laboratory). | Up to 23.35% (laboratory). |
Flexibility | Yes, suitable for curved surfaces. | Limited flexibility. | Moderate flexibility. |
Substrate compatibility | Glass, metal, plastic. | Glass, flexible substrates. | Glass, metal, flexible substrates. |
Low-light performance | Superior. | Moderate. | Moderate. |
Aesthetic appeal | Semi-transparent, flexible. | Limited aesthetic options. | Semi-transparent, flexible. |
Cost advantage | Lower material costs. | Lower material costs. | Moderate material costs. |
Environmental concerns | Reduced degradation, Staebler-Wronski effect.t | Potential toxicity of cadmium. | Concerns over gallium availability. |
Applications | BIPV, flexible applications. | Large-scale installations. | BIPV, flexible applications. |
Current challenges | Efficiency, stability issues. | Environmental concerns, efficiency. | Efficiency, material availability. |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Smith, A.R.; Ghamari, M.; Velusamy, S.; Sundaram, S. Thin-Film Technologies for Sustainable Building-Integrated Photovoltaics. Energies 2024, 17, 6363. https://doi.org/10.3390/en17246363
Smith AR, Ghamari M, Velusamy S, Sundaram S. Thin-Film Technologies for Sustainable Building-Integrated Photovoltaics. Energies. 2024; 17(24):6363. https://doi.org/10.3390/en17246363
Chicago/Turabian StyleSmith, Andrew R., Mehrdad Ghamari, Sasireka Velusamy, and Senthilarasu Sundaram. 2024. "Thin-Film Technologies for Sustainable Building-Integrated Photovoltaics" Energies 17, no. 24: 6363. https://doi.org/10.3390/en17246363
APA StyleSmith, A. R., Ghamari, M., Velusamy, S., & Sundaram, S. (2024). Thin-Film Technologies for Sustainable Building-Integrated Photovoltaics. Energies, 17(24), 6363. https://doi.org/10.3390/en17246363