The Prosumer: A Systematic Review of the New Paradigm in Energy and Sustainable Development
Abstract
:1. Introduction
2. Materials and Methods
3. Results
3.1. Data Collection
3.2. Clustering
3.3. Evolution
3.4. Approach to the Importance of the Prosumer in Energy
3.4.1. Smart Grids
3.4.2. Microgrids
3.4.3. Peer to Peer
3.4.4. Prosumer
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
References | # Citations | Application | Techniques | Results | Data | Revised |
---|---|---|---|---|---|---|
Cardenas et al., 2014 [9]. | 60 | Smart grid distribution | Literature survey | Strategies are mostly driven by the USA. Consumer/prosumer participation is going to play a key role and requires developing a new business model, including self-generation and selling back surplus energy. | ESH | |
Zafar et al., 2018 [10]. | 246 | Investigation and review of the prosumer-based energy management and sharing enabled by smart grids. | Theoretical conceptualization through a review of the literature and state of the art. | There is an enormous potential for cost savings, energy conservation, and peak load balancing. | ESH | |
Uribe-Pérez et al., 2016 [13]. | 109 | Description, technologies, and standards in smart metering. | Review of the main trends in the uses and deployments of smart metering worldwide. | Overview of the main smart metering applications and their development. | Types, characteristics, and deployment of smart metering, | ESH |
Kubli et al., 2018 [54]. | 99 | To investigate prosumers’ willingness to co-create flexibility | Choice experiments with 2 changes. Choice-based conjoint analysis. | It is confirmed that there is actually a positive willingness to co-create flexibility. | 902 actual and potential flexible prosumers across three domains of energy use | JPD, ESH |
Tuballa and Abundo, 2016 [63]. | 453 | Smart grid | Review | Concrete energy policies facilitate smart grid initiatives across the nations in an unbordered community of similar aspirations and shared lessons | 248 sources from Science Direct database. | ESH |
Lampropoulos et al., 2010 [66]. | 81 | Methodology for modelling the behaviour of electricity prosumers. | A framework for modelling the behaviour of small-size electricity prosumers. | To assess the grid impact of electric vehicles charging in Dutch residential areas. | AO | |
Brusco et al., 2014 [67]. | 82 | Demand response | Several prosumers are aggregated in a coalition, the energy district, and are coordinated through a central control entity, the coalition coordinator. | The coalition coordinator maximizes the coalition utility and reduces the reverse energy flows at the point of delivery. | Prosumers aggregated in an energy district. | ESH |
Pop et al., 2018 [68]. | 366 | Decentralized management of demand response programmes in smart energy grids. | Blockchain through ledger and smart contracts. | The grid can make timely adjustments to energy demand in near real time by enacting the expected levels of energy flexibility and validating all DR agreements. | Energy consumption and production profiles randomly selected from UK building datasets. | JPD, ESH, AO |
Faraji et al., 2020 [69]. | 33 | Energy management systems for prosumer microgrids. | Hybrid machine learning method to predict the load and weather data. | The performance of the forecasting process is improved over conventional processes. | Meteorological data based on one-year data from Kerman province, Iran. | ESH |
Karnouskos et al., 2011 [70]. | 66 | Demand-side management via prosumer interactions in a smart city energy marketplace | Analysis of indicative interactions between market stakeholders. | NOBEL approach to support energy trading and management in the neighbourhood. | AO | |
Pasetti et al., 2018 [71]. | 93 | Virtual power plant | Conceptual study. Controller based on MILP optimization. | A VPP architecture is proposed that is limited to the physical domain of individual users. | AO | |
Salpakari and Lund, 2016 [72]. | 138 | Cost-optimal and rule-based control for buildings with PV and flexible loads. | Annual optimal control on sequential 24-h horizons is studied, along with rule-based control. | The most effective flexibility measure turned out to be thermal storage with a heat pump and a battery. | Case study with empirical data from a real low-energy house in Southern Finland. 10-min meteorological data. | ESH |
Olivella-Rosell et al., 2018 [73]. | 125 | Local flexibility markets. | Simulation of case study. The aggregator acts as a local market operator and supervises flexibility transactions of the local energy community. | Local market framework could postpone grid upgrades, reduce energy costs, and increase distribution grids’ hosting capacity. | AO | |
Ottesen et al., 2016 [74]. | 114 | Minimizing the total cost by trading in a spot electricity market, considering the costs of grid tariffs, the use of certain fuels, and any penalties for imbalance. | Scenario trees for the treatment of uncertain parameters | It is found that securities are sensitive to the imbalance penalty | Fredrikstad Energi Nett and Norske Skog Saugbrugs datasets. | AO |
Jing et al., 2020 [75]. | 75 | Enabling P2P energy trading (heat and power) among prosumers (residential and commercial) through fair price strategy. | Nash-type game theory, McCormick relaxation, and piecewise linearization. | 4.9% cost savings over stand-alone prosumers. | Case study in Shangai. | AO |
Bliek et al., 2010 [76]. | 70 | A generic design has been developed that allows for seamless coordination of hybrid heat pumps, µ-CHPs, electric cars, and smart appliances, such as freezers, washing machines, etc., in a single ICT solution. | Tests have been conducted to validate whether the comfort level of the end-users can be maintained. | Technologies have been applied to demonstrate the full concept of a smart grid. | Case study. | AO |
Leiva et al., 2016 [40]. | 62 | Smart metering infrastructures (SMIs) | Review of policies about smart metering infrastructure implantation in Spain, Europe, and around the world. | SMI implementation has significant shortcomings that need to be addressed through the appropriate development of regulations | Detailed study of the implementation of SMI in Spain | ESH |
Hou et al., 2019 [77]. | 56 | Smart home energy management optimization method considering energy storage and electric vehicle | Mixed integer linear programming (MILP) with CPLEX solver. | The energy schedule of the smart home can be derived to guarantee both the lowest cost and the comfort of the users | Datasets of 24 h with time granularity of 15 min. | AO |
Karnouskos et al., 2012 [78]. | 47 | A platform providing several Internet-accessible services to allow stakeholders to interact in a market-based way. | IEM services have been implemented as Java REST services with encrypted channel, i.e., HTTPS and a security framework. | It is proposed to move away from traditional heavyweight monolithic applications toward a more dynamic mash-up application development | Information coming from highly distributed smart metering points. | AO |
Mansoor et al., 2022 [79]. | 12 | Examines the moderating role of ICT adoption norms to assess the differences in energy efficiency behaviours among consumers/prosumers. | Motivation theory. | significant and positive direct and indirect impacts of the green intrinsic and green thinking GIM and GT on energy efficiency behaviour. | Two independent surveys on consumers/prosumers | AO |
Siano et al., 2019 [80]. | 27 | Distributed ledger technology in local energy markets. | Decentralized approach based on transactive energy systems and peer-to-peer energy transaction | A crucial point is the selection of a proper consensus protocol. | ESH |
References | # Citations | Application | Techniques | Results | Data | Revised |
---|---|---|---|---|---|---|
Zia et al., 2020 [12]. | 140 | Transactive energy. | Review. Case study comparison. | Reviews existing architectures and ledger technologies. Presents and analyses the local energy market concept. | AO | |
Yamashita et al., 2020 [14]. | 58 | Building microgrids. | Review. | Some insights for forthcoming building prosumers are outlined, identifying certain barriers. | Literature review. | AO |
Gomes et al., 2022 [15]. | 8 | Techniques used in home energy management systems. | Review. | Four broad categories: traditional techniques, model predictive control, heuristics and metaheuristics, and other techniques. | Systematic review for 2018-2021 | ESH |
Ma et al., 2016 [82]. | 197 | Energy management of microgrids (MGs) consisting of combined heat and power (CHP) and photovoltaic (PV) prosumers | Stackelberg game; microgrid operator (MGO). | Dynamic pricing and energy management optimization model for the joint operation of CHP and prosumers. | AO | |
Velik et al., 2014 [83]. | 74 | To find cost-optimal microgrid operation strategies for energy trading with the grid and neighbouring microgrids. | Multi-objective optimization method. Simulation with Visual C studio. | The simulated annealing approach presented striking advantages in terms of computing time in relation to the total state space search approach. | Simple renewable energy data generator was used with 1-h resolution. | ESH |
Liu et al., 2017 [84]. | 231 | Energy sharing management inside the microgrid with PV prosumers. | Stackelberg game; introduction of microgrid operator (MGO); dynamical prices model | An hour-ahead optimal pricing model based on Stackelberg game is proposed, where the MGO acts as the leader, and all participating prosumers are considered the followers | Collected data from realistic PV-roofed buildings. | ESH |
Liu et al., 2018 [85]. | 171 | Energy sharing among neighbouring PV prosumers. | Battery storage; hybrid approach using stochastic programming and Stackelberg game. | An energy sharing provider using storage can obtain profit during energy sharing, and the PV prosumers can achieve effective cost savings compared with trading with the utility. | Six neighbouring industrial prosumers in a demonstrated PV microgrid project, Foshan, Guangdong Province, China. | ESH |
Lüth et al., 2018 [86]. | 205 | Electricity storage in the presence of P2P in local electricity markets with smart grids | Battery storage; peer-to-peer trade; linear optimization. | Electricity bill reduction of up to 31%. | Datasets from London that cover the year 2012 in a time resolution of 30 min. | ESH |
Tomin et al., 2022 [87]. | 12 | Unified approach for building and optimally managing community microgrids with an internal markets. | Monte-Carlo tree search algorithm on the bilevel problem. | LCOE reductions from 20% to 40% for a real microgrid. | Real test case of the microgrid community for the settlements located in the Transbaikal National Park (Russia). | ESH |
Nizami et al., 2020 [88]. | 38 | Building an energy management system with optimization-based scheduling and a bidding strategy for residential prosumers. | Stochastic bi-level minimization problem solved by MILP using commercial software. | Savings of up to 51% and 22% compared with inflexible and deterministic methods, respectively. | Case studies for a residential prosumer in Sidney. | AO |
Hu et al., 2021 [89]. | 26 | Coordinated energy management of prosumers considering network congestion. | Iterative distribution locational marginal prices (iDLMPs) to optimally schedule prosumer resources. | The proposed method can alleviate congestion in the distribution grid, respecting economic interests and private information. | Case studies on a benchmark IEEE 33 bus. | ESH |
Pillai et al., 2014 [90]. | 67 | Comparative assessment of the near-term economic benefits of grid-connected residential PV systems. | Techno-economic methodology using prosumer electricity unit cost. | Need for system cost reductions for countries with lower solar resources. Importance of location-specific system planning and load-generation matching. | Case studies from the UK and India. | AO |
McKenna et al., 2018 [91]. | 56 | Estimating self-consumption and predicting the resulting electricity bill savings. | Simple regression analysis. | An average UK household can reduce by 24% the average annual electricity demand from the grid. | One-minute electricity monitoring data for 302 households in UK. | ESH |
Camilo et al., 2017 [92]. | 92 | Investigating, from an economic point-of-view, the profitability and feasibility of residential PV systems in several contexts. | Techno-economic study. | Self-consumption is already attractive, but storage is not profitable because battery investment is still too high | Typical 15-min annual profiles of consumption and micro generation, made accessible by the Energy Services National Regulatory Authority of Portugal. | ESH |
Schopfer et al., 2018 [93]. | 99 | Profitability of PV plus battery storage. | Techno-economic study using machine-learning. | High variability in the profitability and the optimal system configuration. Further storage price decrease is needed toward 250–500 €/kWh. | Smart-meter data from 4190 households in Ireland. | ESH |
Barzegkar et al., 2020 [94]. | 31 | Profitability of PV plus battery storage under a pure self-consumption scheme. | Levelized cost of use indicator is introduced. | Self-consumption rate should be considered for evaluating PV. In most cases PV plus storage is not profitable. | Typical generation and consumption profiles for six European countries. | AO |
Quoilin et al., 2016 [95]. | 141 | Evaluation of the self-consumption level that can be expected for a household installing a PV system with or without a battery. | Simulating self-consumption in various EU countries for various household profiles, with or without battery. | Achieving 100% self-consumption is not realistic for the studied countries without excessively oversizing the PV system and/or the battery | A database of profiles from monitoring data and a number of additional stochastic-generated profiles. | AO |
Gómez-Gonzalez et al., 2020 [96]. | 52 | Methodology for jointly optimizing the sizing and power management of PV household-prosumers | Techno-economic assessment to calculate the total costs and revenue using the teaching–learning-based optimization (TLBO) algorithm. | A battery is a cost-effective way of enhancing PV self-consumption by decreasing the levelized cost of electricity (LCOE). | Two 30-min PV power profiles measured in households at different locations in Jaen (southern Spain). | AO |
Tostado-Véliz et al., 2021 [97]. | 38 | Optimal sizing of PV plus storage system form home energy management, considering grid outages and demand response. | Clustering techniques for reducing data to the most characteristic profiles. | A case study has provided guidelines for its universal applicability, with two scenarios with and without grid failures. | Characteristic outages, along with demand, irradiance, and temperature profiles from real data. | AO |
Hernández et al., 2020 [98]. | 35 | Methodology to assess the techno-economic performance of PV home prosumers with self-consumption enhancement and frequency containment reserves. | Three charge-level strategies simulated in a 1-ms step. | Frequency containment reserve increases profitability by 14%. The best indicators are found to broaden the storage band (30–90%). | 0.5-s PV power profile measured with a smart meter in a household in Jaén (Spain). | AO |
Muqeet et al., 2020 [99]. | 31 | Proposes an energy management system (EMS) strategy for an institutional microgrid (µG) to reduce its operational cost and increase its self-consumption | PV modules and diesel generator and storage. Linear problem solved in MILP and simulated in MATLAB. | Grid electricity costs reduction of around 30%. Significant economic and environmental benefits. | Load patterns for typical summer and winter days in Pakistan. | ESH |
Huang et al., 2019 [100]. | 52 | Case study of rehabilitation of a residential cluster in Sweden with PV production and sharing and heat pump thermal generation and storage. | A fitness function based on a genetic algorithm is established to optimize the capacity and positions of PV modules at the cluster level, with the purpose of maximizing self-consumed electricity; simulations in TRNSYS. | The research results reveal how electric vehicle penetration, thermal storage, and energy sharing affect PV system sizing/positions and the performance indicators and thus help to promote PV deployment. | 3D model for building geometry and irradiation matrix. Hourly weather data. Fixed prices for electricity taken and returned to the grid. | ESH |
Wirtz et al., 2020 [101]. | 69 | Bidirectional low temperature heat networks in energy hubs. | Techno economic performance evaluation. Linear programming. | Cost reduction of 42% with 56% less CO2 emissions compared with individual HVAC. | Heating and cooling data recorded at sub-hourly resolution for 17 buildings and clustered for 50 design days. | ESH |
Keiner et al., 2019 [102]. | 61 | To find the cost optimal mix of the various complementary technologies, such as batteries, electric vehicles, heat pumps, and thermal heat storage, for PV prosumers across the world by exploring 4 different scenarios. | MATLAB | In addition, the research presents the threshold for economical maximum battery capacity per installed PV capacity, along with self-consumption ratios, demand cover ratios, and heat cover ratios for 145 different regions across the world. | Household data from UN database. PV profiles from MENDELEY CITATION PLACEHOLDER 0 Bogdanov and Breyer 2016. Load profiles from MENDELEY CITATION PLACEHOLDER 1 Werner et al. 2012 | ESH |
Brange et al., 2016 [103]. | 120 | Evaluation of the potential for district heating contribution from small scale prosumers based on excess heat and their environmental impact in an area with diverse building types. | Environmental calculations were performed by simulations in the commercial simulation program NetSim. | The potential for excess heat prosumers is fairly large, in Hyllie around 50–120% of the annual heat demand. Most of the excess heat, however, is produced during the summer months. | Data from property developers and some measured data. | ESH |
Li et al., 2022 [104]. | 12 | Storage of prosumers’ excess heat in district heating. | Dynamic optimization problem. | Annual costs savings of 9% and investment recovery in less than 10 years. | Full-year measurements from a district heating campus in Norway. | ESH |
Brand et al., 2014 [105]. | 101 | Heat prosumers in district heating in Malmö, Sweden. | Simulations in NetSim software (https://www.vitec-energy.com/netsim-grid-simulation/, accesed on 14 May 2023). | Increased fatigue in the pipes due to the reverse flow. | Flow rates, temperatures, pressure maintenance, heat power in solar collectors and heat pumps, supply temperatures, return temperatures, and customer heating demand for 2012. | |
Sommer et al., 2020 [106]. | 42 | New topology for simultaneous heating and cooling: the reservoir network. | Modelica simulations. | The reservoir network in a ring layout and single-pipe configuration is more economical. | Hourly profiles based on the Swiss archetypes. | ESH |
References | # Citations | Application | Techniques | Results | Data | Revised |
---|---|---|---|---|---|---|
Soto et al., 2021 [19]. | 73 | Peer to peer energy trading. | Review | Papers are grouped into six topics: (1) trading platforms; (2) blockchain; (3) game theory; (4) simulations; (5) optimization; and (6) algorithms. | ESH | |
Tushar et al., 2018 [20]. | 103 | Cooperation among prosumers in peer-to-peer trading. | Canonical coalition game framework. | The coalition is stable among prosumers. | 5 residential PV systems. 15-min data recorded in Dec. 2013. Fixed electricity prices. | JPD |
Andoni et al., 2019 [21]. | 934 | Blockchain activities in the energy sector. | Systematic review. | Blockchain systems offer novel solutions to empower consumers and small renewable energy generators to play a more active role in the energy market and monetize their assets. | Review of 140 research projects and blockchain start-ups. | JPD, ESH, AO |
Thukral, 2021 [22]. | 20 | P2P energy market implementation. | Review and case study. | Comprehensive description of blockchain technology. | ESH | |
Siano et al., 2019 [80]. | 175 | Transactional energy systems and P2P. | Computational model validated by experiments. | A novel blockchain architecture that uses less than 0.0001% of Bitcoin energy is proposed. | JPD | |
Ahl et al., 2020 [107]. | 64 | Analysis of challenges with blockchain in energy. | Theoretical study. | Identifies challenges and opportunities in five dimensions. | JPD | |
Ali et al., 2021 [108]. | 26 | Self-adaptative prosumer grouping. | Python, Ethereum blockchain, solidity. | Blockchain-assisted adaptative model for scalability and decentralization of prosumer grouping. | Hourly energy consumption dataset from renewable energy sources in Spain randomly distributed among 300 participants. | JPD, ESH. |
Hwang et al. 2017 [109]. | 79 | New energy prosumer service model applying blockchain technology. | Experimental case studies leading to an architecture of the proposed model | A transaction-based model that can collect, use, and process data more efficiently. | JPD | |
Park et al., 2018 [110]. | 76 | Energy transaction ecosystem between prosumers and consumers of smart homes. | Simulation inside a smart home that has installed a PV and an ESS using the suggested blockchain-based P2P energy transaction platform. | The suggested P2P platform is more economical while guaranteeing high-quality energy. | Simulation of smart home for July and September 2016. | JPD |
Van Leeuwen et al., 2020 [111]. | 119 | Bilateral blockchain platform for microgrid communities. | Bilateral mechanism involving a blockchain-based energy management platform that optimizes a micro-grid’s energy flows. | A decrease in the import costs of the whole community, with energy imports reduced by 15% | Real data from a prosumer community in Amsterdam. | JPD |
Malik et al., 2022 [113]. | 10 | Cooperative game trading algorithm. | Cooperative game in Nash equilibrium. 100 players, 50/50 community storage, and 15 charging points. | Prosumers have high revenue, and consumers save on electricity bills when using the proposed algorithm. | 24-h dataset, fixed electricity rates. | JPD |
Zia et al., 2020 [12]. | 140 | Microgrid transactive energy. | Review of existing architectures. | Proposes a seven-layer architecture. Presents the local energy market concept. | JPD | |
Cui et al., 2020 [115]. | 33 | P2P energy sharing framework for numerous community prosumers. | MATLAB | Two-phase model to derive the optimal energy-savings profiles and energy-sharing prices. | PV profiles of typical day in August in Wuhan, China. | JPD |
Morstyn et al., 2018 [116]. | 374 | Federated power plants. | Theoretical work. | The concept of a federated power plant is proposed as a virtual power plant formed through P2P transactions between self-organized prosumers. | JPD | |
Hayes et al., 2020 [117]. | 76 | Local energy trading | Methodology for the co-simulation of power distribution networks and a local peer-to-peer energy trading platform using OpenDSS. | A moderate level of peer-to-peer trading does not have sig- Voltage Test Feeder. | ESH | |
Luo et al., 2019 [118]. | 157 | Distributed energy trading system. | Java. | Proposes a two-layer distributed electricity trading system to facilitate peer-to-peer electricity sharing among prosumers. | Load curves from the Australian “Smart Grid, Smart City” dataset. One-day meteorological data. Fixed retail prices. | ESH |
Anoh et al., 2020 [119]. | 129 | Clustering virtual microgrids (VMGs) using relevant telecommunication systems. | Stackelberg game; MATLAB. | P2P energy prosumers make 47% more profit. | MATLAB-generated data sets as uniformly distributed random variables. | JPD |
Tushar et al., 2020 [120]. | 105 | P2P scheme for reducing total electricity demand at peak hours. | Cooperative Stackelberg game. | There is a unique and stable Stackelberg equilibrium. | Residential network with 12 prosumers; datasets from an Australian company; fixed retail prices. | JPD |
Zhou et al., 2018 [121]. | 224 | Application in the evaluation of the existing proposed P2P energy sharing mechanisms, i.e., supply and demand ratio (SDR), average market tariff (MMR), and bill sharing (BS). | Simulation. | In terms of overall performance, the SDR mechanism outperforms the other mechanisms. The MMR mechanism performs well with moderate levels of photovoltaic penetration. | Cardiff University data catalogue at “http://doi.org/10.17035/d.2018.0046405003 (accessed on 26 June 2023)”. | JPD |
Morstyn et al., 2019 [123]. | 96 | Decentralized market design that allows a DSO to obtain flexibility from competing aggregators. | Simulation cases using the IEEE European Low Voltage Test Feeder. | Through the market, the distribution system operator, aggregators, and prosumers reach agreement on a stable outcome. | Smart meter data from the UK Customer-Led Network Revo- lution project. NREL data for electric vehicle charging. | ESH |
Chen et al., 2019 [124]. | 88 | The optimal functioning and profit maximization of price creation by prosumers in the electricity market, acting as price creators. | Market prediction model based on an extreme learning machine (ELM) and a novel prediction-integration strategy optimization (PISO) model. | The proposed methods successfully realize high market transaction rates and improve the prosumer profits in different market situations. | 15-min data from 374 participants for 3 weeks in 2016. | JPD |
Davatgaran et al., 2018 [125]. | 88 | Profit maximization in the energy hub. Participation in the day-ahead market is allowed by submitting bids to maximize profits. | Use of energy input and output vectors that make the energy concentrator unique. MILP. | The model takes advantage of the multiple input vector of the energy hub to present the optimal bids, including the sale/purchase of electricity and cost optimization. | Forecasted data are electrical and thermal loads, wind generation, and day-ahead and real-time market prices. | JPD |
Morstyn et al., 2019 [126]. | 218 | The new concept of energy classes is introduced, allowing energy to be treated as a heterogeneous product, based on attributes of its source. | Distributed price- directed optimization mechanism using ADMM. | The operation of the proposed P2P energy market platform is verified for the IEEE European Low Voltage Test Feeder, with 55 subscribed prosumers. | One minute resolution load data from the IEEE European Low Voltage Test Feeder | ESH |
Qiu et al., 2021 [127]. | 24 | The incorporation of prosumers’ heterogeneous characteristics into the P2P trading problem. | Multi-agent deep reinforcement learning (MADRL). | The proposed MADRL method exhibits a strong generalization capability in the test data-set and outperforms the state-of-the-art MADRL methods | Real-world dataset involving 300 residential households | JPD |
Tushar et al., 2019 [128]. | 168 | Direct application of behavioural sciences in the study of prosumer activation to act as a prosumer. | Literature review of peer-to-peer energy trading. A motivational framework is introduced and validated thorough numerical experiments. | The proposed framework is capable of reducing both the CO2 emissions and the price of electricity. | Actual publicly available data on solar generation and the energy demand of residential consumers. | JPD |
Paudel et al., 2019 [129]. | 311 | Application of P2P in a small community micro-grid with photovoltaic and energy storage systems. | Simulation using mainly Stackelberg games and their application for buyers and sellers. | P2P energy trading provides significant financial and technical benefits to the community, emerging as an alternative to high-cost energy storage systems. | Actual data from a demonstration project of the China Southern Grid. Fixed electricity prices. | JPD |
Hahnel et al., 2020 [130]. | 76 | Investigation of customer preferences related to P2P energy trading. | Analysis of homeowners’ trading decisions in simulated P2P electricity trading scenarios. | Four target groups of consumers are identified: from price-focused to non-trading. | A sample of 301 German homeowners. | JPD |
Mehdinejad et al., 2022 [112]. | 12 | Decentralized P2P energy trading between retailers and prosumers. | Numerical simulation of several case studies. | Retailers increase their revenue by participating in local and wholesale markets. Conversely, the local players maximize their welfare through energy trading with each other and with the retailers. | ESH | |
Jamil et al., 2021 [122]. | 63 | Predictive energy trading platform to provide real-time support, day-ahead controlling, and generation scheduling of distributed energy resources. | Blockchain, machine learning. | The proposed model is effectively used for energy crowdsourcing between the prosumer and consumer to attain service quality. | Real energy consumption data for the Re-public of Korea. | ESH |
Wu et al., 2021 [27]. | 46 | Transactive energy Internet. | Systematic overview. | AO |
References | # Citations | Application | Techniques | Results | Data | Revised |
---|---|---|---|---|---|---|
Di Silvestre et al., 2021 [28]. | 22 | Renewable energy communities (RECs). | Review of the legal framework. | Identification of aspects that need to be addressed for a complete implementation of REC and their integration with the power system. | ESH | |
Bauwens et al., 2022 [29]. | 15 | Energy communities. | Systematic review of 183 definitions of communities in energy systems coded across three dimensions: meanings, activities, and objectives of communities. | Weakening of scholars’ attention to “transformative” notions of community, emphasizing collective and grassroots processes of participation in energy transitions for the benefit of “instrumental” notions. | 405 articles | ESH |
de Sâo José et al., 2021 [31]. | 32 | Smart energy community | Systematic Review. PRISMA. | Need to analyse synergistic improvement in multi-purpose energy communities and to research energy islands as smart communities. | 2306 records identified through database searching. 103 references in the final sample. | ESH |
Ceglia et al., 2022 [32]. | 14 | Smart energy community | Systematic Review. PRISMA. | 111 scientific references. | ESH | |
Gržanić et al., 2022 [34]. | 14 | Prosumers as active market participants. Demand response. | Systematic review. Analysis of the response to dynamic prices and aggregation, i.e., communities or microgrids. | Easy to understand models and results for several reviewed cases. | ESH | |
Zhou et al., 2016 [131]. | 213 | Systematic study of the energy Internet from a business perspective. | Review | Four stages of energy system evolution are proposed. Business value and research are analysed. | ESH | |
Grijalva et al., 2011 [133]. | 146 | Prosumer smart-grid architecture. | A prosumer-based, service-oriented layered architecture, flexible and scalable, is proposed for grid interaction. | Any electric power system, from large interconnections to homes and appliances, can be modelled as a prosumer. | ESH | |
Li et al., 2021 [134]. | 45 | Energy management in the energy Internet. | Energy bodies. Double-Newton descent algorithm. | Each participant can locally obtain its optimal operation, and each energy router can locally obtain the optimal exchanged energy. | ESH | |
Goncalves et al., 2014 [135]. | 154 | Forecasting local consumption and production to help ensure the operational stability of the power system. | Based on the NOBEL CDA market. Simulation of 1897 participants at 15-min intervals for the month of September 2012. | Grouping consumers (and prosumers) diminishes forecasting errors. Higher PV penetration leads to erroneous trading and uncapitalized generation. | 1897 items from a dataset simulated from real smart-metering. Generation profile is simulated. | ESH |
Qiu et al., 2018 [136]. | 80 | Integrating various distributed energy resources for optimal scheduling of prosumers in coupled energy systems. | Transactional approach. Autoregressive integrated moving averages (ARIMAs). Artificial neural network (ANN) models. | Hierarchical and coordinated power and gas scheduling can identify more accurate operating plans for coupled transactional power systems. | Modelled from the Australian energy market operator’s publicly available 2015 historical data. | ESH |
Yin et al., 2020 [137]. | 59 | Day-ahead energy management for aggregate prosumers considering the uncertainty of intermittent renewable energy output and market prices. | Virtual power plant (VPP). Two-stage robust Stackelberg game. Clustering of prosumers by adaptive K-means algorithm. | Operating mechanism of a VPP aggregated only by prosumers. | ESH | |
Zhou et al., 2021 [138]. | 22 | Multi-energy net load forecasting. | Deep learning. | The methodology is capable of managing the multi-prosumer prediction problem with multi-energy carriers. | 1-h interval multi-energy net load data from Jan 2019. | ESH |
Zafar et al., 2018 [10]. | 246 | Prosumer-based energy management and sharing in smart grid (PEMS). | Theoretical conceptualization. Literature review. | PEMS has enormous potential for cost savings, energy conservation, and peak load balancing | ESH | |
Zepter et al., 2019 [139]. | 119 | Prosumer integration into wholesale electricity markets. | Two-stage stochastic programming approach. P2P trading. Autoregressive moving average (ARMA). | P2P trade and battery storage by themselves each induces a reduction in electricity bills by 20% to 30%. Combined, P2P trade and battery storage may lead to savings of almost 60%. | Half-hourly demand profiles of single households, meteorological data, prices for seven representative days of each season. | ESH |
Vergados et al., 2016 [140]. | 78 | Prosumer clustering in virtual microgrids. | Six clustering algorithms are compared. | Significant cost reduction achieved through the association of prosumers into groups. | Real 15-min dataset of 33 prosumers located in Greece: residential, commercial, and industrial. | ESH |
Yang et al., 2016 [141]. | 141 | Regional multi-energy prosumers (RMEPs) served by energy hubs. | Non-convex optimization problem with multi decision variables and complementarity constraints. | Prosumers can play an important role in responding to time-of-use electricity and gas tariffs, shaving the regional peak loads. | Regional natural gas and renewable energy project in an industrial zone in Changsha, Hunan, China | ESH |
Cao et al., 2019 [142]. | 114 | Prosumer-community group detection (PCG). | Dynamic game model. PGC detection as a multiobjective optimization problem; partially visible multiagent system (PVNAS). | Generalized definition of individual prosumer’s energy density. | Four power grid networks, generated by the IEEE standard model system, and three synthetic networks. | JPD |
Ma et al., 2019 [143]. | 95 | Energy management for energy hubs and PV prosumers with shiftable loads. | Cooperative and non-cooperative trading modes. MILP. MATLAB. | The cooperative model can promote local consumption of PV energy, increase the profits of the manager, and reduce the costs for prosumers. | Data from smart-meters in two office buildings and four residential buildings. | ESH |
Han et al., 2019 [144]. | 106 | Prosumer coalitions with energy management. | Cooperative game theory and energy management. | The cooperative approach not only financially rewards all the participating prosumers but also benefits the electricity distribution network by reducing the reverse power flow and flattening the local energy profile. | Customer-Led Network Revolution trials, a UK smart grid demonstration project. | JPD |
Espe et al., 2018 [145]. | 95 | Examines the literature on the prosumer community-based smart grid. | Review | Eight propositions are presented based on the findings from the literature on smart grids based on prosumer communities. | 105 articles published between 2009 and 2018. | ESH |
Pena-Bello et al., 2021 [146]. | 12 | Study of prosumer P2P decisions in an energy community. | Interdisciplinary approach, bridging psychology with the engineering sciences. Online experimental study with 251 German homeowners willing to participate in a P2P community. | P2P energy trading based on human decision-making may lead to financial benefits for prosumers and traditional consumers and reduced stress for the grid. | Detailed description of the sample and P2P experimental design in the Methods section. | ESH |
Rathnayaka et al., 2014 [147]. | 62 | Key issues and challenges associated with the development of community prosumer groups | Goal-oriented community groups of prosumers are formed. | The social impact of this concept leads to a more symmetrical interaction between community prosumer groups and utilities. | Use of prosumers’ historical energy sharing profiles. | JPD |
Rathnayaka et al., 2014 [148]. | 62 | Methodology for assessing and ranking prosumers to build a base of influential members. | Multiple-criteria decision-making techniques (MCDMs). | The higher-ranked prosumers are deemed to be more influential in enhancing the long-term sustenance of the group. | Synthetically generated dataset following realistic energy consumption, generation, and sharing models in Australian conditions. | JPD |
Kloppenburg et al., 2019 [149]. | 63 | Digital platforms to drive changes in the energy system | Theoretical study of platforms. | Platformization of energy opens up new possibilities for consumers and prosumers while making questions of energy justice and energy democracy all the more urgent | JPD | |
Moreno-Munoz et al., 2016 [150]. | 57 | The social role of the prosumer within the strategy of public entities in their communication through social media and mobile apps to improve customer engagement. | Theoretical work. | Critical reflection on how companies need to move from energy suppliers to energy service advisors. | JPD | |
Parag and Sovacool, 2016 [151]. | 624 | Conceptual study that establishes the basis for differentiation between groups of prosumers. | Theoretical work. | It establishes consistency in classification into three potential prosumer markets by differentiating among peer-to-peer models, prosumer-to-grid models, and organized prosumer groups. | JPD | |
Rodríguez-Molina et al., 2014 [152]. | 100 | New business models for prosumers. | Theoretical work. | Different examples of business models have been suggested as ways to prove that businesses based on a prosumer integrated into a smart grid are feasible. | JPD | |
Brown et al., 2019 [153]. | 73 | Study based on UK regulatory framework of barriers to new prosumer business models. | Qualitative mixed methods approach involving a baseline documentary analysis and in-depth semi-structured interviews. | Recent technological developments are opening up several new value propositions, which in turn are starting to be exploited by some new business models. | JPD | |
Tang and Yang, 2019 [154]. | 64 | Robust optimization of VPPs by considering the influence on the markets. | Algorithm is developed using the CPLEX MILP model in MATLAB. | The results also verify the effectiveness of the proposed VP method with various combinations of renewable energy sources, energy storage systems, and loads. | Data from Elia and Taipower system. | JPD |
Bryant et al., 2018 [155]. | 51 | Utility business models. | Content analysis. | Findings identified 4 emerging energy utility and utility equivalent business model typologies. | 50 Australasian and European energy utilities were analysed. | JPD |
Szulecki, 2018 [156]. | 172 | ‘Energy democracy’ is positioned in relation to similar normatively derived concepts: environmental, climate, and energy justice; and environmental democracy. | Essay using political theory and political sociology. | ‘Energy democracy’ is conceptualized as an analytical and decision-making tool, defined along three dimensions. | ESH | |
Campos et al., 2020 [157]. | 42 | Prosumer movement. | Review of social movements theory Thematic analysis. | Active energy citizens are co-creating a new socially valuable energy model. | 46 prosumer initiatives in Europe. | ESH |
Brown et al., 2020 [158]. | 48 | Normative dimensions of prosumer business models, modes of governance, and understandings of value. | Semi-structured interviews, focus groups, and documentary analysis. | A more explicit recognition of competing theories of value, agency, and change is needed in future discussions of prosumerism. | Case study of Bristol in the UK. | ESH |
Wilkinson et al., 2020 [159]. | 40 | Who are the users interested in P2P electricity market and what role can they play?. | Early trial of a blockchain-based P2P trading model in real-world conditions in Fremantle, Western Australia (RENeW Nexus) | The users who joined the P2P trial were typically financially secure households with great interest in social equity and cleaner energy systems | 50 participants in total: 40 prosumers and 10 consumers | ESH |
Palm, 2018 [160]. | 97 | To compare what homeowners identify as motives for and barriers to installing photovoltaic panels | Two rounds of interviews with PV homeowners in Sweden in the periods of 2008–2009 and 2014–2016. | First wave, early adopters motivated by environmental reasons. Second wave, the rise of economic motivations. | 2008–2009, 20 households. 2014–2016, 43 households. | ESH |
Horstink et al., 2020 [161]. | 32 | Identification of key aspects of collective prosumers. | Documentary study and an online survey in nine EU countries. | Identification of several internal and external obstacles, highlighting a mismatch of policies, organizational weaknesses, and slow reforms. | Average response rate of 21.8%. 198 initiatives concluded the questionnaire. | ESH |
Hackbarth et al., 2020 [162]. | 30 | To identify the most prospective customer segments and their preferences and motivations for participating in P2P electricity trading. | Principal component analysis was used as a method for data reduction for the attitudinal and behavioural items (all measured based on five-point Likert scales). Theory of planned behaviour. | Rather than current prosumers, planners willing to install microgeneration are considered to be the most promising target group for P2P. | Survey in April and May 2017 among 100,756 customers of seven municipal utilities in southwest Germany. 7006 participants. | ESH |
Scholten et al., 2016 [163]. | 86 | Potential political implications of the geographic and technical characteristics of renewable energy systems. | A thought experiment that imagines a purely renewable based energy system, keeping all else equal. | Extends the prosumer concept at the continental and national level, the latter leading to the concept of ‘prosumer country’. | ESH | |
Scholten et al., 2020 [164]. | 33 | Study of the political implications of renewable energy systems for interstate energy relations. | Policy perspective. | One possible outcome is a world of continental-sized grid communities consisting of prosumer countries | ESH | |
Gautier et al., 2018 [58]. | 46 | Comparison between net metering and net purchasing (net billing). | Mathematical model to compare the two metering systems. | Net metering leads to too many prosumers, a decrease in the bills of prosumers compensated via higher bills for traditional consumers, and a lack of incentives to synchronize local production and consumption. | ESH |
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Clusters | Categories | Definitions | Keywords/Occurrences | |
---|---|---|---|---|
1 | Microgrids | Clusters of loads and microgenerators operating as small power distribution systems that supply electricity and heat. | microgrids | 115 |
energy management | 83 | |||
photovoltaics | 71 | |||
energy storage | 68 | |||
distributed generation | 55 | |||
optimization | 51 | |||
battery storage | 49 | |||
self-consumption | 48 | |||
electric vehicle | 36 | |||
energy efficiency | 22 | |||
2 | Prosumer | Consumer of a product or service who at the same time participates in the production of the product or service. | prosumer | 609 |
renewable energy resources | 144 | |||
energy sharing | 34 | |||
energy community | 33 | |||
electricity market | 31 | |||
energy transition | 25 | |||
aggregator | 22 | |||
3 | Smart grids | Electricity networks that integrate information and communications technology to obtain a bidirectional flow of energy and information that allows for integrating distributed energy resources and optimizing energy efficiency. | smart grids | 191 |
demand response | 81 | |||
distributed energy resources | 79 | |||
demand side management | 49 | |||
energy management systems | 42 | |||
flexibility | 26 | |||
4 | Peer to peer | A decentralized network in which all or some aspects operate without fixed clients or servers, and its nodes behave as equals to each other in fulfilling the function without hierarchy, allowing for the direct exchange of information. | peer to peer | 84 |
blockchain | 82 | |||
energy trading | 42 | |||
transactive energy | 40 | |||
game theory | 38 | |||
energy market | 26 |
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Parra-Domínguez, J.; Sánchez, E.; Ordóñez, Á. The Prosumer: A Systematic Review of the New Paradigm in Energy and Sustainable Development. Sustainability 2023, 15, 10552. https://doi.org/10.3390/su151310552
Parra-Domínguez J, Sánchez E, Ordóñez Á. The Prosumer: A Systematic Review of the New Paradigm in Energy and Sustainable Development. Sustainability. 2023; 15(13):10552. https://doi.org/10.3390/su151310552
Chicago/Turabian StyleParra-Domínguez, Javier, Esteban Sánchez, and Ángel Ordóñez. 2023. "The Prosumer: A Systematic Review of the New Paradigm in Energy and Sustainable Development" Sustainability 15, no. 13: 10552. https://doi.org/10.3390/su151310552
APA StyleParra-Domínguez, J., Sánchez, E., & Ordóñez, Á. (2023). The Prosumer: A Systematic Review of the New Paradigm in Energy and Sustainable Development. Sustainability, 15(13), 10552. https://doi.org/10.3390/su151310552