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A Technical Review of Modeling Techniques for Urban Solar Mobility: Solar to Buildings, Vehicles, and Storage (S2BVS)

Author

Listed:
  • Pei Huang

    (Energy Technology, Dalarna University, 79188 Falun, Sweden)

  • Xingxing Zhang

    (Energy Technology, Dalarna University, 79188 Falun, Sweden)

  • Benedetta Copertaro

    (Energy Technology, Dalarna University, 79188 Falun, Sweden)

  • Puneet Kumar Saini

    (Energy Technology, Dalarna University, 79188 Falun, Sweden)

  • Da Yan

    (School of Architecture, Tsinghua University, Beijing 100084, China)

  • Yi Wu

    (School of Architecture, Tsinghua University, Beijing 100084, China)

  • Xiangjie Chen

    (School of Architecture, Centre for Renewable Energy Systems Technology, Loughborough University, Leicestershire LE11 3TU, UK)

Abstract

The deployment of solar photovoltaics (PV) and electric vehicles (EVs) is continuously increasing during urban energy transition. With the increasing deployment of energy storage, the development of the energy sharing concept and the associated advanced controls, the conventional solar mobility model (i.e., solar-to-vehicles (S2V), using solar energy in a different location) and context are becoming less compatible and limited for future scenarios. For instance, energy sharing within a building cluster enables buildings to share surplus PV power generation with other buildings of insufficient PV power generation, thereby improving the overall PV power utilization and reducing the grid power dependence. However, such energy sharing techniques are not considered in the conventional solar mobility models, which limits the potential for performance improvements. Therefore, this study conducts a systematic review of solar mobility-related studies as well as the newly developed energy concepts and techniques. Based on the review, this study extends the conventional solar mobility scope from S2V to solar-to-buildings, vehicles and storage (S2BVS). A detailed modeling of each sub-system in the S2BVS model and related advanced controls are presented, and the research gaps that need future investigation for promoting solar mobility are identified. The aim is to provide an up-to-date review of the existing studies related to solar mobility to decision makers, so as to help enhance solar power utilization, reduce buildings’ and EVs’ dependence and impacts on the power grid, as well as carbon emissions.

Suggested Citation

  • Pei Huang & Xingxing Zhang & Benedetta Copertaro & Puneet Kumar Saini & Da Yan & Yi Wu & Xiangjie Chen, 2020. "A Technical Review of Modeling Techniques for Urban Solar Mobility: Solar to Buildings, Vehicles, and Storage (S2BVS)," Sustainability, MDPI, vol. 12(17), pages 1-37, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:7035-:d:405720
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    1. Nunes, Pedro & Farias, Tiago & Brito, Miguel C., 2015. "Day charging electric vehicles with excess solar electricity for a sustainable energy system," Energy, Elsevier, vol. 80(C), pages 263-274.
    2. Parra, David & Norman, Stuart A. & Walker, Gavin S. & Gillott, Mark, 2016. "Optimum community energy storage system for demand load shifting," Applied Energy, Elsevier, vol. 174(C), pages 130-143.
    3. Zhang, Jianyuan & Zhao, Li & Deng, Shuai & Xu, Weicong & Zhang, Ying, 2017. "A critical review of the models used to estimate solar radiation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 314-329.
    4. Dallinger, David & Gerda, Schubert & Wietschel, Martin, 2013. "Integration of intermittent renewable power supply using grid-connected vehicles – A 2030 case study for California and Germany," Applied Energy, Elsevier, vol. 104(C), pages 666-682.
    5. Ullah, Asad & Imran, Hassan & Maqsood, Zaki & Butt, Nauman Zafar, 2019. "Investigation of optimal tilt angles and effects of soiling on PV energy production in Pakistan," Renewable Energy, Elsevier, vol. 139(C), pages 830-843.
    6. Parra, David & Gillott, Mark & Norman, Stuart A. & Walker, Gavin S., 2015. "Optimum community energy storage system for PV energy time-shift," Applied Energy, Elsevier, vol. 137(C), pages 576-587.
    7. Islam, Md Shariful & Mithulananthan, N., 2018. "PV based EV charging at universities using supplied historical PV output ramp," Renewable Energy, Elsevier, vol. 118(C), pages 306-327.
    8. Shirazi, Ali Mohammad & Zomorodian, Zahra S. & Tahsildoost, Mohammad, 2019. "Techno-economic BIPV evaluation method in urban areas," Renewable Energy, Elsevier, vol. 143(C), pages 1235-1246.
    9. Zhang, Bingying & Li, Qiqiang & Wang, Luhao & Feng, Wei, 2018. "Robust optimization for energy transactions in multi-microgrids under uncertainty," Applied Energy, Elsevier, vol. 217(C), pages 346-360.
    10. Roberts, Mike B. & Bruce, Anna & MacGill, Iain, 2019. "Impact of shared battery energy storage systems on photovoltaic self-consumption and electricity bills in apartment buildings," Applied Energy, Elsevier, vol. 245(C), pages 78-95.
    11. Huang, Pei & Sun, Yongjun, 2019. "A collaborative demand control of nearly zero energy buildings in response to dynamic pricing for performance improvements at cluster level," Energy, Elsevier, vol. 174(C), pages 911-921.
    12. Huang, Pei & Sun, Yongjun, 2019. "A clustering based grouping method of nearly zero energy buildings for performance improvements," Applied Energy, Elsevier, vol. 235(C), pages 43-55.
    13. Xylia, Maria & Silveira, Semida, 2017. "On the road to fossil-free public transport: The case of Swedish bus fleets," Energy Policy, Elsevier, vol. 100(C), pages 397-412.
    14. Fumo, Nelson & Rafe Biswas, M.A., 2015. "Regression analysis for prediction of residential energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 332-343.
    15. Koskela, Juha & Rautiainen, Antti & Järventausta, Pertti, 2019. "Using electrical energy storage in residential buildings – Sizing of battery and photovoltaic panels based on electricity cost optimization," Applied Energy, Elsevier, vol. 239(C), pages 1175-1189.
    16. Chaouachi, Aymen & Bompard, Ettore & Fulli, Gianluca & Masera, Marcelo & De Gennaro, Michele & Paffumi, Elena, 2016. "Assessment framework for EV and PV synergies in emerging distribution systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 719-728.
    17. Huang, Pei & Huang, Gongsheng & Sun, Yongjun, 2018. "Uncertainty-based life-cycle analysis of near-zero energy buildings for performance improvements," Applied Energy, Elsevier, vol. 213(C), pages 486-498.
    18. Huang, Pei & Huang, Gongsheng & Sun, Yongjun, 2018. "A robust design of nearly zero energy building systems considering performance degradation and maintenance," Energy, Elsevier, vol. 163(C), pages 905-919.
    19. Tongsopit, Sopitsuda & Junlakarn, Siripha & Wibulpolprasert, Wichsinee & Chaianong, Aksornchan & Kokchang, Phimsupha & Hoang, Nghia Vu, 2019. "The economics of solar PV self-consumption in Thailand," Renewable Energy, Elsevier, vol. 138(C), pages 395-408.
    20. Paul Codani & Pierre-Louis Le Portz & Pierre Claverie & Marc Petit & Yannick Perez, 2016. "Coupling local renewable energy production with electric vehicle charging: a survey of the French case," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 16(1), pages 55-69.
    21. Tronchin, Lamberto & Manfren, Massimiliano & Nastasi, Benedetto, 2018. "Energy efficiency, demand side management and energy storage technologies – A critical analysis of possible paths of integration in the built environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 341-353.
    22. Fonseca, Jimeno A. & Schlueter, Arno, 2015. "Integrated model for characterization of spatiotemporal building energy consumption patterns in neighborhoods and city districts," Applied Energy, Elsevier, vol. 142(C), pages 247-265.
    23. Barone, G. & Buonomano, A. & Calise, F. & Forzano, C. & Palombo, A., 2019. "Building to vehicle to building concept toward a novel zero energy paradigm: Modelling and case studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 625-648.
    24. Sardi, Junainah & Mithulananthan, N. & Hung, Duong Quoc, 2017. "Strategic allocation of community energy storage in a residential system with rooftop PV units," Applied Energy, Elsevier, vol. 206(C), pages 159-171.
    25. Zhang, Qi & Tezuka, Tetsuo & Ishihara, Keiichi N. & Mclellan, Benjamin C., 2012. "Integration of PV power into future low-carbon smart electricity systems with EV and HP in Kansai Area, Japan," Renewable Energy, Elsevier, vol. 44(C), pages 99-108.
    26. Alaia Sola & Cristina Corchero & Jaume Salom & Manel Sanmarti, 2018. "Simulation Tools to Build Urban-Scale Energy Models: A Review," Energies, MDPI, vol. 11(12), pages 1-24, November.
    27. Michel Noussan & Francesco Neirotti, 2020. "Cross-Country Comparison of Hourly Electricity Mixes for EV Charging Profiles," Energies, MDPI, vol. 13(10), pages 1-14, May.
    28. Palacios-Garcia, E.J. & Moreno-Munoz, A. & Santiago, I. & Flores-Arias, J.M. & Bellido-Outeirino, F.J. & Moreno-Garcia, I.M., 2018. "A stochastic modelling and simulation approach to heating and cooling electricity consumption in the residential sector," Energy, Elsevier, vol. 144(C), pages 1080-1091.
    29. Besharat, Fariba & Dehghan, Ali A. & Faghih, Ahmad R., 2013. "Empirical models for estimating global solar radiation: A review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 798-821.
    30. Popiolek, Nathalie & Thais, Françoise, 2016. "Multi-criteria analysis of innovation policies in favour of solar mobility in France by 2030," Energy Policy, Elsevier, vol. 97(C), pages 202-219.
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    Cited by:

    1. Ibrahim Alsaidan & Priyanka Chaudhary & Muhannad Alaraj & Mohammad Rizwan, 2021. "An Intelligent Approach to Active and Reactive Power Control in a Grid-Connected Solar Photovoltaic System," Sustainability, MDPI, vol. 13(8), pages 1-24, April.
    2. Sandström, Maria & Huang, Pei & Bales, Chris & Dotzauer, Erik, 2023. "Evaluation of hosting capacity of the power grid for electric vehicles – A case study in a Swedish residential area," Energy, Elsevier, vol. 284(C).
    3. Moiz Masood Syed & Gregory M. Morrison, 2021. "A Rapid Review on Community Connected Microgrids," Sustainability, MDPI, vol. 13(12), pages 1-40, June.
    4. Dan Craciunescu & Laurentiu Fara, 2023. "Investigation of the Partial Shading Effect of Photovoltaic Panels and Optimization of Their Performance Based on High-Efficiency FLC Algorithm," Energies, MDPI, vol. 16(3), pages 1-28, January.
    5. Board, Anthony & Sun, Yongjun & Huang, Pei & Xu, Tao, 2024. "Community-to-vehicle-to-community (C2V2C) for inter-community electricity delivery and sharing via electric vehicle: Performance evaluation and robustness analysis," Applied Energy, Elsevier, vol. 363(C).

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