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Business model comparison of slum-based PV to realize low-cost and flexible power generation in city-level

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  • Liu, Zhengguang
  • Guo, Zhiling
  • Song, Chenchen
  • Du, Ying
  • Chen, Qi
  • Chen, Yuntian
  • Zhang, Haoran

Abstract

Photovoltaics (PVs) have become an essential part of the energy transition in recent years, and decision-makers have gradually entered the era of PV markets without subsidies. Consequently, the importance of PV policy and business models has been further demonstrated. However, in the case of rooftop PVs in urban areas, most PV promotion policies only focus on formal areas, whereas there is a lack of suitable policies directly applicable to slums with informal built environments. This study focused on a method for realizing low-cost and flexible PV power generation for urban slums with competitive business models. First, an analysis of rooftop PV in slums revealed three business models as dominant including slums, high-rise buildings, governments, power systems, and energy service providers. Afterward, considering Shenzhen as a case study, different loads of various buildings were provided, and the overall power generation potential at the city level was analyzed. Subsequently, 11 typical building groups were selected to evaluate the business model profits. Consequently, considering the construction rate caused by the energy policy of PVs, the most suitable solutions for different types of areas and various construction-rate combinations were discussed. Thus, this study argued that our novel analysis could serve as a powerful tool for policymakers to plan the future development of sustainable cities and alleviate poverty.

Suggested Citation

  • Liu, Zhengguang & Guo, Zhiling & Song, Chenchen & Du, Ying & Chen, Qi & Chen, Yuntian & Zhang, Haoran, 2023. "Business model comparison of slum-based PV to realize low-cost and flexible power generation in city-level," Applied Energy, Elsevier, vol. 344(C).
    • Handle: RePEc:eee:appene:v:344:y:2023:i:c:s0306261923005846
    DOI: 10.1016/j.apenergy.2023.121220
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    as
    1. Moner-Girona, M. & Solano-Peralta, M. & Lazopoulou, M. & Ackom, E.K. & Vallve, X. & Szabó, S., 2018. "Electrification of Sub-Saharan Africa through PV/hybrid mini-grids: Reducing the gap between current business models and on-site experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1148-1161.
    2. Jinyue Yan & Ying Yang & Pietro Elia Campana & Jijiang He, 2019. "City-level analysis of subsidy-free solar photovoltaic electricity price, profits and grid parity in China," Nature Energy, Nature, vol. 4(8), pages 709-717, August.
    3. Kästel, Peter & Gilroy-Scott, Bryce, 2015. "Economics of pooling small local electricity prosumers—LCOE & self-consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 718-729.
    4. Lazzeroni, Paolo & Moretti, Francesco & Stirano, Federico, 2020. "Economic potential of PV for Italian residential end-users," Energy, Elsevier, vol. 200(C).
    5. Qianwei Cheng & Moinul Zaber & AKM Mahbubur Rahman & Haoran Zhang & Zhiling Guo & Akiko Okabe & Ryosuke Shibasaki, 2022. "Understanding the Urban Environment from Satellite Images with New Classification Method—Focusing on Formality and Informality," Sustainability, MDPI, vol. 14(7), pages 1-27, April.
    6. Rogers, Jennifer C. & Simmons, Eunice A. & Convery, Ian & Weatherall, Andrew, 2012. "Social impacts of community renewable energy projects: findings from a woodfuel case study," Energy Policy, Elsevier, vol. 42(C), pages 239-247.
    7. Herbes, Carsten & Brummer, Vasco & Rognli, Judith & Blazejewski, Susanne & Gericke, Naomi, 2017. "Responding to policy change: New business models for renewable energy cooperatives – Barriers perceived by cooperatives’ members," Energy Policy, Elsevier, vol. 109(C), pages 82-95.
    8. Tao, Jacqueline Yujia & Finenko, Anton, 2016. "Moving beyond LCOE: impact of various financing methods on PV profitability for SIDS," Energy Policy, Elsevier, vol. 98(C), pages 749-758.
    9. Diane Palmer & Elena Koumpli & Ian Cole & Ralph Gottschalg & Thomas Betts, 2018. "A GIS-Based Method for Identification of Wide Area Rooftop Suitability for Minimum Size PV Systems Using LiDAR Data and Photogrammetry," Energies, MDPI, vol. 11(12), pages 1-22, December.
    10. Zhang, Haoran & Yan, Jinyue & Yu, Qing & Obersteiner, Michael & Li, Wenjing & Chen, Jinyu & Zhang, Qiong & Jiang, Mingkun & Wallin, Fredrik & Song, Xuan & Wu, Jiang & Wang, Xin & Shibasaki, Ryosuke, 2021. "1.6 Million transactions replicate distributed PV market slowdown by COVID-19 lockdown," Applied Energy, Elsevier, vol. 283(C).
    11. Huijben, J.C.C.M. & Verbong, G.P.J., 2013. "Breakthrough without subsidies? PV business model experiments in the Netherlands," Energy Policy, Elsevier, vol. 56(C), pages 362-370.
    12. Wu, Yunna & Geng, Shuai & Zhang, Haobo & Gao, Min, 2014. "Decision framework of solar thermal power plant site selection based on linguistic Choquet operator," Applied Energy, Elsevier, vol. 136(C), pages 303-311.
    13. Huang, Zhaojian & Mendis, Thushini & Xu, Shen, 2019. "Urban solar utilization potential mapping via deep learning technology: A case study of Wuhan, China," Applied Energy, Elsevier, vol. 250(C), pages 283-291.
    14. Nematollahi, Omid & Alamdari, Pouria & Jahangiri, Mehdi & Sedaghat, Ahmad & Alemrajabi, Ali Akbar, 2019. "A techno-economical assessment of solar/wind resources and hydrogen production: A case study with GIS maps," Energy, Elsevier, vol. 175(C), pages 914-930.
    15. Lindberg, O. & Birging, A. & Widén, J. & Lingfors, D., 2021. "PV park site selection for utility-scale solar guides combining GIS and power flow analysis: A case study on a Swedish municipality," Applied Energy, Elsevier, vol. 282(PA).
    16. Zhang, Qiang & Chen, Wenying, 2020. "Modeling China’s interprovincial electricity transmission under low carbon transition," Applied Energy, Elsevier, vol. 279(C).
    17. Jung, Seunghoon & Jeoung, Jaewon & Kang, Hyuna & Hong, Taehoon, 2021. "Optimal planning of a rooftop PV system using GIS-based reinforcement learning," Applied Energy, Elsevier, vol. 298(C).
    18. Tang, Yanyan & Zhang, Qi & Mclellan, Benjamin & Li, Hailong, 2018. "Study on the impacts of sharing business models on economic performance of distributed PV-Battery systems," Energy, Elsevier, vol. 161(C), pages 544-558.
    19. Richter, Mario, 2013. "German utilities and distributed PV: How to overcome barriers to business model innovation," Renewable Energy, Elsevier, vol. 55(C), pages 456-466.
    20. Nolden, Colin, 2013. "Governing community energy—Feed-in tariffs and the development of community wind energy schemes in the United Kingdom and Germany," Energy Policy, Elsevier, vol. 63(C), pages 543-552.
    21. Zhao, Xingang & Zeng, Yiping & Zhao, Di, 2015. "Distributed solar photovoltaics in China: Policies and economic performance," Energy, Elsevier, vol. 88(C), pages 572-583.
    22. Romero-Rubio, Carmen & de Andrés Díaz, José Ramón, 2015. "Sustainable energy communities: a study contrasting Spain and Germany," Energy Policy, Elsevier, vol. 85(C), pages 397-409.
    23. Colak, H. Ebru & Memisoglu, Tugba & Gercek, Yasin, 2020. "Optimal site selection for solar photovoltaic (PV) power plants using GIS and AHP: A case study of Malatya Province, Turkey," Renewable Energy, Elsevier, vol. 149(C), pages 565-576.
    24. Ali, Usman & Shamsi, Mohammad Haris & Bohacek, Mark & Purcell, Karl & Hoare, Cathal & Mangina, Eleni & O’Donnell, James, 2020. "A data-driven approach for multi-scale GIS-based building energy modeling for analysis, planning and support decision making," Applied Energy, Elsevier, vol. 279(C).
    25. Cirés, E. & Marcos, J. & de la Parra, I. & García, M. & Marroyo, L., 2019. "The potential of forecasting in reducing the LCOE in PV plants under ramp-rate restrictions," Energy, Elsevier, vol. 188(C).
    26. Li, Changsheng & Shen, Bo, 2019. "Accelerating renewable energy electrification and rural economic development with an innovative business model: A case study in China," Energy Policy, Elsevier, vol. 127(C), pages 280-286.
    27. Luthander, Rasmus & Widén, Joakim & Munkhammar, Joakim & Lingfors, David, 2016. "Self-consumption enhancement and peak shaving of residential photovoltaics using storage and curtailment," Energy, Elsevier, vol. 112(C), pages 221-231.
    28. Cho, Hannah Hyunah & Strezov, Vladimir, 2021. "Comparative analysis of the environmental impacts of Australian thermal power stations using direct emission data and GIS integrated methods," Energy, Elsevier, vol. 231(C).
    29. Nolden, C. & Barnes, J. & Nicholls, J., 2020. "Community energy business model evolution: A review of solar photovoltaic developments in England," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
    30. Bomberg, Elizabeth & McEwen, Nicola, 2012. "Mobilizing community energy," Energy Policy, Elsevier, vol. 51(C), pages 435-444.
    31. Su, Wencong & Huang, Alex Q., 2014. "A game theoretic framework for a next-generation retail electricity market with high penetration of distributed residential electricity suppliers," Applied Energy, Elsevier, vol. 119(C), pages 341-350.
    32. Brummer, Vasco, 2018. "Community energy – benefits and barriers: A comparative literature review of Community Energy in the UK, Germany and the USA, the benefits it provides for society and the barriers it faces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 187-196.
    33. Hong, Taehoon & Koo, Choongwan & Park, Joonho & Park, Hyo Seon, 2014. "A GIS (geographic information system)-based optimization model for estimating the electricity generation of the rooftop PV (photovoltaic) system," Energy, Elsevier, vol. 65(C), pages 190-199.
    34. Han, Xiaojuan & Liang, Yubo & Ai, Yaoyao & Li, Jianlin, 2018. "Economic evaluation of a PV combined energy storage charging station based on cost estimation of second-use batteries," Energy, Elsevier, vol. 165(PA), pages 326-339.
    35. Zhang, Huiming & Xu, Zhidong & Sun, Chuanwang & Elahi, Ehsan, 2018. "Targeted poverty alleviation using photovoltaic power: Review of Chinese policies," Energy Policy, Elsevier, vol. 120(C), pages 550-558.
    36. Yunna Wu & Jianli Zhou & Yong Hu & Lingwenying Li & Xiaokun Sun, 2018. "A TODIM-Based Investment Decision Framework for Commercial Distributed PV Projects under the Energy Performance Contracting (EPC) Business Model: A Case in East-Central China," Energies, MDPI, vol. 11(5), pages 1-27, May.
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