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Spatiotemporal estimation of photovoltaic system adopters using fuzzy logic

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  • Marcochi de Melo, Diego
  • Villavicencio Gastelu, Joel
  • Asano, Patrícia T.L.
  • Melo, Joel D.

Abstract

A considerable amount of governmental agencies have sought to improve their inhabitants' quality of life in recent years, encouraging new sustainable technologies. The characterization of how these new technologies are disseminated in urban areas can help planners carry out campaigns or incentive policies that help achieve decarbonization goals. This paper presents a methodology based on fuzzy logic to characterize the spatiotemporal dynamics as to the adopters of photovoltaic systems in residential subareas. This characterization model proposes to demonstrate the influence that the first inhabitants, who adopted the technology of photovoltaic systems, can exert on the inhabitants of adjacent sub-areas. Considering that the degree of adherence to photovoltaic technology is related to subjective characteristics, the proposal uses three linguistic variables: low, medium, and high to model such adherence using fuzzy sets. The proposed methodology results present heat maps that identify the subareas with more inhabitants adopting photovoltaic systems. Hence, it has been applied in a medium-sized city in the state of São Paulo, Brazil. The obtained spatial distribution of photovoltaic adopters is heterogeneous, with subareas presenting medium and high values of photovoltaic adopters for each study year. The percentages of categorized subareas as high in the years 2017, 2018, 2019 are 8,3%, 19,3%, 19,7%, respectively. These results indicate that planners should promote more PV technology, especially in the city's outskirt subareas. A spatiotemporal estimation method and the history of recording installations of photovoltaic systems are used for comparison purposes. The comparison of results shows that the proposed method better characterizes the PV diffusion installed in the first years. This class of results can help planners better assess the diffusion goals of photovoltaic systems in urban areas, which are being used in the integrated planning of sustainable cities and provide information for planners to reach decarbonization goals.

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  • Marcochi de Melo, Diego & Villavicencio Gastelu, Joel & Asano, Patrícia T.L. & Melo, Joel D., 2022. "Spatiotemporal estimation of photovoltaic system adopters using fuzzy logic," Renewable Energy, Elsevier, vol. 181(C), pages 1188-1196.
    • Handle: RePEc:eee:renene:v:181:y:2022:i:c:p:1188-1196
    DOI: 10.1016/j.renene.2021.09.113
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    References listed on IDEAS

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    1. Palm, A., 2020. "Early adopters and their motives: Differences between earlier and later adopters of residential solar photovoltaics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    2. Tozer, Laura & University, Durham, 2020. "Catalyzing political momentum for the effective implementation of decarbonization for urban buildings," Energy Policy, Elsevier, vol. 136(C).
    3. Bao, Qifang & Sinitskaya, Ekaterina & Gomez, Kelley J. & MacDonald, Erin F. & Yang, Maria C., 2020. "A human-centered design approach to evaluating factors in residential solar PV adoption: A survey of homeowners in California and Massachusetts," Renewable Energy, Elsevier, vol. 151(C), pages 503-513.
    4. Palm, Alvar & Lantz, Björn, 2020. "Information dissemination and residential solar PV adoption rates: The effect of an information campaign in Sweden," Energy Policy, Elsevier, vol. 142(C).
    5. Lobaccaro, G. & Croce, S. & Lindkvist, C. & Munari Probst, M.C. & Scognamiglio, A. & Dahlberg, J. & Lundgren, M. & Wall, M., 2019. "A cross-country perspective on solar energy in urban planning: Lessons learned from international case studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 209-237.
    6. Jacob Bitsch Nørgaard & Tamás Kerekes & Dezso Séra, 2019. "Case Study of Residential PV Power and Battery Storage with the Danish Flexible Pricing Scheme," Energies, MDPI, vol. 12(5), pages 1-11, February.
    7. Joud Al Dakheel & Kheira Tabet Aoul & Ahmed Hassan, 2018. "Enhancing Green Building Rating of a School under the Hot Climate of UAE; Renewable Energy Application and System Integration," Energies, MDPI, vol. 11(9), pages 1-14, September.
    8. Müller, Jonas & Trutnevyte, Evelina, 2020. "Spatial projections of solar PV installations at subnational level: Accuracy testing of regression models," Applied Energy, Elsevier, vol. 265(C).
    9. Wang, Ge & Zhang, Qi & Li, Yan & Li, Hailong, 2018. "Policy simulation for promoting residential PV considering anecdotal information exchanges based on social network modelling," Applied Energy, Elsevier, vol. 223(C), pages 1-10.
    10. Tercan, Emre & Eymen, Abdurrahman & Urfalı, Tuğrul & Saracoglu, Burak Omer, 2021. "A sustainable framework for spatial planning of photovoltaic solar farms using GIS and multi-criteria assessment approach in Central Anatolia, Turkey," Land Use Policy, Elsevier, vol. 102(C).
    11. Miranda, Raul F.C. & Szklo, Alexandre & Schaeffer, Roberto, 2015. "Technical-economic potential of PV systems on Brazilian rooftops," Renewable Energy, Elsevier, vol. 75(C), pages 694-713.
    12. Mah, Daphne Ngar-yin & Wang, Guihua & Lo, Kevin & Leung, Michael K.H. & Hills, Peter & Lo, Alex Y., 2018. "Barriers and policy enablers for solar photovoltaics (PV) in cities: Perspectives of potential adopters in Hong Kong," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 921-936.
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