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Applied Energy
Article . 2024 . Peer-reviewed
License: CC BY
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Community solar PV adoption in residential apartment buildings: A case study on influencing factors and incentive measures in Wuhan

a case study on influencing factors and incentive measures in Wuhan
Authors: Du, Hua; Han, Qi; de Vries, Bauke; Sun, Jun;

Community solar PV adoption in residential apartment buildings: A case study on influencing factors and incentive measures in Wuhan

Abstract

The potential benefits of adopting PV (photovoltaic) in residential apartments in China, such as reducing peak demand and electricity transmission issues, have been overlooked. Community PV is more applicable for most Chinese cities residents living in apartment buildings. However, existing studies failed to provide comprehensive insight regarding factors influencing community PV adoption and adoption decision strategies. This study utilized a discrete choice experiment performed in Wuhan to examine individuals' community PV adoption preferences and analyze the factors influencing their decisions. The study found that respondents who were well-educated, older than 40, lived in residential buildings constructed earlier than 2006, had a living area >120 m 2, or used AC for more months in the summer were more likely to adopt PV. Three decision strategies (classes) with different PV product preferences were identified. Peer effect is identified to significantly influence the community PV adoption as almost 65% of the respondents are more likely to adopt PV if there are high neighboring PV adoption or installation agreement rates. Cost was not a determining factor for a significant proportion of respondents, who instead focused on revenue. Subsidy policies also had limited influence, affecting only about 43% of respondents. Policy implications are provided based on the research results.

Country
Netherlands
Keywords

Discrete choice experiment, Latent class model, Residential PV, PV adoption, SDG 7 - Affordable and Clean Energy, Peer effect, SDG 7 – Betaalbare en schone energie

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    12
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Average
Top 10%
hybrid