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

Hua Du (Corresponding author), Qi Han, Bauke de Vries, Jun Sun

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13 Citations (Scopus)
122 Downloads (Pure)

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.

Original languageEnglish
Article number122163
Number of pages13
JournalApplied Energy
Volume354
Issue numberpart A
DOIs
Publication statusPublished - 15 Jan 2024

Funding

China Scholarship Council supports Hua Du's PhD study at Eindhoven University of Technology (grant number 201906160087 ).

FundersFunder number
Eindhoven University of Technology201906160087

    Keywords

    • Discrete choice experiment
    • Latent class model,
    • PV adoption
    • Peer effect
    • Residential PV

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