Modeling residential photovoltaic adoption: A system dynamics approach for solar energy expansion
Melika Rezaei Chayjan,
Farzad Dehghanian and
Mohammad Daneshvar Kakhki
Energy Policy, 2024, vol. 189, issue C
Abstract:
Using a system dynamics approach and the Generalized Bass model, we model the diffusion of Photovoltaic System (PVS) adoption among Iranian households. The model recreates the interplay between economic, social capital, managerial, political, and technical factors influencing PVS adoption. While existing literature indicates that technology diffusion typically follows an S-shaped growth pattern, this is not true in Iran. Our research reveals that the deviation can be attributed to the low estimated values of innovation and imitation coefficients. Our study emphasizes the positive impact of factors such as society's awareness and interest, environmental concerns, and government-provided incentives while highlighting the negative influence of factors like inflation and increased payback periods on PVS adoption. This study provides insights for practitioners and policymakers to develop effective strategies for PVS adoption, fostering a sustainable energy future in Iran and other emerging nations.
Keywords: System dynamics; Photovoltaic system; Generalized Bass model; Social capital; Solar energy (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0301421524001538
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:enepol:v:189:y:2024:i:c:s0301421524001538
DOI: 10.1016/j.enpol.2024.114133
Access Statistics for this article
Energy Policy is currently edited by N. France
More articles in Energy Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().