Publication Type
Journal Article
Version
acceptedVersion
Publication Date
1-2021
Abstract
With the deepening of power market reform, distributed power generation is gaining momentum. This paper tests the distributed photovoltaic (DPV) economy under different business models by taking three provinces to stand for typical resource zones. The Internal return rate (IRR) is used to measure the economy, while the improved levelized cost of electricity (LCOE) is used to model the generation cost. Three business modes, namely pure producer (all generation sold to the grid), prosumer (self-use and the rest sold to the grid), and peer-to-peer trade (P2P, all generation traded via the grid) are studied. Results show that peer-to-peer trade is more profitable and is a win-win solution to both DPV owner and electricity consumers. However, peer-to-peer trade is possible only when power grid's role is properly defined in China's power sector reform. Electricity trading mechanism should be improved to facilitate peer-to-peer trade. (C) 2020 Elsevier Ltd. All rights reserved.
Keywords
Distributed photovoltaic, Business model, Prosumer, Peer-to-peer trade
Discipline
Energy Policy | Environmental Sciences | Numerical Analysis and Scientific Computing | Operations and Supply Chain Management
Publication
Journal of Cleaner Production
Volume
280
First Page
1
Last Page
13
ISSN
0959-6526
Identifier
10.1016/j.jclepro.2020.124500
Publisher
Elsevier
Citation
SONG, Peiyun; ZHOU, Yiou; and YUAN, Jiahai.
Peer-to-peer trade and the economy of distributed PV in China. (2021). Journal of Cleaner Production. 280, 1-13.
Available at: https://ink.library.smu.edu.sg/sis_research/6965
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/j.jclepro.2020.124500
Included in
Energy Policy Commons, Environmental Sciences Commons, Numerical Analysis and Scientific Computing Commons, Operations and Supply Chain Management Commons