Abstract
In China, the installed cost of distributed photovoltaic (DPV) is declining rapidly. However, the level of subsidy per kWh for DPV is adjusted less frequently by the Chinese government. This paper proposed a linkage model to forecast subsidy per kWh of DPV based on net present value (NPV) method. The results show that the increase of subsidy duration, internal consumption proportion and sunshine hours will reduce subsidy level. Therefore, it is suggested that the Chinese government should take varied and targeted measures, such as reducing different subsidies for new DPV users who install DPV in different years, choosing a longer subsidy duration and setting different subsidy levels in different regions. These varied and targeted measures are beneficial to both government and users, because they can reduce the annual financial burden for the government and the surcharges of electricity purchase for users.
| Original language | English |
|---|---|
| Pages (from-to) | 3393-3398 |
| Journal | Energy Procedia |
| Volume | 158 |
| DOIs | |
| Publication status | Published - Feb 2019 |
| Event | 10th International Conference on Applied Energy (ICAE 2018): “Innovative Solutions for Energy Transitions” - Hong Kong, China Duration: 22 Aug 2018 → 25 Aug 2018 https://www.journals.elsevier.com/applied-energy/news/call-for-papers-icae2018-the-10th-international-conference-o (For reference) |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Research Keywords
- China
- Distributed photovoltaic
- NPV method
- Subsidy
Publisher's Copyright Statement
- This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/
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