研究目的
To forecast subsidy per kWh of distributed photovoltaic (DPV) based on net present value (NPV) method and propose varied and targeted measures for subsidy adjustment in China.
研究成果
The study concludes that increasing subsidy duration, internal consumption proportion, and sunshine hours can reduce subsidy levels. It suggests implementing varied and targeted subsidy measures to alleviate financial burdens on the government and users.
研究不足
The study focuses on specific regions and may not account for all variables affecting DPV subsidy levels across China.
1:Experimental Design and Method Selection:
The study employs a linkage model based on the NPV method to forecast DPV subsidy per kWh.
2:Sample Selection and Data Sources:
Data from shopping mall rooftop DPV projects in Beijing, Western Qinghai, and Hangzhou are used.
3:List of Experimental Equipment and Materials:
Not explicitly mentioned.
4:Experimental Procedures and Operational Workflow:
The model calculates cash flows and NPV of DPV projects under various scenarios.
5:Data Analysis Methods:
The impact of subsidy duration, internal consumption proportion, and sunshine hours on subsidy levels is analyzed.
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