Paper
16 February 2022 Research on comprehensive benefit evaluation of photovoltaic power generation based on matter element extension model
Baoju Chu, Ling Lin, Yingjin Ye, Di Ruan, Yafang Zhu, Yaru Han, Nan Ye
Author Affiliations +
Proceedings Volume 12164, International Conference on Optoelectronic Materials and Devices (ICOMD 2021); 121640E (2022) https://doi.org/10.1117/12.2628439
Event: 2021 International Conference on Optoelectronic Materials and Devices, 2021, Guangzhou, China
Abstract
For the comprehensive benefit evaluation of photovoltaic power generation, this paper puts forward a corresponding evaluation model. In order to avoid the influence of human subjective factors, the entropy method is used to modify the weights that determine the relative importance of the indicators at each level of the indicator system by the analytic hierarchy process (AHP). Then, through the matter-element extension model, the comprehensive benefits of photovoltaic power generation projects are comprehensively and systematically analyzed from four aspects: economic benefits, technical benefits, social benefits and environmental benefits. Finally, the comprehensive benefit evaluation of a 30MW photovoltaic power generation project is carried out, and the corresponding conclusions are drawn, which verifies the validity of the model, and provides a method for objectively evaluating the comprehensive benefits of photovoltaic power generation.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Baoju Chu, Ling Lin, Yingjin Ye, Di Ruan, Yafang Zhu, Yaru Han, and Nan Ye "Research on comprehensive benefit evaluation of photovoltaic power generation based on matter element extension model", Proc. SPIE 12164, International Conference on Optoelectronic Materials and Devices (ICOMD 2021), 121640E (16 February 2022); https://doi.org/10.1117/12.2628439
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KEYWORDS
Photovoltaics

Solar energy

Analytical research

Cobalt

Solar radiation models

Liquids

Reliability

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