A Study on the Conduction Mechanism and Evaluation of the Comprehensive Efficiency of Photovoltaic Power Generation in China
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| Názov: | A Study on the Conduction Mechanism and Evaluation of the Comprehensive Efficiency of Photovoltaic Power Generation in China |
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| Autori: | Jinpeng Liu, Yun Long, Xiaohua Song |
| Zdroj: | Energies, Vol 10, Iss 5, p 723 (2017) |
| Informácie o vydavateľovi: | MDPI AG |
| Rok vydania: | 2017 |
| Zbierka: | Directory of Open Access Journals: DOAJ Articles |
| Predmety: | photovoltaic power generation, comprehensive efficiency, conduction mechanism, efficiency evaluation, political mechanism, Technology |
| Popis: | In the context of the global potential energy crisis and aggravating regional environmental pollution, Chinese photovoltaic power generation still faces the key problems of sustainable development, even given its favorable background in large-scale exploitation. Scientific evaluation of the comprehensive efficiency of photovoltaic power generation is of great significance because it will improve investment decision-making and enhance management level, evaluate the development conditions of photovoltaic power generation and then promote sustainable development capability. The concept of “comprehensive efficiency” is proposed in this paper on the basis of the resource development of solar energy and exploitation of photovoltaic power generation. A system dynamics model is used to study the conduction mechanism of the comprehensive efficiency of photovoltaic power generation. This paper collects data from 2005 to 2015 as research models, establishes the evaluation model of the comprehensive efficiency of photovoltaic power generation and conducts empirical analysis based on a super-efficient data envelopment analysis (SE-DEA) model. With the evaluation results, this paper puts forward political suggestions as to the optimization of the comprehensive efficiency of photovoltaic power generation. The research results may provide policy-oriented references on the sustainable development of photovoltaic power generation and give theoretical guidance on the scientific evaluation and diagnosis of photovoltaic power generation efficiency. |
| Druh dokumentu: | article in journal/newspaper |
| Jazyk: | English |
| Relation: | http://www.mdpi.com/1996-1073/10/5/723; https://doaj.org/toc/1996-1073; https://doaj.org/article/dabe7a3b54c846fc9f8c2e2948c50aec |
| DOI: | 10.3390/en10050723 |
| Dostupnosť: | https://doi.org/10.3390/en10050723 https://doaj.org/article/dabe7a3b54c846fc9f8c2e2948c50aec |
| Prístupové číslo: | edsbas.C20B5183 |
| Databáza: | BASE |
| Abstrakt: | In the context of the global potential energy crisis and aggravating regional environmental pollution, Chinese photovoltaic power generation still faces the key problems of sustainable development, even given its favorable background in large-scale exploitation. Scientific evaluation of the comprehensive efficiency of photovoltaic power generation is of great significance because it will improve investment decision-making and enhance management level, evaluate the development conditions of photovoltaic power generation and then promote sustainable development capability. The concept of “comprehensive efficiency” is proposed in this paper on the basis of the resource development of solar energy and exploitation of photovoltaic power generation. A system dynamics model is used to study the conduction mechanism of the comprehensive efficiency of photovoltaic power generation. This paper collects data from 2005 to 2015 as research models, establishes the evaluation model of the comprehensive efficiency of photovoltaic power generation and conducts empirical analysis based on a super-efficient data envelopment analysis (SE-DEA) model. With the evaluation results, this paper puts forward political suggestions as to the optimization of the comprehensive efficiency of photovoltaic power generation. The research results may provide policy-oriented references on the sustainable development of photovoltaic power generation and give theoretical guidance on the scientific evaluation and diagnosis of photovoltaic power generation efficiency. |
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| DOI: | 10.3390/en10050723 |
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