基于epsilon测度模型的太阳能光伏电站运行效率测度:以越南为例

Chia-Nan Wang, Tran Quynh Le, Thanh-Tuan Dang
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摘要

由于地理位置优越,越南拥有巨大的太阳能发展潜力。近年来,越南政府一直致力于发展可再生能源。本文的目的是利用基于epsilon测度(EBM)模型的数据包络分析(DEA)来衡量太阳能光伏(PV)发电厂的运行效率。利用EBM模型的优势在于它可以将径向和非径向测量结合起来,从而更准确地估计相对效率。利用实证医学模型的优点,对越南18个决策单位(dmu)进行了案例研究。在该模型中,选取资本成本、装机容量、太阳辐照度三个输入变量,将能源产量和消费者密度作为输出变量。在此基础上,采用理想解相似性优先排序法(TOPSIS)评价结果的有效性和适用性。结果表明,两种方法达到了共同的排名,其中表现最好的dmu的优先级排名非常相似。这表明所应用的模型本质上是鲁棒的。本文为太阳能产业的经营和管理策略的决策者提供了实用和及时的解决方案,也为世界上任何其他行业的许多相关决策问题提供了重要的指导。
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Measuring operating efficiency of solar photovoltaic power plants using epsilon-based measure model: A case study in Vietnam
Vietnam has enormous potential for solar power thanks to its favorable geographical location. In recent years, the Vietnamese government has strived to develop renewable energy. The objective of this paper is to measure the operational efficiency of solar photovoltaic (PV) power plants using data envelopment analysis (DEA) with the epsilon-based measure (EBM) model. The utilization of the EBM model is due to its advantage to integrate radial and non-radial measurements to get a more exact estimate of relative efficiency. Using the merits of the EBM model, a case study of 18 decision-making units (DMUs) in Vietnam is presented. In the proposed model, three input variables are selected, which are capital cost, installed capacity, solar irradiation, while energy production and consumer density are considered as output variables. Following that, the technique for order of preference by similarity to ideal solution (TOPSIS) method is used to assess the validity and applicability of results. The results illustrate that two methods reach common rankings, in which the priority rankings of the best performing DMUs are very similar. This shows that the applied models are robust in nature. This paper offers significant materials that serve as practical and timelier solutions for decision-makers in the operating and management strategies of the solar energy industry, also a critical guideline in many related decision-making problems for any other industries around the world.
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