Optimal Allocation of Mega-solar Power Station using Integrated Input and Output-oriented models in Data Envelopment Analysis

Abstract

In this paper, optimal allocation of mega-solar power station is studied using Data Envelopment Analysis (DEA). In Japan, A great attention is paid to natural energy. Especially, installation of a mega-solar station, which is a large photovoltaic power plant over 1MW, is beginning. In order to propose the optimal allocation, DEA method is applied in this research. Land cost, earthquake occurrence, transmission loss are used as inputs, and the amount of global solar radiation, and population density are used as outputs. The target locations are at 81 points in 5 prefectures of Chubu District in Japan. We perform ranking in consideration of input-oriented and output-oriented in BCC model, and successfully get solutions about the mega-solar optimal allocation.