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International Journal of Photoenergy
Volume 2014, Article ID 925370, 9 pages
http://dx.doi.org/10.1155/2014/925370
Research Article

A Hybrid MCDM Model for Improving GIS-Based Solar Farms Site Selection

1Department of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
2Department of Electronic Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
3Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei 10617, Taiwan

Received 16 May 2014; Revised 16 July 2014; Accepted 16 July 2014; Published 20 August 2014

Academic Editor: Ching-Song Jwo

Copyright © 2014 Chao-Rong Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The purpose of this research is to establish a decision model for improving the performance of solar farms. To investigate the interdependent interrelationship and influential weights among criteria for solar farms site selection, a hybrid MCDM model including decision-making trial and evaluation laboratory (DEMATEL) and DEMATEL-based analytic network process (DANP) based on geographical information systems (GIS) is utilized. The empirical results display that there are interdependence and self-effect relationships among criteria via DEMATEL technique. According to the influential network relation map (INRM), the dimension that administrators of solar energy industry should improve first when enhancing the performance of solar farms is orography. In the ten criteria, solar radiation is the most important criterion impacting solar farms site selection, followed by average temperature and distance to villages.