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

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 la...

Full description

Saved in:
Bibliographic Details
Published in:International journal of photoenergy 2014-01, Vol.2014 (2014), p.1-9
Main Authors: Chen, Chao-Rong, Tsuei, Hung-Jia, Huang, Chi-Chen
Format: Article
Language:English
Subjects:
Alternative energy sources
Climate
Criteria
Decision making
Electricity generation
Farms
Geographic information systems
Methods
Networks
Performance enhancement
Power plants
Satellite navigation systems
Site selection
Solar energy
Solar farms
Studies
Villages
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1110-662X
1687-529X
DOI:10.1155/2014/925370