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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...
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Published in: | International journal of photoenergy 2014-01, Vol.2014 (2014), p.1-9 |
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container_end_page | 9 |
container_issue | 2014 |
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container_title | International journal of photoenergy |
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creator | Chen, Chao-Rong Tsuei, Hung-Jia Huang, Chi-Chen |
description | 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. |
doi_str_mv | 10.1155/2014/925370 |
format | article |
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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 |
title | A Hybrid MCDM Model for Improving GIS-Based Solar Farms Site Selection |
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