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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | International Journal of Photoenergy |
| Online Access: | http://dx.doi.org/10.1155/2014/925370 |
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| _version_ | 1832552379537424384 |
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| author | Chao-Rong Chen Chi-Chen Huang Hung-Jia Tsuei |
| author_facet | Chao-Rong Chen Chi-Chen Huang Hung-Jia Tsuei |
| author_sort | Chao-Rong Chen |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-a6a75ba56bf94e9ba1ea6f510c331b8a |
| institution | Kabale University |
| issn | 1110-662X 1687-529X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Photoenergy |
| spelling | doaj-art-a6a75ba56bf94e9ba1ea6f510c331b8a2025-02-03T05:58:49ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2014-01-01201410.1155/2014/925370925370A Hybrid MCDM Model for Improving GIS-Based Solar Farms Site SelectionChao-Rong Chen0Chi-Chen Huang1Hung-Jia Tsuei2Department of Electrical Engineering, National Taipei University of Technology, Taipei 10608, TaiwanDepartment of Electrical Engineering, National Taipei University of Technology, Taipei 10608, TaiwanDepartment of Electronic Engineering, National Taipei University of Technology, Taipei 10608, TaiwanThe 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.http://dx.doi.org/10.1155/2014/925370 |
| spellingShingle | Chao-Rong Chen Chi-Chen Huang Hung-Jia Tsuei A Hybrid MCDM Model for Improving GIS-Based Solar Farms Site Selection International Journal of Photoenergy |
| title | A Hybrid MCDM Model for Improving GIS-Based Solar Farms Site Selection |
| title_full | A Hybrid MCDM Model for Improving GIS-Based Solar Farms Site Selection |
| title_fullStr | A Hybrid MCDM Model for Improving GIS-Based Solar Farms Site Selection |
| title_full_unstemmed | A Hybrid MCDM Model for Improving GIS-Based Solar Farms Site Selection |
| title_short | A Hybrid MCDM Model for Improving GIS-Based Solar Farms Site Selection |
| title_sort | hybrid mcdm model for improving gis based solar farms site selection |
| url | http://dx.doi.org/10.1155/2014/925370 |
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