![](/images/graphics-bg.png)
A Hybrid MCDM Model for Improving GIS-Based Solar Farms Site Selection
Joint Authors
Huang, Chi-Chen
Tsuei, Hung-Jia
Chen, Chao-Rong
Source
International Journal of Photoenergy
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-20
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Chen, Chao-Rong& Huang, Chi-Chen& Tsuei, Hung-Jia. 2014. A Hybrid MCDM Model for Improving GIS-Based Solar Farms Site Selection. International Journal of Photoenergy،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1037413
Modern Language Association (MLA)
Chen, Chao-Rong…[et al.]. A Hybrid MCDM Model for Improving GIS-Based Solar Farms Site Selection. International Journal of Photoenergy No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1037413
American Medical Association (AMA)
Chen, Chao-Rong& Huang, Chi-Chen& Tsuei, Hung-Jia. A Hybrid MCDM Model for Improving GIS-Based Solar Farms Site Selection. International Journal of Photoenergy. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1037413
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1037413