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DOI: 10.14569/IJACSA.2018.090440
PDF

Concentrated Solar Power Site Suitability using GIS-MCDM Technique taken UAE as a Case Study

Author 1: Mohammad Basheer Alqaderi
Author 2: Walid Emar
Author 3: Omar A. Saraereh

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 4, 2018.

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Abstract: In recent years, countries have begun to reduce the consumption of fossil fuels and replace them with renewable energy resources in order to mitigate the effects of fossil fuels on the environment and save money besides increasing energy security. This paper has investigated the suitability map for the large-scale projects in concentrated solar power (CSP) in United Arab Emirates (UAE) using GIS data and multi-criteria decision making technique (MCDM). The suitability map is composed of multi-maps (layers) of solar irradiation [Direct Normal irradiance (DNI) component], land slope, protected areas, land use, proximity to water bodies, power grid and the roads. Then, Analytic Hierarchy Process (AHP) method is applied to identify the weights of ranking criteria. The paper has highlighted the most-suitable location as well as non-suitable location among UAE to install CSP projects. The study’s results proved that UAE have multi-hotspot locations can be exploited for CSP projects.

Keywords: Analytic hierarchy process (AHP); concentrated solar power (CSP); multi-criteria decision making (MCDM); direct normal irradiance (DNI); United Arab Emirates (UAE); hot-spot locations

Mohammad Basheer Alqaderi, Walid Emar and Omar A. Saraereh, “Concentrated Solar Power Site Suitability using GIS-MCDM Technique taken UAE as a Case Study ” International Journal of Advanced Computer Science and Applications(IJACSA), 9(4), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090440

@article{Alqaderi2018,
title = {Concentrated Solar Power Site Suitability using GIS-MCDM Technique taken UAE as a Case Study },
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090440},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090440},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {4},
author = {Mohammad Basheer Alqaderi and Walid Emar and Omar A. Saraereh}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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