Ghasemi, Golara, Noorollahi, Younes, Alavi, Hamed, Marzband, Mousa and Shahbazi, Mahmoud (2019) Theoretical and technical potential evaluation of solar power generation in Iran. Renewable Energy, 138. pp. 1250-1261. ISSN 0960-1481
|
Text
Ghasemi AAM.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (3MB) | Preview |
Abstract
Nowadays, utilizing solar energy for power production at high efficiency and in a cost-effective status is a challenging issue for power plant engineers. This challenge would be answered by considering several affecting parameters such as technical, economic, and environmental criteria. In this investigation, in order to provide an assessment for implementing solar power plants in the southeast of Iran, Sistan and Baluchistan province, a multi-criteria decision making (MCDM) approach is linked to a geographic information system (GIS). The MCDM approach is used to appraise the effective criteria for implementing solar power plants. The environment, orography, economic and climate are selected as the important criteria. Each criterion is assessed for the defined location of the investigation (Sistan and Baluchistan province) and in addition, GIS is employed to provide a geographical-graphical valuation to determine the most appropriate place for installing a large-scale solar power production plant. The solar systems considered in this study are photovoltaic (PV) collectors and concentrated solar power (CSP) generation plants (e.g. solar trough collectors). Technical and theoretical valuations are made to specify the amount of solar power which can be harnessed in Sistan and Baluchistan. In overall, it is demonstrated that this specific location in the southeast of Iran has the technical potential to provide 7,419 TWh/y and 8,758 TWh/y of solar electricity by installing CSP and PV technologies, respectively.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Multi-criteria decision making, Potential study, Solar power generation, Geographic information system |
| Subjects: | H800 Chemical, Process and Energy Engineering |
| Department: | Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering |
| Depositing User: | Becky Skoyles |
| Date Deposited: | 18 Feb 2019 09:32 |
| Last Modified: | 31 Jul 2021 19:49 |
| URI: | http://nrl.northumbria.ac.uk/id/eprint/38054 |
Actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
