Abstract
This paper presents the results of a research study conducted on solar energy resource assessment for Al-Batinah region in Oman. GIS-based spatial multi-criteria evaluation approach, in terms of the FLOWA module was used to assess the land suitability for large PV farms implementation in Oman. The tool used applies fuzzy quantifiers within ArcGIS environment allowing the integration of a multi-criteria decision analysis. Land suitability analysis for large PV farms implementation was carried out for the case study of Al-Batinah region in Oman. The highly suitable land areas exceeding 2.5km2 of minimum surface were selected. Different PV technologies were considered for implementation in the selected areas. It was found that PV technologies provide very high technical potential for implementing large solar plants. In fact, if all highly suitable land is completely exploited for CPV implementation, it can produce almost 24.5 times the present total electric energy demand in Oman.
| Original language | English |
|---|---|
| Title of host publication | 2010 IEEE International Energy Conference and Exhibition, EnergyCon 2010 |
| Pages | 548-552 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 2010 IEEE International Energy Conference and Exhibition, EnergyCon 2010 - Manama, Bahrain Duration: Dec 18 2010 → Dec 22 2010 |
Other
| Other | 2010 IEEE International Energy Conference and Exhibition, EnergyCon 2010 |
|---|---|
| Country | Bahrain |
| City | Manama |
| Period | 12/18/10 → 12/22/10 |
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ASJC Scopus subject areas
- Energy Engineering and Power Technology
Cite this
Siting of large PV farms in Al-Batinah region of Oman. / Gastli, Adel; Charabi, Yassine.
2010 IEEE International Energy Conference and Exhibition, EnergyCon 2010. 2010. p. 548-552 5771742.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Siting of large PV farms in Al-Batinah region of Oman
AU - Gastli, Adel
AU - Charabi, Yassine
PY - 2010
Y1 - 2010
N2 - This paper presents the results of a research study conducted on solar energy resource assessment for Al-Batinah region in Oman. GIS-based spatial multi-criteria evaluation approach, in terms of the FLOWA module was used to assess the land suitability for large PV farms implementation in Oman. The tool used applies fuzzy quantifiers within ArcGIS environment allowing the integration of a multi-criteria decision analysis. Land suitability analysis for large PV farms implementation was carried out for the case study of Al-Batinah region in Oman. The highly suitable land areas exceeding 2.5km2 of minimum surface were selected. Different PV technologies were considered for implementation in the selected areas. It was found that PV technologies provide very high technical potential for implementing large solar plants. In fact, if all highly suitable land is completely exploited for CPV implementation, it can produce almost 24.5 times the present total electric energy demand in Oman.
AB - This paper presents the results of a research study conducted on solar energy resource assessment for Al-Batinah region in Oman. GIS-based spatial multi-criteria evaluation approach, in terms of the FLOWA module was used to assess the land suitability for large PV farms implementation in Oman. The tool used applies fuzzy quantifiers within ArcGIS environment allowing the integration of a multi-criteria decision analysis. Land suitability analysis for large PV farms implementation was carried out for the case study of Al-Batinah region in Oman. The highly suitable land areas exceeding 2.5km2 of minimum surface were selected. Different PV technologies were considered for implementation in the selected areas. It was found that PV technologies provide very high technical potential for implementing large solar plants. In fact, if all highly suitable land is completely exploited for CPV implementation, it can produce almost 24.5 times the present total electric energy demand in Oman.
UR - http://www.scopus.com/inward/record.url?scp=79958263598&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79958263598&partnerID=8YFLogxK
U2 - 10.1109/ENERGYCON.2010.5771742
DO - 10.1109/ENERGYCON.2010.5771742
M3 - Conference contribution
AN - SCOPUS:79958263598
SN - 9781424493807
SP - 548
EP - 552
BT - 2010 IEEE International Energy Conference and Exhibition, EnergyCon 2010
ER -