Siting of large PV farms in Al-Batinah region of Oman

Adel Gastli; Yassine Charabi

doi:10.1109/ENERGYCON.2010.5771742

Siting of large PV farms in Al-Batinah region of Oman

Adel Gastli^*, Yassine Charabi

^*Corresponding author for this work

Geography

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Citations (Scopus)

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	https://doi.org/10.1109/ENERGYCON.2010.5771742
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

ASJC Scopus subject areas

Energy Engineering and Power Technology

Access to Document

10.1109/ENERGYCON.2010.5771742

Fingerprint Dive into the research topics of 'Siting of large PV farms in Al-Batinah region of Oman'. Together they form a unique fingerprint.

Cite this

@inproceedings{a909fd02c1fd4c859b463303d81fd796,

title = "Siting of large PV farms in Al-Batinah region of Oman",

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.",

author = "Adel Gastli and Yassine Charabi",

year = "2010",

doi = "10.1109/ENERGYCON.2010.5771742",

language = "English",

isbn = "9781424493807",

pages = "548--552",

booktitle = "2010 IEEE International Energy Conference and Exhibition, EnergyCon 2010",

note = "2010 IEEE International Energy Conference and Exhibition, EnergyCon 2010 ; Conference date: 18-12-2010 Through 22-12-2010",

}

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

T2 - 2010 IEEE International Energy Conference and Exhibition, EnergyCon 2010

Y2 - 18 December 2010 through 22 December 2010

ER -