Wind farm land suitability indexing using multi-criteria analysis

Sultan Al-Yahyai, Yassine Charabi, Adel Gastli, Abdullah Al-Badi

Research output: Contribution to journalArticle

80 Citations (Scopus)

Abstract

Wind farm siting can be considered as Multi Criteria Decision Making (MCDM) problem that consists of set of alternative locations and set of selection criteria. This study applied multi-criteria decision making approach using Analytical Hierarchy Process with Ordered Weigh Averaging AHP-OWA aggregation function to derive wind farm land suitability index and classification under Geographical Information System (GIS) environment. Linguistic quantifier's version of AHP-OWA aggregation function was used to classify lands based on their suitability for wind farm installation. Different selection criteria were considered including economical (distance to road, terrain slope), social (urban area), environmental (historical locations, wildlife and natural reserves) and technical (wind power density, energy demand matching, percentage of sustainable wind, turbulence intensity, sand dunes). A case study of the proposed approach is implemented and presented for Oman.

Original languageEnglish
Pages (from-to)80-87
Number of pages8
JournalRenewable Energy
Volume44
DOIs
Publication statusPublished - Aug 2012

Fingerprint

Farms
Agglomeration
Decision making
Linguistics
Wind power
Information systems
Turbulence
Sand

Keywords

  • AHP-OWA
  • Indexing
  • Land suitability
  • Multi-criteria
  • Wind energy

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

Cite this

Wind farm land suitability indexing using multi-criteria analysis. / Al-Yahyai, Sultan; Charabi, Yassine; Gastli, Adel; Al-Badi, Abdullah.

In: Renewable Energy, Vol. 44, 08.2012, p. 80-87.

Research output: Contribution to journalArticle

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