A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: The case study of Nigeria. (15th October 2018)
- Record Type:
- Journal Article
- Title:
- A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: The case study of Nigeria. (15th October 2018)
- Main Title:
- A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: The case study of Nigeria
- Authors:
- Ayodele, T.R.
Ogunjuyigbe, A.S.O.
Odigie, O.
Munda, J.L. - Abstract:
- Highlights: GIS-based model using Interval Type-2-Fuzzy AHP is proposed for wind farm site suitability analysis. The model takes into account the economic, social & environmental factors. Northern part of Nigeria is favourable for wind farm location due to good wind resource. Kano state has the highest numbers of suitable sites in Nigeria. 42% of the total land mass in the country is suitable for wind farm development. Abstract: The development of wind farm projects requires proper planning and evaluation. Most often, the suitability of locations for siting wind farms is based on the wind resource (i.e. wind speeds) of a location. However, other criteria such as environmental, economic, and social factors are also important during the planning stage at arriving at a robust wind farm siting decision. In this paper, a geographic information system-based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process is proposed and implemented to determine the suitable wind farm sites in Nigeria. The model focuses on the use of fuzzy sets to represent expert's linguistic judgement with the aim of addressing the issues of uncertainty, vagueness and inconsistency in wind farm site selection decision making. The model uses two sets of criteria (weighted and constraint) which are either economic, social, or environmental in evaluating the suitable sites for wind farm development. The results of the study revealed that the best sites for wind farmHighlights: GIS-based model using Interval Type-2-Fuzzy AHP is proposed for wind farm site suitability analysis. The model takes into account the economic, social & environmental factors. Northern part of Nigeria is favourable for wind farm location due to good wind resource. Kano state has the highest numbers of suitable sites in Nigeria. 42% of the total land mass in the country is suitable for wind farm development. Abstract: The development of wind farm projects requires proper planning and evaluation. Most often, the suitability of locations for siting wind farms is based on the wind resource (i.e. wind speeds) of a location. However, other criteria such as environmental, economic, and social factors are also important during the planning stage at arriving at a robust wind farm siting decision. In this paper, a geographic information system-based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process is proposed and implemented to determine the suitable wind farm sites in Nigeria. The model focuses on the use of fuzzy sets to represent expert's linguistic judgement with the aim of addressing the issues of uncertainty, vagueness and inconsistency in wind farm site selection decision making. The model uses two sets of criteria (weighted and constraint) which are either economic, social, or environmental in evaluating the suitable sites for wind farm development. The results of the study revealed that the best sites for wind farm development are basically located in the Northern part of Nigeria with Bauchi, Jigawa, Kaduna, Kano, Katsina, Plateau, and Sokoto states being the most suitable locations for wind farm projects. The suitable area for locating wind farm in the country is evaluated to be approximately 125728.6 km 2, out of which about 2650.1 km 2 are considered to be extremely suitable for siting a wind farm. This paper could serve as a first-hand scientific information for decision makers and planners in selecting the optimal suitable site for wind farm development. Although, Nigeria is considered as the case study, the methodology can be severally applied to any region in the world. … (more)
- Is Part Of:
- Applied energy. Volume 228(2018)
- Journal:
- Applied energy
- Issue:
- Volume 228(2018)
- Issue Display:
- Volume 228, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 228
- Issue:
- 2018
- Issue Sort Value:
- 2018-0228-2018-0000
- Page Start:
- 1853
- Page End:
- 1869
- Publication Date:
- 2018-10-15
- Subjects:
- Wind farm -- GIS-based model -- Site selection -- Interval type-2 fuzzy AHP -- Spatial analysis -- Nigeria
Power (Mechanics) -- Periodicals
Energy conservation -- Periodicals
Energy conversion -- Periodicals
621.042 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03062619 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.apenergy.2018.07.051 ↗
- Languages:
- English
- ISSNs:
- 0306-2619
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1572.300000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20972.xml