Application of Fuzzy Goal Programming to Wind Turbine Selection with Multiple Criteria - A Study of Three Potential Sites in Saudi Arabia

Shafiqur Rehman; Salman A. Khan

doi:10.1109/IIAI-AAI.2017.22

Application of Fuzzy Goal Programming to Wind Turbine Selection with Multiple Criteria - A Study of Three Potential Sites in Saudi Arabia

Shafiqur Rehman
, Salman A. Khan

Interdisciplinary Research Center for Sustainable Energy Systems

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

5 Scopus citations

Abstract

Wind energy has become an attractive alternative to satisfy the ever-growing energy demands worldwide. One important factor that contributes to efficient energy harnessing from a wind farm is the selection of appropriate wind turbines for a specific site. This paper addresses this important issue through a goal programming based multi-criteria wind turbine selection approach. The approach considers four decision criteria in the selection process which are hub height, wind speed, zero output percentage, and rated output percentage. The four criteria are aggregated into a scalar decision function developed using goal programming. The approach is then applied to selection of turbines for three potential wind farm sites, namely, Dhulom, Qassim, and Rawdat ben Habbas, all located in Saudi Arabia. Furthermore, seven different turbine types are used in the selection process. Results indicate that turbine Fuhrlder FL 600 model is the most suitable choice for all three sites.

Original language	English
Title of host publication	Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017
Editors	Kiyota Hashimoto, Naoki Fukuta, Tokuro Matsuo, Sachio Hirokawa, Masao Mori, Masao Mori
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	853-857
Number of pages	5
ISBN (Electronic)	9781538606216
DOIs	https://doi.org/10.1109/IIAI-AAI.2017.22
State	Published - 15 Nov 2017

Publication series

Name	Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Fuzzy logic
Goal programming
Multi-criteria decision-making
Wind turbine selection

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Information Systems
Information Systems and Management

Access to Document

10.1109/IIAI-AAI.2017.22

Cite this

Rehman, S., & Khan, S. A. (2017). Application of Fuzzy Goal Programming to Wind Turbine Selection with Multiple Criteria - A Study of Three Potential Sites in Saudi Arabia. In K. Hashimoto, N. Fukuta, T. Matsuo, S. Hirokawa, M. Mori, & M. Mori (Eds.), Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017 (pp. 853-857). Article 8113362 (Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2017.22

Rehman, Shafiqur ; Khan, Salman A. / Application of Fuzzy Goal Programming to Wind Turbine Selection with Multiple Criteria - A Study of Three Potential Sites in Saudi Arabia. Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017. editor / Kiyota Hashimoto ; Naoki Fukuta ; Tokuro Matsuo ; Sachio Hirokawa ; Masao Mori ; Masao Mori. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 853-857 (Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017).

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title = "Application of Fuzzy Goal Programming to Wind Turbine Selection with Multiple Criteria - A Study of Three Potential Sites in Saudi Arabia",

abstract = "Wind energy has become an attractive alternative to satisfy the ever-growing energy demands worldwide. One important factor that contributes to efficient energy harnessing from a wind farm is the selection of appropriate wind turbines for a specific site. This paper addresses this important issue through a goal programming based multi-criteria wind turbine selection approach. The approach considers four decision criteria in the selection process which are hub height, wind speed, zero output percentage, and rated output percentage. The four criteria are aggregated into a scalar decision function developed using goal programming. The approach is then applied to selection of turbines for three potential wind farm sites, namely, Dhulom, Qassim, and Rawdat ben Habbas, all located in Saudi Arabia. Furthermore, seven different turbine types are used in the selection process. Results indicate that turbine Fuhrlder FL 600 model is the most suitable choice for all three sites.",

keywords = "Fuzzy logic, Goal programming, Multi-criteria decision-making, Wind turbine selection",

author = "Shafiqur Rehman and Khan, \{Salman A.\}",

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Rehman, S & Khan, SA 2017, Application of Fuzzy Goal Programming to Wind Turbine Selection with Multiple Criteria - A Study of Three Potential Sites in Saudi Arabia. in K Hashimoto, N Fukuta, T Matsuo, S Hirokawa, M Mori & M Mori (eds), Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017., 8113362, Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017, Institute of Electrical and Electronics Engineers Inc., pp. 853-857. https://doi.org/10.1109/IIAI-AAI.2017.22

Application of Fuzzy Goal Programming to Wind Turbine Selection with Multiple Criteria - A Study of Three Potential Sites in Saudi Arabia. / Rehman, Shafiqur; Khan, Salman A.
Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017. ed. / Kiyota Hashimoto; Naoki Fukuta; Tokuro Matsuo; Sachio Hirokawa; Masao Mori; Masao Mori. Institute of Electrical and Electronics Engineers Inc., 2017. p. 853-857 8113362 (Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017).

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

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N2 - Wind energy has become an attractive alternative to satisfy the ever-growing energy demands worldwide. One important factor that contributes to efficient energy harnessing from a wind farm is the selection of appropriate wind turbines for a specific site. This paper addresses this important issue through a goal programming based multi-criteria wind turbine selection approach. The approach considers four decision criteria in the selection process which are hub height, wind speed, zero output percentage, and rated output percentage. The four criteria are aggregated into a scalar decision function developed using goal programming. The approach is then applied to selection of turbines for three potential wind farm sites, namely, Dhulom, Qassim, and Rawdat ben Habbas, all located in Saudi Arabia. Furthermore, seven different turbine types are used in the selection process. Results indicate that turbine Fuhrlder FL 600 model is the most suitable choice for all three sites.

AB - Wind energy has become an attractive alternative to satisfy the ever-growing energy demands worldwide. One important factor that contributes to efficient energy harnessing from a wind farm is the selection of appropriate wind turbines for a specific site. This paper addresses this important issue through a goal programming based multi-criteria wind turbine selection approach. The approach considers four decision criteria in the selection process which are hub height, wind speed, zero output percentage, and rated output percentage. The four criteria are aggregated into a scalar decision function developed using goal programming. The approach is then applied to selection of turbines for three potential wind farm sites, namely, Dhulom, Qassim, and Rawdat ben Habbas, all located in Saudi Arabia. Furthermore, seven different turbine types are used in the selection process. Results indicate that turbine Fuhrlder FL 600 model is the most suitable choice for all three sites.

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Rehman S, Khan SA. Application of Fuzzy Goal Programming to Wind Turbine Selection with Multiple Criteria - A Study of Three Potential Sites in Saudi Arabia. In Hashimoto K, Fukuta N, Matsuo T, Hirokawa S, Mori M, Mori M, editors, Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 853-857. 8113362. (Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017). doi: 10.1109/IIAI-AAI.2017.22

Application of Fuzzy Goal Programming to Wind Turbine Selection with Multiple Criteria - A Study of Three Potential Sites in Saudi Arabia

Abstract

Publication series

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

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