Decision Support Model for Optimal Design of Wind Technologies Based Techno–Economic Approach

This paper aims to propose a practical decision support model for the optimal design of future wind turbines based on available wind potential on the site of interest. A developed decision support model based a comprehensive wind turbine modeling and a constrained techno-economic optimization framew...

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Autores principales:	Fatima-Azahraa Bourhim, Samir Berrhazi, Ahmed Ouammi, Rachid Benchrifa
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Decision framework levelized cost of energy production (LCOE) net present value (NPV) optimization wind turbine design Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/3ea6a949fb0f466ca169c416b8b75bd3
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id	oai:doaj.org-article:3ea6a949fb0f466ca169c416b8b75bd3
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spelling	oai:doaj.org-article:3ea6a949fb0f466ca169c416b8b75bd32021-11-18T00:07:29ZDecision Support Model for Optimal Design of Wind Technologies Based Techno–Economic Approach2169-353610.1109/ACCESS.2021.3123561https://doaj.org/article/3ea6a949fb0f466ca169c416b8b75bd32021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9591606/https://doaj.org/toc/2169-3536This paper aims to propose a practical decision support model for the optimal design of future wind turbines based on available wind potential on the site of interest. A developed decision support model based a comprehensive wind turbine modeling and a constrained techno-economic optimization framework is presented. Optimization was subject to the Net Present Value (<italic>NPV</italic>) maximization of the net incomes from wind energy generation, under the constraints on wind turbine nominal power restriction and the maximum ratio permitted between the rotor diameter and tower hub height. Optimizations of rotor diameter and tower height sizing have direct impacts on energy and cost production, those parameters have been considered as the design variables. The optimal design selection considers: the nominal power, rotor diameter, and tower hub height, which led to the maximum <italic>NPV</italic> in a specific site. Furthermore, an analysis of the Levelized Cost of Energy production (<italic>LCOE</italic>) has been performed. The developed decision support model has been tested and applied to a case study to validate its application and performance. The developed model was verified and significant results were achieved using three different wind sites: Dakhla, Casablanca, and Tanger. Results showed that the optimal design of the wind turbine technologies is given by the limit conditions cited, conducting to the maximum <italic>NPV</italic> with low <italic>LCOE</italic> and more exploitation of available wind potential in Dakhla and Tanger; however Casablanca was found as no profitable site for wind projects presenting negative <italic>NPV</italic>.Fatima-Azahraa BourhimSamir BerrhaziAhmed OuammiRachid BenchrifaIEEEarticleDecision frameworklevelized cost of energy production (LCOE)net present value (NPV)optimizationwind turbine designElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 148264-148276 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Decision framework levelized cost of energy production (LCOE) net present value (NPV) optimization wind turbine design Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Decision framework levelized cost of energy production (LCOE) net present value (NPV) optimization wind turbine design Electrical engineering. Electronics. Nuclear engineering TK1-9971 Fatima-Azahraa Bourhim Samir Berrhazi Ahmed Ouammi Rachid Benchrifa Decision Support Model for Optimal Design of Wind Technologies Based Techno–Economic Approach
description	This paper aims to propose a practical decision support model for the optimal design of future wind turbines based on available wind potential on the site of interest. A developed decision support model based a comprehensive wind turbine modeling and a constrained techno-economic optimization framework is presented. Optimization was subject to the Net Present Value (<italic>NPV</italic>) maximization of the net incomes from wind energy generation, under the constraints on wind turbine nominal power restriction and the maximum ratio permitted between the rotor diameter and tower hub height. Optimizations of rotor diameter and tower height sizing have direct impacts on energy and cost production, those parameters have been considered as the design variables. The optimal design selection considers: the nominal power, rotor diameter, and tower hub height, which led to the maximum <italic>NPV</italic> in a specific site. Furthermore, an analysis of the Levelized Cost of Energy production (<italic>LCOE</italic>) has been performed. The developed decision support model has been tested and applied to a case study to validate its application and performance. The developed model was verified and significant results were achieved using three different wind sites: Dakhla, Casablanca, and Tanger. Results showed that the optimal design of the wind turbine technologies is given by the limit conditions cited, conducting to the maximum <italic>NPV</italic> with low <italic>LCOE</italic> and more exploitation of available wind potential in Dakhla and Tanger; however Casablanca was found as no profitable site for wind projects presenting negative <italic>NPV</italic>.
format	article
author	Fatima-Azahraa Bourhim Samir Berrhazi Ahmed Ouammi Rachid Benchrifa
author_facet	Fatima-Azahraa Bourhim Samir Berrhazi Ahmed Ouammi Rachid Benchrifa
author_sort	Fatima-Azahraa Bourhim
title	Decision Support Model for Optimal Design of Wind Technologies Based Techno–Economic Approach
title_short	Decision Support Model for Optimal Design of Wind Technologies Based Techno–Economic Approach
title_full	Decision Support Model for Optimal Design of Wind Technologies Based Techno–Economic Approach
title_fullStr	Decision Support Model for Optimal Design of Wind Technologies Based Techno–Economic Approach
title_full_unstemmed	Decision Support Model for Optimal Design of Wind Technologies Based Techno–Economic Approach
title_sort	decision support model for optimal design of wind technologies based techno–economic approach
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/3ea6a949fb0f466ca169c416b8b75bd3
work_keys_str_mv	AT fatimaazahraabourhim decisionsupportmodelforoptimaldesignofwindtechnologiesbasedtechnox2013economicapproach AT samirberrhazi decisionsupportmodelforoptimaldesignofwindtechnologiesbasedtechnox2013economicapproach AT ahmedouammi decisionsupportmodelforoptimaldesignofwindtechnologiesbasedtechnox2013economicapproach AT rachidbenchrifa decisionsupportmodelforoptimaldesignofwindtechnologiesbasedtechnox2013economicapproach
_version_	1718425219670999040

Decision Support Model for Optimal Design of Wind Technologies Based Techno&#x2013;Economic Approach

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