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

<p dir="ltr">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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Fatima-Azahraa Bourhim (16876020) (author)
مؤلفون آخرون: Samir Berrhazi (16876023) (author), Ahmed Ouammi (14151039) (author), Rachid Benchrifa (16876026) (author)
منشور في: 2021
الموضوعات:
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author Fatima-Azahraa Bourhim (16876020)
author2 Samir Berrhazi (16876023)
Ahmed Ouammi (14151039)
Rachid Benchrifa (16876026)
author2_role author
author
author
author_facet Fatima-Azahraa Bourhim (16876020)
Samir Berrhazi (16876023)
Ahmed Ouammi (14151039)
Rachid Benchrifa (16876026)
author_role author
dc.creator.none.fl_str_mv Fatima-Azahraa Bourhim (16876020)
Samir Berrhazi (16876023)
Ahmed Ouammi (14151039)
Rachid Benchrifa (16876026)
dc.date.none.fl_str_mv 2021-10-27T00:00:00Z
dc.identifier.none.fl_str_mv 10.1109/access.2021.3123561
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Decision_Support_Model_for_Optimal_Design_of_Wind_Technologies_Based_Techno_Economic_Approach/24025254
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Economics
Applied economics
Engineering
Electrical engineering
Optimization
Costs
Wind turbines
Rotors
Production
Poles and towers
Layout
Decision framework
Levelized cost of energy production (LCOE)
Net present value (NPV)
Wind turbine design
dc.title.none.fl_str_mv Decision Support Model for Optimal Design of Wind Technologies Based Techno–Economic Approach
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">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 ( NPV ) 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 NPV in a specific site. Furthermore, an analysis of the Levelized Cost of Energy production ( LCOE ) 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 NPV with low LCOE and more exploitation of available wind potential in Dakhla and Tanger; however Casablanca was found as no profitable site for wind projects presenting negative NPV.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2021.3123561" target="_blank">https://dx.doi.org/10.1109/access.2021.3123561</a></p>
eu_rights_str_mv openAccess
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identifier_str_mv 10.1109/access.2021.3123561
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/24025254
publishDate 2021
repository.mail.fl_str_mv
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spelling Decision Support Model for Optimal Design of Wind Technologies Based Techno–Economic ApproachFatima-Azahraa Bourhim (16876020)Samir Berrhazi (16876023)Ahmed Ouammi (14151039)Rachid Benchrifa (16876026)EconomicsApplied economicsEngineeringElectrical engineeringOptimizationCostsWind turbinesRotorsProductionPoles and towersLayoutDecision frameworkLevelized cost of energy production (LCOE)Net present value (NPV)Wind turbine design<p dir="ltr">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 ( NPV ) 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 NPV in a specific site. Furthermore, an analysis of the Levelized Cost of Energy production ( LCOE ) 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 NPV with low LCOE and more exploitation of available wind potential in Dakhla and Tanger; however Casablanca was found as no profitable site for wind projects presenting negative NPV.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2021.3123561" target="_blank">https://dx.doi.org/10.1109/access.2021.3123561</a></p>2021-10-27T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2021.3123561https://figshare.com/articles/journal_contribution/Decision_Support_Model_for_Optimal_Design_of_Wind_Technologies_Based_Techno_Economic_Approach/24025254CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/240252542021-10-27T00:00:00Z
spellingShingle Decision Support Model for Optimal Design of Wind Technologies Based Techno–Economic Approach
Fatima-Azahraa Bourhim (16876020)
Economics
Applied economics
Engineering
Electrical engineering
Optimization
Costs
Wind turbines
Rotors
Production
Poles and towers
Layout
Decision framework
Levelized cost of energy production (LCOE)
Net present value (NPV)
Wind turbine design
status_str publishedVersion
title 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_short 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
topic Economics
Applied economics
Engineering
Electrical engineering
Optimization
Costs
Wind turbines
Rotors
Production
Poles and towers
Layout
Decision framework
Levelized cost of energy production (LCOE)
Net present value (NPV)
Wind turbine design