Optimization and Decision-Making in the Renewable Energy Industry - Couverture rigide

 
9781668424728: Optimization and Decision-Making in the Renewable Energy Industry

Synopsis

With immense consumption of resources, increased global warming, and environmental pollution, the energy sector has inevitably embraced sustainability. Countries are releasing plans and programs to shift their fossil fuel-dependent energy sectors into clean energy sectors, and projections show that renewable energy will be a significant part of nations' energy mixes in the near future. Optimization and decision-making techniques have been commonly used in the energy sector as problems encountered in this sector are complex and therefore need comprehensive techniques to solve them. With the uncertainty and high-cost issues of renewable resources, the complexity increases in the sector and requires optimization and decision-making techniques. Optimization and Decision-Making in the Renewable Energy Industry analyzes renewable energy sources using current mathematical methods and techniques and provides advanced knowledge on key opportunities and challenges. The book discusses current and trending mathematical methods, tests their validity and verification, and considers their practical application in the field. Covering topics such as urban sustainability and renewable energy systems, this reference work is ideal for practitioners, academicians, industry professionals, researchers, scholars, instructors, and students.

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À propos de l?auteur

Figen Balo, Wollega University, Ethiopia

Ay?e Topal, Nigde Omer Halisdemir University, Turkey

Ezgi Demir, Piri Reis University, Turkey

Alptekin Uluta?, Sivas Cumhuriyet University, Turkey

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9781668424735: Optimization and Decision-making in the Renewable Energy Industry

Edition présentée

ISBN 10 :  1668424738 ISBN 13 :  9781668424735
Editeur : Engineering Science Reference, 2022
Couverture souple