04031nam a22005895i 4500 978-3-031-52219-2 DE-He213 20251030111733.0 cr nn 008mamaa 240320s2024 sz | s |||| 0|eng d 9783031522192 978-3-031-52219-2 10.1007/978-3-031-52219-2 doi T57.6-.97 KJT bicssc KJMD bicssc BUS049000 bisacsh KJT thema KJMD thema Borissova, Daniela. author. aut http://id.loc.gov/vocabulary/relators/aut 73510 Decision-Making in Design, Maintenance, Planning, and Investment of Wind Energy [electronic resource] / by Daniela Borissova. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XV, 280 p. 97 illus., 93 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda International Series in Operations Research & Management Science, 2214-7934 ; 355 General Approaches to Decision-Making -- Decision-Making in Planning and Investing in Wind Energy -- Decision-Making in Wind Farm Design -- Decision-Making in 1D Cutting of Blanks for Wind Turbine Manufacturing and Processing Planning -- Decision-Making in Structural Health Monitoring and Predictive Maintenance of Wind Turbines -- Economics Aspects and Social Impact of Wind Energy: Determining the Cost of Wind Electricity and the Relative Share of Wind Energy Consumption. This book demonstrates how decision-making models can be applied to solve specific real-life problems, with a particular emphasis on wind energy. In a step-by-step manner, it guides the reader through decision-making, the formulation of optimization models, and the methods for solving them. After providing an overview of various models for the design of wind farms, it presents an optimization model for deciding which economy (country) to invest in and models for selecting suppliers. A dedicated chapter focuses on different models for monitoring and predictive maintenance for wind turbines (farms) due to the construction of turbine blades and vibration. It shows how combinatorial optimization models can help to make optimal decisions for one-dimensional cutting stock of blanks, their processing, and determining the optimal composition for production. Moreover, it discusses how the energy consumption balance index formed by conventional and renewable sources can be determined and presents a means of identifying the relative share of wind energy consumption among the other renewable sources. Operations research professionals, students, and decision-makers alike will find this book to be a valuable resource for tackling real-world challenges and driving sustainable advances in wind energy solutions. Operations research. 57943 Management science. 57941 Mathematical optimization. 65522 Wind power. 65674 Operations Research and Decision Theory. 67143 Operations Research, Management Science. 65527 Optimization. 65528 Wind Energy. 65677 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031522185 Printed edition: 9783031522208 Printed edition: 9783031522215 International Series in Operations Research & Management Science, 2214-7934 ; 355 69480 https://doi.org/10.1007/978-3-031-52219-2 ZDB-2-BUM ZDB-2-SXBM 58499 58499