LEADER 03928nam 22006495 450 001 9910845492003321 005 20250415230146.0 010 $a9783031522192 010 $a3031522192 024 7 $a10.1007/978-3-031-52219-2 035 $a(MiAaPQ)EBC31224712 035 $a(Au-PeEL)EBL31224712 035 $a(CKB)31051550900041 035 $a(DE-He213)978-3-031-52219-2 035 $a(EXLCZ)9931051550900041 100 $a20240320d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDecision-Making in Design, Maintenance, Planning, and Investment of Wind Energy /$fby Daniela Borissova 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (291 pages) 225 1 $aInternational Series in Operations Research & Management Science,$x2214-7934 ;$v355 311 08$a9783031522185 311 08$a3031522184 320 $aIncludes bibliographical references. 327 $aGeneral 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. 330 $aThis book demonstrates how decision-making models can be applied to solve specific real-life problems, with a particular emphasis on wind energy. In a step-by-step manner, it guides the reader through decision-making, the formulation of optimization models, and the methods for solving them. After providing an overview of various models for the design of wind farms, it presents an optimization model for deciding which economy (country) to invest in and models for selecting suppliers. A dedicated chapter focuses on different models for monitoring and predictive maintenance for wind turbines (farms) due to the construction of turbine blades and vibration. It shows how combinatorial optimization models can help to make optimal decisions for one-dimensional cutting stock of blanks, their processing, and determining the optimal composition for production. Moreover, it discusses how the energy consumption balance index formed by conventional and renewable sources can be determined and presents a means of identifying the relative share of wind energy consumption among the other renewable sources. Operations research professionals, students, and decision-makers alike will find this book to be a valuable resource for tackling real-world challenges and driving sustainable advances in wind energy solutions. 410 0$aInternational Series in Operations Research & Management Science,$x2214-7934 ;$v355 606 $aOperations research 606 $aManagement science 606 $aMathematical optimization 606 $aWind power 606 $aOperations Research and Decision Theory 606 $aOperations Research, Management Science 606 $aOptimization 606 $aWind Energy 615 0$aOperations research. 615 0$aManagement science. 615 0$aMathematical optimization. 615 0$aWind power. 615 14$aOperations Research and Decision Theory. 615 24$aOperations Research, Management Science. 615 24$aOptimization. 615 24$aWind Energy. 676 $a621.312136 700 $aBorissova$b Daniela$01734329 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910845492003321 996 $aDecision-Making in Design, Maintenance, Planning, and Investment of Wind Energy$94151177 997 $aUNINA