03820nam a22005415i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001400172072001600186072001700202072002300219072001500242072001600257100008800273245013200361250001800493264006900511300006400580336002600644337002600670338003600696347002400732490008800756505048100844520132101325650003202646650003102678650003802709650002302747650005202770650005202822650002502874650002402899710003402923773002602957776003602983776003603019776003603055830009503091856004603186912001403232912001503246999001703261978-3-031-52219-2DE-He21320251030111733.0cr nn 008mamaa240320s2024 sz | s |||| 0|eng d a97830315221929978-3-031-52219-27 a10.1007/978-3-031-52219-22doi 4aT57.6-.97 7aKJT2bicssc 7aKJMD2bicssc 7aBUS0490002bisacsh 7aKJT2thema 7aKJMD2thema1 aBorissova, Daniela.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut97351010aDecision-Making in Design, Maintenance, Planning, and Investment of Wind Energyh[electronic resource] /cby Daniela Borissova. a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024. aXV, 280 p. 97 illus., 93 illus. in color.bonline resource. atextbtxt2rdacontent acomputerbc2rdamedia aonline resourcebcr2rdacarrier atext filebPDF2rda1 aInternational Series in Operations Research & Management Science,x2214-7934 ;v3550 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. 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. 0aOperations research.957943 0aManagement science.957941 0aMathematical optimization.965522 0aWind power.96567414aOperations Research and Decision Theory.96714324aOperations Research, Management Science.96552724aOptimization.96552824aWind Energy.9656772 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303152218508iPrinted edition:z978303152220808iPrinted edition:z9783031522215 0aInternational Series in Operations Research & Management Science,x2214-7934 ;v35596948040uhttps://doi.org/10.1007/978-3-031-52219-2 aZDB-2-BUM aZDB-2-SXBM c58499d58499