English | 2024 | Original PDF | 11 MB | 291 Pages
Daniela Borissova, B0CQZGHWS9, 3031522184, 9783031522185, 9783031522192, 978-3031522185, 978-3031522192
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.
