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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.
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.
Sustainable Engineering for Life Tomorrow examines the future of
sustainable engineering and architecture. The contributors'
analyses of sustainable solutions, such as wind and solar power,
offer valuable insights for future policy-making, scholarship, and
the management of energy-intensive facilities.
Sustainable Engineering for Life Tomorrow examines the future of
sustainable engineering and architecture. The contributors'
analyses of sustainable solutions, such as wind and solar power,
offer valuable insights fur future policy-making, scholarship, and
the management of energy-intensive facilities.
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