In recent years the concept of energy has been revised and a new
model based on the principle of sustainability has become more and
more pervasive. The appraisal of energy technologies and projects
is complex and uncertain as the related decision making has to
encompass environmental, technical, economic and social factors and
information sources. The scientific procedure of assessment has a
vital role as it can supply the right tools to evaluate the actual
situation and make realistic forecasts of the effects and outcomes
of any actions undertaken. "Assessment and Simulation Tools for
Sustainable Energy Systems" offers reviews of the main assessment
and simulation methods used for effective energy assessment.
Divided across three sections, "Assessment and Simulation Tools
for Sustainable Energy Systems" develops the reader s ability to
select suitable tools to support decision making and implementation
of sustainable energy projects. The first is dedicated to the
analysis of theoretical foundations and applications of
multi-criteria decision making. This is followed by chapters
concentrating on the theory and practice of fuzzy inference, neural
nets and algorithms genetics. Finally, simulation methods such as
Monte Carlo analysis, mathematical programming and others are
detailed.
This comprehensive illustration of these tools and their
application makes "Assessment and Simulation Tools for Sustainable
Energy Systems" a key guide for researchers, scientists, managers,
politicians and industry professionals developing the field of
sustainable energy systems. It may also prompt further advancements
in soft computing and simulation issues for students and
researchers."
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