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Assessment and Simulation Tools for Sustainable Energy Systems

Theory and Applications

  • Fausto Cavallaro

Part of the Green Energy and Technology book series (GREEN, volume 129)

Table of contents

  1. Front Matter
    Pages i-xxv
  2. Multi-Criteria Foundations and Applications

    1. Front Matter
      Pages 1-1
    2. Başar Öztayşi, Seda Uğurlu, Cengiz Kahraman
      Pages 55-77
    3. J. Miguel Sánchez-Lozano, M. Socorro García-Cascales, M. Teresa Lamata
      Pages 79-91
    4. Seda Uğurlu, Başar Öztayşi, Cengiz Kahraman
      Pages 107-128
    5. Özgür Kabak, Didem Cinar, Gulcin Yucel Hoge
      Pages 129-151
    6. Maria de L. Vazquez, Jean-Philippe Waaub, Adrian Ilinca
      Pages 153-182
    7. Tugrul U. Daim, Craig Kensel, Kenny Phan
      Pages 183-202
  3. Fuzzy Inference, Artificial Neural Net, Algorithm Genetics

    1. Front Matter
      Pages 203-203
    2. Evangelos Grigoroudis, Vassilis S. Kouikoglou, Yannis A. Phillis
      Pages 205-224
    3. Despina Deligiorgi, Kostas Philippopoulos, Georgios Kouroupetroglou
      Pages 247-266
    4. Maurizio Cellura, Sonia Longo, Giuseppe Marsala, Marina Mistretta, Marcello Pucci
      Pages 267-284
  4. Simulation Models and Approaches

    1. Front Matter
      Pages 309-309
    2. H. Kutay Tinç, C. Erhan Bozdağ
      Pages 311-331
    3. Cem Keskin, Umut Asan, Gulgun Kayakutlu
      Pages 357-379
    4. Serdar Baysan, Emre Cevikcan, Şule Itır Satoglu
      Pages 381-394
    5. Ayca Altay, Secil Ercan, Yasemin Ozliman
      Pages 395-422
  5. Back Matter
    Pages 423-427

About this book

Introduction

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.

Keywords

Discrete Event Simulation and Swarm Particle Optimization Energy Models and Simulations Environmental Management Multi-Criteria, Fuzzy-Sets and Algorithm Genetics Neural Nets Mathematical Programming and Monte-Carlo Analysis Sustainable Energy Approaches and Methods

Editors and affiliations

  • Fausto Cavallaro
    • 1
  1. 1.Department of Economics, Management and Society and InstitutionsUniversity of MoliseCampobassoItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-5143-2
  • Copyright Information Springer-Verlag London 2013
  • Publisher Name Springer, London
  • eBook Packages Energy
  • Print ISBN 978-1-4471-5142-5
  • Online ISBN 978-1-4471-5143-2
  • Series Print ISSN 1865-3529
  • Series Online ISSN 1865-3537
  • Buy this book on publisher's site
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