Energy Policy Modeling in the 21st Century

  • Hassan Qudrat-Ullah

Part of the Understanding Complex Systems book series (UCS)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Energy Policy Modeling in Twenty-First Century: An Introduction

    1. Front Matter
      Pages 1-1
  3. Modeling Approaches and Energy Policy Decisions

    1. Front Matter
      Pages 15-15
    2. Erik R. Larsen, Santiago Arango
      Pages 17-30
    3. Matthias Otto Müller, Ruth Kaufmann-Hayoz, Markus Schwaninger, Silvia Ulli-Beer
      Pages 49-67
  4. System Dynamics and Agent-Based Models in Action

    1. Front Matter
      Pages 123-123
    2. Andrea M. Bassi, Prakash (Sanju) Deenapanray, Pål Davidsen
      Pages 125-156
    3. Isaac Dyner, Carlos J. Franco, Laura M. Cardenas
      Pages 235-249
  5. Back Matter
    Pages 271-273

About this book


The roles and applications of various modeling approaches, aimed at improving the usefulness of energy policy models in public decision making, are covered by this book. The development, validation, and applications of system dynamics and agent-based models in service of energy policy design and assessment in the 21st century is a key focus. A number of modeling approaches and models for energy policy, with a particular focus on low-carbon economic development of regions and states are covered. Chapters on system dynamics methodology, model-based theory, fuzzy system dynamics frame-work, and optimization modeling approach are presented, along with several chapters on future research opportunities for the energy policy modeling community.

The use of model-based analysis and scenarios in energy policy design and assessment has seen phenomenal growth during the past several decades. In recent years, renewed concerns about climate change and energy security have posed unique modeling challenges. By utilizing the validation techniques and procedures which are effectively demonstrated in these contributions, researchers and practitioners in energy systems domain can increase the appeal and acceptance of their policy models.


Agent-based Energy Models Climate Change and Energy Complex Decision Making Complexity and Energy Policy Energy Economy Interaction Energy Modeling Approaches Energy Policy Assessment Energy Policy Design

Editors and affiliations

  • Hassan Qudrat-Ullah
    • 1
  1. 1.School of Administrative StudiesYork UniversityTorontoCanada

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Energy Energy (R0)
  • Print ISBN 978-1-4614-8605-3
  • Online ISBN 978-1-4614-8606-0
  • Series Print ISSN 1860-0832
  • Series Online ISSN 1860-0840
  • Buy this book on publisher's site
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