Energy Policy Modeling in the 21st Century

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
• data-driven science, modeling and theory building
• complexity

• School of Administrative Studies, York University, Toronto, Canada

  Hassan Qudrat-Ullah

Policies and ethics