Fuzzy system dynamics: A framework for modeling renewable energy policies

Michael Mutingi, Charles Mbohwa

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Citations (Scopus)

Abstract

Renewable energy policy formulation and evaluation is an important subject matter at island, country, regional, and global levels. The general objective is to achieve a sustainable low-carbon energy economy. However, developing robust long-term renewable energy policies is nontrivial due to complex dynamics prevalent in energy systems. To meet future energy demand while keeping CO 2 emission at a sustainable level, effective renewable energy policies have to be put into place. This chapter presents a framework for evaluating renewable energy policies based on a fuzzy system dynamics (FSD) paradigm. First, we describe the renewable energy policy problem, with a case study example. Second, we present a framework for FSD modeling. Third, we propose a high-level causal loop analysis to capture the complex dynamic interactions among various energy demand and supply factors, from an FSD perspective. Fourth, and finally, we propose an FSD model for renewable energy policy modeling and evaluation.

Original languageEnglish
Title of host publicationEnergy Policy Modeling in the 21st Century
PublisherSpringer Verlag
Pages31-47
Number of pages17
ISBN (Print)9781461486053
DOIs
Publication statusPublished - 2013

Publication series

NameUnderstanding Complex Systems
ISSN (Print)1860-0832
ISSN (Electronic)1860-0840

Keywords

  • Energy policy modeling
  • Fuzzy system dynamics
  • Policy evaluation
  • Renewable energy policy
  • System dynamics

ASJC Scopus subject areas

  • Software
  • Computational Mechanics
  • Artificial Intelligence

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