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Article
Integrating Consumer Preferences in Renewable Energy Expansion Planning Using Agent-Based Modeling
Proceedings of the 2017 Winter Simulation Conference
  • Anuj Mittal, Iowa State University
  • Caroline Krejci, Iowa State University
Document Type
Conference Proceeding
Publication Version
Accepted Manuscript
Publication Date
1-1-2017
Conference Title
2017 Winter Simulation Conference
Conference Date
December 3-6, 2017
Geolocation
(38.855419, -77.05212890000001)
Abstract

As share of renewable sources in the energy sector is increasing, the energy production and distribution network’s centralized structure is changing to numerous small-scale distributed networks. Energy consumers in the residential sector are increasingly becoming energy producers by adopting rooftop photo voltaic (PV) systems. However, increasing rooftop PV adoption has contributed to diminishing revenues for utility companies. This paper describes an agent-based model that has been developed to help utility companies better understand the impacts of consumers’ preferences and behaviors on adding renewable sources to their energy mix. Experimental results demonstrate that including both consumers and utility companies as stakeholders can help the utilities alleviate revenue losses due to increasing rooftop PV adoption while meeting their renewable energy expansion targets.

Comments

This is an accepted manuscript of a proceedings from the 2017 Winter Simulation Conference. Posted with permission.

Rights
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Copyright Owner
IEEE
Language
en
File Format
application/pdf
Citation Information
Anuj Mittal and Caroline Krejci. "Integrating Consumer Preferences in Renewable Energy Expansion Planning Using Agent-Based Modeling" Crystal City, VAProceedings of the 2017 Winter Simulation Conference (2017)
Available at: http://works.bepress.com/caroline_krejci/11/