Evaluation of renewable energy policies using agent-based simulation - A case study of the state of Texas

Haluk Damgacioglu, Talal Alyamani, Nurcin Celik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Environmental issues that we face today abridge the search for alternative renewable energy sources, a non-economical option for producing energy, compared to conventional sources including coal, oil and natural gas. An energy policy concordantly helps renewable energy technologies compete with conventional energy sources. This paper presents an agent-based modeling and analysis approach for the evaluation of renewable energy policies (ABM-p) with respect to their benefits to various related stakeholders, where the debilitating impacts, advantages, and disadvantages of such policies can be assessed and quantified at the state level. The ABM-p approach consists of a database which collects economic and environmental data, a preliminary analysis which makes predictions for consumption, supply and prices, and an agent-based simulation model that provides an accurate representation of the energy system considering interactions and objectives of various stakeholders. To this end, the estimation and evaluation capabilities of the ABM-p framework are used to evaluate utility rebate and federal tax credit programs in Texas as a selected case study, where the data is obtained from reports by Energy Information Administration, and National Renewable Energy Laboratory. Utility rebate incentives and federal tax credits are found to be the most effective in promoting renewable energy technologies in Texas.

Original languageEnglish (US)
Title of host publicationIIE Annual Conference and Expo 2015
PublisherInstitute of Industrial Engineers
Pages154-163
Number of pages10
ISBN (Electronic)9780983762447
StatePublished - 2015
EventIIE Annual Conference and Expo 2015 - Nashville, United States
Duration: May 30 2015Jun 2 2015

Other

OtherIIE Annual Conference and Expo 2015
CountryUnited States
CityNashville
Period5/30/156/2/15

Fingerprint

Energy policy
Taxation
Coal gas
Natural gas
Economics
Oils

Keywords

  • Agent-based simulation
  • Renewable energy policy evaluation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Cite this

Damgacioglu, H., Alyamani, T., & Celik, N. (2015). Evaluation of renewable energy policies using agent-based simulation - A case study of the state of Texas. In IIE Annual Conference and Expo 2015 (pp. 154-163). Institute of Industrial Engineers.

Evaluation of renewable energy policies using agent-based simulation - A case study of the state of Texas. / Damgacioglu, Haluk; Alyamani, Talal; Celik, Nurcin.

IIE Annual Conference and Expo 2015. Institute of Industrial Engineers, 2015. p. 154-163.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Damgacioglu, H, Alyamani, T & Celik, N 2015, Evaluation of renewable energy policies using agent-based simulation - A case study of the state of Texas. in IIE Annual Conference and Expo 2015. Institute of Industrial Engineers, pp. 154-163, IIE Annual Conference and Expo 2015, Nashville, United States, 5/30/15.
Damgacioglu H, Alyamani T, Celik N. Evaluation of renewable energy policies using agent-based simulation - A case study of the state of Texas. In IIE Annual Conference and Expo 2015. Institute of Industrial Engineers. 2015. p. 154-163
Damgacioglu, Haluk ; Alyamani, Talal ; Celik, Nurcin. / Evaluation of renewable energy policies using agent-based simulation - A case study of the state of Texas. IIE Annual Conference and Expo 2015. Institute of Industrial Engineers, 2015. pp. 154-163
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