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Multi-regional evaluation of the U.S. electricity sector under technology and policy uncertainties: Findings from MARKAL EPA9rUS modeling

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  • Balash, Peter
  • Nichols, Christopher
  • Victor, Nadejda

Abstract

The concern of the environmental impacts of electricity generation from fossil fuels and the desire for the country to be less dependent on fossil fuels have resulted in the U.S. Government offering various incentives to promote electricity from renewable sources. The U.S. electricity generation sector faces uncertainties that include future demand, the costs of supply, and the effects of regulation policies. National policies that aim to promote “clean” energy sources may have different impacts for different areas of the country, so it is important to understand the regional effects in addition to the larger national picture. The primary purpose of this paper is to shed some light on the uncertainties associated with the outcomes of possible regulations.

Suggested Citation

  • Balash, Peter & Nichols, Christopher & Victor, Nadejda, 2013. "Multi-regional evaluation of the U.S. electricity sector under technology and policy uncertainties: Findings from MARKAL EPA9rUS modeling," Socio-Economic Planning Sciences, Elsevier, vol. 47(2), pages 89-119.
    • Handle: RePEc:eee:soceps:v:47:y:2013:i:2:p:89-119
    DOI: 10.1016/j.seps.2012.08.002
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    2. Qian Zhou & Helmut Yabar & Takeshi Mizunoya & Yoshiro Higano, 2017. "Evaluation of Integrated Air Pollution and Climate Change Policies: Case Study in the Thermal Power Sector in Chongqing City, China," Sustainability, MDPI, vol. 9(10), pages 1-17, September.
    3. World Bank, 2015. "Report on the Simulation of Low Carbon Green Growth Policies, including the Results of Impact Assessment and Final Policy Recommendations," World Bank Publications - Reports 24783, The World Bank Group.
    4. Yi, Bo-Wen & Xu, Jin-Hua & Fan, Ying, 2016. "Inter-regional power grid planning up to 2030 in China considering renewable energy development and regional pollutant control: A multi-region bottom-up optimization model," Applied Energy, Elsevier, vol. 184(C), pages 641-658.
    5. Tobias Witt & Matthias Klumpp, 2021. "Multi-Period Multi-Criteria Decision Making under Uncertainty: A Renewable Energy Transition Case from Germany," Sustainability, MDPI, vol. 13(11), pages 1-20, June.

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