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Economic and environmental impacts of local utility-delivered industrial energy-efficiency rebate programs

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  • Choi, Jun-Ki
  • Eom, Jiyong
  • McClory, Emma

Abstract

Manufacturing operations are constantly encouraged to include energy-efficient practices into their plant operations, including through rebate programs that provide monetary rewards for firms who purchase and employ energy-efficient equipment in their facilities. This article presents a novel methodology for analyzing the cascading economic and environmental effects of an electric utility company's industrial energy-efficiency rebate programs and applies it to the case of a local utility located in the U.S. state of Ohio. It examines the utility's industrial rebate programs for lighting, motor, and heating, ventilation, and air conditioning (HVAC) systems and estimates the economic and environmental impacts of the programs using an input-output modeling framework. All three rebate programs provided a modest economic boost not only to directly involved equipment manufacturers and marketing service providers, but also to other upstream industries responding to the direct impact and the final demand augmented by the associated increase in value added in the regional economy. Emissions avoided as a result of electricity savings were found to outweigh additional emissions generated from the production of the energy-efficiency equipment in the region throughout the program years. However, if the full equipment purchase data were made available, the amount of added CO2 emissions would be larger.

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  • Choi, Jun-Ki & Eom, Jiyong & McClory, Emma, 2018. "Economic and environmental impacts of local utility-delivered industrial energy-efficiency rebate programs," Energy Policy, Elsevier, vol. 123(C), pages 289-298.
  • Handle: RePEc:eee:enepol:v:123:y:2018:i:c:p:289-298
    DOI: 10.1016/j.enpol.2018.08.066
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    Cited by:

    1. Kapp, Sean & Choi, Jun-Ki & Hong, Taehoon, 2023. "Predicting industrial building energy consumption with statistical and machine-learning models informed by physical system parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 172(C).
    2. Chunji Zheng & Feng Deng & Chengyou Li, 2022. "Energy-Saving Effect of Regional Development Strategy in Western China," Sustainability, MDPI, vol. 14(9), pages 1-22, May.
    3. He, Yong & Liao, Nuo & Lin, Kunrong, 2021. "Can China's industrial sector achieve energy conservation and emission reduction goals dominated by energy efficiency enhancement? A multi-objective optimization approach," Energy Policy, Elsevier, vol. 149(C).
    4. Fábio de Oliveira Neves & Henrique Ewbank & José Arnaldo Frutuoso Roveda & Andrea Trianni & Fernando Pinhabel Marafão & Sandra Regina Monteiro Masalskiene Roveda, 2022. "Economic and Production-Related Implications for Industrial Energy Efficiency: A Logistic Regression Analysis on Cross-Cutting Technologies," Energies, MDPI, vol. 15(4), pages 1-19, February.
    5. Safarzadeh, Soroush & Rasti-Barzoki, Morteza & Hejazi, Seyed Reza, 2020. "A review of optimal energy policy instruments on industrial energy efficiency programs, rebound effects, and government policies," Energy Policy, Elsevier, vol. 139(C).

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