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An assessment of household electricity load curves and corresponding CO2 marginal abatement cost curves for Gujarat state, India

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  • Garg, Amit
  • Shukla, P.R.
  • Maheshwari, Jyoti
  • Upadhyay, Jigeesha

Abstract

Gujarat, a large industrialized state in India, consumed 67TWh of electricity in 2009–10, besides experiencing a 4.5% demand–supply short-fall. Residential sector accounted for 15% of the total electricity consumption. We conducted load research survey across 21 cities and towns of the state to estimate residential electricity load curves, share of appliances by type and usage patterns for all types of household appliances at utility, geographic, appliance, income and end-use levels. The results indicate that a large scope exists for penetration of energy efficient devices in residential sector. Marginal Abatement Cost (MAC) curves for electricity and CO2 were generated to analyze relative attractiveness of energy efficient appliance options. Results indicate that up to 7.9TWh of electricity can be saved per year with 6.7Mt-CO2 emissions mitigation at negative or very low CO2 prices of US$ 10/t-CO2. Despite such options existing, their penetration is not realized due to myriad barriers such as financial, institutional or awareness and therefore cannot be taken as baseline options for CO2 emission mitigation regimes.

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  • Garg, Amit & Shukla, P.R. & Maheshwari, Jyoti & Upadhyay, Jigeesha, 2014. "An assessment of household electricity load curves and corresponding CO2 marginal abatement cost curves for Gujarat state, India," Energy Policy, Elsevier, vol. 66(C), pages 568-584.
    • Handle: RePEc:eee:enepol:v:66:y:2014:i:c:p:568-584
    DOI: 10.1016/j.enpol.2013.10.068
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    2. Garg, Amit & Maheshwari, Jyoti & Shukla, P.R. & Rawal, Rajan, 2017. "Energy appliance transformation in commercial buildings in India under alternate policy scenarios," Energy, Elsevier, vol. 140(P1), pages 952-965.
    3. Vera, Sonia & Sauma, Enzo, 2015. "Does a carbon tax make sense in countries with still a high potential for energy efficiency? Comparison between the reducing-emissions effects of carbon tax and energy efficiency measures in the Chile," Energy, Elsevier, vol. 88(C), pages 478-488.
    4. Halkos, George & Tzeremes, Nickolaos & Kourtzidis, Stavros, 2014. "Abating CO2 emissions in the Greek energy and industry sectors," MPRA Paper 60807, University Library of Munich, Germany.
    5. Du, Huibin & Li, Qun & Liu, Xi & Peng, Binbin & Southworth, Frank, 2021. "Costs and potentials of reducing CO2 emissions in China's transport sector: Findings from an energy system analysis," Energy, Elsevier, vol. 234(C).
    6. Kejia Yang & Yalin Lei & Weiming Chen & Lingna Liu, 2018. "Carbon dioxide emission reduction quota allocation study on Chinese provinces based on two-stage Shapley information entropy model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(1), pages 321-335, March.
    7. Kejia Yang & Yalin Lei, 2017. "The carbon dioxide marginal abatement cost calculation of Chinese provinces based on stochastic frontier analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(1), pages 505-521, January.
    8. Zongguo Wen & Xuan Zhang & Xuewei Yu & Jinghan Di, 2015. "Technology options for reducing CO 2 in China's electricity sector in 2010–2030: From the perspective of internal and social costs," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 5(6), pages 772-785, December.
    9. Levihn, Fabian, 2016. "On the problem of optimizing through least cost per unit, when costs are negative: Implications for cost curves and the definition of economic efficiency," Energy, Elsevier, vol. 114(C), pages 1155-1163.

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