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Scenario analysis of energy saving and CO2 emissions reduction potentials to ratchet up Japanese mitigation target in 2030 in the residential sector

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  • Wakiyama, Takako
  • Kuramochi, Takeshi

Abstract

This paper assesses to what extent CO2 emissions from electricity in the residential sector can be further reduced in Japan beyond its post-2020 mitigation target (known as “Intended Nationally Determined Contribution (INDC)”). The paper examines the reduction potential of electricity demand and CO2 emissions in the residential sector by conducting a scenario analysis. Electricity consumption scenarios are set up using a time-series regression model, and used to forecast the electricity consumption patterns to 2030. The scenario analysis also includes scenarios that reduce electricity consumption through enhanced energy efficiency and energy saving measures. The obtained results show that Japan can reduce electricity consumption and CO2 emissions in the residential sector in 2030 more than the Japanese post-2020 mitigation target indicates. At the maximum, the electricity consumption could be reduced by 35TWh, which contributes to 55.4 MtCO2 of emissions reduction in 2030 compared to 2013 if the voluntarily targeted CO2 intensity of electricity is achieved. The result implies that Japan has the potential to ratchet up post-2020 mitigation targets discussed under the Paris Agreement of the United Nations Framework Convention on Climate Change (UNFCCC).

Suggested Citation

  • Wakiyama, Takako & Kuramochi, Takeshi, 2017. "Scenario analysis of energy saving and CO2 emissions reduction potentials to ratchet up Japanese mitigation target in 2030 in the residential sector," Energy Policy, Elsevier, vol. 103(C), pages 1-15.
    • Handle: RePEc:eee:enepol:v:103:y:2017:i:c:p:1-15
    DOI: 10.1016/j.enpol.2016.12.059
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    References listed on IDEAS

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    1. Wakiyama, Takako & Zusman, Eric & Monogan, James E., 2014. "Can a low-carbon-energy transition be sustained in post-Fukushima Japan? Assessing the varying impacts of exogenous shocks," Energy Policy, Elsevier, vol. 73(C), pages 654-666.
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    Cited by:

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    2. Kuriyama, Akihisa & Tamura, Kentaro & Kuramochi, Takeshi, 2019. "Can Japan enhance its 2030 greenhouse gas emission reduction targets? Assessment of economic and energy-related assumptions in Japan's NDC," Energy Policy, Elsevier, vol. 130(C), pages 328-340.
    3. Hafezi, Reza & Akhavan, AmirNaser & Pakseresht, Saeed & A. Wood, David, 2021. "Global natural gas demand to 2025: A learning scenario development model," Energy, Elsevier, vol. 224(C).
    4. Xingfan Pu & Jian Yao & Rongyue Zheng, 2022. "Forecast of Energy Consumption and Carbon Emissions in China’s Building Sector to 2060," Energies, MDPI, vol. 15(14), pages 1-20, July.
    5. Ma, Weiwu & Fang, Song & Liu, Gang & Zhou, Ruoyu, 2017. "Modeling of district load forecasting for distributed energy system," Applied Energy, Elsevier, vol. 204(C), pages 181-205.
    6. Long, Yin & Dong, Liang & Yoshida, Yoshikuni & Li, Zhaoling, 2018. "Evaluation of energy-related household carbon footprints in metropolitan areas of Japan," Ecological Modelling, Elsevier, vol. 377(C), pages 16-25.

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