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How to promote CO2 reduction in urban households from a micro perspective?

Author

Listed:
  • Xu, Yue
  • Wang, Qingsong
  • Tian, Shu
  • Liu, Mengyue
  • Zhang, Yujie
  • Yuan, Xueliang
  • Ma, Qiao
  • Liu, Chengqing

Abstract

Climate change has received widespread international attention. Household CO2 reduction can play an important role in mitigating climate change. Therefore, studying household carbon reduction plans is one of the research hotspots. Using a Survey-Evaluation-Optimization approach, this study constructs a methodology system for urban household CO2 reduction from micro perspective. It is found that the direct household CO2 emissions in the target community are about 1580 kgCO2/(cap·yr). Cooing and heat supply, cooking, hot water heating are stable and important components, accounting for about 70%. In some households, internal measures such as adjusting the temperature of air conditioning, canceling the insulation of water heaters, and changing travel modes show good CO2 reduction effects, reaching up to 650 kgCO2/yr. When the external measures are introduced to implement, the CO2 reduction effect of the internal measures is weakened, but the overall effect is improved. Especially when the low-carbon adjustment of power structure is introduced, the overall CO2 reduction can be increased by 35%. Based on this methodology, decision makers can obtain “one community, one policy” targeted implementation plan for household carbon reduction.

Suggested Citation

  • Xu, Yue & Wang, Qingsong & Tian, Shu & Liu, Mengyue & Zhang, Yujie & Yuan, Xueliang & Ma, Qiao & Liu, Chengqing, 2024. "How to promote CO2 reduction in urban households from a micro perspective?," Energy, Elsevier, vol. 293(C).
    • Handle: RePEc:eee:energy:v:293:y:2024:i:c:s0360544224004559
    DOI: 10.1016/j.energy.2024.130683
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    as
    1. Yu, Feng & Dong, Huijuan & Geng, Yong & Fang, Alex S. & Li, Haifeng, 2022. "Uncovering the differences of household carbon footprints and driving forces between China and Japan," Energy Policy, Elsevier, vol. 165(C).
    2. Gils, Hans Christian, 2014. "Assessment of the theoretical demand response potential in Europe," Energy, Elsevier, vol. 67(C), pages 1-18.
    3. Zeke Hausfather & Kate Marvel & Gavin A. Schmidt & John W. Nielsen-Gammon & Mark Zelinka, 2022. "Climate simulations: recognize the ‘hot model’ problem," Nature, Nature, vol. 605(7908), pages 26-29, May.
    4. van der Kam, Mart & van Sark, Wilfried, 2015. "Smart charging of electric vehicles with photovoltaic power and vehicle-to-grid technology in a microgrid; a case study," Applied Energy, Elsevier, vol. 152(C), pages 20-30.
    5. A. M. Vicedo-Cabrera & N. Scovronick & F. Sera & D. Royé & R. Schneider & A. Tobias & C. Astrom & Y. Guo & Y. Honda & D. M. Hondula & R. Abrutzky & S. Tong & M. de Sousa Zanotti Stagliorio Coelho & P., 2021. "The burden of heat-related mortality attributable to recent human-induced climate change," Nature Climate Change, Nature, vol. 11(6), pages 492-500, June.
    6. Dominik Wiedenhofer & Dabo Guan & Zhu Liu & Jing Meng & Ning Zhang & Yi-Ming Wei, 2017. "Unequal household carbon footprints in China," Nature Climate Change, Nature, vol. 7(1), pages 75-80, January.
    7. Romo, R. & Micheloud, O., 2015. "Power quality of actual grids with plug-in electric vehicles in presence of renewables and micro-grids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 46(C), pages 189-200.
    8. Wei, Yi-Ming & Liu, Lan-Cui & Fan, Ying & Wu, Gang, 2007. "The impact of lifestyle on energy use and CO2 emission: An empirical analysis of China's residents," Energy Policy, Elsevier, vol. 35(1), pages 247-257, January.
    9. Soltani, Mohammad & Rahmani, Omeid & Ghasimi, Dara S.M. & Ghaderpour, Yousef & Pour, Amin Beiranvand & Misnan, Siti Hajar & Ngah, Ibrahim, 2020. "Impact of household demographic characteristics on energy conservation and carbon dioxide emission: Case from Mahabad city, Iran," Energy, Elsevier, vol. 194(C).
    10. Lin, Boqiang & Wang, Xia, 2021. "Does low-carbon travel intention really lead to actual low-carbon travel? Evidence from urban residents in China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 743-756.
    11. Haugen, Molly J. & Paoli, Leonardo & Cullen, Jonathan & Cebon, David & Boies, Adam M., 2021. "A fork in the road: Which energy pathway offers the greatest energy efficiency and CO2 reduction potential for low-carbon vehicles?," Applied Energy, Elsevier, vol. 283(C).
    12. Li, Jun & Zhang, Dayong & Su, Bin, 2019. "The Impact of Social Awareness and Lifestyles on Household Carbon Emissions in China," Ecological Economics, Elsevier, vol. 160(C), pages 145-155.
    13. Han, Yawen & Du, Xin & Zhang, Hengming & Ni, Jinfeng & Fan, Fengyan, 2024. "Does smart home adoption reduce household electricity-related CO2 emissions? ——Evidence from Hangzhou city, China," Energy, Elsevier, vol. 289(C).
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