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Assessment on the Cost Synergies and Impacts among Measures on Energy Conservation, Decarbonization, and Air Pollutant Reductions Using an MCEE Model: A Case of Guangzhou, China

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  • Yunsheng Xie

    (Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China
    University of Chinese Academy of Sciences, Beijing 100049, China
    Institute of Energy Research, Jiangxi Academy of Sciences, Nanchang 330096, China)

  • Peng Wang

    (Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China)

  • Yi Dou

    (Platinum Society, The University of Tokyo, Tokyo 1138656, Japan)

  • Lei Yang

    (Institute of Energy Research, Jiangxi Academy of Sciences, Nanchang 330096, China)

  • Songyan Ren

    (Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China)

  • Daiqing Zhao

    (Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China)

Abstract

Many challenges are faced in the process of urban sustainable development, including the continuous growth in energy demand and rapid increase in CO 2 and air pollutant emissions. This study focuses on the costs of measures to address these issues and establishes a multi-objective comprehensive assessment model for energy saving, CO 2 , and pollutant emission (MCEE). Taking Guangzhou as an example, the sustainable development measures are divided into three categories, energy-saving, demand-optimization, and environmental-protection. Five scenarios are set to quantitatively evaluate the costs when these measures are implemented alone or coordinately for the period 2015–2035. Conclusions are as follows: (1) Measures of energy-saving and demand-optimization have the best synergistic effect on energy saving and emission reduction. The synergistic benefits include an 80% and 84% increase in energy savings and CO 2 reductions, respectively, and more than 50% increase in pollutant reductions. (2) Measures of demand-optimization and energy-saving have the best synergistic effect on cost saving, which reduces the unit technical improvement costs of energy saving and CO 2 reduction by 49.5% and 54.9%, respectively, and the unit end-of-pipe costs of four pollutants by 59.15%, 54.43%, 61.15%, and 51.96, respectively. (3) Environmental-protection measures have remarkable synergistic effects in reducing the cost of health loss and labor loss. At the price of a 5% increase in technical improvement cost and 9% in end-of-pipe treatment cost, health loss, labor loss, and total social cost will be reduced by 18%, 19%, and 3%, respectively. The above conclusions provide support for cities of the same type to coordinate various measures, reduce resistance and barriers to their implementation, compensate for the market deficiency of high costs of some measures, and achieve the goal of sustainable development.

Suggested Citation

  • Yunsheng Xie & Peng Wang & Yi Dou & Lei Yang & Songyan Ren & Daiqing Zhao, 2022. "Assessment on the Cost Synergies and Impacts among Measures on Energy Conservation, Decarbonization, and Air Pollutant Reductions Using an MCEE Model: A Case of Guangzhou, China," Energies, MDPI, vol. 15(4), pages 1-22, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:4:p:1258-:d:745206
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    as
    1. Hájek, Miroslav & Zimmermannová, Jarmila & Helman, Karel & Rozenský, Ladislav, 2019. "Analysis of carbon tax efficiency in energy industries of selected EU countries," Energy Policy, Elsevier, vol. 134(C).
    2. Kevin Robert Gurney & Paty Romero-Lankao & Karen C. Seto & Lucy R. Hutyra & Riley Duren & Christopher Kennedy & Nancy B. Grimm & James R. Ehleringer & Peter Marcotullio & Sara Hughes & Stephanie Pince, 2015. "Climate change: Track urban emissions on a human scale," Nature, Nature, vol. 525(7568), pages 179-181, September.
    3. Riley M. Duren & Charles E. Miller, 2012. "Measuring the carbon emissions of megacities," Nature Climate Change, Nature, vol. 2(8), pages 560-562, August.
    4. Ürge-Vorsatz, Diana & Kelemen, Agnes & Tirado-Herrero, Sergio & Thomas, Stefan & Thema, Johannes & Mzavanadze, Nora & Hauptstock, Dorothea & Suerkemper, Felix & Teubler, Jens & Gupta, Mukesh & Chatter, 2016. "Measuring multiple impacts of low-carbon energy options in a green economy context," Applied Energy, Elsevier, vol. 179(C), pages 1409-1426.
    5. van Vliet, Oscar & Krey, Volker & McCollum, David & Pachauri, Shonali & Nagai, Yu & Rao, Shilpa & Riahi, Keywan, 2012. "Synergies in the Asian energy system: Climate change, energy security, energy access and air pollution," Energy Economics, Elsevier, vol. 34(S3), pages 470-480.
    6. Doherty, Meghan & Klima, Kelly & Hellmann, Jessica J., 2016. "Climate change in the urban environment: Advancing, measuring and achieving resiliency," Environmental Science & Policy, Elsevier, vol. 66(C), pages 310-313.
    7. Klausbruckner, Carmen & Annegarn, Harold & Henneman, Lucas R.F. & Rafaj, Peter, 2016. "A policy review of synergies and trade-offs in South African climate change mitigation and air pollution control strategies," Environmental Science & Policy, Elsevier, vol. 57(C), pages 70-78.
    8. Zhang, Shaohui & Worrell, Ernst & Crijns-Graus, Wina & Krol, Maarten & de Bruine, Marco & Geng, Guangpo & Wagner, Fabian & Cofala, Janusz, 2016. "Modeling energy efficiency to improve air quality and health effects of China’s cement industry," Applied Energy, Elsevier, vol. 184(C), pages 574-593.
    9. Bisaga, Iwona & Parikh, Priti & Tomei, Julia & To, Long Seng, 2021. "Mapping synergies and trade-offs between energy and the sustainable development goals: A case study of off-grid solar energy in Rwanda," Energy Policy, Elsevier, vol. 149(C).
    10. Thambiran, Tirusha & Diab, Roseanne D., 2011. "Air quality and climate change co-benefits for the industrial sector in Durban, South Africa," Energy Policy, Elsevier, vol. 39(10), pages 6658-6666, October.
    11. Umed Temurshoev & Ronald E. Miller & Maaike C. Bouwmeester, 2013. "A Note On The Gras Method," Economic Systems Research, Taylor & Francis Journals, vol. 25(3), pages 361-367, September.
    12. Gomi, Kei & Shimada, Kouji & Matsuoka, Yuzuru, 2010. "A low-carbon scenario creation method for a local-scale economy and its application in Kyoto city," Energy Policy, Elsevier, vol. 38(9), pages 4783-4796, September.
    13. Chan, Nathan W. & Morrow, John W., 2019. "Unintended consequences of cap-and-trade? Evidence from the Regional Greenhouse Gas Initiative," Energy Economics, Elsevier, vol. 80(C), pages 411-422.
    14. Kainuma, Mikiko & Matsuoka, Yuzuru & Morita, Tsuneyuki, 2000. "The AIM/end-use model and its application to forecast Japanese carbon dioxide emissions," European Journal of Operational Research, Elsevier, vol. 122(2), pages 416-425, April.
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