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Energy-saving and carbon emission reduction effect of urban-industrial symbiosis implementation with feasibility analysis in the city

Author

Listed:
  • Sun, Lu
  • Fujii, Minoru
  • Li, Zhaoling
  • Dong, Huijuan
  • Geng, Yong
  • Liu, Zhe
  • Fujita, Tsuyoshi
  • Yu, Xiaoman
  • Zhang, Yuepeng

Abstract

It is important to promote energy saving and resource conservation in cities to promote sustainable development. Urban-industrial symbiosis (UIS) strategy is one of the effective ways to reduce resource consumption and carbon emission in the city. However, rather few studies focusing on both the cost benefit of waste treatment optimization and the heat loss of the energy network optimization in the UIS system. In this study, a typical industrial city Shenyang was selected, and the proposed UIS system included an optimized waste treatment system and industrial system. The results indicate that (1) Steam transportation limited the energy saving effects of the UIS system and economic factor played a key role in the waste treatment method transition. The investment payback time of change the MSW treatment method from landfill to waste power generation and to steam generation was 7.7 years and 11.1 years, respectively. (2) Through UIS implementation, Shenyang city could recover 8.05 × 106 GJ of energy from UIS system and reduce the carbon emission by 1.3%. This study provides quantitative analysis to understand the energy savings and emissions reduction potential of UIS practices, and critical insights into the feasibility of its application in the cities of developing countries.

Suggested Citation

  • Sun, Lu & Fujii, Minoru & Li, Zhaoling & Dong, Huijuan & Geng, Yong & Liu, Zhe & Fujita, Tsuyoshi & Yu, Xiaoman & Zhang, Yuepeng, 2020. "Energy-saving and carbon emission reduction effect of urban-industrial symbiosis implementation with feasibility analysis in the city," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
  • Handle: RePEc:eee:tefoso:v:151:y:2020:i:c:s0040162519311886
    DOI: 10.1016/j.techfore.2019.119853
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    3. Yong, Wen Ni & Liew, Peng Yen & Woon, Kok Sin & Wan Alwi, Sharifah Rafidah & Klemeš, Jiří Jaromír, 2021. "A pinch-based multi-energy targeting framework for combined chilling heating power microgrid of urban-industrial symbiosis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    4. Xiaoli Hao & Yuhong Li & Ume Lail, 2022. "Sustainable development with city, industry, economic and environment: The role of city-industry integration on green economic growth," Journal of Regional Economics, Anser Press, vol. 1(1), pages 1-23, December.
    5. Carmen Ruiz-Puente, 2021. "Proposal of a Conceptual Model to Represent Urban-Industrial Systems from the Analysis of Existing Worldwide Experiences," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    6. Mancini, G. & Luciano, A. & Bolzonella, D. & Fatone, F. & Viotti, P. & Fino, D., 2021. "A water-waste-energy nexus approach to bridge the sustainability gap in landfill-based waste management regions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    7. Efrain Boom-Cárcamo & Rita Peñabaena-Niebles, 2022. "Analysis of the Development of Industrial Symbiosis in Emerging and Frontier Market Countries: Barriers and Drivers," Sustainability, MDPI, vol. 14(7), pages 1-32, April.
    8. Zhao, Ruixi & Sun, Lu & Zou, Xiaolong & Fujii, Minoru & Dong, Liang & Dou, Yi & Geng, Yong & Wang, Fang, 2021. "Towards a Zero Waste city- an analysis from the perspective of energy recovery and landfill reduction in Beijing," Energy, Elsevier, vol. 223(C).
    9. Francesca Ceglia & Elisa Marrasso & Chiara Martone & Giovanna Pallotta & Carlo Roselli & Maurizio Sasso, 2023. "Towards the Decarbonization of Industrial Districts through Renewable Energy Communities: Techno-Economic Feasibility of an Italian Case Study," Energies, MDPI, vol. 16(6), pages 1-23, March.
    10. Fraccascia, Luca & Ceccarelli, Gaia & Dangelico, Rosa Maria, 2023. "Green products from industrial symbiosis: Are consumers ready for them?," Technological Forecasting and Social Change, Elsevier, vol. 189(C).

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