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Synergy of air pollutants and greenhouse gas emissions of Chinese industries: A critical assessment of energy models

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  • Zhang, Shaohui
  • Worrell, Ernst
  • Crijns-Graus, Wina

Abstract

In China, industrial energy use accounts for two thirds of total energy consumption, and this is expected to remain the same in the medium and long-term. China has embarked on a path towards more sustainable energy use to meet domestic (e.g. air quality) and global needs (e.g. climate change), and to sustain its economic welfare. However, most energy-economy models for China have shown limitations to evaluate policy instruments and technology diffusion in industries, in relation to the multiple policy goals. In this paper, the advantages and weaknesses of 19 current energy models for China are evaluated, including important co-benefits as reduced air pollutant emissions. Results show that the co-benefits of energy use and emission policies are rarely modeled on industrial level. Based on the critical assessment of the state-of-the-art energy models, we develop recommendations for modeling industrial energy use, with an emphasis on improved incorporation of (economic, environmental and energy) policy effects, technology representation, co-benefit modeling, and uncertainty analysis.

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  • Zhang, Shaohui & Worrell, Ernst & Crijns-Graus, Wina, 2015. "Synergy of air pollutants and greenhouse gas emissions of Chinese industries: A critical assessment of energy models," Energy, Elsevier, vol. 93(P2), pages 2436-2450.
  • Handle: RePEc:eee:energy:v:93:y:2015:i:p2:p:2436-2450
    DOI: 10.1016/j.energy.2015.10.088
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    5. Edelenbosch, O.Y. & Kermeli, K. & Crijns-Graus, W. & Worrell, E. & Bibas, R. & Fais, B. & Fujimori, S. & Kyle, P. & Sano, F. & van Vuuren, D.P., 2017. "Comparing projections of industrial energy demand and greenhouse gas emissions in long-term energy models," Energy, Elsevier, vol. 122(C), pages 701-710.
    6. Xiaran Zhang & Xiaoxia Rong & Meng Cai & Qingchun Meng, 2019. "Collaborative Optimization of Emissions and Abatement Costs for Air Pollutants and Greenhouse Gases from the Perspective of Energy Structure: An Empirical Analysis in Tianjin," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    7. Karel Janda & Ladislav Kristoufek & Binyi Zhang, 2021. "Return and volatility spillovers between Chinese and U.S. Clean Energy Related Stocks: Evidence from VAR-MGARCH estimations," FFA Working Papers 4.001, Prague University of Economics and Business, revised 17 Jan 2022.
    8. Wang, Yihan & Wen, Zongguo & Yao, Jianguo & Doh Dinga, Christian, 2020. "Multi-objective optimization of synergic energy conservation and CO2 emission reduction in China's iron and steel industry under uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    9. Gu, Gaoxiang & Wang, Zheng, 2018. "China’s carbon emissions abatement under industrial restructuring by investment restriction," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 133-144.
    10. 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.
    11. Wang, Yihan & Zhang, Lanxin & Wen, Zongguo & Chen, Chen & Cao, Xin & Doh Dinga, Christian, 2023. "Optimization of the sustainable production pathways under multiple industries and objectives: A study of China's three energy- and emission-intensive industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    12. Baležentis, Tomas & Streimikiene, Dalia, 2017. "Multi-criteria ranking of energy generation scenarios with Monte Carlo simulation," Applied Energy, Elsevier, vol. 185(P1), pages 862-871.

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