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Is information and communications technology effective for industrial energy conservation and emission reduction? Evidence from three energy-intensive industries in China

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  • Wang, Yihan
  • Wen, Zongguo
  • Cao, Xin
  • Dinga, Christian Doh

Abstract

Information and communications technology (ICT) can significantly contribute to industrial energy conservation and emission reduction by improving production and management efficiency. However, few studies have analyzed the technical mechanisms nor quantified the effects of ICT in the industrial sector, hence, existing studies cannot fully support the technology promotion strategy. To overcome this research gap, a nationwide industrial ICT system is built for the first time. Taking China's iron and steel, cement, and coal-fired power industry as case study, this paper has adopted bottom-up modeling approaches to simulate the material and energy metabolism of industrial production process, divided ICTs into six types based on their application units, and then quantified their energy conservation and emission reduction potential. In addition, Conservation Supply Curves, Latin Hypercube Sampling, and HSY algorithm methods are used to analyze their technical performance. Results show: (1) The application of ICT has considerable effects, as it can enlarge the industrial energy conservation and emission reduction potential by 10.7–21.7% in the next 15 years; (2) The differences between the technical costs of ICTs are significant, meanwhile more than 70% of this potential is cost-effective; (3) Uncertainty factors will affect technical potential and cost by 4–15%, amongst which technical popularity is the most sensitive factor. These findings reveal the significant effects of ICT and put forward policy suggestions on their promotion strategy in industrial energy conservation and emission reduction.

Suggested Citation

  • Wang, Yihan & Wen, Zongguo & Cao, Xin & Dinga, Christian Doh, 2022. "Is information and communications technology effective for industrial energy conservation and emission reduction? Evidence from three energy-intensive industries in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    • Handle: RePEc:eee:rensus:v:160:y:2022:i:c:s136403212200257x
    DOI: 10.1016/j.rser.2022.112344
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    as
    1. Li, Wei & Gao, Shubin, 2018. "Prospective on energy related carbon emissions peak integrating optimized intelligent algorithm with dry process technique application for China's cement industry," Energy, Elsevier, vol. 165(PB), pages 33-54.
    2. Meier, Alan & Rosenfeld, Arthur H. & Wright, Janice, 1982. "Supply curves of conserved energy for California's residential sector," Energy, Elsevier, vol. 7(4), pages 347-358.
    3. Zheng, Jiajia & Wang, Xingwu, 2021. "Can mobile information communication technologies (ICTs) promote the development of renewables?-evidence from seven countries," Energy Policy, Elsevier, vol. 149(C).
    4. 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).
    5. Shi, Ye & Tuan, Hoang Duong & Savkin, Andrey V. & Lin, Chin-Teng & Zhu, Jian Guo & Poor, H. Vincent, 2021. "Distributed model predictive control for joint coordination of demand response and optimal power flow with renewables in smart grid," Applied Energy, Elsevier, vol. 290(C).
    6. Mo, Hongpin & Wen, Zongguo & Chen, Jining, 2009. "Methodology of industry scale analysis under the constraint of regional resource capacity using HSY algorithm," Resources, Conservation & Recycling, Elsevier, vol. 53(11), pages 631-638.
    7. Wang, Yihan & Chen, Chen & Tao, Yuan & Wen, Zongguo & Chen, Bin & Zhang, Hong, 2019. "A many-objective optimization of industrial environmental management using NSGA-III: A case of China’s iron and steel industry," Applied Energy, Elsevier, vol. 242(C), pages 46-56.
    8. Li, Zhaoling & Dai, Hancheng & Song, Junnian & Sun, Lu & Geng, Yong & Lu, Keyu & Hanaoka, Tatsuya, 2019. "Assessment of the carbon emissions reduction potential of China's iron and steel industry based on a simulation analysis," Energy, Elsevier, vol. 183(C), pages 279-290.
    9. Dehghan Shabani, Zahra & Shahnazi, Rouhollah, 2019. "Energy consumption, carbon dioxide emissions, information and communications technology, and gross domestic product in Iranian economic sectors: A panel causality analysis," Energy, Elsevier, vol. 169(C), pages 1064-1078.
    10. Xu, Jin-Hua & Fleiter, Tobias & Fan, Ying & Eichhammer, Wolfgang, 2014. "CO2 emissions reduction potential in China’s cement industry compared to IEA’s Cement Technology Roadmap up to 2050," Applied Energy, Elsevier, vol. 130(C), pages 592-602.
    11. Yin, Linfei & Zhang, Bin, 2021. "Time series generative adversarial network controller for long-term smart generation control of microgrids," Applied Energy, Elsevier, vol. 281(C).
    12. Tang, Baojun & Li, Ru & Yu, Biying & An, Runying & Wei, Yi-Ming, 2018. "How to peak carbon emissions in China's power sector: A regional perspective," Energy Policy, Elsevier, vol. 120(C), pages 365-381.
    13. Chen, Hao & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun & Wei, Yi-Ming, 2017. "Costs and potentials of energy conservation in China's coal-fired power industry: A bottom-up approach considering price uncertainties," Energy Policy, Elsevier, vol. 104(C), pages 23-32.
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