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Factorial optimization-driven input-output analysis for socio-economic and environmental effects of GHG emission reduction in electric power systems – A Canadian case study

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  • Luo, Bin
  • Huang, Guohe
  • Chen, Leian
  • Liu, Lirong
  • Zhao, Kai

Abstract

Low-carbon transition of electric power system plays an important role in meeting national greenhouse gas (GHG) emission reduction goals. Analyzing the effects of such transition on various sectors could provide targeted and effective mitigation policy recommendations at sectoral level. In this study, a factorial optimization-driven input-output model has been developed to explore socio-economic and environmental (SEE) effects of GHG emission reduction in Canada's electric power system under uncertainty and their interactions. The results highlight the importance of optimizing the structure of a certain system (e.g., energy system or electric power system) on the emission reduction of the whole society under a specific mitigation target. Significance of indirect GHG emissions for sectoral emission reduction policy formulation is further emphasized, especially for agriculture- and manufacturing-related sectors. In addition, factors with significant interactive effects on sectoral total outputs have been identified. Increasing the proportion of clean power (i.e., wind/solar power, small modular reactor power, and coal-fired power with carbon capture and storage technology) is conducive to promoting sectoral total outputs and GHG emission reduction by 2050. The modelling framework can be extended and applied to other regions to help analyze SEE effects under various emission mitigation policies and scenarios.

Suggested Citation

  • Luo, Bin & Huang, Guohe & Chen, Leian & Liu, Lirong & Zhao, Kai, 2024. "Factorial optimization-driven input-output analysis for socio-economic and environmental effects of GHG emission reduction in electric power systems – A Canadian case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    • Handle: RePEc:eee:rensus:v:192:y:2024:i:c:s1364032123010857
    DOI: 10.1016/j.rser.2023.114227
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    1. Kendziorski, Mario & Göke, Leonard & von Hirschhausen, Christian & Kemfert, Claudia & Zozmann, Elmar, 2022. "Centralized and decentral approaches to succeed the 100% energiewende in Germany in the European context – A model-based analysis of generation, network, and storage investments," Energy Policy, Elsevier, vol. 167(C).
    2. Meng, Sam & Siriwardana, Mahinda & McNeill, Judith & Nelson, Tim, 2018. "The impact of an ETS on the Australian energy sector: An integrated CGE and electricity modelling approach," Energy Economics, Elsevier, vol. 69(C), pages 213-224.
    3. Oshita, Yuko, 2012. "Identifying critical supply chain paths that drive changes in CO2 emissions," Energy Economics, Elsevier, vol. 34(4), pages 1041-1050.
    4. Luo, Bin & Huang, Guohe & Chen, Jiapei & Zhang, Xiaoyue & Zhao, Kai, 2021. "A chance-constrained small modular reactor siting model -- a case study for the Province of Saskatchewan, Canada," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    5. Jérôme Hilaire & Jan C. Minx & Max W. Callaghan & Jae Edmonds & Gunnar Luderer & Gregory F. Nemet & Joeri Rogelj & Maria Mar Zamora, 2019. "Negative emissions and international climate goals—learning from and about mitigation scenarios," Climatic Change, Springer, vol. 157(2), pages 189-219, November.
    6. Heleen L. Soest & Lara Aleluia Reis & Luiz Bernardo Baptista & Christoph Bertram & Jacques Després & Laurent Drouet & Michel Elzen & Panagiotis Fragkos & Oliver Fricko & Shinichiro Fujimori & Neil Gra, 2021. "Global roll-out of comprehensive policy measures may aid in bridging emissions gap," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    7. Davis, Matthew & Ahiduzzaman, Md. & Kumar, Amit, 2018. "How will Canada’s greenhouse gas emissions change by 2050? A disaggregated analysis of past and future greenhouse gas emissions using bottom-up energy modelling and Sankey diagrams," Applied Energy, Elsevier, vol. 220(C), pages 754-786.
    8. Lenzen, Manfred & Murray, Joy, 2010. "Conceptualising environmental responsibility," Ecological Economics, Elsevier, vol. 70(2), pages 261-270, December.
    9. Vaillancourt, Kathleen & Bahn, Olivier & Frenette, Erik & Sigvaldason, Oskar, 2017. "Exploring deep decarbonization pathways to 2050 for Canada using an optimization energy model framework," Applied Energy, Elsevier, vol. 195(C), pages 774-785.
    10. A. Charnes & W. W. Cooper, 1959. "Chance-Constrained Programming," Management Science, INFORMS, vol. 6(1), pages 73-79, October.
    11. Llop, Maria & Ponce-Alifonso, Xavier, 2015. "Identifying the role of final consumption in structural path analysis: An application to water uses," Ecological Economics, Elsevier, vol. 109(C), pages 203-210.
    12. Kumar, Subhash, 2016. "Assessment of renewables for energy security and carbon mitigation in Southeast Asia: The case of Indonesia and Thailand," Applied Energy, Elsevier, vol. 163(C), pages 63-70.
    13. Zhang, Bo & Qu, Xue & Meng, Jing & Sun, Xudong, 2017. "Identifying primary energy requirements in structural path analysis: A case study of China 2012," Applied Energy, Elsevier, vol. 191(C), pages 425-435.
    14. Lei Duan & Robert Petroski & Lowell Wood & Ken Caldeira, 2022. "Stylized least-cost analysis of flexible nuclear power in deeply decarbonized electricity systems considering wind and solar resources worldwide," Nature Energy, Nature, vol. 7(3), pages 260-269, March.
    15. Liu, Lirong & Huang, Gordon & Baetz, Brian & Cheng, Guanhui & Pittendrigh, Scott M. & Pan, Siyue, 2020. "Input-output modeling analysis with a detailed disaggregation of energy sectors for climate change policy-making: A case study of Saskatchewan, Canada," Renewable Energy, Elsevier, vol. 151(C), pages 1307-1317.
    16. Oluwasola Emmanuel Omoju & Lulit Mitik Beyene & Emily Edoisa Ikhide & Stephen Kelechi Dimwobi & Augustina Ehimare, 2020. "Assessing the Macroeconomic Impacts of Financing Options for Renewable-Energy Policy in Nigeria: Insights from a CGE Model," Working Papers MPIA 2020-01, PEP-MPIA.
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