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Energy import resilience with input–output linear programming models

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  • He, Peijun
  • Ng, Tsan Sheng
  • Su, Bin

Abstract

In this work we develop a new approach to study the energy import resilience of an economy using linear programming and economic input–output analysis. In particular, we propose an energy import resilience index by examining the maximum level of energy import reduction that the economy can endure without sacrificing domestic demands. A mixed integer programming model is then developed to compute the resilience index efficiently. The methodology is applied to a case study using China input–output data to study the energy import resilience under different power generation portfolio assumptions. We demonstrate how our models can be used to uncover important inter-sectoral dependencies, and to guide decision-makers in improving the energy resilience in a systematic manner.

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  • He, Peijun & Ng, Tsan Sheng & Su, Bin, 2015. "Energy import resilience with input–output linear programming models," Energy Economics, Elsevier, vol. 50(C), pages 215-226.
    • Handle: RePEc:eee:eneeco:v:50:y:2015:i:c:p:215-226
    DOI: 10.1016/j.eneco.2015.05.007
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    5. Kong, Zhaoyang & Lu, Xi & Jiang, Qingzhe & Dong, Xiucheng & Liu, Guixian & Elbot, Noah & Zhang, Zhonghua & Chen, Shi, 2019. "Assessment of import risks for natural gas and its implication for optimal importing strategies: A case study of China," Energy Policy, Elsevier, vol. 127(C), pages 11-18.
    6. Mehmet Alagöz & Nihal Yokuş & Turgut Yokuş, 2019. "Photovoltaic solar power plant investment optimization model for economic external balance: Model of Turkey," Energy & Environment, , vol. 30(3), pages 522-541, May.
    7. Wang, Jun-Zhuo & Feng, Gen-Fu & Yin, Hua-Tang & Chang, Chun-Ping, 2023. "Toward sustainable development: Does the rising oil price stimulate innovation in climate change mitigation technologies?," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 569-583.
    8. Gatto, Andrea & Drago, Carlo, 2020. "Measuring and modeling energy resilience," Ecological Economics, Elsevier, vol. 172(C).
    9. Kang, Jidong & Ng, Tsan Sheng & Su, Bin & Milovanoff, Alexandre, 2021. "Electrifying light-duty passenger transport for CO2 emissions reduction: A stochastic-robust input–output linear programming model," Energy Economics, Elsevier, vol. 104(C).
    10. Kang, Jidong & Ng, Tsan Sheng & Su, Bin, 2020. "Optimizing electricity mix for CO2 emissions reduction: A robust input-output linear programming model," European Journal of Operational Research, Elsevier, vol. 287(1), pages 280-292.
    11. Frauke Wiese, 2016. "Resilience Thinking as an Interdisciplinary Guiding Principle for Energy System Transitions," Resources, MDPI, vol. 5(4), pages 1-17, September.
    12. Wang, Minggang & Tian, Lixin & Du, Ruijin, 2016. "Research on the interaction patterns among the global crude oil import dependency countries: A complex network approach," Applied Energy, Elsevier, vol. 180(C), pages 779-791.
    13. He, Peijun & Ng, Tsan Sheng & Su, Bin, 2017. "Energy-economic recovery resilience with Input-Output linear programming models," Energy Economics, Elsevier, vol. 68(C), pages 177-191.
    14. Jiang, Meihui & An, Haizhong & Gao, Xiangyun & Liu, Donghui & Jia, Nanfei & Xi, Xian, 2020. "Consumption-based multi-objective optimization model for minimizing energy consumption: A case study of China," Energy, Elsevier, vol. 208(C).
    15. Paolo Manasse & G. Alfredo Minerva & Roberto Patuelli & Lorenzo Zirulia, 2020. "How to Lockdown an Economy: an Input Output Analysis of the Italian Case," Working Papers wp1152, Dipartimento Scienze Economiche, Universita' di Bologna.
    16. M Sarwar Sindhu & Tabasam Rashid & Agha Kashif, 2019. "Modeling of linear programming and extended TOPSIS in decision making problem under the framework of picture fuzzy sets," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-13, August.
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    More about this item

    Keywords

    Energy resilience; Input–output modeling; Linear programming;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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