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An energy security management model using quality function deployment and system dynamics

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  • Shin, Juneseuk
  • Shin, Wan-Seon
  • Lee, Changyong

Abstract

An energy security management model using quality function deployment (QFD) and system dynamics (SD) is suggested for application in public policymaking in developing economies. Through QFD, experts are guided toward identifying key energy security components, including indicators and policies, and in making these components consistent, focused, and customized for a particular country. Using these components as inputs, we construct an intermediate complex system dynamics model with a minimal number of crucial interactions. Key policies are simulated and evaluated in terms of the improvement of key indicators. Even with little data, our approach provides a coherent, useful, and customized energy security management model to help policymakers more effectively manage national energy security. To demonstrate its advantages, the model is applied to the Korean gas sector as an example.

Suggested Citation

  • Shin, Juneseuk & Shin, Wan-Seon & Lee, Changyong, 2013. "An energy security management model using quality function deployment and system dynamics," Energy Policy, Elsevier, vol. 54(C), pages 72-86.
    • Handle: RePEc:eee:enepol:v:54:y:2013:i:c:p:72-86
    DOI: 10.1016/j.enpol.2012.10.074
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    2. Schillo, R. Sandra & Isabelle, Diane A. & Shakiba, Abtin, 2017. "Linking advanced biofuels policies with stakeholder interests: A method building on Quality Function Deployment," Energy Policy, Elsevier, vol. 100(C), pages 126-137.
    3. Kim, Jihyo & Kim, Jinsoo & Kim, Yoon Kyung, 2016. "Korean public's preference for supply security of oil and gas and the impact of protest bidders," Energy Policy, Elsevier, vol. 89(C), pages 202-213.
    4. Mingjing Guo & Yan Bu & Jinhua Cheng & Ziyu Jiang, 2018. "Natural Gas Security in China: A Simulation of Evolutionary Trajectory and Obstacle Degree Analysis," Sustainability, MDPI, vol. 11(1), pages 1-18, December.
    5. Rendon-Sagardi, Miguel A. & Sanchez-Ramirez, Cuauhtemoc & Cortes-Robles, Guillermo & Alor-Hernandez, Giner & Cedillo-Campos, Miguel G., 2014. "Dynamic analysis of feasibility in ethanol supply chain for biofuel production in Mexico," Applied Energy, Elsevier, vol. 123(C), pages 358-367.
    6. Huang, Shi-Wei & Chung, Yung-Fu & Wu, Tai-Hsi, 2021. "Analyzing the relationship between energy security performance and decoupling of economic growth from CO2 emissions for OECD countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    7. Stefan Dragos Cirstea & Andreea Cirstea & Irimie Emil Popa & Gabriel Radu, 2019. "The Role of Bioenergy in Transition to a Sustainable Bioeconomy – Study on EU Countries," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 21(50), pages 1-75, February.
    8. Evgeny Lisin & Wadim Strielkowski & Veronika Chernova & Alena Fomina, 2018. "Assessment of the Territorial Energy Security in the Context of Energy Systems Integration," Energies, MDPI, vol. 11(12), pages 1-14, November.
    9. repec:aud:audfin:v:21:y:2019:i:50:p:75 is not listed on IDEAS
    10. Matsumoto, Ken’ichi & Shiraki, Hiroto, 2018. "Energy security performance in Japan under different socioeconomic and energy conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 391-401.
    11. Ren, Jingzheng & Sovacool, Benjamin K., 2014. "Quantifying, measuring, and strategizing energy security: Determining the most meaningful dimensions and metrics," Energy, Elsevier, vol. 76(C), pages 838-849.
    12. Aslani, Alireza & Helo, Petri & Naaranoja, Marja, 2014. "Role of renewable energy policies in energy dependency in Finland: System dynamics approach," Applied Energy, Elsevier, vol. 113(C), pages 758-765.
    13. Hu, Rui & Zhang, Qun, 2015. "Study of a low-carbon production strategy in the metallurgical industry in China," Energy, Elsevier, vol. 90(P2), pages 1456-1467.
    14. Akbaş, Halil & Bilgen, Bilge, 2017. "An integrated fuzzy QFD and TOPSIS methodology for choosing the ideal gas fuel at WWTPs," Energy, Elsevier, vol. 125(C), pages 484-497.

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