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Progress in energy complex system modelling and analysis

Author

Listed:
  • Yi-Ming Wei
  • Gang Wu
  • Ying Fan
  • Lan-Cui Liu

Abstract

From the viewpoint of energy system modelling, this paper systematically analyses energy models developed by various international organisations. Their modelling approaches, functions, modelling structures, as well as their typical applications are reviewed. The review will be helpful for further study and development in the area of modelling and analysis of energy complex systems.

Suggested Citation

  • Yi-Ming Wei & Gang Wu & Ying Fan & Lan-Cui Liu, 2006. "Progress in energy complex system modelling and analysis," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 25(1/2), pages 109-128.
    • Handle: RePEc:ids:ijgeni:v:25:y:2006:i:1/2:p:109-128
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    Citations

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    Cited by:

    1. Calvert, K. & Pearce, J.M. & Mabee, W.E., 2013. "Toward renewable energy geo-information infrastructures: Applications of GIScience and remote sensing that build institutional capacity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 416-429.
    2. Wu, Zhibin & Xu, Jiuping, 2013. "Predicting and optimization of energy consumption using system dynamics-fuzzy multiple objective programming in world heritage areas," Energy, Elsevier, vol. 49(C), pages 19-31.
    3. 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.
    4. Kumar, Subhash & Madlener, Reinhard, 2016. "CO2 emission reduction potential assessment using renewable energy in India," Energy, Elsevier, vol. 97(C), pages 273-282.
    5. Kumar, Subhash & Madlener, Reinhard, 2015. "A Least-Cost Assessment of the CO2 Mitigation Potential Using Renewable Energies in the Indian Electricity Supply Sector," FCN Working Papers 14/2014, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    6. Fleiter, Tobias & Worrell, Ernst & Eichhammer, Wolfgang, 2011. "Barriers to energy efficiency in industrial bottom-up energy demand models--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3099-3111, August.
    7. Elizaveta Gavrikova & Yegor Burda & Vladimir Gavrikov & Ruslan Sharafutdinov & Irina Volkova & Marina Rubleva & Daria Polosukhina, 2019. "Clean Energy Sources: Insights from Russia," Resources, MDPI, vol. 8(2), pages 1-25, May.
    8. Liang, Yuanyuan & Yu, Biying & Wang, Lu, 2019. "Costs and benefits of renewable energy development in China's power industry," Renewable Energy, Elsevier, vol. 131(C), pages 700-712.
    9. Hull, David & Ó Gallachóir, Brian P. & Walker, Neil, 2009. "Development of a modelling framework in response to new European energy-efficiency regulatory obligations: The Irish experience," Energy Policy, Elsevier, vol. 37(12), pages 5363-5375, December.
    10. Laimon, Mohamd & Mai, Thanh & Goh, Steven & Yusaf, Talal, 2022. "System dynamics modelling to assess the impact of renewable energy systems and energy efficiency on the performance of the energy sector," Renewable Energy, Elsevier, vol. 193(C), pages 1041-1048.
    11. Qunli Wu & Chenyang Peng, 2016. "Scenario Analysis of Carbon Emissions of China’s Electric Power Industry Up to 2030," Energies, MDPI, vol. 9(12), pages 1-18, November.

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