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The EFOM 12C energy supply model within the EC modelling system

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  • Van der Voort, E

Abstract

This article describes the EC-EFOM 12C model in general and refers where possible to existing documentation. It also reports on the first completed experimental case study and on planned future analysis. This model was developed in one of the research programs undertaken by the European Commission aimed primarily at multinational studies. Data are obtained from research carried out by an interactive network of national implementation teams working with a central group at the Commission. The energy system used is an oriented network carrying the primary energy over intermediate stages till finally meeting consumers' demand. The numerical information, constituting the attributes that characterise the various energy transformation processes, is stored in the European energy data base. About 225 transformation processes distributed over 17 subsystems characterised for six time periods up till 2020 for all EC countries are involved. The management of the data base is performed by an interactive software and this data base is designed for use in simulation studies and for linear programming optimisation with various objective functions. The model has been used in a parallel case study to explore substitution possibilities between an investment policy reducing the primary energy imports and one where these investments are restrained at the cost of having to import more primary energy. Results are shown and briefly discussed. Finally the relationship of this EFOM 12C model with the other EC models developed in the same research subprogram is outlined.

Suggested Citation

  • Van der Voort, E, 1982. "The EFOM 12C energy supply model within the EC modelling system," Omega, Elsevier, vol. 10(5), pages 507-523.
    • Handle: RePEc:eee:jomega:v:10:y:1982:i:5:p:507-523
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    1. Chinese, Damiana & Meneghetti, Antonella, 2005. "Optimisation models for decision support in the development of biomass-based industrial district-heating networks in Italy," Applied Energy, Elsevier, vol. 82(3), pages 228-254, November.
    2. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    3. Boucher, Jacqueline & Smeers, Yves, 1996. "Optimal development planning of gas reserves," Energy Economics, Elsevier, vol. 18(1-2), pages 25-47, April.
    4. Psarras, J. & Capros, P. & Samouilidis, J.-E., 1990. "4.5. Multiobjective programming," Energy, Elsevier, vol. 15(7), pages 583-605.
    5. Howells, Mark & Rogner, Holger & Strachan, Neil & Heaps, Charles & Huntington, Hillard & Kypreos, Socrates & Hughes, Alison & Silveira, Semida & DeCarolis, Joe & Bazillian, Morgan & Roehrl, Alexander, 2011. "OSeMOSYS: The Open Source Energy Modeling System: An introduction to its ethos, structure and development," Energy Policy, Elsevier, vol. 39(10), pages 5850-5870, October.
    6. Bahn, Olivier & Marcy, Mathilde & Vaillancourt, Kathleen & Waaub, Jean-Philippe, 2013. "Electrification of the Canadian road transportation sector: A 2050 outlook with TIMES-Canada," Energy Policy, Elsevier, vol. 62(C), pages 593-606.
    7. Maximilian Hoffmann & Leander Kotzur & Detlef Stolten & Martin Robinius, 2020. "A Review on Time Series Aggregation Methods for Energy System Models," Energies, MDPI, vol. 13(3), pages 1-61, February.
    8. Vaillancourt, Kathleen & Alcocer, Yuri & Bahn, Olivier & Fertel, Camille & Frenette, Erik & Garbouj, Hichem & Kanudia, Amit & Labriet, Maryse & Loulou, Richard & Marcy, Mathilde & Neji, Yosra & Waaub,, 2014. "A Canadian 2050 energy outlook: Analysis with the multi-regional model TIMES-Canada," Applied Energy, Elsevier, vol. 132(C), pages 56-65.
    9. Nikita Suslov & Vladimir Buzulutskov & Ekaterina Isupova, 2022. "Inter-sector Inter-Region Model for Russian Economy: Methodology and Application," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 307-315.
    10. Julia Barbosa & Christopher Ripp & Florian Steinke, 2021. "Accessible Modeling of the German Energy Transition: An Open, Compact, and Validated Model," Energies, MDPI, vol. 14(23), pages 1-18, December.
    11. Alberto Vargiu & Riccardo Novo & Claudio Moscoloni & Enrico Giglio & Giuseppe Giorgi & Giuliana Mattiazzo, 2022. "An Energy Cost Assessment of Future Energy Scenarios: A Case Study on San Pietro Island," Energies, MDPI, vol. 15(13), pages 1-23, June.
    12. Boucher, Jacqueline & Smeers, Yves, 1985. "Programmation mathématique et modélisation énergétique," L'Actualité Economique, Société Canadienne de Science Economique, vol. 61(1), pages 24-50, mars.

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