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Modeling framework for planning and operation of multi-modal energy systems in the case of Germany

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Listed:
  • Müller, C.
  • Hoffrichter, A.
  • Wyrwoll, L.
  • Schmitt, C.
  • Trageser, M.
  • Kulms, T.
  • Beulertz, D.
  • Metzger, M.
  • Duckheim, M.
  • Huber, M.
  • Küppers, M.
  • Most, D.
  • Paulus, S.
  • Heger, H.J.
  • Schnettler, A.

Abstract

In order to reach the goals of the United Nations Framework Convention on Climate Change, a stepwise reduction of energy related greenhouse gas emissions as well as an increase in the share of renewable energies is necessary. For a successful realization of these changes in energy supply, an integrated view of multiple energy sectors is necessary. The coupling of different energy sectors is seen as an option to achieve the climate goals in a cost-effective way. In this paper, a methodical approach for multi-modal energy system planning and technology impact evaluation is presented. A key feature of the model is a coupled consideration of the sectors electricity, heat, fuel and mobility. The modeling framework enables system planners to optimally plan future investments in a detailed transition pathway of the energy system of a country, considering politically defined climate goals. Based on these calculations, in-depth analyses of energy markets as well as electrical transmission and distribution grids can be performed using the presented optimization models. Energy demands, conversion and storage technologies in households, the Commerce, Trade and Services (CTS) area and the industry are modeled employing a bottom-up modeling approach. The results for the optimal planning of the German energy system until 2050 show that the combination of an increased share of renewable energies and the direct electrification of heat and mobility sectors together with the use of synthetic fuels are the main drivers to achieve the climate goals in a cost-efficient way.

Suggested Citation

  • Müller, C. & Hoffrichter, A. & Wyrwoll, L. & Schmitt, C. & Trageser, M. & Kulms, T. & Beulertz, D. & Metzger, M. & Duckheim, M. & Huber, M. & Küppers, M. & Most, D. & Paulus, S. & Heger, H.J. & Schnet, 2019. "Modeling framework for planning and operation of multi-modal energy systems in the case of Germany," Applied Energy, Elsevier, vol. 250(C), pages 1132-1146.
    • Handle: RePEc:eee:appene:v:250:y:2019:i:c:p:1132-1146
    DOI: 10.1016/j.apenergy.2019.05.094
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    References listed on IDEAS

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    1. Palzer, Andreas & Henning, Hans-Martin, 2014. "A comprehensive model for the German electricity and heat sector in a future energy system with a dominant contribution from renewable energy technologies – Part II: Results," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 1019-1034.
    2. van Dyken, Silke & Bakken, Bjorn H. & Skjelbred, Hans I., 2010. "Linear mixed-integer models for biomass supply chains with transport, storage and processing," Energy, Elsevier, vol. 35(3), pages 1338-1350.
    3. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    4. Bakken, Bjorn H. & Skjelbred, Hans I. & Wolfgang, Ove, 2007. "eTransport: Investment planning in energy supply systems with multiple energy carriers," Energy, Elsevier, vol. 32(9), pages 1676-1689.
    5. Ioannou, Anastasia & Fuzuli, Gulistiani & Brennan, Feargal & Yudha, Satya Widya & Angus, Andrew, 2019. "Multi-stage stochastic optimization framework for power generation system planning integrating hybrid uncertainty modelling," Energy Economics, Elsevier, vol. 80(C), pages 760-776.
    6. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    7. Henning, Hans-Martin & Palzer, Andreas, 2014. "A comprehensive model for the German electricity and heat sector in a future energy system with a dominant contribution from renewable energy technologies—Part I: Methodology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 1003-1018.
    8. Andreas Schröder & Friedrich Kunz & Jan Meiss & Roman Mendelevitch & Christian von Hirschhausen, 2013. "Current and Prospective Costs of Electricity Generation until 2050," Data Documentation 68, DIW Berlin, German Institute for Economic Research.
    9. Brown, T. & Schlachtberger, D. & Kies, A. & Schramm, S. & Greiner, M., 2018. "Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system," Energy, Elsevier, vol. 160(C), pages 720-739.
    10. Falke, Tobias & Krengel, Stefan & Meinerzhagen, Ann-Kathrin & Schnettler, Armin, 2016. "Multi-objective optimization and simulation model for the design of distributed energy systems," Applied Energy, Elsevier, vol. 184(C), pages 1508-1516.
    11. Rahmani-Andebili, Mehdi, 2017. "Stochastic, adaptive, and dynamic control of energy storage systems integrated with renewable energy sources for power loss minimization," Renewable Energy, Elsevier, vol. 113(C), pages 1462-1471.
    12. Lund, H. & Möller, B. & Mathiesen, B.V. & Dyrelund, A., 2010. "The role of district heating in future renewable energy systems," Energy, Elsevier, vol. 35(3), pages 1381-1390.
    13. Stadler, M. & Groissböck, M. & Cardoso, G. & Marnay, C., 2014. "Optimizing Distributed Energy Resources and building retrofits with the strategic DER-CAModel," Applied Energy, Elsevier, vol. 132(C), pages 557-567.
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