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Merit order or unit-commitment: How does thermal power plant modeling affect storage demand in energy system models?

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  • Cebulla, F.
  • Fichter, T.

Abstract

Flexibility requirements in prospective energy systems will increase to balance intermittent electricity generation from renewable energies. One option to tackle this problem is electricity storage. Its demand quantification often relies on optimization models for thermal and renewable dispatch and capacity expansion. Within these tools, power plant modeling is typically based on simplified linear programming merit order dispatch (LP) or mixed-integer unit-commitment with economic dispatch (MILP). While the latter is able to capture techno-economic characteristics to a large extent (e.g. ramping or start-up costs) and allows on/off decision of generator units, LP is a simplified method, but superior in computational effort.

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  • Cebulla, F. & Fichter, T., 2017. "Merit order or unit-commitment: How does thermal power plant modeling affect storage demand in energy system models?," Renewable Energy, Elsevier, vol. 105(C), pages 117-132.
  • Handle: RePEc:eee:renene:v:105:y:2017:i:c:p:117-132
    DOI: 10.1016/j.renene.2016.12.043
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    4. Karl-Kiên Cao & Kai von Krbek & Manuel Wetzel & Felix Cebulla & Sebastian Schreck, 2019. "Classification and Evaluation of Concepts for Improving the Performance of Applied Energy System Optimization Models," Energies, MDPI, vol. 12(24), pages 1-51, December.
    5. Chyong, Chi Kong & Newbery, David, 2022. "A unit commitment and economic dispatch model of the GB electricity market – Formulation and application to hydro pumped storage," Energy Policy, Elsevier, vol. 170(C).
    6. Biéron, M. & Le Dréau, J. & Haas, B., 2023. "Assessment of the marginal technologies reacting to demand response events: A French case-study," Energy, Elsevier, vol. 275(C).
    7. Shirizadeh, Behrang & Quirion, Philippe, 2021. "Low-carbon options for the French power sector: What role for renewables, nuclear energy and carbon capture and storage?," Energy Economics, Elsevier, vol. 95(C).
    8. van Ouwerkerk, Jonas & Gils, Hans Christian & Gardian, Hedda & Kittel, Martin & Schill, Wolf-Peter & Zerrahn, Alexander & Murmann, Alexander & Launer, Jann & Torralba-Díaz, Laura & Bußar, Christian, 2022. "Impacts of power sector model features on optimal capacity expansion: A comparative study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    9. McPherson, Madeleine & Johnson, Nils & Strubegger, Manfred, 2018. "The role of electricity storage and hydrogen technologies in enabling global low-carbon energy transitions," Applied Energy, Elsevier, vol. 216(C), pages 649-661.
    10. Jiang, Sufan & Wu, Chuanshen & Gao, Shan & Pan, Guangsheng & Liu, Yu & Zhao, Xin & Wang, Sicheng, 2022. "Robust frequency risk-constrained unit commitment model for AC-DC system considering wind uncertainty," Renewable Energy, Elsevier, vol. 195(C), pages 395-406.
    11. van Ouwerkerk, Jonas & Hainsch, Karlo & Candas, Soner & Muschner, Christoph & Buchholz, Stefanie & Günther, Stephan & Huyskens, Hendrik & Berendes, Sarah & Löffler, Konstantin & Bußar, Christian & Tar, 2022. "Comparing open source power system models - A case study focusing on fundamental modeling parameters for the German energy transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    12. Harada, Kosuke & Yabe, Kuniaki & Takami, Hirofumi & Goto, Akira & Sato, Yasushi & Hayashi, Yasuhiro, 2023. "Two-step approach for quasi-optimization of energy storage and transportation at renewable energy site," Renewable Energy, Elsevier, vol. 211(C), pages 846-858.
    13. Payal Mitra & Soumendu Sarkar & Tarun Mehta & Atul Kumar, 2022. "Unit Commitment in a Federalized Power Market: A Mixed Integer Programming Approach," Working papers 323, Centre for Development Economics, Delhi School of Economics.
    14. Reichenberg, Lina & Hedenus, Fredrik & Mattsson, Niclas & Verendel, Vilhelm, 2022. "Deep decarbonization and the supergrid – Prospects for electricity transmission between Europe and China," Energy, Elsevier, vol. 239(PE).
    15. Kan, Xiaoming & Hedenus, Fredrik & Reichenberg, Lina, 2020. "The cost of a future low-carbon electricity system without nuclear power – the case of Sweden," Energy, Elsevier, vol. 195(C).

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