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Storage influence in a combined biomass and power-to-heat district heating production plant

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  • Lamaison, Nicolas
  • Collette, Simon
  • Vallée, Mathieu
  • Bavière, Roland

Abstract

The increasing penetration of wind and solar electricity becomes challenging for grid operators. Interconnecting electrical and thermal networks through the Power-to-Heat concept brings flexibility to the electrical grid while supplying a significant renewable source to District Heating (DH). In the present paper, we study a DH production plant composed of a biomass generator, a heat-pump and a heat storage in the French energetic context. We assess the techno-economic performances of this system using Mixed Integer Linear Programming (MILP). A multi-objective parametric optimization method is applied to size the system using the available quantity of biomass, the maximum CO2 content and minimum renewable energy ratio (REnR) of the heat production as ε-constraints. Our analysis shows that without strong constraints, heat pump and daily storage are used. For a limited amount of biomass available, we also show that investing in an inter-seasonal storage is necessary to reach high REnR. For comparisons, this energy system is also assessed with the Danish and German electric mix. We then verify the sizing stage results on the operational performances of a non-linear numerical simulator. With that methodology, it is possible to evaluate the impact of the MILP modelling level of detail on the obtained results. An error of 5.1% on the production trajectories is here obtained for a given system.

Suggested Citation

  • Lamaison, Nicolas & Collette, Simon & Vallée, Mathieu & Bavière, Roland, 2019. "Storage influence in a combined biomass and power-to-heat district heating production plant," Energy, Elsevier, vol. 186(C).
    • Handle: RePEc:eee:energy:v:186:y:2019:i:c:s0360544219313714
    DOI: 10.1016/j.energy.2019.07.044
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    Citations

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    Cited by:

    1. Gonzalez-Salazar, Miguel & Klossek, Julia & Dubucq, Pascal & Punde, Thomas, 2023. "Portfolio optimization in district heating: Merit order or mixed integer linear programming?," Energy, Elsevier, vol. 265(C).
    2. Sihvonen, Ville & Ollila, Iisa & Jaanto, Jasmin & Grönman, Aki & Honkapuro, Samuli & Riikonen, Juhani & Price, Alisdair, 2024. "Role of power-to-heat and thermal energy storage in decarbonization of district heating," Energy, Elsevier, vol. 305(C).
    3. Monie, Svante W. & Åberg, Magnus, 2023. "Potential to balance load variability, induced by renewable power, using rock cavern thermal energy storage, heat pumps, and combined heat and power in Sweden," Applied Energy, Elsevier, vol. 343(C).
    4. Dessì, Federica & Mureddu, Mauro & Ferrara, Francesca & Fermoso, Javier & Orsini, Alessandro & Sanna, Aimaro & Pettinau, Alberto, 2021. "Thermogravimetric characterisation and kinetic analysis of Nannochloropsis sp. and Tetraselmis sp. microalgae for pyrolysis, combustion and oxy-combustion," Energy, Elsevier, vol. 217(C).
    5. Nielsen, Tore Bach & Lund, Henrik & Østergaard, Poul Alberg & Duic, Neven & Mathiesen, Brian Vad, 2021. "Perspectives on energy efficiency and smart energy systems from the 5th SESAAU2019 conference," Energy, Elsevier, vol. 216(C).
    6. Ronelly De Souza & Emanuele Nadalon & Melchiorre Casisi & Mauro Reini, 2022. "Optimal Sharing Electricity and Thermal Energy Integration for an Energy Community in the Perspective of 100% RES Scenario," Sustainability, MDPI, vol. 14(16), pages 1-39, August.
    7. Kavian, Soheil & Hakkaki-Fard, Ali & Jafari Mosleh, Hassan, 2020. "Energy performance and economic feasibility of hot spring-based district heating system – A case study," Energy, Elsevier, vol. 211(C).
    8. Leitner, Benedikt & Widl, Edmund & Gawlik, Wolfgang & Hofmann, René, 2020. "Control assessment in coupled local district heating and electrical distribution grids: Model predictive control of electric booster heaters," Energy, Elsevier, vol. 210(C).
    9. Cuisinier, Étienne & Lemaire, Pierre & Penz, Bernard & Ruby, Alain & Bourasseau, Cyril, 2022. "New rolling horizon optimization approaches to balance short-term and long-term decisions: An application to energy planning," Energy, Elsevier, vol. 245(C).
    10. Wu, Di & Han, Zhonghe & Liu, Zhijian & Li, Peng & Ma, Fanfan & Zhang, Han & Yin, Yunxing & Yang, Xinyan, 2021. "Comparative study of optimization method and optimal operation strategy for multi-scenario integrated energy system," Energy, Elsevier, vol. 217(C).
    11. Dorotić, Hrvoje & Ban, Marko & Pukšec, Tomislav & Duić, Neven, 2020. "Impact of wind penetration in electricity markets on optimal power-to-heat capacities in a local district heating system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    12. Soltero, V.M. & Quirosa, Gonzalo & Peralta, M.E. & Chacartegui, Ricardo & Torres, Miguel, 2022. "A biomass universal district heating model for sustainability evaluation for geographical areas with early experience," Energy, Elsevier, vol. 242(C).

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