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Experiences in mid-term planning of district heating systems

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  • Dotzauer, Erik

Abstract

District heating systems often consist of two types of units: those that only produce heat, and those that produce both heat and power, called combined heat and power units. In order to improve the operation of such systems, detailed and reliable optimization models and methods must be available. The present paper considers mid-term planning, i.e. planning of the production of heat and power for periods of up to one month. Problem features and the questions relevant on the mid-term horizon are discussed. These include the operation of fuel storage and the influence of the national tax system. A mixed integer programming model of a set of district heating systems in Sweden is developed. The major goal is to minimize the operation cost, subject to the condition of fulfilling heat demands. The main output results are the power produced and consumed each day of the planning horizon. This is important information for the hedging activities performed in the financial power market. The model has been used regularly to support an energy company with production plans. Computational results are presented.

Suggested Citation

  • Dotzauer, Erik, 2003. "Experiences in mid-term planning of district heating systems," Energy, Elsevier, vol. 28(15), pages 1545-1555.
    • Handle: RePEc:eee:energy:v:28:y:2003:i:15:p:1545-1555
    DOI: 10.1016/S0360-5442(03)00151-8
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    1. John A. Muckstadt & Sherri A. Koenig, 1977. "An Application of Lagrangian Relaxation to Scheduling in Power-Generation Systems," Operations Research, INFORMS, vol. 25(3), pages 387-403, June.
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    1. Lozano, Miguel A. & Ramos, Jose C. & Serra, Luis M., 2010. "Cost optimization of the design of CHCP (combined heat, cooling and power) systems under legal constraints," Energy, Elsevier, vol. 35(2), pages 794-805.
    2. Keirstead, James & Jennings, Mark & Sivakumar, Aruna, 2012. "A review of urban energy system models: Approaches, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3847-3866.
    3. Alkasmoul, Fahad & Asaker, Mohammed & Widuch, Aleksander & Malicki, Marcin & Zwierzchowski, Ryszard & Wołowicz, Marcin, 2023. "Multigeneration source based on novel triple-component chiller configuration co-supplied with renewable and fossil energy operated in Arabic Peninsula conditions," Energy, Elsevier, vol. 263(PC).
    4. Djuric Ilic, Danica & Dotzauer, Erik & Trygg, Louise, 2012. "District heating and ethanol production through polygeneration in Stockholm," Applied Energy, Elsevier, vol. 91(1), pages 214-221.
    5. Colmenar-Santos, Antonio & Rosales-Asensio, Enrique & Borge-Diez, David & Collado-Fernández, Eduardo, 2016. "Evaluation of the cost of using power plant reject heat in low-temperature district heating and cooling networks," Applied Energy, Elsevier, vol. 162(C), pages 892-907.
    6. Jae-Ki Byun & Young-Don Choi & Jong-Keun Shin & Myung-Ho Park & Dong-Kurl Kwak, 2012. "Study on the Development of an Optimal Heat Supply Control Algorithm for Group Energy Apartment Buildings According to the Variation of Outdoor Air Temperature," Energies, MDPI, vol. 5(5), pages 1-19, May.
    7. Théry Hétreux, Raphaële & Hétreux, Gilles & Floquet, Pascal & Leclercq, Alexandre, 2021. "The energy Extended Resource Task Network, a general formalism for the modeling of production systems:Application to waste heat valorization," Energy, Elsevier, vol. 214(C).
    8. Brkić, Dejan & Tanasković, Toma I., 2008. "Systematic approach to natural gas usage for domestic heating in urban areas," Energy, Elsevier, vol. 33(12), pages 1738-1753.
    9. Jalilinasrabady, Saeid & Palsson, Halldor & Saevarsdottir, Gudrun & Itoi, Ryuichi & Valdimarsson, Pall, 2013. "Experimental and CFD simulation of heat efficiency improvement in geothermal spas," Energy, Elsevier, vol. 56(C), pages 124-134.
    10. Piotr Pałka & Marcin Malec & Przemysław Kaszyński & Jacek Kamiński & Piotr Saługa, 2023. "District Heating System Optimisation: A Three-Phase Thermo-Hydraulic Linear Model," Energies, MDPI, vol. 16(8), pages 1-18, April.
    11. Capuder, Tomislav & Mancarella, Pierluigi, 2014. "Techno-economic and environmental modelling and optimization of flexible distributed multi-generation options," Energy, Elsevier, vol. 71(C), pages 516-533.
    12. 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.
    13. Rong, Aiying & Lahdelma, Risto & Luh, Peter B., 2008. "Lagrangian relaxation based algorithm for trigeneration planning with storages," European Journal of Operational Research, Elsevier, vol. 188(1), pages 240-257, July.
    14. Henning, Dag & Amiri, Shahnaz & Holmgren, Kristina, 2006. "Modelling and optimisation of electricity, steam and district heating production for a local Swedish utility," European Journal of Operational Research, Elsevier, vol. 175(2), pages 1224-1247, December.
    15. Blarke, Morten B. & Dotzauer, Erik, 2011. "Intermittency-friendly and high-efficiency cogeneration: Operational optimisation of cogeneration with compression heat pump, flue gas heat recovery, and intermediate cold storage," Energy, Elsevier, vol. 36(12), pages 6867-6878.
    16. Åberg, M. & Widén, J. & Henning, D., 2012. "Sensitivity of district heating system operation to heat demand reductions and electricity price variations: A Swedish example," Energy, Elsevier, vol. 41(1), pages 525-540.
    17. Torchio, Marco F. & Genon, Giuseppe & Poggio, Alberto & Poggio, Marco, 2009. "Merging of energy and environmental analyses for district heating systems," Energy, Elsevier, vol. 34(3), pages 220-227.

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