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Two-phase optimizing approach to design assessments of long distance heat transportation for CHP systems

Author

Listed:
  • Hirsch, Piotr
  • Duzinkiewicz, Kazimierz
  • Grochowski, Michał
  • Piotrowski, Robert

Abstract

Cogeneration or Combined Heat and Power (CHP) for power plants is a method of putting to use waste heat which would be otherwise released to the environment. This allows the increase in thermodynamic efficiency of the plant and can be a source of environmental friendly heat for District Heating (DH). In the paper CHP for Nuclear Power Plant (NPP) is analyzed with the focus on heat transportation. A method for effectivity and feasibility evaluation of the long distance, high power Heat Transportation System (HTS) between the NPP and the DH network is proposed. As a part of the method the multi-criteria decision-making problem, having the structure of the mathematical programming problem, for optimized selection of design and operating parameters of the HTS is formulated. The constraints for this problem include a static model of HTS, that allows considerations of system lifetime, time variability and spatial topology. Thereby variation of annual heat demand within the DH area, variability of ground temperature, insulation and pipe aging and/or terrain elevation profile can be taken into account in the decision-making process. The HTS construction costs, pumping power, and heat losses are considered as objective functions. In general, the analyzed optimization problem is multi-criteria, hybrid and nonlinear. The two-phase optimization based on optimization-simulation framework is proposed to solve the decision-making problem. The solver introduces a number of assumptions concerning the optimization process. Methods for problem decomposition, scalarization and relaxation are proposed and optimization procedures for the decomposed problem are discussed. The methodology is tested on a sample case study of the NPP planned to be built in Northern Poland. The sensitivity analysis of the problem is also provided.

Suggested Citation

  • Hirsch, Piotr & Duzinkiewicz, Kazimierz & Grochowski, Michał & Piotrowski, Robert, 2016. "Two-phase optimizing approach to design assessments of long distance heat transportation for CHP systems," Applied Energy, Elsevier, vol. 182(C), pages 164-176.
    • Handle: RePEc:eee:appene:v:182:y:2016:i:c:p:164-176
    DOI: 10.1016/j.apenergy.2016.08.107
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    References listed on IDEAS

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    1. Dalla Rosa, A. & Li, H. & Svendsen, S., 2011. "Method for optimal design of pipes for low-energy district heating, with focus on heat losses," Energy, Elsevier, vol. 36(5), pages 2407-2418.
    2. Luo, Xiaobo & Wang, Meihong & Oko, Eni & Okezue, Chima, 2014. "Simulation-based techno-economic evaluation for optimal design of CO2 transport pipeline network," Applied Energy, Elsevier, vol. 132(C), pages 610-620.
    3. Tokimatsu, Koji & Konishi, Satoshi & Ishihara, Keiichi & Tezuka, Tetsuo & Yasuoka, Rieko & Nishio, Masahiro, 2016. "Role of innovative technologies under the global zero emissions scenarios," Applied Energy, Elsevier, vol. 162(C), pages 1483-1493.
    4. 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.
    5. Jie, Pengfei & Kong, Xiangfei & Rong, Xian & Xie, Shangqun, 2016. "Selecting the optimum pressure drop per unit length of district heating piping network based on operating strategies," Applied Energy, Elsevier, vol. 177(C), pages 341-353.
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    1. Jaskólski, Marcin & Reński, Andrzej & Minkiewicz, Tomasz, 2017. "Thermodynamic and economic analysis of nuclear power unit operating in partial cogeneration mode to produce electricity and district heat," Energy, Elsevier, vol. 141(C), pages 2470-2483.
    2. Zhang, Chenghu & Li, Yaping, 2017. "Thermodynamic analysis on theoretical models of cycle combined heat exchange process: The reversible heat exchange process," Energy, Elsevier, vol. 124(C), pages 565-578.
    3. Leurent, Martin & Da Costa, Pascal & Jasserand, Frédéric & Rämä, Miika & Persson, Urban, 2018. "Cost and climate savings through nuclear district heating in a French urban area," Energy Policy, Elsevier, vol. 115(C), pages 616-630.
    4. Li, Yemao & Pan, Wenbiao & Xia, Jianjun & Jiang, Yi, 2019. "Combined heat and water system for long-distance heat transportation," Energy, Elsevier, vol. 172(C), pages 401-408.
    5. Leurent, Martin & Da Costa, Pascal & Rämä, Miika & Persson, Urban & Jasserand, Frédéric, 2018. "Cost-benefit analysis of district heating systems using heat from nuclear plants in seven European countries," Energy, Elsevier, vol. 149(C), pages 454-472.
    6. Rämä, Miika & Leurent, Martin & Devezeaux de Lavergne, Jean-Guy, 2020. "Flexible nuclear co-generation plant combined with district heating and a large-scale heat storage," Energy, Elsevier, vol. 193(C).

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