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Optimal configuration for a low-temperature geothermal CHP plant based on thermoeconomic optimization

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  • Van Erdeweghe, Sarah
  • Van Bael, Johan
  • Laenen, Ben
  • D'haeseleer, William

Abstract

In this paper, we propose a thermoeconomic optimization procedure for four configurations of low-temperature geothermal combined heat-and-power (CHP) plants. The series, parallel, preheat-parallel and HB4 configurations are investigated. Electricity is produced via an organic Rankine cycle (ORC) and two types of district heating (DH) systems are considered for the heat delivery: a 90/60 and a 65/40 DH system. The objective is to maximize the net present value (NPV) of the CHP plant for given DH system requirements. We conclude that, under the assumptions considered, the NPV can be increased from −2.81MEUR (unprofitable) for a stand-alone electrical power plant to 12.5, 28 and 58MEUR (economically feasible) for the optimal CHP, and for a heat demand of 5, 10 and 20 MW th, respectively. Also, the exergetic plant efficiency is higher for the CHP plants, which means that the geothermal energy source can be utilized in a better way. Furthermore, we have found that the series CHP is generally the optimal CHP configuration. Only for the 90/60 DH system and low heat demands, the HB4 is more suitable. Compared to the simple series and parallel CHPs, the HB4 configuration has a 16% and 5.5% higher NPV, for heat demands of 5 and 10 MW th, respectively.

Suggested Citation

  • Van Erdeweghe, Sarah & Van Bael, Johan & Laenen, Ben & D'haeseleer, William, 2019. "Optimal configuration for a low-temperature geothermal CHP plant based on thermoeconomic optimization," Energy, Elsevier, vol. 179(C), pages 323-335.
  • Handle: RePEc:eee:energy:v:179:y:2019:i:c:p:323-335
    DOI: 10.1016/j.energy.2019.04.205
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    References listed on IDEAS

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    1. Van Erdeweghe, Sarah & Van Bael, Johan & Laenen, Ben & D’haeseleer, William, 2019. "Design and off-design optimization procedure for low-temperature geothermal organic Rankine cycles," Applied Energy, Elsevier, vol. 242(C), pages 716-731.
    2. Wieland, Christoph & Meinel, Dominik & Eyerer, Sebastian & Spliethoff, Hartmut, 2016. "Innovative CHP concept for ORC and its benefit compared to conventional concepts," Applied Energy, Elsevier, vol. 183(C), pages 478-490.
    3. Marty, Fabien & Serra, Sylvain & Sochard, Sabine & Reneaume, Jean-Michel, 2018. "Simultaneous optimization of the district heating network topology and the Organic Rankine Cycle sizing of a geothermal plant," Energy, Elsevier, vol. 159(C), pages 1060-1074.
    4. Habka, Muhsen & Ajib, Salman, 2014. "Investigation of novel, hybrid, geothermal-energized cogeneration plants based on organic Rankine cycle," Energy, Elsevier, vol. 70(C), pages 212-222.
    5. Van Erdeweghe, Sarah & Van Bael, Johan & Laenen, Ben & D'haeseleer, William, 2018. "Optimal combined heat-and-power plant for a low-temperature geothermal source," Energy, Elsevier, vol. 150(C), pages 396-409.
    6. Manente, Giovanni & Da Lio, Luca & Lazzaretto, Andrea, 2016. "Influence of axial turbine efficiency maps on the performance of subcritical and supercritical Organic Rankine Cycle systems," Energy, Elsevier, vol. 107(C), pages 761-772.
    7. Van Erdeweghe, Sarah & Van Bael, Johan & Laenen, Ben & D'haeseleer, William, 2017. "Comparison of series/parallel configuration for a low-T geothermal CHP plant, coupled to thermal networks," Renewable Energy, Elsevier, vol. 111(C), pages 494-505.
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    5. Menberg, Kathrin & Heberle, Florian & Uhrmann, Hannah & Bott, Christoph & Grünäugl, Sebastian & Brüggemann, Dieter & Bayer, Peter, 2023. "Environmental impact of cogeneration in binary geothermal plants," Renewable Energy, Elsevier, vol. 218(C).
    6. Shiyang Teng & Yong-Qiang Feng & Tzu-Chen Hung & Huan Xi, 2021. "Multi-Objective Optimization and Fluid Selection of Different Cogeneration of Heat and Power Systems Based on Organic Rankine Cycle," Energies, MDPI, vol. 14(16), pages 1-22, August.
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    8. Wang, Shuhang & Wang, Xu & Fu, Zhenghui & Liu, Feng & Xu, Ye & Li, Wei, 2022. "A novel energy-water nexus based CHP operation optimization model under water shortage," Energy, Elsevier, vol. 239(PA).

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