IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v207y2023icp218-233.html
   My bibliography  Save this article

Geothermal trigeneration systems with Organic Rankine Cycles: Evaluation of different plant configurations considering part load behaviour

Author

Listed:
  • Schifflechner, Christopher
  • Kuhnert, Lara
  • Irrgang, Ludwig
  • Dawo, Fabian
  • Kaufmann, Florian
  • Wieland, Christoph
  • Spliethoff, Hartmut

Abstract

Due to the increasing importance of cooling applications, geothermal trigeneration systems might be of high interest in the future. This work aims at evaluating different plant layouts against the background of more advanced plant configurations and part load behaviour. Five different plant configurations are analysed for geothermal heat source temperatures between 110 and 150 °C. The highest net power output is achieved by an advanced serial-parallel configuration (ASPC), but in case of high heating and cooling demand, a standard serial-parallel configuration is more favourable. For the considered base demand scenario of 130 °C, the ASPC results in an annual net power generation of 20.94 GWh, which is 6.9% higher than the second favourable configuration. The application of a recuperator within the ORC system has a significant impact on the serial concepts, but only marginally increases the power output of the parallel layouts. Comparing two exergetic efficiencies highlights that the assumed definition can result in a different ranking of the plant layouts. Considering the exergy that is transferred from the brine to the trigeneration system reveals the highest exergetic efficiency for a serial configuration, while the focus on the available exergy flow reveals the highest efficiency for the ASPC layout. Considering a brine temperature of 130 °C results in a maximal achievable second law efficiency of 34.1% if evaluating the available exergy flow. The evaluation of the pay-back period reveals that the ASPC results in the shortest pay-back period of 13.8 years.

Suggested Citation

  • Schifflechner, Christopher & Kuhnert, Lara & Irrgang, Ludwig & Dawo, Fabian & Kaufmann, Florian & Wieland, Christoph & Spliethoff, Hartmut, 2023. "Geothermal trigeneration systems with Organic Rankine Cycles: Evaluation of different plant configurations considering part load behaviour," Renewable Energy, Elsevier, vol. 207(C), pages 218-233.
    • Handle: RePEc:eee:renene:v:207:y:2023:i:c:p:218-233
    DOI: 10.1016/j.renene.2023.02.042
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148123001866
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2023.02.042?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Menberg, Kathrin & Heberle, Florian & Bott, Christoph & Brüggemann, Dieter & Bayer, Peter, 2021. "Environmental performance of a geothermal power plant using a hydrothermal resource in the Southern German Molasse Basin," Renewable Energy, Elsevier, vol. 167(C), pages 20-31.
    2. 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.
    3. Dawo, Fabian & Fleischmann, Jonas & Kaufmann, Florian & Schifflechner, Christopher & Eyerer, Sebastian & Wieland, Christoph & Spliethoff, Hartmut, 2021. "R1224yd(Z), R1233zd(E) and R1336mzz(Z) as replacements for R245fa: Experimental performance, interaction with lubricants and environmental impact," Applied Energy, Elsevier, vol. 288(C).
    4. Somers, C. & Mortazavi, A. & Hwang, Y. & Radermacher, R. & Rodgers, P. & Al-Hashimi, S., 2011. "Modeling water/lithium bromide absorption chillers in ASPEN Plus," Applied Energy, Elsevier, vol. 88(11), pages 4197-4205.
    5. Manente, Giovanni & Toffolo, Andrea & Lazzaretto, Andrea & Paci, Marco, 2013. "An Organic Rankine Cycle off-design model for the search of the optimal control strategy," Energy, Elsevier, vol. 58(C), pages 97-106.
    6. Eyerer, Sebastian & Dawo, Fabian & Wieland, Christoph & Spliethoff, Hartmut, 2020. "Advanced ORC architecture for geothermal combined heat and power generation," Energy, Elsevier, vol. 205(C).
    7. Świerzewski, Mateusz & Kalina, Jacek, 2020. "Optimisation of biomass-fired cogeneration plants using ORC technology," Renewable Energy, Elsevier, vol. 159(C), pages 195-214.
    8. Wonchala, Jason & Hazledine, Maxwell & Goni Boulama, Kiari, 2014. "Solution procedure and performance evaluation for a water–LiBr absorption refrigeration machine," Energy, Elsevier, vol. 65(C), pages 272-284.
    9. Lee, Inkyu & Tester, Jefferson William & You, Fengqi, 2019. "Systems analysis, design, and optimization of geothermal energy systems for power production and polygeneration: State-of-the-art and future challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 551-577.
    10. Neves, Rebecca & Cho, Heejin & Zhang, Jian, 2021. "State of the nation: Customizing energy and finances for geothermal technology in the United States residential sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    11. Kang, Seok Hun, 2016. "Design and preliminary tests of ORC (organic Rankine cycle) with two-stage radial turbine," Energy, Elsevier, vol. 96(C), pages 142-154.
    12. Wu, Qiong & Ren, Hongbo & Gao, Weijun & Weng, Peifen & Ren, Jianxing, 2018. "Design and operation optimization of organic Rankine cycle coupled trigeneration systems," Energy, Elsevier, vol. 142(C), pages 666-677.
    13. Eyerer, S. & Schifflechner, C. & Hofbauer, S. & Bauer, W. & Wieland, C. & Spliethoff, H., 2020. "Combined heat and power from hydrothermal geothermal resources in Germany: An assessment of the potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    14. Braimakis, Konstantinos & Karellas, Sotirios, 2018. "Exergetic optimization of double stage Organic Rankine Cycle (ORC)," Energy, Elsevier, vol. 149(C), pages 296-313.
    15. Eyerer, Sebastian & Dawo, Fabian & Schifflechner, Christopher & Niederdränk, Anne & Spliethoff, Hartmut & Wieland, Christoph, 2022. "Experimental evaluation of an ORC-CHP architecture based on regenerative preheating for geothermal applications," Applied Energy, Elsevier, vol. 315(C).
    16. 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.
    17. Akrami, Ehsan & Chitsaz, Ata & Nami, Hossein & Mahmoudi, S.M.S., 2017. "Energetic and exergoeconomic assessment of a multi-generation energy system based on indirect use of geothermal energy," Energy, Elsevier, vol. 124(C), pages 625-639.
    18. 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.
    19. Calise, Francesco & Cappiello, Francesco L. & Dentice d'Accadia, Massimo & Vicidomini, Maria, 2021. "Thermo-economic optimization of a novel hybrid renewable trigeneration plant," Renewable Energy, Elsevier, vol. 175(C), pages 532-549.
    20. Lund, Henrik & Werner, Sven & Wiltshire, Robin & Svendsen, Svend & Thorsen, Jan Eric & Hvelplund, Frede & Mathiesen, Brian Vad, 2014. "4th Generation District Heating (4GDH)," Energy, Elsevier, vol. 68(C), pages 1-11.
    21. Morais, Pedro Henrique da Silva & Lodi, Andressa & Aoki, Adriana Cristine & Modesto, Marcelo, 2020. "Energy, exergetic and economic analyses of a combined solar-biomass-ORC cooling cogeneration systems for a Brazilian small plant," Renewable Energy, Elsevier, vol. 157(C), pages 1131-1147.
    22. Feng, Yongqiang & Zhang, Yaning & Li, Bingxi & Yang, Jinfu & Shi, Yang, 2015. "Sensitivity analysis and thermoeconomic comparison of ORCs (organic Rankine cycles) for low temperature waste heat recovery," Energy, Elsevier, vol. 82(C), pages 664-677.
    23. Roumpedakis, Tryfon C. & Loumpardis, George & Monokrousou, Evropi & Braimakis, Konstantinos & Charalampidis, Antonios & Karellas, Sotirios, 2020. "Exergetic and economic analysis of a solar driven small scale ORC," Renewable Energy, Elsevier, vol. 157(C), pages 1008-1024.
    24. 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.
    25. Dawo, Fabian & Wieland, Christoph & Spliethoff, Hartmut, 2019. "Kalina power plant part load modeling: Comparison of different approaches to model part load behavior and validation on real operating data," Energy, Elsevier, vol. 174(C), pages 625-637.
    26. Heberle, Florian & Hofer, Markus & Ürlings, Nicolas & Schröder, Hartwig & Anderlohr, Thomas & Brüggemann, Dieter, 2017. "Techno-economic analysis of a solar thermal retrofit for an air-cooled geothermal Organic Rankine Cycle power plant," Renewable Energy, Elsevier, vol. 113(C), pages 494-502.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eyerer, Sebastian & Dawo, Fabian & Wieland, Christoph & Spliethoff, Hartmut, 2020. "Advanced ORC architecture for geothermal combined heat and power generation," Energy, Elsevier, vol. 205(C).
    2. Eyerer, Sebastian & Dawo, Fabian & Schifflechner, Christopher & Niederdränk, Anne & Spliethoff, Hartmut & Wieland, Christoph, 2022. "Experimental evaluation of an ORC-CHP architecture based on regenerative preheating for geothermal applications," Applied Energy, Elsevier, vol. 315(C).
    3. 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.
    4. Li, Xiaoya & Xu, Bin & Tian, Hua & Shu, Gequn, 2021. "Towards a novel holistic design of organic Rankine cycle (ORC) systems operating under heat source fluctuations and intermittency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    5. Mahmoudan, Alireza & Samadof, Parviz & Hosseinzadeh, Siamak & Garcia, Davide Astiaso, 2021. "A multigeneration cascade system using ground-source energy with cold recovery: 3E analyses and multi-objective optimization," Energy, Elsevier, vol. 233(C).
    6. Schifflechner, Christopher & Dawo, Fabian & Eyerer, Sebastian & Wieland, Christoph & Spliethoff, Hartmut, 2020. "Thermodynamic comparison of direct supercritical CO2 and indirect brine-ORC concepts for geothermal combined heat and power generation," Renewable Energy, Elsevier, vol. 161(C), pages 1292-1302.
    7. Chen, Heng & Wang, Yihan & Li, Jiarui & Xu, Gang & Lei, Jing & Liu, Tong, 2022. "Thermodynamic analysis and economic assessment of an improved geothermal power system integrated with a biomass-fired cogeneration plant," Energy, Elsevier, vol. 240(C).
    8. Shuozhuo Hu & Zhen Yang & Jian Li & Yuanyuan Duan, 2021. "A Review of Multi-Objective Optimization in Organic Rankine Cycle (ORC) System Design," Energies, MDPI, vol. 14(20), pages 1-36, October.
    9. 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.
    10. Wang, Yongzhen & Li, Chengjun & Zhao, Jun & Wu, Boyuan & Du, Yanping & Zhang, Jing & Zhu, Yilin, 2021. "The above-ground strategies to approach the goal of geothermal power generation in China: State of art and future researches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    11. Dawo, Fabian & Fleischmann, Jonas & Kaufmann, Florian & Schifflechner, Christopher & Eyerer, Sebastian & Wieland, Christoph & Spliethoff, Hartmut, 2021. "R1224yd(Z), R1233zd(E) and R1336mzz(Z) as replacements for R245fa: Experimental performance, interaction with lubricants and environmental impact," Applied Energy, Elsevier, vol. 288(C).
    12. Pili, R. & Eyerer, S. & Dawo, F. & Wieland, C. & Spliethoff, H., 2020. "Development of a non-linear state estimator for advanced control of an ORC test rig for geothermal application," Renewable Energy, Elsevier, vol. 161(C), pages 676-690.
    13. Hu, Shuozhuo & Yang, Zhen & Li, Jian & Duan, Yuanyuan, 2022. "Optimal solar thermal retrofit for geothermal power systems considering the lifetime brine degradation," Renewable Energy, Elsevier, vol. 186(C), pages 628-645.
    14. Bamorovat Abadi, Gholamreza & Kim, Kyung Chun, 2017. "Investigation of organic Rankine cycles with zeotropic mixtures as a working fluid: Advantages and issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1000-1013.
    15. Cao, Yan & Dhahad, Hayder A. & Alsharif, Sameer & Sharma, Kamal & El.Shafy, Asem Saleh & Farhang, Babak & Mohammed, Adil Hussein, 2022. "Multi-objective optimizations and exergoeconomic analyses of a high-efficient bi-evaporator multigeneration system with freshwater unit," Renewable Energy, Elsevier, vol. 191(C), pages 699-714.
    16. Xia, Xiaoxia & Liu, Zhipeng & Wang, Zhiqi & Sun, Tong & Zhang, Hualong & Zhang, Sifeng, 2023. "Thermo-economic-environmental optimization design of dual-loop organic Rankine cycle under fluctuating heat source temperature," Energy, Elsevier, vol. 264(C).
    17. 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.
    18. Braimakis, Konstantinos & Karellas, Sotirios, 2017. "Integrated thermoeconomic optimization of standard and regenerative ORC for different heat source types and capacities," Energy, Elsevier, vol. 121(C), pages 570-598.
    19. Ping, Xu & Yao, Baofeng & Zhang, Hongguang & Yang, Fubin, 2021. "Thermodynamic analysis and high-dimensional evolutionary many-objective optimization of dual loop organic Rankine cycle (DORC) for CNG engine waste heat recovery," Energy, Elsevier, vol. 236(C).
    20. Mohan, Sooraj & Dinesha, P. & Campana, Pietro Elia, 2022. "ANN-PSO aided selection of hydrocarbons as working fluid for low-temperature organic Rankine cycle and thermodynamic evaluation of optimal working fluid," Energy, Elsevier, vol. 259(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:207:y:2023:i:c:p:218-233. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.