IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i13p3388-d379145.html
   My bibliography  Save this article

Thermodynamic Optimization of a Waste Heat Power System under Economic Constraint

Author

Listed:
  • Liya Ren

    (MOE Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, School of Mechanical Engineering, Tianjin University, Tianjin 300350, China)

  • Jianyu Liu

    (MOE Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, School of Mechanical Engineering, Tianjin University, Tianjin 300350, China)

  • Huaixin Wang

    (MOE Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, School of Mechanical Engineering, Tianjin University, Tianjin 300350, China)

Abstract

A novel thermo-economic performance indicator for a waste heat power system, namely, MPC, is proposed in this study, which denotes the maximum net power output with the constraint of EPC ≤ EPC 0 , where EPC is the electricity production cost of the system and EPC 0 refers to the EPC of conventional fossil fuel power plants. The organic and steam Rankine cycle (ORC, SRC) systems driven by the flue gas are optimized to maximize the net power output with the constraint of EPC ≤ EPC 0 by using the Non-dominated Sorting Genetic Algorithm-II (NSGA-II). The optimization process entails the design of the heat exchangers, the instantaneous calculation of the turbine efficiency, and the system cost estimation based on the Aspen Process Economic Analyzer. Six organic fluids, n-butane, R245fa, n-pentane, cyclo-pentane, MM (Hexamethyldisiloxane), and toluene, are considered for the ORC system. Results indicate that the MPC of the ORC system using cyclo-pentane is 39.7% higher than that of the SRC system under the waste heat source from a cement plant with an initial temperature of 360 °C and mass flow rate of 42.15 kg/s. The precondition of the application of the waste heat power system is EPC ≤ EPC 0 , and the minimum heat source temperatures to satisfy this condition for ORC and SRC systems are obtained. Finally, the selection map of ORC versus SRC based on their thermo-economic performance in terms of the heat source conditions is provided.

Suggested Citation

  • Liya Ren & Jianyu Liu & Huaixin Wang, 2020. "Thermodynamic Optimization of a Waste Heat Power System under Economic Constraint," Energies, MDPI, vol. 13(13), pages 1-23, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:13:p:3388-:d:379145
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/13/3388/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/13/3388/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Tianyou & Zhang, Yajun & Peng, Zhijun & Shu, Gequn, 2011. "A review of researches on thermal exhaust heat recovery with Rankine cycle," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2862-2871, August.
    2. Astolfi, Marco & Romano, Matteo C. & Bombarda, Paola & Macchi, Ennio, 2014. "Binary ORC (organic Rankine cycles) power plants for the exploitation of medium–low temperature geothermal sources – Part A: Thermodynamic optimization," Energy, Elsevier, vol. 66(C), pages 423-434.
    3. F. Tchanche, Bertrand & Pétrissans, M. & Papadakis, G., 2014. "Heat resources and organic Rankine cycle machines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1185-1199.
    4. Astolfi, Marco & Romano, Matteo C. & Bombarda, Paola & Macchi, Ennio, 2014. "Binary ORC (Organic Rankine Cycles) power plants for the exploitation of medium–low temperature geothermal sources – Part B: Techno-economic optimization," Energy, Elsevier, vol. 66(C), pages 435-446.
    5. Lecompte, S. & Huisseune, H. & van den Broek, M. & De Schampheleire, S. & De Paepe, M., 2013. "Part load based thermo-economic optimization of the Organic Rankine Cycle (ORC) applied to a combined heat and power (CHP) system," Applied Energy, Elsevier, vol. 111(C), pages 871-881.
    6. Toffolo, Andrea & Lazzaretto, Andrea & Manente, Giovanni & Paci, Marco, 2014. "A multi-criteria approach for the optimal selection of working fluid and design parameters in Organic Rankine Cycle systems," Applied Energy, Elsevier, vol. 121(C), pages 219-232.
    7. Karellas, S. & Leontaritis, A.-D. & Panousis, G. & Bellos, E. & Kakaras, E., 2013. "Energetic and exergetic analysis of waste heat recovery systems in the cement industry," Energy, Elsevier, vol. 58(C), pages 147-156.
    8. Li, Chengyu & Wang, Huaixin, 2016. "Power cycles for waste heat recovery from medium to high temperature flue gas sources – from a view of thermodynamic optimization," Applied Energy, Elsevier, vol. 180(C), pages 707-721.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Konstantin Osintsev & Sergei Aliukov & Sulpan Kuskarbekova & Tatyana Tarasova & Aleksandr Karelin & Vladimir Konchakov & Olga Kornyakova, 2023. "Increasing Thermal Efficiency: Methods, Case Studies, and Integration of Heat Exchangers with Renewable Energy Sources and Heat Pumps for Desalination," Energies, MDPI, vol. 16(13), pages 1-36, June.
    2. Wanming Pan & Junkang Li & Guotao Zhang & Le Zhou & Ming Tu, 2022. "Multi-Objective Optimization of Organic Rankine Cycle (ORC) for Tractor Waste Heat Recovery Based on Particle Swarm Optimization," Energies, MDPI, vol. 15(18), pages 1-24, September.

    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. Liya Ren & Huaixin Wang, 2019. "Parametric Optimization and Thermodynamic Performance Comparison of Organic Trans-Critical Cycle, Steam Flash Cycle, and Steam Dual-Pressure Cycle for Waste Heat Recovery," Energies, MDPI, vol. 12(24), pages 1-22, December.
    2. Steven Lecompte & Sanne Lemmens & Henk Huisseune & Martijn Van den Broek & Michel De Paepe, 2015. "Multi-Objective Thermo-Economic Optimization Strategy for ORCs Applied to Subcritical and Transcritical Cycles for Waste Heat Recovery," Energies, MDPI, vol. 8(4), pages 1-28, April.
    3. Sanne Lemmens, 2016. "Cost Engineering Techniques and Their Applicability for Cost Estimation of Organic Rankine Cycle Systems," Energies, MDPI, vol. 9(7), pages 1-18, June.
    4. Lecompte, S. & Huisseune, H. & van den Broek, M. & De Paepe, M., 2015. "Methodical thermodynamic analysis and regression models of organic Rankine cycle architectures for waste heat recovery," Energy, Elsevier, vol. 87(C), pages 60-76.
    5. Li, Jing & Gao, Guangtao & Kutlu, Cagri & Liu, Keliang & Pei, Gang & Su, Yuehong & Ji, Jie & Riffat, Saffa, 2019. "A novel approach to thermal storage of direct steam generation solar power systems through two-step heat discharge," Applied Energy, Elsevier, vol. 236(C), pages 81-100.
    6. Li, Jing & Alvi, Jahan Zeb & Pei, Gang & Su, Yuehong & Li, Pengcheng & Gao, Guangtao & Ji, Jie, 2016. "Modelling of organic Rankine cycle efficiency with respect to the equivalent hot side temperature," Energy, Elsevier, vol. 115(P1), pages 668-683.
    7. Lecompte, Steven & Huisseune, Henk & van den Broek, Martijn & Vanslambrouck, Bruno & De Paepe, Michel, 2015. "Review of organic Rankine cycle (ORC) architectures for waste heat recovery," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 448-461.
    8. Mondejar, M.E. & Andreasen, J.G. & Pierobon, L. & Larsen, U. & Thern, M. & Haglind, F., 2018. "A review of the use of organic Rankine cycle power systems for maritime applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 126-151.
    9. Meroni, Andrea & Andreasen, Jesper Graa & Persico, Giacomo & Haglind, Fredrik, 2018. "Optimization of organic Rankine cycle power systems considering multistage axial turbine design," Applied Energy, Elsevier, vol. 209(C), pages 339-354.
    10. Karimi, Shahram & Mansouri, Sima, 2018. "A comparative profitability study of geothermal electricity production in developed and developing countries: Exergoeconomic analysis and optimization of different ORC configurations," Renewable Energy, Elsevier, vol. 115(C), pages 600-619.
    11. Le, Van Long & Kheiri, Abdelhamid & Feidt, Michel & Pelloux-Prayer, Sandrine, 2014. "Thermodynamic and economic optimizations of a waste heat to power plant driven by a subcritical ORC (Organic Rankine Cycle) using pure or zeotropic working fluid," Energy, Elsevier, vol. 78(C), pages 622-638.
    12. Martelli, Emanuele & Capra, Federico & Consonni, Stefano, 2015. "Numerical optimization of Combined Heat and Power Organic Rankine Cycles – Part A: Design optimization," Energy, Elsevier, vol. 90(P1), pages 310-328.
    13. Peris, Bernardo & Navarro-Esbrí, Joaquín & Mateu-Royo, Carlos & Mota-Babiloni, Adrián & Molés, Francisco & Gutiérrez-Trashorras, Antonio J. & Amat-Albuixech, Marta, 2020. "Thermo-economic optimization of small-scale Organic Rankine Cycle: A case study for low-grade industrial waste heat recovery," Energy, Elsevier, vol. 213(C).
    14. Amini, Ali & Mirkhani, Nima & Pakjesm Pourfard, Pedram & Ashjaee, Mehdi & Khodkar, Mohammad Amin, 2015. "Thermo-economic optimization of low-grade waste heat recovery in Yazd combined-cycle power plant (Iran) by a CO2 transcritical Rankine cycle," Energy, Elsevier, vol. 86(C), pages 74-84.
    15. Li, Chengyu & Wang, Huaixin, 2016. "Power cycles for waste heat recovery from medium to high temperature flue gas sources – from a view of thermodynamic optimization," Applied Energy, Elsevier, vol. 180(C), pages 707-721.
    16. Yang, Min-Hsiung & Yeh, Rong-Hua, 2016. "Economic performances optimization of an organic Rankine cycle system with lower global warming potential working fluids in geothermal application," Renewable Energy, Elsevier, vol. 85(C), pages 1201-1213.
    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. Yu, Haoshui & Eason, John & Biegler, Lorenz T. & Feng, Xiao, 2017. "Simultaneous heat integration and techno-economic optimization of Organic Rankine Cycle (ORC) for multiple waste heat stream recovery," Energy, Elsevier, vol. 119(C), pages 322-333.
    20. Pezzuolo, Alex & Benato, Alberto & Stoppato, Anna & Mirandola, Alberto, 2016. "The ORC-PD: A versatile tool for fluid selection and Organic Rankine Cycle unit design," Energy, Elsevier, vol. 102(C), pages 605-620.

    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:gam:jeners:v:13:y:2020:i:13:p:3388-:d:379145. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.