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Techno-economic optimization of ORC system structure, size and working fluid within biomass-fired municipal cogeneration plant retrofitting project

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  • Świerzewski, Mateusz
  • Kalina, Jacek
  • Musiał, Arkadiusz

Abstract

This paper continues discussion on financial viability and design optimisation of biomass-fired Organic Rankine Cycle (ORC) Combined Heat and Power (CHP) systems. It examines influence of such decision variables as ORC system rated electric power output, architecture and working fluid. The considered ORC system structures are simple, regenerative and regenerative cycle with split heat exchanger. Eight working fluids are considered, namely: MM, MDM, MD2M, D4, D5, toluene, ethylbenzene, and cyclohexane. The system was modelled and simulated using Ebsilon® Professional software. Sample project is assessed in terms of power generation efficiency, Primary Energy Savings (PES), and financial indicators, such as Net Present Value (NPV) and Internal Rate of Return (IRR). Results revealed considerable differences in optimal power output. The optimal value of the ORC generator power output in terms of NPV is within the range from 1000 to 2600 kW depending on the system configuration and the working fluid. In terms of IRR the optimal rated power is between 750 and 1400 kW. The highest values of nominal rated power output have been obtained for ethylbenzene. What is more, the economic indicators get higher values for hydrocarbons than for silicone oils, which are nowadays widely used in biomass fired ORC systems.

Suggested Citation

  • Świerzewski, Mateusz & Kalina, Jacek & Musiał, Arkadiusz, 2021. "Techno-economic optimization of ORC system structure, size and working fluid within biomass-fired municipal cogeneration plant retrofitting project," Renewable Energy, Elsevier, vol. 180(C), pages 281-296.
    • Handle: RePEc:eee:renene:v:180:y:2021:i:c:p:281-296
    DOI: 10.1016/j.renene.2021.08.068
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    References listed on IDEAS

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    1. 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.
    2. Maraver, Daniel & Royo, Javier & Lemort, Vincent & Quoilin, Sylvain, 2014. "Systematic optimization of subcritical and transcritical organic Rankine cycles (ORCs) constrained by technical parameters in multiple applications," Applied Energy, Elsevier, vol. 117(C), pages 11-29.
    3. Kalina, Jacek & Świerzewski, Mateusz, 2019. "Identification of ORC unit operation in biomass-fired cogeneration system," Renewable Energy, Elsevier, vol. 142(C), pages 400-414.
    4. Chatzopoulou, Maria Anna & Lecompte, Steven & Paepe, Michel De & Markides, Christos N., 2019. "Off-design optimisation of organic Rankine cycle (ORC) engines with different heat exchangers and volumetric expanders in waste heat recovery applications," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    5. Costante M. Invernizzi & Abubakr Ayub & Gioele Di Marcoberardino & Paolo Iora, 2019. "Pure and Hydrocarbon Binary Mixtures as Possible Alternatives Working Fluids to the Usual Organic Rankine Cycles Biomass Conversion Systems," Energies, MDPI, vol. 12(21), pages 1-17, October.
    6. Świerzewski, Mateusz & Kalina, Jacek, 2020. "Optimisation of biomass-fired cogeneration plants using ORC technology," Renewable Energy, Elsevier, vol. 159(C), pages 195-214.
    7. Witanowski, Ł. & Klonowicz, P. & Lampart, P. & Suchocki, T. & Jędrzejewski, Ł. & Zaniewski, D. & Klimaszewski, P., 2020. "Optimization of an axial turbine for a small scale ORC waste heat recovery system," Energy, Elsevier, vol. 205(C).
    8. Mascuch, Jakub & Novotny, Vaclav & Spale, Jan & Vodicka, Vaclav & Zeleny, Zbynek, 2021. "Experience from set-up and pilot operation of an in-house developed biomass-fired ORC microcogeneration unit," Renewable Energy, Elsevier, vol. 165(P1), pages 251-260.
    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. International Finance Corporation, 2017. "Converting Biomass to Energy," World Bank Publications - Reports 28305, The World Bank Group.
    11. Tańczuk, Mariusz & Ulbrich, Roman, 2013. "Implementation of a biomass-fired co-generation plant supplied with an ORC (Organic Rankine Cycle) as a heat source for small scale heat distribution system – A comparative analysis under Polish and G," Energy, Elsevier, vol. 62(C), pages 132-141.
    12. Capra, Federico & Martelli, Emanuele, 2015. "Numerical optimization of combined heat and power Organic Rankine Cycles – Part B: Simultaneous design & part-load optimization," Energy, Elsevier, vol. 90(P1), pages 329-343.
    13. Uris, María & Linares, José Ignacio & Arenas, Eva, 2015. "Size optimization of a biomass-fired cogeneration plant CHP/CCHP (Combined heat and power/Combined heat, cooling and power) based on Organic Rankine Cycle for a district network in Spain," Energy, Elsevier, vol. 88(C), pages 935-945.
    14. 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.
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    6. Zhang, Fei-yang & Feng, Yong-qiang & He, Zhi-xia & Xu, Jing-wei & Zhang, Qiang & Xu, Kang-jing, 2022. "Thermo-economic optimization of biomass-fired organic Rankine cycles combined heat and power system coupled CO2 capture with a rated power of 30 kW," Energy, Elsevier, vol. 254(PC).

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