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Identification of ORC unit operation in biomass-fired cogeneration system

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  • Kalina, Jacek
  • Świerzewski, Mateusz

Abstract

This paper presents an analysis of operational parameters of the commercial Organic Rankine Cycle (ORC) cogeneration unit integrated with biomass-fired boiler and municipal heating network. The analysis is based on field measurements in real operational conditions using standard industrial sensors installed within the system. Regression based mathematical modelling have been applied to develop robust predictive models of the ORC system for its diagnostics and production planning. Historical data collected within the Supervisory Control and Data Acquisition System of the plant have been used to establish correlations between key thermodynamic parameters. Results reveal off-design performance characteristics of the ORC unit and its individual components such as turbine, evaporator and condenser. There are also demonstrated results of application of the model for technical condition and performance monitoring, which can support decisions on maintenance activities.

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  • Kalina, Jacek & Świerzewski, Mateusz, 2019. "Identification of ORC unit operation in biomass-fired cogeneration system," Renewable Energy, Elsevier, vol. 142(C), pages 400-414.
    • Handle: RePEc:eee:renene:v:142:y:2019:i:c:p:400-414
    DOI: 10.1016/j.renene.2019.04.080
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    3. Wang, Mingtao & Zhang, Juan & Liu, Qiyi & Tan, Luzhi, 2020. "Effects of critical temperature, critical pressure and dryness of working fluids on the performance of the transcritical organic rankine cycle," Energy, Elsevier, vol. 202(C).
    4. 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.
    5. Yan, Linbo & Wang, Ziqi & Cao, Yang & He, Boshu, 2020. "Comparative evaluation of two biomass direct-fired power plants with carbon capture and sequestration," Renewable Energy, Elsevier, vol. 147(P1), pages 1188-1198.
    6. Özahi, Emrah & Tozlu, Alperen, 2020. "Optimization of an adapted Kalina cycle to an actual municipal solid waste power plant by using NSGA-II method," Renewable Energy, Elsevier, vol. 149(C), pages 1146-1156.
    7. Braimakis, Konstantinos & Magiri-Skouloudi, Despina & Grimekis, Dimitrios & Karellas, Sotirios, 2020. "Εnergy-exergy analysis of ultra-supercritical biomass-fuelled steam power plants for industrial CHP, district heating and cooling," Renewable Energy, Elsevier, vol. 154(C), pages 252-269.
    8. Miao, Zheng & Wang, Zhanbo & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír & Xu, Jinliang, 2023. "Development of selection criteria of zeotropic mixtures as working fluids for the trans-critical organic Rankine cycle," Energy, Elsevier, vol. 278(PA).
    9. Świerzewski, Mateusz & Kalina, Jacek, 2020. "Optimisation of biomass-fired cogeneration plants using ORC technology," Renewable Energy, Elsevier, vol. 159(C), pages 195-214.
    10. 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.

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