IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v133y2020ics1364032120303683.html
   My bibliography  Save this article

Hybrid modelling and digital twin development of a steam turbine control stage for online performance monitoring

Author

Listed:
  • Yu, Jianxi
  • Liu, Pei
  • Li, Zheng

Abstract

Increasingly tight integration of renewable power sources with thermal power sources leads to frequent operation at off-design modes of thermal power plants. It brings challenges including reduced efficiency, increased costs and safety issues in power plants. At a component level, load changes of thermal power plants are mainly carried out through actions of control stage systems of steam turbines. Accurate performance monitoring of control stage systems is key to enable faster and more flexible operation of thermal power plants thus provides opportunities to accommodate more renewable power with limited penalty to efficiency and safety. In this paper, a hybrid modelling method based on operation data and first-principle mechanism is proposed for performance monitoring of control stage systems. The hybrid modelling method features a) flow rate calculation of high-pressure control valves with limited measurement data, and b) flow and efficiency characteristics calculation over full working ranges of control stages. The proposed hybrid modelling method is validated via two case studies of a 330 MW subcritical steam turbine and a 1000 MW ultra-supercritical steam turbine, where digital twins of control stages are developed. Results show that average relative errors between simulated and measured values of exit pressure and exit temperature of control stages are within a range of one percent, providing great potential for plant-wide digital twin development and online performance monitoring.

Suggested Citation

  • Yu, Jianxi & Liu, Pei & Li, Zheng, 2020. "Hybrid modelling and digital twin development of a steam turbine control stage for online performance monitoring," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    • Handle: RePEc:eee:rensus:v:133:y:2020:i:c:s1364032120303683
    DOI: 10.1016/j.rser.2020.110077
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032120303683
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2020.110077?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. Cruz, Marco R.M. & Fitiwi, Desta Z. & Santos, Sérgio F. & Catalão, João P.S., 2018. "A comprehensive survey of flexibility options for supporting the low-carbon energy future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 338-353.
    2. Xue, Yuan & Ge, Zhihua & Yang, Lijun & Du, Xiaoze, 2019. "Peak shaving performance of coal-fired power generating unit integrated with multi-effect distillation seawater desalination," Applied Energy, Elsevier, vol. 250(C), pages 175-184.
    3. Alizadeh, M.I. & Parsa Moghaddam, M. & Amjady, N. & Siano, P. & Sheikh-El-Eslami, M.K., 2016. "Flexibility in future power systems with high renewable penetration: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1186-1193.
    4. Brunner, Christoph & Deac, Gerda & Braun, Sebastian & Zöphel, Christoph, 2020. "The future need for flexibility and the impact of fluctuating renewable power generation," Renewable Energy, Elsevier, vol. 149(C), pages 1314-1324.
    5. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
    6. Gu, Yujiong & Xu, Jing & Chen, Dongchao & Wang, Zhong & Li, Qianqian, 2016. "Overall review of peak shaving for coal-fired power units in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 723-731.
    7. Xu, Jian-qun & Ma, Lin & Sun, You-yuan & Cao, Zu-qing, 2014. "Research on characteristics of varying conditions for nozzle governing stage based on dimensional analysis," Energy, Elsevier, vol. 65(C), pages 590-595.
    8. Cai, Liu-xi & Wang, Shun-sen & Mao, Jing-ru & Di, Juan & Feng, Zhen-ping, 2015. "The influence of nozzle chamber structure and partial-arc admission on the erosion characteristics of solid particles in the control stage of a supercritical steam turbine," Energy, Elsevier, vol. 82(C), pages 341-352.
    9. Cao, Li-hua & Liu, Shuang & Li, Yan-chao & Si, He-yong, 2020. "Influence of valve governing mode on solid particle erosion and efficiency in governing stage of steam turbine," Energy, Elsevier, vol. 191(C).
    10. Łukowicz, Henryk & Rusin, Andrzej, 2018. "The impact of the control method of cyclic operation on the power unit efficiency and life," Energy, Elsevier, vol. 150(C), pages 565-574.
    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. Cui, Zhipeng & Xu, Jing & Liu, Wenhao & Zhao, Guanjia & Ma, Suxia, 2023. "Data-driven modeling-based digital twin of supercritical coal-fired boiler for metal temperature anomaly detection," Energy, Elsevier, vol. 278(PA).
    2. Rong Xie & Muyan Chen & Weihuang Liu & Hongfei Jian & Yanjun Shi, 2021. "Digital Twin Technologies for Turbomachinery in a Life Cycle Perspective: A Review," Sustainability, MDPI, vol. 13(5), pages 1-22, February.
    3. Mezzour Ghita & Benhadou Siham & Medromi Hicham & Mounaam Amine, 2022. "HT-TPP: A Hybrid Twin Architecture for Thermal Power Plant Collaborative Condition Monitoring," Energies, MDPI, vol. 15(15), pages 1-38, July.
    4. Yu, Wei & Patros, Panos & Young, Brent & Klinac, Elsa & Walmsley, Timothy Gordon, 2022. "Energy digital twin technology for industrial energy management: Classification, challenges and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    5. Naseri, F. & Gil, S. & Barbu, C. & Cetkin, E. & Yarimca, G. & Jensen, A.C. & Larsen, P.G. & Gomes, C., 2023. "Digital twin of electric vehicle battery systems: Comprehensive review of the use cases, requirements, and platforms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    6. Lei Zhang & Zongliang Qiao & Bingsen Hei & Youfei Tang & Shasha Liu, 2022. "Optimization of Steam Distribution Mode for Turbine Units Based on Governing Valve Characteristic Modeling," Energies, MDPI, vol. 15(23), pages 1-15, December.
    7. Chen, Zhen & Zhou, Di & Zio, Enrico & Xia, Tangbin & Pan, Ershun, 2023. "Adaptive transfer learning for multimode process monitoring and unsupervised anomaly detection in steam turbines," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    8. Zhao, Guanjia & Cui, Zhipeng & Xu, Jing & Liu, Wenhao & Ma, Suxia, 2022. "Hybrid modeling-based digital twin for performance optimization with flexible operation in the direct air-cooling power unit," Energy, Elsevier, vol. 254(PC).

    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. Maitanova, Nailya & Schlüters, Sunke & Hanke, Benedikt & von Maydell, Karsten, 2024. "An analytical method for quantifying the flexibility potential of decentralised energy systems," Applied Energy, Elsevier, vol. 364(C).
    2. Rinaldi, Arthur & Yilmaz, Selin & Patel, Martin K. & Parra, David, 2022. "What adds more flexibility? An energy system analysis of storage, demand-side response, heating electrification, and distribution reinforcement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    3. Koltsaklis, Nikolaos E. & Knápek, Jaroslav, 2023. "Assessing flexibility options in electricity market clearing," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    4. Takeshita, Takuma & Aki, Hirohisa & Kawajiri, Kotaro & Ishida, Masayoshi, 2021. "Assessment of utilization of combined heat and power systems to provide grid flexibility alongside variable renewable energy systems," Energy, Elsevier, vol. 214(C).
    5. Matthew Gough & Sérgio F. Santos & Mohammed Javadi & Rui Castro & João P. S. Catalão, 2020. "Prosumer Flexibility: A Comprehensive State-of-the-Art Review and Scientometric Analysis," Energies, MDPI, vol. 13(11), pages 1-32, May.
    6. Dagoumas, Athanasios S. & Koltsaklis, Nikolaos E., 2019. "Review of models for integrating renewable energy in the generation expansion planning," Applied Energy, Elsevier, vol. 242(C), pages 1573-1587.
    7. Bellocchi, Sara & Manno, Michele & Noussan, Michel & Prina, Matteo Giacomo & Vellini, Michela, 2020. "Electrification of transport and residential heating sectors in support of renewable penetration: Scenarios for the Italian energy system," Energy, Elsevier, vol. 196(C).
    8. Mauro Lafratta & Matthew Leach & Rex B. Thorpe & Mark Willcocks & Eve Germain & Sabeha K. Ouki & Achame Shana & Jacquetta Lee, 2021. "Economic and Carbon Costs of Electricity Balancing Services: The Need for Secure Flexible Low-Carbon Generation," Energies, MDPI, vol. 14(16), pages 1-21, August.
    9. Lechl, Michael & Fürmann, Tim & de Meer, Hermann & Weidlich, Anke, 2023. "A review of models for energy system flexibility requirements and potentials using the new FLEXBLOX taxonomy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    10. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S. & Panapakidis, Ioannis P., 2017. "Impact of the penetration of renewables on flexibility needs," Energy Policy, Elsevier, vol. 109(C), pages 360-369.
    11. Bolwig, Simon & Bazbauers, Gatis & Klitkou, Antje & Lund, Peter D. & Blumberga, Andra & Gravelsins, Armands & Blumberga, Dagnija, 2019. "Review of modelling energy transitions pathways with application to energy system flexibility," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 440-452.
    12. Arabzadeh, Vahid & Miettinen, Panu & Kotilainen, Titta & Herranen, Pasi & Karakoc, Alp & Kummu, Matti & Rautkari, Lauri, 2023. "Urban vertical farming with a large wind power share and optimised electricity costs," Applied Energy, Elsevier, vol. 331(C).
    13. Schipfer, F. & Mäki, E. & Schmieder, U. & Lange, N. & Schildhauer, T. & Hennig, C. & Thrän, D., 2022. "Status of and expectations for flexible bioenergy to support resource efficiency and to accelerate the energy transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    14. Sasaki, Kento & Aki, Hirohisa & Ikegami, Takashi, 2022. "Application of model predictive control to grid flexibility provision by distributed energy resources in residential dwellings under uncertainty," Energy, Elsevier, vol. 239(PB).
    15. Chen, Siyuan & Liu, Pei & Li, Zheng, 2020. "Low carbon transition pathway of power sector with high penetration of renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    16. Wang, Jiangjiang & Liu, Yi & Ren, Fukang & Lu, Shuaikang, 2020. "Multi-objective optimization and selection of hybrid combined cooling, heating and power systems considering operational flexibility," Energy, Elsevier, vol. 197(C).
    17. Derakhtenjani, Ali Saberi & Athienitis, Andreas K., 2021. "A frequency domain transfer function methodology for thermal characterization and design for energy flexibility of zones with radiant systems," Renewable Energy, Elsevier, vol. 163(C), pages 1033-1045.
    18. Panos, Evangelos & Kober, Tom & Wokaun, Alexander, 2019. "Long term evaluation of electric storage technologies vs alternative flexibility options for the Swiss energy system," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    19. Abdilahi, Abdirahman M. & Mustafa, Mohd Wazir & Abujarad, Saleh Y. & Mustapha, Mamunu, 2018. "Harnessing flexibility potential of flexible carbon capture power plants for future low carbon power systems: Review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 3101-3110.
    20. Antonelli, Marco & Desideri, Umberto & Franco, Alessandro, 2018. "Effects of large scale penetration of renewables: The Italian case in the years 2008–2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 3090-3100.

    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:rensus:v:133:y:2020:i:c:s1364032120303683. 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.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.