IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v192y2020ics0360544219323795.html
   My bibliography  Save this article

Modeling condensate throttling to improve the load change performance of cogeneration units

Author

Listed:
  • Han, Zhonghe
  • Xiang, Peng

Abstract

The operational flexibility of coal-fired units plays an important role in the stable and safe operation of power grid under fluctuant renewable power resources. As they represent a large proportion of coal-fired units, cogeneration units need to be studied to improve the load change performance. The purpose of this study is to activate the energy storage of regenerative system by condensate throttling, which can improve the load change performance of cogeneration units. The static and dynamic models of condensate throttling were established through a mechanism analysis. And a 350 MW cogeneration unit was chosen as a case study to simulate the dynamic model under 10 operating conditions with different condensate throttled flowrates. The results reveal that the load change performance of condensate throttling is more improved when the output power is higher, the increased condensate throttled flowrate can further improve the load change performance. Moreover, the increased operational flexibility can be obtained when cogeneration units working under the sliding pressure operating condition. Finally, the maximum duration and the 1-min output power increment are also evaluated. The maximum duration is mainly influenced by the condensate throttled flowrate. And the maximum 1-min output power increment is between 4.972 MW and 22.999 MW.

Suggested Citation

  • Han, Zhonghe & Xiang, Peng, 2020. "Modeling condensate throttling to improve the load change performance of cogeneration units," Energy, Elsevier, vol. 192(C).
  • Handle: RePEc:eee:energy:v:192:y:2020:i:c:s0360544219323795
    DOI: 10.1016/j.energy.2019.116684
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544219323795
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2019.116684?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. Zhao, Yongliang & Wang, Chaoyang & Liu, Ming & Chong, Daotong & Yan, Junjie, 2018. "Improving operational flexibility by regulating extraction steam of high-pressure heaters on a 660 MW supercritical coal-fired power plant: A dynamic simulation," Applied Energy, Elsevier, vol. 212(C), pages 1295-1309.
    2. Leśko, Michał & Bujalski, Wojciech & Futyma, Kamil, 2018. "Operational optimization in district heating systems with the use of thermal energy storage," Energy, Elsevier, vol. 165(PA), pages 902-915.
    3. 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.
    4. Garbrecht, Oliver & Bieber, Malte & Kneer, Reinhold, 2017. "Increasing fossil power plant flexibility by integrating molten-salt thermal storage," Energy, Elsevier, vol. 118(C), pages 876-883.
    5. Uddin, Moslem & Romlie, Mohd Fakhizan & Abdullah, Mohd Faris & Abd Halim, Syahirah & Abu Bakar, Ab Halim & Chia Kwang, Tan, 2018. "A review on peak load shaving strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3323-3332.
    6. Sahu, Bikash Kumar, 2018. "Wind energy developments and policies in China: A short review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1393-1405.
    7. Zhao, Yongliang & Liu, Ming & Wang, Chaoyang & Li, Xin & Chong, Daotong & Yan, Junjie, 2018. "Increasing operational flexibility of supercritical coal-fired power plants by regulating thermal system configuration during transient processes," Applied Energy, Elsevier, vol. 228(C), pages 2375-2386.
    8. Wang, Wei & Zeng, Deliang & Liu, Jizhen & Niu, Yuguang & Cui, Can, 2014. "Feasibility analysis of changing turbine load in power plants using continuous condenser pressure adjustment," Energy, Elsevier, vol. 64(C), pages 533-540.
    9. Wang, Wei & Liu, Jizhen & Zeng, Deliang & Niu, Yuguang & Cui, Can, 2015. "An improved coordinated control strategy for boiler-turbine units supplemented by cold source flow adjustment," Energy, Elsevier, vol. 88(C), pages 927-934.
    10. Dreidy, Mohammad & Mokhlis, H. & Mekhilef, Saad, 2017. "Inertia response and frequency control techniques for renewable energy sources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 144-155.
    11. Long, Dongteng & Wang, Wei & Yao, Chu & Liu, Jizhen, 2017. "An experiment-based model of condensate throttling and its utilization in load control of 1000 MW power units," Energy, Elsevier, vol. 133(C), pages 941-954.
    12. Han, Xu & Zeng, Wei & Han, Zhonghe, 2019. "Investigation of the comprehensive performance of turbine stator cascades with heating endwall fences," Energy, Elsevier, vol. 174(C), pages 1188-1199.
    13. Ding, Yi & Shao, Changzheng & Yan, Jinyue & Song, Yonghua & Zhang, Chi & Guo, Chuangxin, 2018. "Economical flexibility options for integrating fluctuating wind energy in power systems: The case of China," Applied Energy, Elsevier, vol. 228(C), pages 426-436.
    14. Yang, Tingting & Wang, Wei & Zeng, Deliang & Liu, Jizhen & Cui, Can, 2017. "Closed-loop optimization control on fan speed of air-cooled steam condenser units for energy saving and rapid load regulation," Energy, Elsevier, vol. 135(C), pages 394-404.
    15. Liu, Ji-Zhen & Yan, Shu & Zeng, De-Liang & Hu, Yong & Lv, You, 2015. "A dynamic model used for controller design of a coal fired once-through boiler-turbine unit," Energy, Elsevier, vol. 93(P2), pages 2069-2078.
    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. Hou, Guolian & Huang, Ting & Huang, Congzhi, 2023. "Flexibility improvement of 1000 MW ultra-supercritical unit under full operating conditions by error-based ADRC and fast pigeon-inspired optimizer," Energy, Elsevier, vol. 270(C).
    2. Zhang, Kezhen & Zhao, Yongliang & Liu, Ming & Gao, Lin & Fu, Yue & Yan, Junjie, 2021. "Flexibility enhancement versus thermal efficiency of coal-fired power units during the condensate throttling processes," Energy, Elsevier, vol. 218(C).
    3. Wang, Di & Liu, Deying & Wang, Chaonan & Zhou, Yunlong & Li, Xiaoli & Yang, Mei, 2022. "Flexibility improvement method of coal-fired thermal power plant based on the multi-scale utilization of steam turbine energy storage," Energy, Elsevier, vol. 239(PD).
    4. Wang, Congyu & Song, Jiwei, 2023. "Performance assessment of the novel coal-fired combined heat and power plant integrating with flexibility renovations," Energy, Elsevier, vol. 263(PC).
    5. Cao, Lihua & Li, Xiaoli & Wang, Di, 2022. "A thermodynamic system of coal-fired power unit coupled S–CO2 energy-storage cycle," Energy, Elsevier, vol. 259(C).

    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. Zhang, Kezhen & Zhao, Yongliang & Liu, Ming & Gao, Lin & Fu, Yue & Yan, Junjie, 2021. "Flexibility enhancement versus thermal efficiency of coal-fired power units during the condensate throttling processes," Energy, Elsevier, vol. 218(C).
    2. Zhao, Yongliang & Liu, Ming & Wang, Chaoyang & Wang, Zhu & Chong, Daotong & Yan, Junjie, 2019. "Exergy analysis of the regulating measures of operational flexibility in supercritical coal-fired power plants during transient processes," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    3. Stevanovic, Vladimir D. & Ilic, Milica & Djurovic, Zeljko & Wala, Tadeusz & Muszynski, Slawomir & Gajic, Ivan, 2018. "Primary control reserve of electric power by feedwater flow rate change through an additional economizer – A case study of the thermal power plant “Nikola Tesla B”," Energy, Elsevier, vol. 147(C), pages 782-798.
    4. Zhao, Yongliang & Liu, Ming & Wang, Chaoyang & Li, Xin & Chong, Daotong & Yan, Junjie, 2018. "Increasing operational flexibility of supercritical coal-fired power plants by regulating thermal system configuration during transient processes," Applied Energy, Elsevier, vol. 228(C), pages 2375-2386.
    5. Zhao, Yongliang & Song, Jian & Liu, Ming & Zhao, Yao & Olympios, Andreas V. & Sapin, Paul & Yan, Junjie & Markides, Christos N., 2022. "Thermo-economic assessments of pumped-thermal electricity storage systems employing sensible heat storage materials," Renewable Energy, Elsevier, vol. 186(C), pages 431-456.
    6. Wei Wang & Yang Sun & Sitong Jing & Wenguang Zhang & Can Cui, 2018. "Improved Boiler-Turbine Coordinated Control of CHP Units with Heat Accumulators by Introducing Heat Source Regulation," Energies, MDPI, vol. 11(10), pages 1-15, October.
    7. Yan, Hui & Liu, Ming & Wang, Zhu & Zhang, Kezhen & Chong, Daotong & Yan, Junjie, 2023. "Flexibility enhancement of solar-aided coal-fired power plant under different direct normal irradiance conditions," Energy, Elsevier, vol. 262(PA).
    8. Wu, Zhenlong & Li, Donghai & Xue, Yali & Chen, YangQuan, 2019. "Gain scheduling design based on active disturbance rejection control for thermal power plant under full operating conditions," Energy, Elsevier, vol. 185(C), pages 744-762.
    9. Wang, Wei & Jing, Sitong & Sun, Yang & Liu, Jizhen & Niu, Yuguang & Zeng, Deliang & Cui, Can, 2019. "Combined heat and power control considering thermal inertia of district heating network for flexible electric power regulation," Energy, Elsevier, vol. 169(C), pages 988-999.
    10. Ioannis Avagianos & Dimitrios Rakopoulos & Sotirios Karellas & Emmanouil Kakaras, 2020. "Review of Process Modeling of Solid-Fuel Thermal Power Plants for Flexible and Off-Design Operation," Energies, MDPI, vol. 13(24), pages 1-41, December.
    11. Wang, Di & Liu, Deying & Wang, Chaonan & Zhou, Yunlong & Li, Xiaoli & Yang, Mei, 2022. "Flexibility improvement method of coal-fired thermal power plant based on the multi-scale utilization of steam turbine energy storage," Energy, Elsevier, vol. 239(PD).
    12. Wang, Zhu & Liu, Ming & Yan, Hui & Yan, Junjie, 2022. "Optimization on coordinate control strategy assisted by high-pressure extraction steam throttling to achieve flexible and efficient operation of thermal power plants," Energy, Elsevier, vol. 244(PA).
    13. Liu, Ming & Ma, Guofeng & Wang, Shan & Wang, Yu & Yan, Junjie, 2021. "Thermo-economic comparison of heat–power decoupling technologies for combined heat and power plants when participating in a power-balancing service in an energy hub," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    14. Leinauer, Christina & Schott, Paul & Fridgen, Gilbert & Keller, Robert & Ollig, Philipp & Weibelzahl, Martin, 2022. "Obstacles to demand response: Why industrial companies do not adapt their power consumption to volatile power generation," Energy Policy, Elsevier, vol. 165(C).
    15. Liu, Kairui & Wang, Chao & Wang, Limin & Liu, Bin & Ye, Maojing & Guo, Yalong & Che, Defu, 2023. "Dynamic performance analysis and control strategy optimization for supercritical coal-fired boiler: A dynamic simulation," Energy, Elsevier, vol. 282(C).
    16. Yin, Linfei & Xie, Jiaxing, 2022. "Multi-feature-scale fusion temporal convolution networks for metal temperature forecasting of ultra-supercritical coal-fired power plant reheater tubes," Energy, Elsevier, vol. 238(PA).
    17. Zhao, Haitao & Jiang, Peng & Chen, Zhe & Ezeh, Collins I. & Hong, Yuanda & Guo, Yishan & Zheng, Chenghang & Džapo, Hrvoje & Gao, Xiang & Wu, Tao, 2019. "Improvement of fuel sources and energy products flexibility in coal power plants via energy-cyber-physical-systems approach," Applied Energy, Elsevier, vol. 254(C).
    18. Brändle, Gregor & Schönfisch, Max & Schulte, Simon, 2020. "Estimating Long-Term Global Supply Costs for Low-Carbon Hydrogen," EWI Working Papers 2020-4, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI), revised 10 Aug 2021.
    19. Mohammad Qasem & Omar Mohamed & Wejdan Abu Elhaija, 2022. "Parameter Identification and Sliding Pressure Control of a Supercritical Power Plant Using Whale Optimizer," Sustainability, MDPI, vol. 14(13), pages 1-25, June.
    20. Wang, Di & Zhou, Yunlong & Li, Xiaoli, 2018. "A dynamic model used for controller design for fast cut back of coal-fired boiler-turbine plant," Energy, Elsevier, vol. 144(C), pages 526-534.

    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:energy:v:192:y:2020:i:c:s0360544219323795. 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/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.