IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v189y2017icp654-666.html
   My bibliography  Save this article

A dynamic mathematical model of an ultra-supercritical coal fired once-through boiler-turbine unit

Author

Listed:
  • Fan, He
  • Zhang, Yu-fei
  • Su, Zhi-gang
  • Wang, Ben

Abstract

It is challenging and interesting to establish a precise dynamic model of an OTB (once-through boiler) power plant unit in order to meet large scale load demands from the power grid. This study proposes to establish such a dynamic mathematical model of an ultra-supercritical OTB unit under dry operating conditions. More precisely, the dynamic model structure was derived from mass and energy conservation laws as well as thermodynamic principles under some reasonable simplifications and assumptions. Then an IGA (immune genetic algorithm) was improved to identify the parameters, combined with running data. After this, to further enhance model performance, the dynamic mathematical model was extended to be the one with different sets of parameters and functions under different monotonous load ranges. Additionally, open- and closed-loop experiments were conducted in order to further validate the developed model. The experimental results show that the model outputs can approach the actual running data over a wide operating range with appropriate accuracy. More importantly, the dynamic model captures the essential dynamic characteristics of the unit. Therefore, the model can be feasible and applicable for simulation analysis and testing control algorithms.

Suggested Citation

  • Fan, He & Zhang, Yu-fei & Su, Zhi-gang & Wang, Ben, 2017. "A dynamic mathematical model of an ultra-supercritical coal fired once-through boiler-turbine unit," Applied Energy, Elsevier, vol. 189(C), pages 654-666.
    • Handle: RePEc:eee:appene:v:189:y:2017:i:c:p:654-666
    DOI: 10.1016/j.apenergy.2016.11.074
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261916317056
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2016.11.074?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. He, Yongxiu & Xu, Yang & Pang, Yuexia & Tian, Huiying & Wu, Rui, 2016. "A regulatory policy to promote renewable energy consumption in China: Review and future evolutionary path," Renewable Energy, Elsevier, vol. 89(C), pages 695-705.
    2. Rostek, Kornel & Morytko, Łukasz & Jankowska, Anna, 2015. "Early detection and prediction of leaks in fluidized-bed boilers using artificial neural networks," Energy, Elsevier, vol. 89(C), pages 914-923.
    3. Loeffler, Dan & Anderson, Nathaniel, 2014. "Emissions tradeoffs associated with cofiring forest biomass with coal: A case study in Colorado, USA," Applied Energy, Elsevier, vol. 113(C), pages 67-77.
    4. Liu, Guangkui & Li, Zhengqi & Chen, Zhichao & Zhu, Xingying & Zhu, Qunyi, 2012. "Effect of the anthracite ratio of blended coals on the combustion and NOx emission characteristics of a retrofitted down-fired 660-MWe utility boiler," Applied Energy, Elsevier, vol. 95(C), pages 196-201.
    5. Tică, Adrian & Guéguen, Hervé & Dumur, Didier & Faille, Damien & Davelaar, Frans, 2012. "Design of a combined cycle power plant model for optimization," Applied Energy, Elsevier, vol. 98(C), pages 256-265.
    6. Si, Junping & Liu, Xiaowei & Xu, Minghou & Sheng, Lei & Zhou, Zijian & Wang, Chao & Zhang, Yang & Seo, Yong-Chil, 2014. "Effect of kaolin additive on PM2.5 reduction during pulverized coal combustion: Importance of sodium and its occurrence in coal," Applied Energy, Elsevier, vol. 114(C), pages 434-444.
    7. Afram, Abdul & Janabi-Sharifi, Farrokh, 2015. "Gray-box modeling and validation of residential HVAC system for control system design," Applied Energy, Elsevier, vol. 137(C), pages 134-150.
    8. Zhao, Zhen-Yu & Chen, Yu-Long & Chang, Rui-Dong, 2016. "How to stimulate renewable energy power generation effectively? – China's incentive approaches and lessons," Renewable Energy, Elsevier, vol. 92(C), pages 147-156.
    9. 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.
    10. Díaz-Ramírez, Maryori & Sebastián, Fernando & Royo, Javier & Rezeau, Adeline, 2014. "Influencing factors on NOX emission level during grate conversion of three pelletized energy crops," Applied Energy, Elsevier, vol. 115(C), pages 360-373.
    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. Hongxia Zhu & Gang Zhao & Li Sun & Kwang Y. Lee, 2019. "Nonlinear Predictive Control for a Boiler–Turbine Unit Based on a Local Model Network and Immune Genetic Algorithm," Sustainability, MDPI, vol. 11(18), pages 1-25, September.
    2. Zhenhao Tang & Xiaoyan Wu & Shengxian Cao, 2019. "Adaptive Nonlinear Model Predictive Control of the Combustion Efficiency under the NOx Emissions and Load Constraints," Energies, MDPI, vol. 12(9), pages 1-16, May.
    3. Huang, Congzhi & Sheng, Xinxin, 2020. "Data-driven model identification of boiler-turbine coupled process in 1000 MW ultra-supercritical unit by improved bird swarm algorithm," Energy, Elsevier, vol. 205(C).
    4. Zhu, Hengyi & Tan, Peng & He, Ziqian & Zhang, Cheng & Fang, Qingyan & Chen, Gang, 2022. "Nonlinear model predictive control of USC boiler-turbine power units in flexible operations via input convex neural network," Energy, Elsevier, vol. 255(C).
    5. Hao Zhang & Xiangjie Liu & Xiaobing Kong & Kwang Y. Lee, 2019. "Stacked Auto-Encoder Modeling of an Ultra-Supercritical Boiler-Turbine System," Energies, MDPI, vol. 12(21), pages 1-14, October.
    6. Wang, Yanhong & Cao, Lihua & Hu, Pengfei & Li, Bo & Li, Yong, 2019. "Model establishment and performance evaluation of a modified regenerative system for a 660 MW supercritical unit running at the IPT-setting mode," Energy, Elsevier, vol. 179(C), pages 890-915.
    7. 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).
    8. 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.
    9. Wang, Chaoyang & Qiao, Yongqiang & Liu, Ming & Zhao, Yongliang & Yan, Junjie, 2020. "Enhancing peak shaving capability by optimizing reheat-steam temperature control of a double-reheat boiler," Applied Energy, Elsevier, vol. 260(C).
    10. Jiakui Shi & Shuangshuang Fan & Jiajia Li & Jiangnan Cheng & Jie Wan & Peng E, 2023. "An Optimization Method of Steam Turbine Load Resilient Adjustment by Characterizing Dynamic Changes in Superheated Steam Energy," Energies, MDPI, vol. 16(8), pages 1-15, April.
    11. Zhou, Hong & Chen, Cheng & Lai, Jingang & Lu, Xiaoqing & Deng, Qijun & Gao, Xingran & Lei, Zhongcheng, 2018. "Affine nonlinear control for an ultra-supercritical coal fired once-through boiler-turbine unit," Energy, Elsevier, vol. 153(C), pages 638-649.
    12. Dong, Zhe & Pan, Yifei, 2018. "A lumped-parameter dynamical model of a nuclear heating reactor cogeneration plant," Energy, Elsevier, vol. 145(C), pages 638-656.
    13. Al-Momani, Ahmad & Mohamed, Omar & Abu Elhaija, Wejdan, 2022. "Multiple processes modeling and identification for a cleaner supercritical power plant via Grey Wolf Optimizer," Energy, Elsevier, vol. 252(C).
    14. Omar Mohamed & Ashraf Khalil & Jihong Wang, 2020. "Modeling and Control of Supercritical and Ultra-Supercritical Power Plants: A Review," Energies, MDPI, vol. 13(11), pages 1-23, June.
    15. Dong, Zhe & Pan, Yifei & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2018. "Dynamical modeling and simulation of the six-modular high temperature gas-cooled reactor plant HTR-PM600," Energy, Elsevier, vol. 155(C), pages 971-991.
    16. Zhang, Hongfu & Gao, Mingming & Fan, Haohao & Zhang, Kaiping & Zhang, Jiahui, 2022. "A dynamic model for supercritical once-through circulating fluidized bed boiler-turbine units," Energy, Elsevier, vol. 241(C).
    17. Wang, Zhu & Liu, Ming & Zhao, Yongliang & Wang, Chaoyang & Chong, Daotong & Yan, Junjie, 2020. "Flexibility and efficiency enhancement for double-reheat coal-fired power plants by control optimization considering boiler heat storage," Energy, Elsevier, vol. 201(C).
    18. Chen Yang & Tao Zhang & Zonglong Zhang & Li Sun, 2022. "MLD–MPC for Ultra-Supercritical Circulating Fluidized Bed Boiler Unit Using Subspace Identification," Energies, MDPI, vol. 15(15), pages 1-26, July.
    19. Wang, Di & Zhou, Yu & Si, Long & Sun, Lingfang & Zhou, Yunlong, 2024. "Performance study of 660 MW coal-fired power plant coupled transcritical carbon dioxide energy storage cycle: Sensitivity and dynamic characteristic analysis," Energy, Elsevier, vol. 293(C).
    20. Hübel, Moritz & Meinke, Sebastian & Andrén, Marcus T. & Wedding, Christoffer & Nocke, Jürgen & Gierow, Conrad & Hassel, Egon & Funkquist, Jonas, 2017. "Modelling and simulation of a coal-fired power plant for start-up optimisation," Applied Energy, Elsevier, vol. 208(C), pages 319-331.
    21. 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.
    22. Huang, Congzhi & Li, Zhuoyong, 2023. "Data-driven modeling of ultra-supercritical unit coordinated control system by improved transformer network," Energy, Elsevier, vol. 266(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. Dai, C. & Cai, X.H. & Cai, Y.P. & Huang, G.H., 2014. "A simulation-based fuzzy possibilistic programming model for coal blending management with consideration of human health risk under uncertainty," Applied Energy, Elsevier, vol. 133(C), pages 1-13.
    2. Liu, Yingzu & He, Yong & Wang, Zhihua & Xia, Jun & Wan, Kaidi & Whiddon, Ronald & Cen, Kefa, 2018. "Characteristics of alkali species release from a burning coal/biomass blend," Applied Energy, Elsevier, vol. 215(C), pages 523-531.
    3. Hao Zhang & Xiangjie Liu & Xiaobing Kong & Kwang Y. Lee, 2019. "Stacked Auto-Encoder Modeling of an Ultra-Supercritical Boiler-Turbine System," Energies, MDPI, vol. 12(21), pages 1-14, October.
    4. 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).
    5. Wanhe Hu & Jingxin Wang & Jianli Hu & Jamie Schuler & Shawn Grushecky & Changle Jiang & William Smith & Nan Nan & Edward M. Sabolsky, 2024. "Combustion Behaviors, Kinetics, and Thermodynamics of Naturally Decomposed and Torrefied Northern Red Oak ( Quercus rubra ) Forest Logging Residue," Energies, MDPI, vol. 17(7), pages 1-17, March.
    6. Jiansheng You & Guohan Ding & Liyuan Zhang, 2022. "Heterogeneous Dynamic Correlation Research among Industrial Structure Distortion, Two-Way FDI and Carbon Emission Intensity in China," Sustainability, MDPI, vol. 14(15), pages 1-23, July.
    7. Lork, Clement & Li, Wen-Tai & Qin, Yan & Zhou, Yuren & Yuen, Chau & Tushar, Wayes & Saha, Tapan K., 2020. "An uncertainty-aware deep reinforcement learning framework for residential air conditioning energy management," Applied Energy, Elsevier, vol. 276(C).
    8. Zhang, Xin & Chen, Zhichao & Hou, Jian & Liu, Zheng & Zeng, Lingyan & Li, Zhengqi, 2022. "Evaluation of wide-range coal combustion performance of a novel down-fired combustion technology based on gas–solid two-phase flow characteristics," Energy, Elsevier, vol. 248(C).
    9. Bossink, Bart A.G., 2017. "Demonstrating sustainable energy: A review based model of sustainable energy demonstration projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1349-1362.
    10. Miguel A. Rodríguez-López & Luis M. López-González & Luis M. López-Ochoa & Jesús Las-Heras-Casas, 2018. "Methodology for Detecting Malfunctions and Evaluating the Maintenance Effectiveness in Wind Turbine Generator Bearings Using Generic versus Specific Models from SCADA Data," Energies, MDPI, vol. 11(4), pages 1-22, March.
    11. Rajvikram Madurai Elavarasan & G. M. Shafiullah & Nallapaneni Manoj Kumar & Sanjeevikumar Padmanaban, 2019. "A State-of-the-Art Review on the Drive of Renewables in Gujarat, State of India: Present Situation, Barriers and Future Initiatives," Energies, MDPI, vol. 13(1), pages 1-30, December.
    12. Yoonah Jeong & Jae-Sung Kim & Ye-Eun Lee & Dong-Chul Shin & Kwang-Ho Ahn & Jinhong Jung & Kyeong-Ho Kim & Min-Jong Ku & Seung-Mo Kim & Chung-Hwan Jeon & I-Tae Kim, 2023. "Investigation and Optimization of Co-Combustion Efficiency of Food Waste Biochar and Coal," Sustainability, MDPI, vol. 15(19), pages 1-12, October.
    13. Wu, Chunying & Sun, Lingfang & Piao, Heng & Yao, Lijia, 2024. "Adaptive fuzzy finite time integral sliding mode control of the coordinated system for 350 MW supercritical once-through boiler unit to enhance flexibility," Energy, Elsevier, vol. 302(C).
    14. Jiabao Gu & Hui Wang & Wuquan Li & Ben Niu, 2022. "Adaptive State-Feedback Stabilization for Stochastic Nonlinear Systems with Time-Varying Powers and Unknown Covariance," Mathematics, MDPI, vol. 10(16), pages 1-16, August.
    15. Kotowicz, Janusz & Brzęczek, Mateusz, 2019. "Comprehensive multivariable analysis of the possibility of an increase in the electrical efficiency of a modern combined cycle power plant with and without a CO2 capture and compression installations ," Energy, Elsevier, vol. 175(C), pages 1100-1120.
    16. Kraiem, Nesrine & Jeguirim, Mejdi & Limousy, Lionel & Lajili, Marzouk & Dorge, Sophie & Michelin, Laure & Said, Rachid, 2014. "Impregnation of olive mill wastewater on dry biomasses: Impact on chemical properties and combustion performances," Energy, Elsevier, vol. 78(C), pages 479-489.
    17. Wu, Haiqian & Kuang, Min & Wang, Jialin & Zhao, Xiaojuan & Yang, Guohua & Ti, Shuguang & Ding, Jieyi, 2020. "Lower-arch location effect on the flow field, coal combustion, and NOx formation characteristics in a cascade-arch, down-fired furnace," Applied Energy, Elsevier, vol. 268(C).
    18. Yan, Chen & Ji, Yaxing & Chen, Rui, 2023. "Research on the mechanism of selective industrial policies on enterprises' innovation performance ——Evidence from China's photovoltaic industry," Renewable Energy, Elsevier, vol. 215(C).
    19. Wang, Qingxiang & Chen, Zhichao & Han, Hui & Zeng, Lingyan & Li, Zhengqi, 2019. "Experimental characterization of anthracite combustion and NOx emission for a 300-MWe down-fired boiler with a novel combustion system: Influence of primary and vent air distributions," Applied Energy, Elsevier, vol. 238(C), pages 1551-1562.
    20. Maqbool, Rashid, 2018. "Efficiency and effectiveness of factors affecting renewable energy projects; an empirical perspective," Energy, Elsevier, vol. 158(C), pages 944-956.

    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:appene:v:189:y:2017:i:c:p:654-666. 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/405891/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.