IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v307y2022ics0306261921014677.html
   My bibliography  Save this article

An online parameter identification and real-time optimization platform for thermal systems and its application

Author

Listed:
  • Chen, Xi
  • Zhao, Tian
  • Chen, Qun

Abstract

Real-time performance optimization of thermal systems is crucial for energy conservation but also challenging because of the high system complexity and time sensitivity. Herein, an online parameter identification and real-time optimization platform for thermal systems is developed, and a gas-steam combined cycle cogeneration system is used to demonstrate its capability. The platform integrates data collection, parameter identification, system simulation, and real-time optimization modules. The data preprocessing and parameter identification modules collects real-time operation parameters for optimization. The system simulation module applies the heat current method to model the cogeneration system precisely, and a high-efficiency simulation procedure is proposed using the hierarchical and categorized (H&C) algorithm. The system optimization module introduces the artificial neural network technology to ensure the response time of real-time optimization. Meanwhile, the H&C algorithm and genetic algorithm are combined to update the database to improve the optimization performance gradually. The platform is first validated on three typical conditions. It is further deployed at a power plant, where a field test is conducted for the practical verification. Field test results show that the standard coal consumption of the cogeneration system could be reduced by 0.415 g/kWh by using the platform, which proves its practicability.

Suggested Citation

  • Chen, Xi & Zhao, Tian & Chen, Qun, 2022. "An online parameter identification and real-time optimization platform for thermal systems and its application," Applied Energy, Elsevier, vol. 307(C).
    • Handle: RePEc:eee:appene:v:307:y:2022:i:c:s0306261921014677
    DOI: 10.1016/j.apenergy.2021.118199
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921014677
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2021.118199?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. Anvari, Simin & Mahian, Omid & Taghavifar, Hadi & Wongwises, Somchai & Desideri, Umberto, 2020. "4E analysis of a modified multigeneration system designed for power, heating/cooling, and water desalination," Applied Energy, Elsevier, vol. 270(C).
    2. Jiyuan Kuang & Chenghui Zhang & Fan Li & Bo Sun, 2018. "Dynamic Optimization of Combined Cooling, Heating, and Power Systems with Energy Storage Units," Energies, MDPI, vol. 11(9), pages 1-16, August.
    3. Emadi, Mohammad Ali & Chitgar, Nazanin & Oyewunmi, Oyeniyi A. & Markides, Christos N., 2020. "Working-fluid selection and thermoeconomic optimisation of a combined cycle cogeneration dual-loop organic Rankine cycle (ORC) system for solid oxide fuel cell (SOFC) waste-heat recovery," Applied Energy, Elsevier, vol. 261(C).
    4. Wang, Chaoyang & Zhao, Yongliang & Liu, Ming & Qiao, Yongqiang & Chong, Daotong & Yan, Junjie, 2018. "Peak shaving operational optimization of supercritical coal-fired power plants by revising control strategy for water-fuel ratio," Applied Energy, Elsevier, vol. 216(C), pages 212-223.
    5. Zhang, Hongsheng & Liu, Xingang & Liu, Yifeng & Duan, Chenghong & Dou, Zhan & Qin, Jiyun, 2021. "Energy and exergy analyses of a novel cogeneration system coupled with absorption heat pump and organic Rankine cycle based on a direct air cooling coal-fired power plant," Energy, Elsevier, vol. 229(C).
    6. Wang, Chaoyang & Liu, Ming & Li, Bingxin & Liu, Yiwen & Yan, Junjie, 2017. "Thermodynamic analysis on the transient cycling of coal-fired power plants: Simulation study of a 660 MW supercritical unit," Energy, Elsevier, vol. 122(C), pages 505-527.
    7. Frangopoulos, Christos A., 2018. "Recent developments and trends in optimization of energy systems," Energy, Elsevier, vol. 164(C), pages 1011-1020.
    8. Pereira, João S. & Ribeiro, José B. & Mendes, Ricardo & Vaz, Gilberto C. & André, Jorge C., 2018. "ORC based micro-cogeneration systems for residential application – A state of the art review and current challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 728-743.
    9. Isa, Normazlina Mat & Tan, Chee Wei & Yatim, A.H.M., 2018. "A comprehensive review of cogeneration system in a microgrid: A perspective from architecture and operating system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2236-2263.
    10. Chen, Xi & Chen, Qun & Chen, Hong & Xu, Ying-Gen & Zhao, Tian & Hu, Kang & He, Ke-Lun, 2019. "Heat current method for analysis and optimization of heat recovery-based power generation systems," Energy, Elsevier, vol. 189(C).
    11. Zhao, Jing & Wang, Jianzhou & Su, Zhongyue, 2014. "Power generation and renewable potential in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 727-740.
    12. Li, Fan & Sun, Bo & Zhang, Chenghui & Zhang, Lizhi, 2018. "Operation optimization for combined cooling, heating, and power system with condensation heat recovery," Applied Energy, Elsevier, vol. 230(C), pages 305-316.
    13. Anvari, Simin & Desideri, Umberto & Taghavifar, Hadi, 2020. "Design of a combined power, heating and cooling system at sized and undersized configurations for a reference building: Technoeconomic and topological considerations in Iran and Italy," Applied Energy, Elsevier, vol. 258(C).
    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. He, Ke-Lun & Zhao, Tian & Ma, Huan & Chen, Qun, 2023. "Optimal operation of integrated power and thermal systems for flexibility improvement based on evaluation and utilization of heat storage in district heating systems," Energy, Elsevier, vol. 274(C).
    2. Xu, Rong-Hong & Zhao, Tian & Ma, Huan & He, Ke-Lun & Lv, Hong-Kun & Guo, Xu-Tao & Chen, Qun, 2023. "Operation optimization of distributed energy systems considering nonlinear characteristics of multi-energy transport and conversion processes," Energy, Elsevier, vol. 283(C).
    3. Lin, Xiaojie & Mao, Yihui & Chen, Jiaying & Zhong, Wei, 2023. "Dynamic modeling and uncertainty quantification of district heating systems considering renewable energy access," Applied Energy, Elsevier, vol. 349(C).
    4. Xin, Yong-Lin & Sun, Qing-Han & Zhao, Tian & Li, Xia & Chen, Qun, 2023. "A categorized and decomposed algorithm for thermal system simulation based on generalized benders decomposition," Energy, Elsevier, vol. 282(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. Montazerinejad, H. & Eicker, U., 2022. "Recent development of heat and power generation using renewable fuels: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    2. Luca Urbanucci & Francesco D’Ettorre & Daniele Testi, 2019. "A Comprehensive Methodology for the Integrated Optimal Sizing and Operation of Cogeneration Systems with Thermal Energy Storage," Energies, MDPI, vol. 12(5), pages 1-17, March.
    3. Fan Li & Jingxi Su & Bo Sun, 2023. "An Optimal Scheduling Method for an Integrated Energy System Based on an Improved k-Means Clustering Algorithm," Energies, MDPI, vol. 16(9), pages 1-22, April.
    4. Hu, Shuozhuo & Li, Jian & Yang, Fubin & Yang, Zhen & Duan, Yuanyuan, 2020. "Multi-objective optimization of organic Rankine cycle using hydrofluorolefins (HFOs) based on different target preferences," Energy, Elsevier, vol. 203(C).
    5. 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).
    6. 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).
    7. Chunlai Yang & Xiaoguang Hao & Qijun Zhang & Heng Chen & Zhe Yin & Fei Jin, 2023. "Performance Analysis of a 300 MW Coal-Fired Power Unit during the Transient Processes for Peak Shaving," Energies, MDPI, vol. 16(9), pages 1-17, April.
    8. Wang, Chaoyang & Liu, Ming & Zhao, Yongliang & Qiao, Yongqiang & Yan, Junjie, 2018. "Entropy generation analysis on a heat exchanger with different design and operation factors during transient processes," Energy, Elsevier, vol. 158(C), pages 330-342.
    9. Ouyang, Tiancheng & Pan, Mingming & Tan, Xianlin & Li, Lulu & Huang, Youbin & Mo, Chunlan, 2024. "Power prediction and packed bed heat storage control for marine diesel engine waste heat recovery," Applied Energy, Elsevier, vol. 357(C).
    10. Li, Ruonan & Mhaskar, Prashant & Mahalec, Vladimir, 2021. "Integration of energy systems for buildings and light industrial plants," Energy, Elsevier, vol. 233(C).
    11. 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).
    12. Yin, Junjie & Liu, Ming & Zhao, Yongliang & Wang, Chaoyang & Yan, Junjie, 2021. "Dynamic performance and control strategy modification for coal-fired power unit under coal quality variation," Energy, Elsevier, vol. 223(C).
    13. 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.
    14. 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.
    15. Xiao Gong & Fan Li & Bo Sun & Dong Liu, 2020. "Collaborative Optimization of Multi-Energy Complementary Combined Cooling, Heating, and Power Systems Considering Schedulable Loads," Energies, MDPI, vol. 13(4), pages 1-17, February.
    16. Chen, Ke & Pan, Ming, 2021. "Operation optimization of combined cooling, heating, and power superstructure system for satisfying demand fluctuation," Energy, Elsevier, vol. 237(C).
    17. Li, Fan & Sun, Bo & Zhang, Chenghui & Liu, Che, 2019. "A hybrid optimization-based scheduling strategy for combined cooling, heating, and power system with thermal energy storage," Energy, Elsevier, vol. 188(C).
    18. Ghavami, Morteza & Gholizadeh, Mohammad & Deymi-Dashtebayaz, Mahdi, 2023. "Parametric study and optimization analysis of a multi-generation system using waste heat in natural gas refinery- an energy and exergoeconomic analysis," Energy, Elsevier, vol. 272(C).
    19. Dimitris Katsaprakakis & Vasilis Kagiamis & George Zidianakis & Luca Ambrosini, 2019. "Operation Algorithms and Computational Simulation of Physical Cooling and Heat Recovery for Indoor Space Conditioning. A Case Study for a Hydro Power Plant in Lugano, Switzerland," Sustainability, MDPI, vol. 11(17), pages 1-36, August.
    20. Zhao, Xin & Zheng, Wenyu & Hou, Zhihua & Chen, Heng & Xu, Gang & Liu, Wenyi & Chen, Honggang, 2022. "Economic dispatch of multi-energy system considering seasonal variation based on hybrid operation strategy," Energy, Elsevier, vol. 238(PA).

    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:307:y:2022:i:c:s0306261921014677. 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.