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Integrated dispatch for combined heat and power with thermal energy storage considering heat transfer delay

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  • Zhu, Mengshu
  • Li, Jinghua

Abstract

Installing thermal energy storage (TES) devices and utilizing the TES characteristic of heating networks are effective means of improving the flexibility of combined heat and power (CHP) systems. However, to truly take advantage of these, many factors such as the heat transfer (HT) processes, heat exchanger (HE) internal structure, HT area, mass flow rate, the HT delay are essential to be considered. These vital factors are not discussed in sufficient detail simultaneously and may lead to inaccurate modelling and underutilisation of thermal inertia. Thus, this paper investigates the HT process and thermal time-lag issues by analysing the structure and working characteristics of HE. A novel dispatch model considering HT delays is first established based on detailed HT processes. The developed model poses a strongly non-linear problem that is difficult to solve. Then, a decomposition-coordination method is proposed to deal with it. Furthermore, the sensitivity of different factors affecting HT delays is analysed so that the operator is able to configure parameters more clearly. Simulation results prove the necessity of considering the HT delay in CHP systems and the effectiveness of the proposed model. Further analyses also demonstrate that the proposed method offers higher accuracy than a solver and fitting method.

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  • Zhu, Mengshu & Li, Jinghua, 2022. "Integrated dispatch for combined heat and power with thermal energy storage considering heat transfer delay," Energy, Elsevier, vol. 244(PB).
  • Handle: RePEc:eee:energy:v:244:y:2022:i:pb:s0360544222001335
    DOI: 10.1016/j.energy.2022.123230
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    2. 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.
    3. Yi-Gao Lv & Gao-Peng Zhang & Qiu-Wang Wang & Wen-Xiao Chu, 2022. "Thermal Management Technologies Used for High Heat Flux Automobiles and Aircraft: A Review," Energies, MDPI, vol. 15(21), pages 1-39, November.
    4. Ondřej Putna & Jakub Kůdela & Martin Krňávek & Martin Pavlas & Kamil Ondra, 2022. "Modelling of Change in Fuel Mix within a District Heating Network," Energies, MDPI, vol. 15(8), pages 1-13, April.
    5. Qin, Yuxiao & Liu, Pei & Li, Zheng, 2022. "Multi-timescale hierarchical scheduling of an integrated energy system considering system inertia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    6. Lei, Xuanang & Lin, Yujun & Yang, Qiufan & Zhou, Jianyu & Chen, Xia & Wen, Jinyu, 2022. "Research on coordinated control of renewable-energy-based Heat-Power station system," Applied Energy, Elsevier, vol. 324(C).

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