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Dual-mode fast DMC algorithm for the control of ORC based waste heat recovery system

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  • Shi, Yao
  • Lin, Runze
  • Wu, Xialai
  • Zhang, Zhiming
  • Sun, Pei
  • Xie, Lei
  • Su, Hongye

Abstract

Organic Rankine Cycle (ORC) system stands out in low-grade waste heat recovery for its outstanding performance. Considering the fluctuating nature of the heat source, model predictive control (MPC) is used to control the ORC systems and has achieved good performance. However, with the increase of the number of variables and the expansion of the control/prediction horizon, MPC will take longer calculation time. This may bring about the incapacity to obtain optimization problem solutions in one sampling instant and finally, lead to the failure of the setpoint tracking. To address this problem, in this article, a dual-mode fast dynamic matrix control (FDMC) algorithm grounded on singular value decomposition (SVD) and dynamic matrix control (DMC) is proposed. The presented algorithm features in its calculation speed improvement on the premise of ensuring tracking performance. Two simulations on disturbance rejection and setpoint tracking are performed to verify the effectiveness and rapidity of the proposed algorithm in comparison with the traditional DMC approach.

Suggested Citation

  • Shi, Yao & Lin, Runze & Wu, Xialai & Zhang, Zhiming & Sun, Pei & Xie, Lei & Su, Hongye, 2022. "Dual-mode fast DMC algorithm for the control of ORC based waste heat recovery system," Energy, Elsevier, vol. 244(PA).
    • Handle: RePEc:eee:energy:v:244:y:2022:i:pa:s0360544221029133
    DOI: 10.1016/j.energy.2021.122664
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    2. Lin, Runze & Luo, Yangyang & Wu, Xialai & Chen, Junghui & Huang, Biao & Su, Hongye & Xie, Lei, 2024. "Surrogate empowered Sim2Real transfer of deep reinforcement learning for ORC superheat control," Applied Energy, Elsevier, vol. 356(C).
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    4. Lan, Song & Li, Qingshan & Guo, Xin & Wang, Shukun & Chen, Rui, 2023. "Fuel saving potential analysis of bifunctional vehicular waste heat recovery system using thermoelectric generator and organic Rankine cycle," Energy, Elsevier, vol. 263(PB).
    5. Miao, Zheng & Yan, Peiwei & Xiao, Meng & Zhang, Manzheng & Xu, Jinliang, 2023. "Comparative study on operating strategies of the organic Rankine cycle under transient heat source," Energy, Elsevier, vol. 285(C).

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