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Comparison of control strategies and dynamic behaviour analysis of a Kalina cycle driven by a low-grade heat source

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  • Cheng, Ziyang
  • Wang, Jiangfeng
  • Yang, Peijun
  • Wang, Yaxiong
  • Chen, Gang
  • Zhao, Pan
  • Dai, Yiping

Abstract

Kalina cycle is a promising heat-to-power technology in low-grade heat recovery applications. Most previous research concerning the Kalina cycle systems focused on the analysis and optimization based on static models with less consideration given to dynamic performance. It is important to explore the dynamic behaviour of the Kalina cycle system for operation safety due to the fluctuation of low-grade heat sources and the external load. In this paper, a dynamic model of a Kalina cycle system driven by a low-grade heat source is established to analyse the dynamic behaviour of the system. The valve-pump coordination control strategy and the pump control strategy are proposed and compared with the valve control strategy, with the turbine rotational speed as the controlled variable. Result reveals that the valve-pump coordination control strategy reduces the transient time and overshoot by 56.3% and 67.9%, respectively. The dynamic behaviours of the Kalina cycle system under valve-pump coordination control strategy subjecting to disturbance are then studied, including heat source temperature disturbance, heat source mass flow rate disturbance, and system load disturbance. The results show that for these disturbances, the transient times of the turbine rotational speed are 11.8 s, 12.1 s and 11.7 s while the overshoots of that are 1.30%, 1.67% and 1.33%, respectively.

Suggested Citation

  • Cheng, Ziyang & Wang, Jiangfeng & Yang, Peijun & Wang, Yaxiong & Chen, Gang & Zhao, Pan & Dai, Yiping, 2022. "Comparison of control strategies and dynamic behaviour analysis of a Kalina cycle driven by a low-grade heat source," Energy, Elsevier, vol. 242(C).
    • Handle: RePEc:eee:energy:v:242:y:2022:i:c:s0360544221032072
    DOI: 10.1016/j.energy.2021.122958
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    References listed on IDEAS

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    1. Wang, Jianyong & Wang, Jiangfeng & Dai, Yiping & Zhao, Pan, 2017. "Assessment of off-design performance of a Kalina cycle driven by low-grade heat source," Energy, Elsevier, vol. 138(C), pages 459-472.
    2. Xu, Bin & Rathod, Dhruvang & Kulkarni, Shreyas & Yebi, Adamu & Filipi, Zoran & Onori, Simona & Hoffman, Mark, 2017. "Transient dynamic modeling and validation of an organic Rankine cycle waste heat recovery system for heavy duty diesel engine applications," Applied Energy, Elsevier, vol. 205(C), pages 260-279.
    3. Mazzi, N. & Rech, S. & Lazzaretto, A., 2015. "Off-design dynamic model of a real Organic Rankine Cycle system fuelled by exhaust gases from industrial processes," Energy, Elsevier, vol. 90(P1), pages 537-551.
    4. Guzović, Z. & Lončar, D. & Ferdelji, N., 2010. "Possibilities of electricity generation in the Republic of Croatia by means of geothermal energy," Energy, Elsevier, vol. 35(8), pages 3429-3440.
    5. Larsen, Ulrik & Nguyen, Tuong-Van & Knudsen, Thomas & Haglind, Fredrik, 2014. "System analysis and optimisation of a Kalina split-cycle for waste heat recovery on large marine diesel engines," Energy, Elsevier, vol. 64(C), pages 484-494.
    6. Zhang, Jianhua & Zhou, Yeli & Wang, Rui & Xu, Jinliang & Fang, Fang, 2014. "Modeling and constrained multivariable predictive control for ORC (Organic Rankine Cycle) based waste heat energy conversion systems," Energy, Elsevier, vol. 66(C), pages 128-138.
    7. Quoilin, Sylvain & Aumann, Richard & Grill, Andreas & Schuster, Andreas & Lemort, Vincent & Spliethoff, Hartmut, 2011. "Dynamic modeling and optimal control strategy of waste heat recovery Organic Rankine Cycles," Applied Energy, Elsevier, vol. 88(6), pages 2183-2190, June.
    8. Mokarram, N. Hassani & Mosaffa, A.H., 2018. "A comparative study and optimization of enhanced integrated geothermal flash and Kalina cycles: A thermoeconomic assessment," Energy, Elsevier, vol. 162(C), pages 111-125.
    9. Ouyang, Tiancheng & Wang, Zhiping & Wang, Geng & Zhao, Zhongkai & Xie, Shutao & Li, Xiaoqing, 2021. "Advanced thermo-economic scheme and multi-objective optimization for exploiting the waste heat potentiality of marine natural gas engine," Energy, Elsevier, vol. 236(C).
    10. Xu, Bin & Rathod, Dhruvang & Yebi, Adamu & Filipi, Zoran & Onori, Simona & Hoffman, Mark, 2019. "A comprehensive review of organic rankine cycle waste heat recovery systems in heavy-duty diesel engine applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 145-170.
    11. Dawo, Fabian & Wieland, Christoph & Spliethoff, Hartmut, 2019. "Kalina power plant part load modeling: Comparison of different approaches to model part load behavior and validation on real operating data," Energy, Elsevier, vol. 174(C), pages 625-637.
    12. Zare, V. & Mahmoudi, S.M.S. & Yari, M. & Amidpour, M., 2012. "Thermoeconomic analysis and optimization of an ammonia–water power/cooling cogeneration cycle," Energy, Elsevier, vol. 47(1), pages 271-283.
    13. Chen, Xiaoxue & Liu, Chao & Li, Qibin & Wang, Xurong & Wang, Shukun, 2020. "Dynamic behavior of supercritical organic Rankine cycle using zeotropic mixture working fluids," Energy, Elsevier, vol. 191(C).
    14. Sun, Faming & Zhou, Weisheng & Ikegami, Yasuyuki & Nakagami, Kenichi & Su, Xuanming, 2014. "Energy–exergy analysis and optimization of the solar-boosted Kalina cycle system 11 (KCS-11)," Renewable Energy, Elsevier, vol. 66(C), pages 268-279.
    15. Babaelahi, Mojtaba & Mofidipour, Ehsan & Rafat, Ehsan, 2019. "Design, dynamic analysis and control-based exergetic optimization for solar-driven Kalina power plant," Energy, Elsevier, vol. 187(C).
    16. Cao, Liyan & Wang, Jiangfeng & Dai, Yiping, 2014. "Thermodynamic analysis of a biomass-fired Kalina cycle with regenerative heater," Energy, Elsevier, vol. 77(C), pages 760-770.
    17. Manente, Giovanni & Toffolo, Andrea & Lazzaretto, Andrea & Paci, Marco, 2013. "An Organic Rankine Cycle off-design model for the search of the optimal control strategy," Energy, Elsevier, vol. 58(C), pages 97-106.
    18. Yingcheng, Xue & Nengling, Tai, 2011. "Review of contribution to frequency control through variable speed wind turbine," Renewable Energy, Elsevier, vol. 36(6), pages 1671-1677.
    19. Yousefzadeh, Moslem & Uzgoren, Eray, 2015. "Mass-conserving dynamic organic Rankine cycle model to investigate the link between mass distribution and system state," Energy, Elsevier, vol. 93(P1), pages 1128-1139.
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