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Modelling of Evaporator in Waste Heat Recovery System using Finite Volume Method and Fuzzy Technique

Author

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  • Jahedul Islam Chowdhury

    (School of Mechanical and Aerospace Engineering, Queen’s University Belfast, Belfast BT9 5AH, UK)

  • Bao Kha Nguyen

    (School of Mechanical and Aerospace Engineering, Queen’s University Belfast, Belfast BT9 5AH, UK)

  • David Thornhill

    (School of Mechanical and Aerospace Engineering, Queen’s University Belfast, Belfast BT9 5AH, UK)

Abstract

The evaporator is an important component in the Organic Rankine Cycle (ORC)-based Waste Heat Recovery (WHR) system since the effective heat transfer of this device reflects on the efficiency of the system. When the WHR system operates under supercritical conditions, the heat transfer mechanism in the evaporator is unpredictable due to the change of thermo-physical properties of the fluid with temperature. Although the conventional finite volume model can successfully capture those changes in the evaporator of the WHR process, the computation time for this method is high. To reduce the computation time, this paper develops a new fuzzy based evaporator model and compares its performance with the finite volume method. The results show that the fuzzy technique can be applied to predict the output of the supercritical evaporator in the waste heat recovery system and can significantly reduce the required computation time. The proposed model, therefore, has the potential to be used in real time control applications.

Suggested Citation

  • Jahedul Islam Chowdhury & Bao Kha Nguyen & David Thornhill, 2015. "Modelling of Evaporator in Waste Heat Recovery System using Finite Volume Method and Fuzzy Technique," Energies, MDPI, vol. 8(12), pages 1-20, December.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:12:p:12413-14097:d:60533
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    References listed on IDEAS

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    2. Syamimi Saadon & Nur Athirah Mohd Nasir, 2020. "Performance and Sustainability Analysis of an Organic Rankine Cycle System in Subcritical and Supercritical Conditions for Waste Heat Recovery," Energies, MDPI, vol. 13(12), pages 1-24, June.
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    4. Jahedul Islam Chowdhury & Bao Kha Nguyen & David Thornhill & Yukun Hu & Payam Soulatiantork & Nazmiye Balta-Ozkan & Liz Varga, 2018. "Fuzzy Nonlinear Dynamic Evaporator Model in Supercritical Organic Rankine Cycle Waste Heat Recovery Systems," Energies, MDPI, vol. 11(4), pages 1-24, April.
    5. Broniszewski, Mariusz & Werle, Sebastian, 2020. "CO2 reduction methods and evaluation of proposed energy efficiency improvements in Poland’s large industrial plant," Energy, Elsevier, vol. 202(C).
    6. Wenzhi Gao & Wangbo He & Lifeng Wei & Guanghua Li & Ziqi Liu, 2016. "Experimental and Potential Analysis of a Single-Valve Expander for Waste Heat Recovery of a Gasoline Engine," Energies, MDPI, vol. 9(12), pages 1-15, November.
    7. Chowdhury, Jahedul Islam & Hu, Yukun & Haltas, Ismail & Balta-Ozkan, Nazmiye & Matthew, George Jr. & Varga, Liz, 2018. "Reducing industrial energy demand in the UK: A review of energy efficiency technologies and energy saving potential in selected sectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 1153-1178.
    8. Markus Preißinger & Dieter Brüggemann, 2016. "Thermal Stability of Hexamethyldisiloxane (MM) for High-Temperature Organic Rankine Cycle (ORC)," Energies, MDPI, vol. 9(3), pages 1-11, March.
    9. Wanming Pan & Junkang Li & Guotao Zhang & Le Zhou & Ming Tu, 2022. "Multi-Objective Optimization of Organic Rankine Cycle (ORC) for Tractor Waste Heat Recovery Based on Particle Swarm Optimization," Energies, MDPI, vol. 15(18), pages 1-24, September.

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