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Modeling and Control of a Parallel Waste Heat Recovery System for Euro-VI Heavy-Duty Diesel Engines

Author

Listed:
  • Emanuel Feru

    (Department of Mechanical Engineering, Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands)

  • Frank Willems

    (Department of Mechanical Engineering, Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands
    Powertrain Department, TNO Automotive, Steenovenweg 1, 5708 HN Helmond, The Netherlands)

  • Bram De Jager

    (Department of Mechanical Engineering, Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands)

  • Maarten Steinbuch

    (Department of Mechanical Engineering, Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands)

Abstract

This paper presents the modeling and control of a waste heat recovery systemfor a Euro-VI heavy-duty truck engine. The considered waste heat recovery system consists of two parallel evaporators with expander and pumps mechanically coupled to the engine crankshaft. Compared to previous work, the waste heat recovery system modeling is improved by including evaporator models that combine the finite difference modeling approach with a moving boundary one. Over a specific cycle, the steady-state and dynamic temperature prediction accuracy improved on average by 2% and 7%. From a control design perspective, the objective is to maximize the waste heat recovery system output power.However, for safe system operation, the vapor state needs to be maintained before the expander under highly dynamic engine disturbances. To achieve this, a switching model predictive control strategy is developed. The proposed control strategy performance is demonstrated using the high-fidelity waste heat recovery system model subject to measured disturbances from an Euro-VI heavy-duty diesel engine. Simulations are performed usinga cold-start World Harmonized Transient cycle that covers typical urban, rural and highway driving conditions. The model predictive control strategy provides 15% more time in vaporand recovered thermal energy than a classical proportional-integral (PI) control strategy. In the case that the model is accurately known, the proposed control strategy performance can be improved by 10% in terms of time in vapor and recovered thermal energy. This is demonstrated with an offline nonlinear model predictive control strategy.

Suggested Citation

  • Emanuel Feru & Frank Willems & Bram De Jager & Maarten Steinbuch, 2014. "Modeling and Control of a Parallel Waste Heat Recovery System for Euro-VI Heavy-Duty Diesel Engines," Energies, MDPI, vol. 7(10), pages 1-22, October.
  • Handle: RePEc:gam:jeners:v:7:y:2014:i:10:p:6571-6592:d:41175
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    References listed on IDEAS

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    Cited by:

    1. Alexander Balitskii & Valerii Kolesnikov & Karol F. Abramek & Olexiy Balitskii & Jacek Eliasz & Havrylyuk Marya & Lyubomir Ivaskevych & Ielyzaveta Kolesnikova, 2021. "Influence of Hydrogen-Containing Fuels and Environmentally Friendly Lubricating Coolant on Nitrogen Steels’ Wear Resistance for Spark Ignition Engine Pistons and Rings Kit Gasket Set," Energies, MDPI, vol. 14(22), pages 1-17, November.
    2. Vaupel, Yannic & Huster, Wolfgang R. & Holtorf, Flemming & Mhamdi, Adel & Mitsos, Alexander, 2019. "Analysis and improvement of dynamic heat exchanger models for nominal and start-up operation," Energy, Elsevier, vol. 169(C), pages 1191-1201.
    3. Koppauer, H. & Kemmetmüller, W. & Kugi, A., 2017. "Modeling and optimal steady-state operating points of an ORC waste heat recovery system for diesel engines," Applied Energy, Elsevier, vol. 206(C), pages 329-345.
    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. 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).
    6. Chatzopoulou, Maria Anna & Simpson, Michael & Sapin, Paul & Markides, Christos N., 2019. "Off-design optimisation of organic Rankine cycle (ORC) engines with piston expanders for medium-scale combined heat and power applications," Applied Energy, Elsevier, vol. 238(C), pages 1211-1236.
    7. 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.
    8. Xu, Bin & Li, Xiaoya, 2021. "A Q-learning based transient power optimization method for organic Rankine cycle waste heat recovery system in heavy duty diesel engine applications," Applied Energy, Elsevier, vol. 286(C).
    9. Rijpkema, J. & Munch, K. & Andersson, S.B., 2018. "Thermodynamic potential of twelve working fluids in Rankine and flash cycles for waste heat recovery in heavy duty diesel engines," Energy, Elsevier, vol. 160(C), pages 996-1007.
    10. Huster, Wolfgang R. & Vaupel, Yannic & Mhamdi, Adel & Mitsos, Alexander, 2018. "Validated dynamic model of an organic Rankine cycle (ORC) for waste heat recovery in a diesel truck," Energy, Elsevier, vol. 151(C), pages 647-661.
    11. Vaupel, Yannic & Huster, Wolfgang R. & Mhamdi, Adel & Mitsos, Alexander, 2021. "Optimal operating policies for organic Rankine cycles for waste heat recovery under transient conditions," Energy, Elsevier, vol. 224(C).
    12. Andres Hernandez & Adriano Desideri & Clara Ionescu & Robin De Keyser & Vincent Lemort & Sylvain Quoilin, 2016. "Real-Time Optimization of Organic Rankine Cycle Systems by Extremum-Seeking Control," Energies, MDPI, vol. 9(5), pages 1-18, May.
    13. 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.
    14. Hernandez, Andres & Desideri, Adriano & Gusev, Sergei & Ionescu, Clara M. & Den Broek, Martijn Van & Quoilin, Sylvain & Lemort, Vincent & De Keyser, Robin, 2017. "Design and experimental validation of an adaptive control law to maximize the power generation of a small-scale waste heat recovery system," Applied Energy, Elsevier, vol. 203(C), pages 549-559.
    15. Wen Zhang & Enhua Wang & Fanxiao Meng & Fujun Zhang & Changlu Zhao, 2020. "Closed-Loop PI Control of an Organic Rankine Cycle for Engine Exhaust Heat Recovery," Energies, MDPI, vol. 13(15), pages 1-20, July.
    16. Agudelo, Andrés F. & García-Contreras, Reyes & Agudelo, John R. & Armas, Octavio, 2016. "Potential for exhaust gas energy recovery in a diesel passenger car under European driving cycle," Applied Energy, Elsevier, vol. 174(C), pages 201-212.
    17. Pili, R. & Eyerer, S. & Dawo, F. & Wieland, C. & Spliethoff, H., 2020. "Development of a non-linear state estimator for advanced control of an ORC test rig for geothermal application," Renewable Energy, Elsevier, vol. 161(C), pages 676-690.
    18. Imran, Muhammad & Pili, Roberto & Usman, Muhammad & Haglind, Fredrik, 2020. "Dynamic modeling and control strategies of organic Rankine cycle systems: Methods and challenges," Applied Energy, Elsevier, vol. 276(C).
    19. 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.
    20. Rijpkema, Jelmer & Erlandsson, Olof & Andersson, Sven B. & Munch, Karin, 2022. "Exhaust waste heat recovery from a heavy-duty truck engine: Experiments and simulations," Energy, Elsevier, vol. 238(PB).

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