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Validated dynamic model of an organic Rankine cycle (ORC) for waste heat recovery in a diesel truck

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  • Huster, Wolfgang R.
  • Vaupel, Yannic
  • Mhamdi, Adel
  • Mitsos, Alexander

Abstract

Recovering waste heat from the exhaust gas of diesel trucks using an organic Rankine cycle (ORC) is considered a promising option to reduce emissions and fuel consumption. As the system operates under highly transient boundary conditions, the development of a predictive model accounting for its dynamic behavior is of high relevance. In this contribution, such a model is presented. Evaporator and condenser are modeled using a dynamic moving boundary model, while pump and turbine are represented with pseudo-steady state models, as dynamics are assumed to be negligible here. A fundamental thermodynamic equation of state based on the free Helmholtz energy is implemented for the working fluid ethanol. As unknown parameters, e.g., in heat transfer, occur, a parameter estimation is conducted with the use of measurement data. The model is then validated using different experimental data. It is able to capture the system dynamics well both qualitatively and quantitatively, e.g., the mean relative temperature deviations are all smaller than 4%.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:energy:v:151:y:2018:i:c:p:647-661
    DOI: 10.1016/j.energy.2018.03.058
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    1. Lee, Ung & Mitsos, Alexander, 2017. "Optimal multicomponent working fluid of organic Rankine cycle for exergy transfer from liquefied natural gas regasification," Energy, Elsevier, vol. 127(C), pages 489-501.
    2. 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.
    3. Wang, Tianyou & Zhang, Yajun & Peng, Zhijun & Shu, Gequn, 2011. "A review of researches on thermal exhaust heat recovery with Rankine cycle," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2862-2871, August.
    4. Desideri, Adriano & Hernandez, Andres & Gusev, Sergei & van den Broek, Martijn & Lemort, Vincent & Quoilin, Sylvain, 2016. "Steady-state and dynamic validation of a small-scale waste heat recovery system using the ThermoCycle Modelica library," Energy, Elsevier, vol. 115(P1), pages 684-696.
    5. 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.
    6. Adriano Desideri & Bertrand Dechesne & Jorrit Wronski & Martijn Van den Broek & Sergei Gusev & Vincent Lemort & Sylvain Quoilin, 2016. "Comparison of Moving Boundary and Finite-Volume Heat Exchanger Models in the Modelica Language," Energies, MDPI, vol. 9(5), pages 1-18, May.
    7. Hung, T.C. & Wang, S.K. & Kuo, C.H. & Pei, B.S. & Tsai, K.F., 2010. "A study of organic working fluids on system efficiency of an ORC using low-grade energy sources," Energy, Elsevier, vol. 35(3), pages 1403-1411.
    8. 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.
    9. Xie, Hui & Yang, Can, 2013. "Dynamic behavior of Rankine cycle system for waste heat recovery of heavy duty diesel engines under driving cycle," Applied Energy, Elsevier, vol. 112(C), pages 130-141.
    10. Bao, Junjiang & Zhao, Li, 2013. "A review of working fluid and expander selections for organic Rankine cycle," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 325-342.
    11. 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.
    12. Jolevski, Danijel & Bego, Ozren & Sarajcev, Petar, 2017. "Control structure design and dynamics modelling of the organic Rankine cycle system," Energy, Elsevier, vol. 121(C), pages 193-204.
    13. Horst, Tilmann Abbe & Rottengruber, Hermann-Sebastian & Seifert, Marco & Ringler, Jürgen, 2013. "Dynamic heat exchanger model for performance prediction and control system design of automotive waste heat recovery systems," Applied Energy, Elsevier, vol. 105(C), pages 293-303.
    14. Ghasemi, Hadi & Paci, Marco & Tizzanini, Alessio & Mitsos, Alexander, 2013. "Modeling and optimization of a binary geothermal power plant," Energy, Elsevier, vol. 50(C), pages 412-428.
    15. 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.
    16. Angelino, Gianfranco & Colonna di Paliano, Piero, 1998. "Multicomponent Working Fluids For Organic Rankine Cycles (ORCs)," Energy, Elsevier, vol. 23(6), pages 449-463.
    17. Eligius M. T. Hendrix & Boglárka G.-Tóth, 2010. "Nonlinear Programming algorithms," Springer Optimization and Its Applications, in: Introduction to Nonlinear and Global Optimization, chapter 5, pages 91-136, Springer.
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    1. Matteo Marchionni & Fabio Fatigati & Marco Di Bartolomeo & Davide Di Battista & Mario Petrollese, 2022. "Experimental and Numerical Dynamic Investigation of an ORC System for Waste Heat Recovery Applications in Transportation Sector," Energies, MDPI, vol. 15(24), pages 1-24, December.
    2. Sachajdak, Andrzej & Lappalainen, Jari & Mikkonen, Hannu, 2019. "Dynamic simulation in development of contemporary energy systems – oxy combustion case study," Energy, Elsevier, vol. 181(C), pages 964-973.
    3. Michael Chukwuemeka Ekwonu & Mirae Kim & Binqi Chen & Muhammad Tauseef Nasir & Kyung Chun Kim, 2023. "Dynamic Simulation of Partial Load Operation of an Organic Rankine Cycle with Two Parallel Expanders," Energies, MDPI, vol. 16(1), pages 1-18, January.
    4. 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.
    5. Cai, Jinwen & Shu, Gequn & Tian, Hua & Wang, Xuan & Wang, Rui & Shi, Xiaolei, 2020. "Validation and analysis of organic Rankine cycle dynamic model using zeotropic mixture," Energy, Elsevier, vol. 197(C).
    6. Tim Eller & Florian Heberle & Dieter Brüggemann, 2019. "Transient Simulation of Geothermal Combined Heat and Power Generation for a Resilient Energetic and Economic Evaluation," Energies, MDPI, vol. 12(5), pages 1-16, March.
    7. Du, Yang & Liu, Tingting & Wang, Yaxiong & Chen, Kang & Zhao, Pan & Wang, Jiangfeng & Dai, Yiping, 2021. "Transient behavior investigation of a regenerative dual-evaporator organic Rankine cycle with different forms of disturbances: Towards coordinated feedback control realization," Energy, Elsevier, vol. 235(C).
    8. Baccioli, Andrea & Ferrari, Lorenzo & Vizza, Francesco & Desideri, Umberto, 2019. "Potential energy recovery by integrating an ORC in a biogas plant," Applied Energy, Elsevier, vol. 256(C).
    9. 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).
    10. Cai, Jinwen & Tian, Hua & Wang, Xuan & Wang, Rui & Shu, Gequn & Wang, Mingtao, 2021. "A calibrated organic Rankine cycle dynamic model applying to subcritical system and transcritical system," Energy, Elsevier, vol. 237(C).
    11. 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).
    12. Ma, Xiaofeng & Jiang, Peixue & Zhu, Yinhai, 2022. "Dynamic simulation model with virtual interfaces of supercritical working fluid heat exchanger based on moving boundary method," Energy, Elsevier, vol. 254(PB).
    13. 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.
    14. 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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