Transient performance evaluation of waste heat recovery rankine cycle based system for heavy duty trucks

被引:67
|
作者
Grelet, Vincent [1 ,2 ,3 ,4 ,5 ]
Reiche, Thomas [1 ]
Lemort, Vincent [2 ]
Nadri, Madiha [3 ,4 ,5 ]
Dufour, Pascal [3 ,4 ,5 ]
机构
[1] Volvo Trucks Global Trucks Technol, Adv Technol & Res, 1 Ave Henri Germain, F-69800 St Priest, France
[2] Univ Liege, Thermodynam Lab, Campus Sart Tilman B49, B-4000 Liege, Belgium
[3] Univ Lyon, F-69622 Villeurbanne, France
[4] Univ Lyon 1, F-69622 Villeurbanne, France
[5] CNRS, UMR 5007, LAGEP, F-75700 Paris, France
关键词
Waste heat recovery system; Modeling; Thermodynamic; Rankine cycle; Heavy duty trucks; EXCHANGER MODEL; WORKING FLUIDS; PASSENGER CAR; EXHAUST; DESIGN; OPTIMIZATION; PREDICTION; PARAMETERS;
D O I
10.1016/j.apenergy.2015.11.004
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The study presented in this paper aims to evaluate the transient performance of a waste heat recovery Rankine cycle based system for a heavy duty truck and compare it to steady state evaluation. Assuming some conditions to hold, simple thermodynamic simulations are carried out for the comparison of several fluids. Then a detailed first principle based model is also presented. Last part is focused on the Rankine cycle arrangement choice by means of model based evaluation of fuel economy for each concept where the fuels savings are computed using two methodologies. Fluid choice and concept optimization are conducted taking into account integration constraints (heat rejection, packaging, ... ). This paper shows the importance of the modeling phase when designing Rankine cycle based heat recovery systems and yields a better understanding when it comes to a vehicle integration of a Rankine cycle in a truck. (C) 2016 Published by Elsevier Ltd.
引用
收藏
页码:878 / 892
页数:15
相关论文
共 50 条
  • [1] Modeling and control of Rankine based waste heat recovery systems for heavy duty trucks
    Grelet, V.
    Dufour, P.
    Nadri, M.
    Reiche, T.
    Lemort, V.
    IFAC PAPERSONLINE, 2015, 48 (08): : 568 - 573
  • [2] Transient dynamic modeling and validation of an organic Rankine cycle waste heat recovery system for heavy duty diesel engine applications
    Xu, Bin
    Rathod, Dhruvang
    Kulkarni, Shreyas
    Yebi, Adamu
    Filipi, Zoran
    Onori, Simona
    Hoffman, Mark
    APPLIED ENERGY, 2017, 205 : 260 - 279
  • [3] A novel design method of organic Rankine cycle system harvesting waste heat of heavy-duty trucks based on off-design performance
    Shi, Xiaolei
    Wang, Xuan
    Cai, Jinwen
    Gao, Yan
    Tian, Hua
    Shu, Gequn
    ENERGY SCIENCE & ENGINEERING, 2021, 9 (02) : 172 - 188
  • [4] Explicit multi-model predictive control of a waste heat Rankine based system for heavy duty trucks
    Grelet, Vincent
    Dufour, Pascal
    Nadri, Madiha
    Lemort, Vincent
    Reiche, Thomas
    2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2015, : 179 - 184
  • [5] Robust optimization of an Organic Rankine Cycle for heavy duty engine waste heat recovery
    Bufi, Elio Antonio
    Camporeale, Sergio Mario
    Cinnella, Paola
    4TH INTERNATIONAL SEMINAR ON ORC POWER SYSTEMS, 2017, 129 : 66 - 73
  • [6] Dynamic behavior of Rankine cycle system for waste heat recovery of heavy duty diesel engines under driving cycle
    Xie, Hui
    Yang, Can
    APPLIED ENERGY, 2013, 112 : 130 - 141
  • [7] A Q-learning based transient power optimization method for organic Rankine cycle waste heat recovery system in heavy duty diesel engine applications
    Xu, Bin
    Li, Xiaoya
    APPLIED ENERGY, 2021, 286
  • [8] Experiment Design for Waste Heat Recovery Modeling in Heavy Duty Trucks
    Galuppo, Francesco
    Dufour, Pascal
    Nadri, Madiha
    Reiche, Thomas
    Lemort, Vincent
    IFAC PAPERSONLINE, 2018, 51 (31): : 726 - 731
  • [9] Multi-criteria evaluation of several million working fluids for waste heat recovery by means of Organic Rankine Cycle in passenger cars and heavy-duty trucks
    Preissinger, Markus
    Schwoebel, Johannes A. H.
    Klamt, Andreas
    Brueggemann, Dieter
    APPLIED ENERGY, 2017, 206 : 887 - 899
  • [10] Reinforcement Learning Based Control of an Organic Rankine Cycle Waste Heat Recovery System Over a Drive Cycle for Heavy-Duty Diesel Engines
    Egan, Daniel
    Xu, Bin
    Zhu, Qilun
    Prucka, Robert
    PROCEEDINGS OF ASME 2022 ICE FORWARD CONFERENCE, ICEF2022, 2022,