Optimization of an Exhaust Heat Exchanger Using Metal Foam Baffles for ORC Waste Heat Recovery System orc2019 Tracking Number 142Presentation: Session: Session 5D: Heat Exchangers (1) Room: Kallirhoe Session start: 16:00 Tue 10 Sep 2019 Tianyu Chen cty0928@tju.edu.cn Affifliation: State Key Laboratory of Engines, Tianjin University Gequn Shu sgq@tju.edu.cn Affifliation: State Key Laboratory of Engines, Tianjin University Hua Tian thtju@tju.edu.cn Affifliation: State Key Laboratory of Engines, Tianjin University Xiaonan Ma maxiaonan@tju.edu.cn Affifliation: State Key Laboratory of Engines, Tianjin University Tingting Zhao 2017201328@tju.edu.cn Affifliation: State Key Laboratory of Engines, Tianjin University Hongfei Zhang 1018201091@tju.edu.cn Affifliation: State Key Laboratory of Engines, Tianjin University Zhao Zhang 2018201364@tju.edu.cn Affifliation: State Key Laboratory of Engines, Tianjin University Topics: - Applications and Energy Sources (Topics), - Heat Exchangers (Topics), - Oral Presentation (Preferred Presentation type) Abstract: Heat exchanger is an important component in ORC waste heat recovery systems (WHRs), and shell and tube heat exchanger is one of the most common heat exchangers. Compared with traditional metal baffle heat exchanger, the heat transfer area of metal-foam baffle heat exchanger (MF-STHE) is enhanced due to the geometry of metal-foam baffles, which results in a significantly increase in heat transfer performance. Properly designed segmental metal foam baffles can reduce pressure loss and enhance heat transfer in MF-STHE. In present investigations, a 3D numerical model of an exhaust heat exchanger using metal-foam segmental baffles is established to optimize its performance. Firstly, the vector distribution is analyzed. Then, some MF-STHE models with various porosity and pore density are simulated under same mass flow rate (1 kg/s) for parametric study. The area goodness factor j/f1/2 is considered as one evaluation factor to reveal the comprehensive performance of different MF-STHEs. The results show that the comprehensive performance of the MF-STHE with ε = 0.71 and PPI = 20 is the optimum one in all MF-STHEs considered in this paper. |