Dynamic performance analysis of transcritical power cycle with preheater and regenerator using CO2-based binary zeotropic mixtures

被引:5
|
作者
Mu, Ke-Ao [1 ]
Hu, Peng [1 ]
Wu, Ze-Rui [1 ]
Ma, Ya-Nan [1 ]
机构
[1] Univ Sci & Technol China, Dept Thermal Sci & Energy Engn, Hefei 230027, Peoples R China
基金
中国国家自然科学基金;
关键词
WASTE HEAT-RECOVERY; CO2; RANKINE-CYCLE; MULTIOBJECTIVE OPTIMIZATION; SOLAR-ENERGY; ORC; SYSTEMS; DRIVEN; MODEL; BEHAVIOR; DESIGN;
D O I
10.1016/j.applthermaleng.2023.121445
中图分类号
O414.1 [热力学];
学科分类号
摘要
The CO2 transcritical Rankine cycle is considered as an ideal solution in the application of waste heat recovery due to its safety, environmental friendliness and compactness characteristics. In this work, for the heat recovery from internal combustion engine, a dynamic model of an improved CO2 transcritical Rankine cycle system containing both a preheater and regenerator with CO2-based binary zeotropic mixtures as working fluid is developed. The performance of CO2 transcritical power cycle with preheater and regenerator was compared and analyzed for mixture working fluids with different proportions under the disturbance of heat source conditions and system input parameters, which can provide references for system control strategy to ensure efficient and stable operating conditions when selecting control variables. The results show that there is a certain pump speed to obtain the optimal value of the net output work and thermal efficiency of the system. And the net output power and thermal efficiency of system with CO2-based binary zeotropic mixtures at optimum point are higher 6. 34 kW and 2.19% respectively than pure CO2 as working fluid by adjusting pump speed.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Analysis and optimization of a transcritical power cycle with regenerator using artificial neural networks and genetic algorithms
    Rashidi, M. M.
    Beg, O. Anwar
    Parsa, A. Basiri
    Nazari, F.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY, 2011, 225 (A6) : 701 - 717
  • [32] Comparison analysis of three CO2-based binary mixtures performing in the supercritical Brayton cycle for molten salt energy storage
    Zhang, Shurong
    Sun, Yeshan
    CASE STUDIES IN THERMAL ENGINEERING, 2024, 62
  • [33] Performance analysis of the ejector-expansion refrigeration cycle using zeotropic mixtures
    Zhao, Li
    Yang, Xingyang
    Deng, Shuai
    Li, Hailong
    Yu, Zhixin
    INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID, 2015, 57 : 197 - 207
  • [34] Dynamic analysis of concentrated solar supercritical CO2-based power generation closed-loop cycle
    Osorio, Julian D.
    Hovsapian, Rob
    Ordonez, Juan C.
    APPLIED THERMAL ENGINEERING, 2016, 93 : 920 - 934
  • [35] Performance Analysis of Transcritical CO2 Compression Cycle
    Wang, Hongli
    Tian, Jingrui
    Liu, Huiqin
    INFORMATION COMPUTING AND APPLICATIONS, PT 2, 2012, 308 : 730 - 736
  • [36] Experimental investigation of a CO2-based Transcritical Rankine Cycle (CTRC) for exhaust gas recovery
    Shi, Lingfeng
    Shu, Gequn
    Tian, Hua
    Huang, Guangdai
    Li, Xiaoya
    Chen, Tianyu
    Li, Ligeng
    ENERGY, 2018, 165 : 1149 - 1159
  • [37] Sensitivity of transcritical cycle and turbine design to dopant fraction in CO2-based working fluids
    Aqel, O. A.
    White, M. T.
    Khader, M. A.
    Sayma, A., I
    APPLIED THERMAL ENGINEERING, 2021, 190
  • [38] Performance analysis and optimization of engine waste heat recovery with an improved transcritical-subcritical parallel organic Rankine cycle based on zeotropic mixtures
    Zhi, Liang-Hui
    Hu, Peng
    Chen, Long-Xiang
    Zhao, Gang
    APPLIED THERMAL ENGINEERING, 2020, 181
  • [39] Performance of supercritical Brayton cycle using CO2-based binary mixture at varying critical points for SFR applications
    Jeong, Woo Seok
    Jeong, Yong Hoon
    NUCLEAR ENGINEERING AND DESIGN, 2013, 262 : 12 - 20
  • [40] Effect of CO2-based binary mixtures on the performance of radial-inflow turbines for the supercritical CO2 cycles
    Yang, Yueming
    Wang, Xurong
    Hooman, Kamel
    Han, Kuihua
    Xu, Jinliang
    He, Suoying
    Qi, Jianhui
    ENERGY, 2023, 266