Dynamic performance of the transcritical power cycle using CO2-based binary zeotropic mixtures for truck engine waste heat recovery

Gequn Shu, Rui Wang, Hua Tian, Xuan Wang, Xiaoya Li, Jinwen Cai and Zhiqiang Xu

Energy, 2020, vol. 194, issue C

Abstract: CO2 transcritical power cycle (CTPC) technology has received substantial interest and attention for use in waste heat recovery, but its high operating pressure and low condensing temperature restrict its wide application. CO2-based binary zeotropic mixtures are considered a promising solution. Therefore, a CTPC system dynamic model with different CO2 mixtures as the working fluids in the context of engine waste heat recovery is examined using Simulink simulation to understand the effects of different mixtures and composition ratios on system performance in various working conditions. A system dynamic model of the system is thoroughly validated against experimental data, and the results are reasonably consistent. Based on these foundations, the dynamic response of the CTPC system with CO2 mixtures of different proportions and components is compared and analysed. The results show that the system responds faster when the proportion of CO2 is greater. The proportion of refrigerant also affects the optimal net power output and thermal efficiency. The preliminary results presented in this paper will be helpful for future design of CO2 transcritical power cycles and the development of control strategies for these systems.

Keywords: Waste heat recovery; CO2-Based binary zeotropic mixtures; Finite volume method; CO2 transcritical power cycle; Dynamic performance (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:194:y:2020:i:c:s0360544219325204

DOI: 10.1016/j.energy.2019.116825

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