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Hybrid GPR-GA optimisation of S-CO2 Brayton cycle for enhanced marine engine waste heat recovery
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DOI：10.1016/j.supflu.2026.106932.png)
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Abstract
En 中文
The parameters optimisation of the supercritical carbon dioxide recompression Brayton cycle (SCRBC) for the flue gas waste heat recovery of the marine low-speed engine (MLSE) 6EX340EF was investigated to effectively recover the flue gas waste heat from the low-speed engines. Experimental MLSE data were used to establish a one-dimensional simulation model of the SCRBC. The gaussian process regression model demonstrated superior accuracy in capturing the complex correlations among the cycle parameters of pressure ratio, split ratio, cycle efficiency, and net power. A multi-objective genetic algorithm and the technique for order preference by similarity to an ideal solution method was employed to determine the optimal combination of cycle parameters under varying engine loads. A comprehensive 4E (Energy, Economy, Environment, Efficiency) analysis was conducted to evaluate the performance of the S-CO2 Brayton cycle systemin improving power performance, fuel economy, and environmental sustainability of marine low-speed engines. The results show that at 100 % MLSE load, with a split ratio of 0.112 and a pressure ratio of 1.792, the net recovered work is 177.768 kW, and the Brayton cycle efficiency is 19.24 %. Under these conditions, the total efficiency improves by 1.69 %, the fuel consumption rate decreases by 6.43 (g/kW & sdot;h), and the levelized cost of energy is 3.006 & times; 10-2($ kW-1 & sdot;h-1), RCO2 is 9.661 & times; 105(kg & sdot;a-1), and eeff is 23.31 %. This research establishes a performance-optimisation methodology for S-CO2Brayton cycles for low-speed engine waste heat recovery, which can be extended to other low-speed engines.
Keywords:
Marine low-speed engine
S-CO 2 Brayton cycle
Waste heat recovery
Gaussian process regression
4E analysis
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