2022
DOI: 10.3390/pr10040674
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Modeling and Optimization of the Flue Gas Heat Recovery of a Marine Dual-Fuel Engine Based on RSM and GA

Abstract: Implementation of flue gas waste heat recovery is an effective way to improve the energy utilization of marine engines. This paper aims to model and optimize a marine four-stroke dual-fuel (DF) engine coupled with a flue gas waste heat recovery system. Firstly, the DF engine and waste heat recovery system were respectively modeled in GT-Power and Simulink environments and verified with experimental data. Then, a regression model was built using the response surface method, with the intake temperature, compress… Show more

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Cited by 6 publications
(6 citation statements)
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“…The aforementioned optimization problem is solved using the Lagrange multiplier approach. The ideal hyperplane function is shown in (18). In the formula, SV is the support vector.…”
Section: Support Vector Machinementioning
confidence: 99%
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“…The aforementioned optimization problem is solved using the Lagrange multiplier approach. The ideal hyperplane function is shown in (18). In the formula, SV is the support vector.…”
Section: Support Vector Machinementioning
confidence: 99%
“…Xie et al [17] used a genetic algorithm to optimize the BPNN engine fault diagnosis model. Meng et al [18] established a dual fuel engine and ship waste heat recovery model and optimized the multi-parameter objectives of the model using a genetic algorithm. As mentioned above, most optimization algorithms are limited to particle swarm optimization (PSO) and genetic algorithm (GA) [19], [20].…”
Section: Introductionmentioning
confidence: 99%
“…Altosole et al [ 142 ] inferred that the majority of available research articles refer to WHR single steam pressure systems, irrespective of the possible energetic advantages of dual-pressure WHR plants. Marine DF engines make use of cleaner fuels, such as natural gas, which has the advantage of cushioning the effect of environmental emission challenges associated with diesel engines [ [143] , [144] , [145] ]. Presently, investigations on DF engines are focused majorly on combustion and emission characteristics, electronic regulation, turbocharged technology, fuel and gas control, etc.…”
Section: Waste Heat Recovery In the Maritime Sectormentioning
confidence: 99%
“…Presently, investigations on DF engines are focused majorly on combustion and emission characteristics, electronic regulation, turbocharged technology, fuel and gas control, etc. Few studies have been carried out on the utilization of the flue gas waste heat of DF engines, and reports reveal that the integration of DF engines with WHR systems has shown the potential to increase their energy conversion efficiency [ 142 , 145 , 146 ].…”
Section: Waste Heat Recovery In the Maritime Sectormentioning
confidence: 99%
“…The multi-objective genetic algorithm used is able to identify the optimal value of the target, and the MOGA sets the parameters: number of samples 600, evolutionary generation 10, crossover factor 0.5 and mutation factor 0.5. The genetic algorithm also introduces systematic constraints to ensure that the algorithm converges to a feasible solution [ 32 ]. The constraints are as follows: …”
Section: S-co 2 Waste Heat Recovery Performance Ev...mentioning
confidence: 99%