... parameters are further optimized using a multi-objective optimization algorithm. R245fa is the optimal working fluid for the system, offering maximum net output power and thermal efficiency. The optimal performance can be achieved when the pinch point temperature difference is 1 K, evaporator outlet dryness...

.... The simulation data showed that the combined BP neural network/non-dominated sorting genetic algorithm-II (BP-NSGA-II) was an effective tool for optimizing the injection molding process. The multi-objective optimization of the structural parameters of the HVEP electrode bit based on the NSGA-II algorithm...

... with existing PCHE channel geometries, a 1D heat exchanger model is developed. Then, multi-objective optimization is used to maximize the heat transfer effectiveness of a lab-scale device while limiting its size. Two distinct channel geometries emerge from the optimization. Optimal designs achieve up to 88...

... for publication in the J ournal of E nergy R esources T echnology . 05 10 2022 13 02 2023 19 02 2023 28 03 2023 tri-generation system fuel cells hydrogen feasibility and optimization multi-physical design multi-objective optimization optimization tool alternative energy...

...Hua Jiang; Zihui Zhang; Ziyao Zhang; Wuqi Gong To realize multi-objective optimization of the parallel-connected double-effect mechanical vapor recompression (MVR) system, this article established an optimization model based on the Strength Pareto Evolution Algorithm 2 (SPEA2), where the total...

... a set of Pareto-optimal operational parameters. A multi-objective optimization (MOO) workflow is developed: first, a 2D reservoir model is constructed based on the Fort McMurray formation. Second, a sensitivity analysis is performed to identify the most impactful decision parameters. Third, two response...

...) as the design variable of the conventional optimization tool. Consequently, we performed a multi-objective optimization calculation using two objective functions with seven design variables. Fig. 6 Schematic of multi-objective optimization simulation Schematic of multi-objective optimization simulation...

... distillation system. First, exergy and economic analyses of the system are performed using Engineering Equation software. Then, an artificial neural network is used to develop a mathematical function linking input design variables and objective functions for this system. Finally, a multi-objective optimization...

... in the J ournal of E nergy R esources T echnology . 05 06 2021 27 09 2021 28 09 2021 25 10 2021 multi-objective optimization NSGA-II evolutionary neural network (EvoNN) waterflood optimization reservoir simulation Brugge field oil/gas reservoirs petroleum...

... Wind–Diesel–Hydrogen–Battery Systems ,” Renew. Energy , 33 , pp. 2559 – 2572 . 10.1016/j.renene.2008.02.027 [15] Sadeghi , S. , and Ameri , M. , 2012 , “ Multi-Objective Optimization of PV-Battery Power Systems ,” 20th Annual International Conference on Mechanical Engineering of Iran...

..., the results of multi-objective optimization of the four functions revealed that there is no conflict between net work output and exergy efficiency, and improving one results in the improvement of the other one. The maximum work and exergy efficiency were achieved at the maximum boiler temperature. In the case...