... 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...

... The study presented the applicability of a novel multi-objective optimization approach for CCHP energy systems. Electrical load averages 306 kW, thermal load 406 kW, and cooling load 27 kW. The optimal plant configuration for the investigated case study, considering economic-financial, environmental...

...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...

... and demand under power outages. The results suggest that case studies with demand-satisfying conditions tend to select equipment configurations that effectively improve the expected power shortage rate. energy resilience power outage emergency scenario multi-objective optimization electric power...

... 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...

... is to investigate multi-objective optimization of maximum cumulative oil production and minimum cumulative water production which will result in a Pareto front solution for the decision-making process. Multi-optimal solutions can help in the selection of different operation conditions such as failures...

...–GT, and the power of electrolyzer can have different values. Therefore, to obtain the optimum combination from ecological, economical, and reliability points of view, a multi-objective optimization algorithm (PESA) is considered. This optimization method chooses a set of optimum solutions...

... efficiency (η t ) 85 % Isentropic pump efficiency (η pump ) 85 % In multi-objective optimization, there is a different notion of optimality than in single-objective optimization, since in this case, we are interested in finding good compromises (or trade-offs) among the objectives that we...