... generated experimental performance data for narrow-gap thermionic energy conversion devices. This investigation explores the use of genetic algorithms to fit existing data with physics-inspired model equations. The resulting model equations can be used for performance prediction for system design...

..., an optimal set of parameters could be obtained that maximize the absorbed solar irradiation for a given PTSC. Genetic algorithm (GA), particle swarm optimization (PSO), and African vultures optimization algorithm (AVOA) are utilized to estimate the optimal values of parameters. Significant improvement...

... the reduction process. A transient lumped heat transfer model is developed for the simulation of the process. Parametric analysis and genetic algorithm are used to find the optimal N 2 flow rate and establish a novel N 2 feeding strategy with variable flow to maximize the thermal efficiency for water splitting...

..., and the influence of turbine inlet pressure and working fluid mass flow ratio ε (mass flow ratio of CO 2 to R600) on the system performance is analyzed. Genetic algorithm-based multiobjective optimization is used to obtain the Pareto solution set for the thermal performance and unit investment cost of the system...

... Energy Division of ASME for publication in the J ournal of S olar E nergy E ngineering : I ncluding W ind E nergy and B uilding E nergy C onservation . 25 05 2020 28 11 2020 03 12 2020 03 02 2021 doubly fed induction generator wind farm genetic algorithm flower...

... simultaneously address the issues of the optimal solar concentrator layout and trade-off of conflict objectives between the energy user and the concentrator manufacturer. This study proposes a nondominated sorting genetic algorithm for multiple-objective optimization solution. To summarize, the result from...

... collector mass flow rate, solar thermal energy storage volume, and solar electrical energy storage size. The genetic algorithm (GA) is selected to solve the single-objective optimization problem and find the global optimum design for the lowest electrical consumption. To optimize the two objective functions...

... Using Artificial Neural-Networks and Genetic Algorithms ,” Appl. Energy , 77 (4), pp. 383 – 405 . 10.1016/S0306-2619(03)00153-3 [14] Sayyaadi , H. , and Abdollahi , G. , 2013 , “ Application of the Multi-Objective Optimization and Risk Analysis for the Sizing of a Residential Small...

.... This study presents a computational method for reforming the layout of a special sunlight concentrator that consists of a set of prisms to significantly enhance its light intensity. Sunlight movement toward the prisms is modeled, and a genetic algorithm is applied to find a good concentrator layout...

...) are employed. The gains of these FACTS controllers are tuned with a simple genetic algorithm. It is observed that among the FACTS controllers considered, UPFC is superior not only in regulating the voltage but also in mitigating the rotor speed instability. 14 11 2007 01 06 2008 07 01 2009...