[[abstract]]To ensure the core status can meet the requirements of thermal limits, stability and other constraints during the power ascension process of a nuclear power plant, operators usually gradually increase power based on onsite measurements and experience. To reduce the operator's burden, this research develops a method to find an optimal power ascension path that can be followed by operators. The power ascension path is formulated as a multiobjective optimization problem with the following constraints: power ascension time, thermal limits, core stability and maximum rod line. A genetic algorithm is adopted to obtain the optimal power ascension path. The results show that using our approach full power can be achieved quickly, while m...
To improve the marketability of novel microreactor designs, there is a need for automated and optima...
The goal of the nuclear reactor in-core fuel management is to analyze and propose new core configura...
AbstractIn this research, for the first time, a new optimization method, i.e., strength Pareto evolu...
[[abstract]]A method that includes a genetic algorithm (GA), principal component analysis (PCA), and...
In nuclear power plants feedwater heaters are used to heat feedwater from its temperature leaving th...
A typical 1000Â MW pressurized water reactor (PWR) nuclear power plant is considered for optimizatio...
Abstract In recent years, various studies have been conducted on optimization of hydro and thermal p...
The study demonstrates an application of genetic algorithms (GAs) in the optimization of the first c...
A new system to optimize both control rod pattern and fuel-loading design in boiling water reactors ...
Because of the increase of intermittent renewable energies, load follow operations for French PWR wi...
International audienceDevelopment of a technico-economic optimization strategy of cogeneration syste...
Over the past decades, many publications on the use of genetic algorithms, which offer a new and pow...
Approaches are examined in the present paper to the application of genetic algorithms for optimizati...
This paper presents solution of optimal power flow problem of large distribution systems via a simpl...
This paper presents an improved genetic algorithm approach developed to solve the optimal generation...
To improve the marketability of novel microreactor designs, there is a need for automated and optima...
The goal of the nuclear reactor in-core fuel management is to analyze and propose new core configura...
AbstractIn this research, for the first time, a new optimization method, i.e., strength Pareto evolu...
[[abstract]]A method that includes a genetic algorithm (GA), principal component analysis (PCA), and...
In nuclear power plants feedwater heaters are used to heat feedwater from its temperature leaving th...
A typical 1000Â MW pressurized water reactor (PWR) nuclear power plant is considered for optimizatio...
Abstract In recent years, various studies have been conducted on optimization of hydro and thermal p...
The study demonstrates an application of genetic algorithms (GAs) in the optimization of the first c...
A new system to optimize both control rod pattern and fuel-loading design in boiling water reactors ...
Because of the increase of intermittent renewable energies, load follow operations for French PWR wi...
International audienceDevelopment of a technico-economic optimization strategy of cogeneration syste...
Over the past decades, many publications on the use of genetic algorithms, which offer a new and pow...
Approaches are examined in the present paper to the application of genetic algorithms for optimizati...
This paper presents solution of optimal power flow problem of large distribution systems via a simpl...
This paper presents an improved genetic algorithm approach developed to solve the optimal generation...
To improve the marketability of novel microreactor designs, there is a need for automated and optima...
The goal of the nuclear reactor in-core fuel management is to analyze and propose new core configura...
AbstractIn this research, for the first time, a new optimization method, i.e., strength Pareto evolu...