Artificial intelligence in nuclear industry: Chimera or solution?
S Suman - Journal of Cleaner Production, 2021 - Elsevier
Nuclear industry is in crisis and innovation is the central theme of its survival in future.
Artificial intelligence has made a quantum leap in last few years. This paper …
Artificial intelligence has made a quantum leap in last few years. This paper …
Stochastic techniques used for optimization in solar systems: A review
N Sharma - Renewable and Sustainable Energy Reviews, 2012 - Elsevier
Nowadays, optimization of solar systems is used to reduce system total cost, increased life
cycle savings and improving thermal efficiency. It is very demanding for optimal utilization of …
cycle savings and improving thermal efficiency. It is very demanding for optimal utilization of …
[HTML][HTML] An ultrasound-assisted system for the optimization of biodiesel production from chicken fat oil using a genetic algorithm and response surface methodology
Biodiesel is a green (clean), renewable energy source and is an alternative for diesel fuel.
Biodiesel can be produced from vegetable oil, animal fat and waste cooking oil or fat. Fats …
Biodiesel can be produced from vegetable oil, animal fat and waste cooking oil or fat. Fats …
A hydrodynamic cavitation-assisted system for optimization of biodiesel production from green microalgae oil using a genetic algorithm and response surface …
TA Khan, TA Khan, A Kumar Yadav - Environmental Science and Pollution …, 2022 - Springer
In the present research work, the effect of operating parameters such as molar ratio (3: 1–7:
1), catalyst concentration (0.5–1.5%), reaction time (5–25 min), and operating pressure (0–4 …
1), catalyst concentration (0.5–1.5%), reaction time (5–25 min), and operating pressure (0–4 …
ANN-GA based optimization of a high ash coal-fired supercritical power plant
The efficiency of coal-fired power plant depends on various operating parameters such as
main steam/reheat steam pressures and temperatures, turbine extraction pressures, and …
main steam/reheat steam pressures and temperatures, turbine extraction pressures, and …
Multiprocessor modeling of parallel Particle Swarm Optimization applied to nuclear engineering problems
M Waintraub, R Schirru, CMNA Pereira - Progress in Nuclear Energy, 2009 - Elsevier
Particle Swarm Optimization (PSO) is a population-based metaheuristic (PBM), in which
solution candidates evolve through simulation of a simplified social adaptation model …
solution candidates evolve through simulation of a simplified social adaptation model …
Genetic algorithm approach to optimize biodiesel production by ultrasonic system
Ultrasonic processing is an effective tool to attain required mixing while providing the
necessary activation energy in the field of biofuels. In this regard, optimization of fast …
necessary activation energy in the field of biofuels. In this regard, optimization of fast …
Optimization and analysis of design parameters, excess air ratio, and coal consumption in the supercritical 660 MW power plant performance using artificial neural …
G Naveen Kumar, E Gundabattini - Journal of The Institution of Engineers …, 2022 - Springer
This work discusses the supercritical technology that has been instrumental in reducing
pollution levels and quick load response from the thermal plant. Various operating …
pollution levels and quick load response from the thermal plant. Various operating …
[HTML][HTML] Modeling and optimization of galena dissolution in a binary solution of nitric acid and ferric chloride using artificial neural network coupled with genetic …
IA Nnanwube, OD Onukwuli - South African Journal of Chemical …, 2020 - Elsevier
In this research, the optimization of lead recovery from galena with a binary solution of nitric
acid and ferric chloride using response surface methodology (RSM), artificial neural network …
acid and ferric chloride using response surface methodology (RSM), artificial neural network …
Estimating petroleum exergy production and consumption using vehicle ownership and GDP based on genetic algorithm approach
This study deals with exergy estimation of petroleum using genetic algorithm (GA) approach.
The exergy estimation is carried out based on the gross domestic product (GDP) and the …
The exergy estimation is carried out based on the gross domestic product (GDP) and the …