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 …

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 …

[HTML][HTML] An ultrasound-assisted system for the optimization of biodiesel production from chicken fat oil using a genetic algorithm and response surface methodology

E Fayyazi, B Ghobadian, G Najafi… - Ultrasonics …, 2015 - Elsevier
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 …

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 …

ANN-GA based optimization of a high ash coal-fired supercritical power plant

M Suresh, KS Reddy, AK Kolar - Applied Energy, 2011 - Elsevier
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 …

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 …

Genetic algorithm approach to optimize biodiesel production by ultrasonic system

E Fayyazi, B Ghobadian, G Najafi… - Chemical Product and …, 2014 - degruyter.com
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 …

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 …

[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 …

Estimating petroleum exergy production and consumption using vehicle ownership and GDP based on genetic algorithm approach

HK Ozturk, H Ceylan, A Hepbasli, Z Utlu - Renewable and Sustainable …, 2004 - Elsevier
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 …