Efficiency and NOx emission optimization by genetic algorithm of a coal-fired steam generator modeled with artificial neural networks-Reference-Cited by-同舟云学术

Efficiency and NOx emission optimization by genetic algorithm of a coal-fired steam generator modeled with artificial neural networks

Published:2022-05 Issue:5 Volume:44 Page:
ISSN:1678-5878
Container-title:Journal of the Brazilian Society of Mechanical Sciences and Engineering
language:en
Short-container-title:J Braz. Soc. Mech. Sci. Eng.

Author:

da Rocha Bárbara Pacheco,de Assis Brasil Weber Natália,Smith Schneider Paulo,Hunt Julian David,Mairesse Siluk Júlio Cezar

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

EDP Portugal

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,General Engineering,Aerospace Engineering,Automotive Engineering,Industrial and Manufacturing Engineering,Applied Mathematics

Link

https://link.springer.com/content/pdf/10.1007/s40430-022-03481-3.pdf

Reference47 articles.

1. IEA, Coal—Global Energy Review 2021—Analysis - IEA (2021) https://www.iea.org/reports/global-energy-review-2021/coal (accessed January 2, 2022).

2. IEA, Coal 2021, Coal (2021) https://www.iea.org/fuels-and-technologies/coal (accessed February 1, 2021)

3. IEA, CO2 emissions—Global Energy Review 2021—Analysis - IEA, Glob. Energy Rev 2021 (2021) https://www.iea.org/reports/global-energy-review-2021/co2-emissions (accessed January 2, 2022)

4. Turns SR (2012) An introduction to combustion: concepts and applications, 3 ed., McGraw Hill Education

5. Criteria Air Pollutants | US EPA, (n.d.). https://www.epa.gov/criteria-air-pollutants (accessed January 17, 2020)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-parameter co-optimization for NOx emissions control from waste incinerators based on data-driven model and improved particle swarm optimization;Energy;2024-10