Thermoelectric generation with reduced pollutants made possible by bio-inspired computing

Authors

DOI:

https://doi.org/10.33448/rsd-v11i1.24568

Keywords:

Power generation; Level of pollutants; Natural gas; Genetic Algorithm.

Abstract

The debate to establish a balance between the generation of electricity and the preservation of the environment is, extraordinarily, important. This article proposes, as a short-term solution, the replacement of diesel oil by natural gas in thermoelectric generation. Natural gas emits 75% less pollutants to the environment than diesel and has a similar energetic efficiency. As a strategy for this replacement to occur safely, the computational modeling was developed in a Bioinspired Computing methodology, called Genetic Algorithm (GA). The GA incorporated all the variables of the electricity and natural gas networks, presented in the mathematical modeling. The result was a significant reduction in the level of pollutants emitted, with high stability in the electrical power system.

Author Biography

Denis Carlos Lima Costa, Federal Institute of Education, Science and Technology of Pará

#Graduação em Licenciatura em Ciências/Habilitação Matemática 1992, pesquisa incrementada na área de Geometria Diferencial, baseada nas abordagens de Carl Friedrich Gauss.

#Especialização em Física 1998, com exploração na área de Mecânica Quântica, tendo como base as Teorias de Max Planck.

#Mestrado em Geofísica pela Universidade Federal do Pará 2003, investigação em Métodos Potenciais aplicados às Bacias Sedimentares utilizando as estratégias de Fourier e Laplace.

#Doutorado em Engenharia Elétrica na área de Sistemas de Potência pela Universidade Federal do Pará 2016, pesquisa desenvolvida com aplicações de Inteligência Artificial aplicada. Emprego de sistemas inteligentes à produção, transporte e geração de Energia Elétrica a partir do Gás Natural.

# Líder do Grupo de Pesquisa GRADIENTE DE MODELAGEM MATEMÁTICA E SIMULAÇÃO COMPUTACIONAL - GM²SC, vinculado ao Instituto Federal de Educação, Ciência e Tecnologia do Pará - IFPA Campus Ananindeua.

# Membro do Grupo de Pesquisa LINGUAGENS, CULTURAS, TECNOLOGIAS e INCLUSÃO - LICTI, vinculado ao Instituto Federal de Educação, Ciência e Tecnologia do Pará - IFPA Campus Castanhal, onde colabora com as linhas de Educação Matemática e Matemática Computacional.

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Published

02/01/2022

How to Cite

COSTA, D. C. L. .; MENESES, L. A. de; LIMA, M. L. V. de; COSTA, H. A. de O.; REIS, A. C. F.; PINHEIRO, H. F. B. .; COSTA, E. F. da .; SILVA, A. R. dos S. da .; REIS, A. C. F. .; RAIOL, F. M. .; SANTOS, R. C. P. dos . Thermoelectric generation with reduced pollutants made possible by bio-inspired computing . Research, Society and Development, [S. l.], v. 11, n. 1, p. e7611124568, 2022. DOI: 10.33448/rsd-v11i1.24568. Disponível em: https://www.rsdjournal.org/index.php/rsd/article/view/24568. Acesso em: 23 apr. 2024.

Issue

Vol. 11 No. 1

Section

Engineerings

License

Copyright (c) 2022 Denis Carlos Lima Costa; Lair Aguiar de Meneses; Mara Líbia Viana de Lima; Heictor Alves de Oliveira Costa; Adriane Cristina Fernandes Reis; Huan Ferreira Brasil Pinheiro; Erick Freitas da Costa; André Renan dos Santos da Silva; Ariane Cristina Fernandes Reis; Felippe Mathias Raiol; Roberto Carlos Pinheiro dos Santos

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