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.

References

Brasil (2021). Ministério de Minas e Energia, Empresa de Pesquisa Energética Plano Decenal de Expansão de Energia 2029 / Ministério de Minas e Energia. Empresa de Pesquisa Energética. MME/EPE. https://www.epe.gov.br/pt/publicacoes-dados-abertos/publicacoes/plano-decenal-de-expansao-de-energia-2029.

Carvalho, A. P. L. (2018). Algoritmo Genético. USP. Departamento da Ciência da Computação. https://sites.icmc.usp.br/andre/research/genetic/.

Carvalho, R., Hittinger, E., & Williams, E. (2021). Payback of natural gas turbines: A retrospective analysis with implications for decarbonizing grids. Utilities Policy, Elsevier, 73. https://doi.org/10.1016/j.jup.2021.101307.

Costa, D. C. L., Nunes, M. V., Vieira, J. P., & Bezerra, U. H. (2016a). Decision tree-based security dispatch application in integrated electric power and natural-gas networks. Electric Power Systems Research, 141, 442-449.

Costa, D. C. L. (2016b). Despacho Ótimo de Redes Integradas de Energia Elétrica e de Gás Natural com Restrições de Segurança via Árvores de Decisão. Tese (Doutorado) - Universidade Federal do Pará – UFPA, Instituto de Tecnologia – ITEC, Programa de Pós-Graduação em Engenharia Elétrica - PPGEE.

Costa, D. C. L., Costa, H. A. de O., Castro, A. P. S., Cruz, E. C., Neto, J. L. A., & Cruz, B. C. C. da. (2020). As dimensões das Modelagens Matemática e Computacional prescrevidas à Gestão Ambiental. Research, Society and Development, 9(10), e6939109013-e6939109013. 10.33448/rsd-v9i10.9013.

Costa, H. A. de O., Costa, D. C. L., & Meneses, L. A. de. (2021a). Interdisciplinarity Applied to the Optimized Dispatch of Integrated Electricity and Natural Gas Networks using the Genetic Algorithm. Research, Society and Development, 10(2), e42110212641. 10.33448/rsd-v10i2.12641.

Costa, H. A. de O., Gomes, L. L., & Costa, D. C. L. (2021b). Genetic algorithm and particle swarm applied in electric system optimization. Research, Society and Development, 10(10), e166101018871. https://doi.org/10.33448/rsd-v10i10.18871.

Costa, H. A. de O., Gomes, L. L., Costa, D. C. L., Rocha, E. M., Francês, C. R., & Andrade, S. H. (2021c). Fractional order differential calculus applied on decision making system to smart grid management via decision trees. Research, Society and Development, 10(16), e38101623387. https://doi.org/10.33448/rsd-v10i16.23387.

EPE (2021). Empresa de Pesquisa Energética. https://www.epe.gov.br/pt/abcdenergia/matriz-energetica-e-eletrica.

Goldeberg, D. (1989). Genetic algorithms in search, optimization, and machine learning. Addison -Wesley Professional. 423 - 445.

Holland, J. H. (1975). Adaptation in natural and artificial systems. The University of Michigan Press, Ann Arbor, MI.

Mathworks. (2021). MATLAB: The Language of Technical Computing. https://www.mathworks.com/help/matlab/index.html?s_tid=CRUX_lftnav.

Michalewicz, Z. (1996). Genetic Algorithms + Data Structure = Evolution Programs. (3rd ed.), Spring, 387 - 405.

Mitchell, M. (1997). An introduction to genetic algorithms. Cambridge: Mit Press.

Mouette, D., Machado, P. G., Fraga, D., Peyerl, D., Borges, R. R., Brito, T. L. F., Shimomaebara, L. A., & Santos, E. M. dos. (2019). Costs and emissions assessment of a Blue Corridor in a Brazilian reality: The use of liquefied natural gas in the transport sector. Science of The Total Environment, 668(10), 1104-1116.

Pereira, A. S., Shitsuka, D. M., Parreira, F. J. & Shitsuka, R. (2018). Metodologia da pesquisa científica. Núcleo de Tecnologia Educacional – UFSM.

Santos, E. M. dos. (2002). Gás Natural: Estratégias para uma Energia Nova no Brasil. Annablume.

Unece (2021). United Nations Economic Commission for Europe - Extractive Industries Transition to Sustainable Systems. https://unece.org/sites/default/files/2021-05/Extractive%20Industries%20Regional%20PB_Final.pdf.

Wolf, D. D. (2003). Mathematical properties of formulations of the gas transmission problem. Management Science, 46 (11), 1454-1465.

Downloads

Published

2022-01-02

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

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish with this journal agree to the following terms:

1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.

How to Cite

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://rsdjournal.org/rsd/article/view/24568. Acesso em: 7 aug. 2025.