An overview of different approaches in hydrogen network optimization via mathematical programming

Detalhes bibliográficos
Autor(a) principal: Silva, Patrícia Rodrigues da
Data de Publicação: 2020
Outros Autores: Aragão, Marcelo Escobar, Trierweiler, Jorge Otávio, Trierweiler, Luciane Ferreira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/220957
Resumo: Goal: Hydrogen has shown increasing demand in oil refineries, due to the importance of its use as a sulfur capture element. As different oils and products require different amounts of hydrogen, their use optimally is an essential tool for refinery production scheduling. A comparison was made between the different approaches used in optimization via mathematical programming.Design / Methodology / Approach: One of the most used methods for hydrogen network optimization is through mathematical programming. Linear and non-linear models are discussed, positive aspects of each formulation and different initialization techniques for non-linear modeling were considered.Results: The optimization through the linear model was more satisfactory, taking into account the payback of the new proposed design, combined with the use of compressor rearrangement, which reduces the investment cost.Limitations of the investigation: The objective function chosen is based on the operational cost, but another approach to be considered would be the total annual cost. In addition, the parameters related to costs are obtained from the literature and may change over the years.Practical implications: The proposal is to discuss the main aspects of each model, showing which models more robust and easier to converge are capable of providing competitive results. Also, different initialization techniques that can be used in future works.Originality / Value: The main contribution is the relationship between hydrogen management and production scheduling and for that, a discussion is made about possible formulations. Linear model is sufficient to optimize the problem, due to its main characteristics discussed.
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spelling Silva, Patrícia Rodrigues daAragão, Marcelo EscobarTrierweiler, Jorge OtávioTrierweiler, Luciane Ferreira2021-05-14T04:25:33Z20202237-8960http://hdl.handle.net/10183/220957001123227Goal: Hydrogen has shown increasing demand in oil refineries, due to the importance of its use as a sulfur capture element. As different oils and products require different amounts of hydrogen, their use optimally is an essential tool for refinery production scheduling. A comparison was made between the different approaches used in optimization via mathematical programming.Design / Methodology / Approach: One of the most used methods for hydrogen network optimization is through mathematical programming. Linear and non-linear models are discussed, positive aspects of each formulation and different initialization techniques for non-linear modeling were considered.Results: The optimization through the linear model was more satisfactory, taking into account the payback of the new proposed design, combined with the use of compressor rearrangement, which reduces the investment cost.Limitations of the investigation: The objective function chosen is based on the operational cost, but another approach to be considered would be the total annual cost. In addition, the parameters related to costs are obtained from the literature and may change over the years.Practical implications: The proposal is to discuss the main aspects of each model, showing which models more robust and easier to converge are capable of providing competitive results. Also, different initialization techniques that can be used in future works.Originality / Value: The main contribution is the relationship between hydrogen management and production scheduling and for that, a discussion is made about possible formulations. Linear model is sufficient to optimize the problem, due to its main characteristics discussed.application/pdfengBrazilian Journal of Operations & Production Management [recurso eletrônico]. Rio de Janeiro, RJ. Vol. 17, n. 3, special issue (Sept. 2020), [Article] e2020990, 20p.Produção de hidrogênioOtimização de processosProgramação matemáticaHydrogen managementHydrogen networkMathematical programmingOptimizationProduction planningAn overview of different approaches in hydrogen network optimization via mathematical programminginfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001123227.pdf.txt001123227.pdf.txtExtracted Texttext/plain60949http://www.lume.ufrgs.br/bitstream/10183/220957/2/001123227.pdf.txt1cc967594f17d422f0cc6a12f2c7d164MD52ORIGINAL001123227.pdfTexto completo (inglês)application/pdf886080http://www.lume.ufrgs.br/bitstream/10183/220957/1/001123227.pdf597c7362726914e2dee799760b136620MD5110183/2209572022-02-22 05:07:01.454221oai:www.lume.ufrgs.br:10183/220957Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2022-02-22T08:07:01Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv An overview of different approaches in hydrogen network optimization via mathematical programming
title An overview of different approaches in hydrogen network optimization via mathematical programming
spellingShingle An overview of different approaches in hydrogen network optimization via mathematical programming
Silva, Patrícia Rodrigues da
Produção de hidrogênio
Otimização de processos
Programação matemática
Hydrogen management
Hydrogen network
Mathematical programming
Optimization
Production planning
title_short An overview of different approaches in hydrogen network optimization via mathematical programming
title_full An overview of different approaches in hydrogen network optimization via mathematical programming
title_fullStr An overview of different approaches in hydrogen network optimization via mathematical programming
title_full_unstemmed An overview of different approaches in hydrogen network optimization via mathematical programming
title_sort An overview of different approaches in hydrogen network optimization via mathematical programming
author Silva, Patrícia Rodrigues da
author_facet Silva, Patrícia Rodrigues da
Aragão, Marcelo Escobar
Trierweiler, Jorge Otávio
Trierweiler, Luciane Ferreira
author_role author
author2 Aragão, Marcelo Escobar
Trierweiler, Jorge Otávio
Trierweiler, Luciane Ferreira
author2_role author
author
author
dc.contributor.author.fl_str_mv Silva, Patrícia Rodrigues da
Aragão, Marcelo Escobar
Trierweiler, Jorge Otávio
Trierweiler, Luciane Ferreira
dc.subject.por.fl_str_mv Produção de hidrogênio
Otimização de processos
Programação matemática
topic Produção de hidrogênio
Otimização de processos
Programação matemática
Hydrogen management
Hydrogen network
Mathematical programming
Optimization
Production planning
dc.subject.eng.fl_str_mv Hydrogen management
Hydrogen network
Mathematical programming
Optimization
Production planning
description Goal: Hydrogen has shown increasing demand in oil refineries, due to the importance of its use as a sulfur capture element. As different oils and products require different amounts of hydrogen, their use optimally is an essential tool for refinery production scheduling. A comparison was made between the different approaches used in optimization via mathematical programming.Design / Methodology / Approach: One of the most used methods for hydrogen network optimization is through mathematical programming. Linear and non-linear models are discussed, positive aspects of each formulation and different initialization techniques for non-linear modeling were considered.Results: The optimization through the linear model was more satisfactory, taking into account the payback of the new proposed design, combined with the use of compressor rearrangement, which reduces the investment cost.Limitations of the investigation: The objective function chosen is based on the operational cost, but another approach to be considered would be the total annual cost. In addition, the parameters related to costs are obtained from the literature and may change over the years.Practical implications: The proposal is to discuss the main aspects of each model, showing which models more robust and easier to converge are capable of providing competitive results. Also, different initialization techniques that can be used in future works.Originality / Value: The main contribution is the relationship between hydrogen management and production scheduling and for that, a discussion is made about possible formulations. Linear model is sufficient to optimize the problem, due to its main characteristics discussed.
publishDate 2020
dc.date.issued.fl_str_mv 2020
dc.date.accessioned.fl_str_mv 2021-05-14T04:25:33Z
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dc.relation.ispartof.pt_BR.fl_str_mv Brazilian Journal of Operations & Production Management [recurso eletrônico]. Rio de Janeiro, RJ. Vol. 17, n. 3, special issue (Sept. 2020), [Article] e2020990, 20p.
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