Can spreadsheet solvers solve demanding optimization problems?

Detalhes bibliográficos
Autor(a) principal: Ferreira, Eugénio C.
Data de Publicação: 2001
Outros Autores: Salcedo, Romualdo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/136
Resumo: Practicing engineers resort to modular simulators or to algebraic tools such as GAMS or AMPL for performing complex process optimizations. These tools, however, have a significant learning curve unless they have been introduced at the undergraduate level beforehand. In this work we show how the Solver feature of the Excel spreadsheet can be used for the optimization of a fairly complex system, i.e., a classic solvent extraction/pollution prevention with heat integration process. The specific goal was the design optimization for continuous recovery of organic solvents (VOCs) using a gas absorption tower with solvent recovery in a stripper. It is shown that the Solver feature of the Excel spreadsheet can be used to converge on local optima for these complex systems, provided proper care is taken in the solution procedure. The complexities of optimization can also be demonstrated with this tool, as can several common pitfalls encountered during optimization.
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spelling Can spreadsheet solvers solve demanding optimization problems?OptimizationProcess synthesisSpreadsheetsScience & TechnologySocial SciencesPracticing engineers resort to modular simulators or to algebraic tools such as GAMS or AMPL for performing complex process optimizations. These tools, however, have a significant learning curve unless they have been introduced at the undergraduate level beforehand. In this work we show how the Solver feature of the Excel spreadsheet can be used for the optimization of a fairly complex system, i.e., a classic solvent extraction/pollution prevention with heat integration process. The specific goal was the design optimization for continuous recovery of organic solvents (VOCs) using a gas absorption tower with solvent recovery in a stripper. It is shown that the Solver feature of the Excel spreadsheet can be used to converge on local optima for these complex systems, provided proper care is taken in the solution procedure. The complexities of optimization can also be demonstrated with this tool, as can several common pitfalls encountered during optimization.John Wiley and SonsUniversidade do MinhoFerreira, Eugénio C.Salcedo, Romualdo20012001-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/136eng“Computer Applications in Engineering Education”. 9:1 (2001) 49-56.1061-377310.1002/cae.1005info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:30:22Zoai:repositorium.sdum.uminho.pt:1822/136Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:25:31.544256Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Can spreadsheet solvers solve demanding optimization problems?
title Can spreadsheet solvers solve demanding optimization problems?
spellingShingle Can spreadsheet solvers solve demanding optimization problems?
Ferreira, Eugénio C.
Optimization
Process synthesis
Spreadsheets
Science & Technology
Social Sciences
title_short Can spreadsheet solvers solve demanding optimization problems?
title_full Can spreadsheet solvers solve demanding optimization problems?
title_fullStr Can spreadsheet solvers solve demanding optimization problems?
title_full_unstemmed Can spreadsheet solvers solve demanding optimization problems?
title_sort Can spreadsheet solvers solve demanding optimization problems?
author Ferreira, Eugénio C.
author_facet Ferreira, Eugénio C.
Salcedo, Romualdo
author_role author
author2 Salcedo, Romualdo
author2_role author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Ferreira, Eugénio C.
Salcedo, Romualdo
dc.subject.por.fl_str_mv Optimization
Process synthesis
Spreadsheets
Science & Technology
Social Sciences
topic Optimization
Process synthesis
Spreadsheets
Science & Technology
Social Sciences
description Practicing engineers resort to modular simulators or to algebraic tools such as GAMS or AMPL for performing complex process optimizations. These tools, however, have a significant learning curve unless they have been introduced at the undergraduate level beforehand. In this work we show how the Solver feature of the Excel spreadsheet can be used for the optimization of a fairly complex system, i.e., a classic solvent extraction/pollution prevention with heat integration process. The specific goal was the design optimization for continuous recovery of organic solvents (VOCs) using a gas absorption tower with solvent recovery in a stripper. It is shown that the Solver feature of the Excel spreadsheet can be used to converge on local optima for these complex systems, provided proper care is taken in the solution procedure. The complexities of optimization can also be demonstrated with this tool, as can several common pitfalls encountered during optimization.
publishDate 2001
dc.date.none.fl_str_mv 2001
2001-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/136
url https://hdl.handle.net/1822/136
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv “Computer Applications in Engineering Education”. 9:1 (2001) 49-56.
1061-3773
10.1002/cae.1005
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv John Wiley and Sons
publisher.none.fl_str_mv John Wiley and Sons
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