Fuzzy multi-objective optimization of the energy transition towards renewable energies with a mixed methodology
Abstract Paper aims the combination of the quality indices, a novel model called “Dynamic Growth Allocation Model (DGAM)”, Fuzzy Decision Making Theory (FDM), Analytical Hierarchy Process (AHP) and the Evolutive Particle Swarm Optimization (EPSO) is proposed. Originality the multi-objective optimi...
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Associação Brasileira de Engenharia de Produção (ABEPRO)
2022-05-01
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| Series: | Production |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132022000100213&tlng=en |
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| author | Federico Gabriel Camargo |
| author_facet | Federico Gabriel Camargo |
| author_sort | Federico Gabriel Camargo |
| collection | DOAJ |
| description | Abstract Paper aims the combination of the quality indices, a novel model called “Dynamic Growth Allocation Model (DGAM)”, Fuzzy Decision Making Theory (FDM), Analytical Hierarchy Process (AHP) and the Evolutive Particle Swarm Optimization (EPSO) is proposed. Originality the multi-objective optimization (with uncertainty) of the Argentine energy transition is not sufficiently studied. This combined methodology in this problem was not published and it had good, relatively easy and fast results. Research method the optimization indices (EROI, CO2, IC and RP), the methodology used (DGAM, FDM, AHP and EPSO) and its results are analyzed. Main findings (i) the nuclear energy allowed the renewable transition; (ii) the fossil dismantling and the investment in biomass and wind are needed; (iii) the EROI depends on the good load factor, useful life and performance. Implications for theory and practice It is sought a minimum Renewable Participation (RP) of 20% of Argentina with a sustainable energy matrix. |
| format | Article |
| id | doaj-art-3ad2dba0e7cb4c5ca81dcdd66f9ca798 |
| institution | OA Journals |
| issn | 1980-5411 |
| language | English |
| publishDate | 2022-05-01 |
| publisher | Associação Brasileira de Engenharia de Produção (ABEPRO) |
| record_format | Article |
| series | Production |
| spelling | doaj-art-3ad2dba0e7cb4c5ca81dcdd66f9ca7982025-08-20T02:08:02ZengAssociação Brasileira de Engenharia de Produção (ABEPRO)Production1980-54112022-05-013210.1590/0103-6513.20210132Fuzzy multi-objective optimization of the energy transition towards renewable energies with a mixed methodologyFederico Gabriel Camargohttps://orcid.org/0000-0002-8685-1900Abstract Paper aims the combination of the quality indices, a novel model called “Dynamic Growth Allocation Model (DGAM)”, Fuzzy Decision Making Theory (FDM), Analytical Hierarchy Process (AHP) and the Evolutive Particle Swarm Optimization (EPSO) is proposed. Originality the multi-objective optimization (with uncertainty) of the Argentine energy transition is not sufficiently studied. This combined methodology in this problem was not published and it had good, relatively easy and fast results. Research method the optimization indices (EROI, CO2, IC and RP), the methodology used (DGAM, FDM, AHP and EPSO) and its results are analyzed. Main findings (i) the nuclear energy allowed the renewable transition; (ii) the fossil dismantling and the investment in biomass and wind are needed; (iii) the EROI depends on the good load factor, useful life and performance. Implications for theory and practice It is sought a minimum Renewable Participation (RP) of 20% of Argentina with a sustainable energy matrix.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132022000100213&tlng=enMultiobjective Optimization with Energy ScenariosEnergy Return Returned On Investment (EROI)Investment Cost and EmissionsFuzzy Decision Making TheoryEvolutive Particle Swarm Optimization (EPSO) |
| spellingShingle | Federico Gabriel Camargo Fuzzy multi-objective optimization of the energy transition towards renewable energies with a mixed methodology Production Multiobjective Optimization with Energy Scenarios Energy Return Returned On Investment (EROI) Investment Cost and Emissions Fuzzy Decision Making Theory Evolutive Particle Swarm Optimization (EPSO) |
| title | Fuzzy multi-objective optimization of the energy transition towards renewable energies with a mixed methodology |
| title_full | Fuzzy multi-objective optimization of the energy transition towards renewable energies with a mixed methodology |
| title_fullStr | Fuzzy multi-objective optimization of the energy transition towards renewable energies with a mixed methodology |
| title_full_unstemmed | Fuzzy multi-objective optimization of the energy transition towards renewable energies with a mixed methodology |
| title_short | Fuzzy multi-objective optimization of the energy transition towards renewable energies with a mixed methodology |
| title_sort | fuzzy multi objective optimization of the energy transition towards renewable energies with a mixed methodology |
| topic | Multiobjective Optimization with Energy Scenarios Energy Return Returned On Investment (EROI) Investment Cost and Emissions Fuzzy Decision Making Theory Evolutive Particle Swarm Optimization (EPSO) |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132022000100213&tlng=en |
| work_keys_str_mv | AT federicogabrielcamargo fuzzymultiobjectiveoptimizationoftheenergytransitiontowardsrenewableenergieswithamixedmethodology |