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A comparative energy and exergy optimization of a supercritical-CO2 Brayton cycle and Organic Rankine Cycle combined system using swarm intelligence algorithms

dc.contributor.authorValencia, Guillermo
dc.contributor.authorDuarte Forero, Jorge
dc.contributor.authorRojas Suárez, Jhan Piero
dc.date.accessioned2021-12-10T19:14:59Z
dc.date.available2021-12-10T19:14:59Z
dc.date.issued2020-06
dc.identifier.urihttp://repositorio.ufps.edu.co/handle/ufps/4883
dc.description.abstract) using the PSO algorithm. A thermodynamic model of the integrated system was developed from the application of mass, energy and exergy balances to each component, which allowed the calculation of the exergy destroyed a fraction of each equipment, the power generated, the thermal and exergetic efficiency of the system. In addition, through a sensitivity analysis, the effect of the main operational and design variables on thermal efficiency and total exergy destroyed was studied, which were the objective functions selected in the proposed optimization. The results show that the greatest exergy destruction occurs at the thermal source, with a value of 97 kW for the system without Reheater (NRH), but this is reduced by 92.28% for the system with Reheater (RH). In addition, by optimizing the integrated cycle for a particle number of 25, the maximum thermal efficiency of 55.53% (NRH) was achieved, and 56.95% in the RH system. Likewise, for a particle number of 15 and 20 in the PSO algorithm, exergy destruction was minimized to 60.72 kW (NRH) and 112.06 kW (RH), respectively. Comparative analyses of some swarm intelligence optimization algorithms were conducted for the integrated S-CO2-SORC system, evaluating performance indicators, where the PSO optimization algorithm was favorable in the analyses, guaranteeing that it is the ideal algorithm to solve this case study.eng
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherHeliyonspa
dc.relation.ispartofHeliyon
dc.rightsUnder a Creative Commons licenseeng
dc.sourcehttps://www.cell.com/heliyon/fulltext/S2405-8440(20)30980-4?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS2405844020309804%3Fshowall%3Dtrue#relatedArticlesspa
dc.titleA comparative energy and exergy optimization of a supercritical-CO2 Brayton cycle and Organic Rankine Cycle combined system using swarm intelligence algorithmseng
dc.typeArtículo de revistaspa
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dc.identifier.doihttps://doi.org/10.1016/j.heliyon.2020.e04136
dc.publisher.placeAmsterdam , Paises Bajosspa
dc.relation.citationeditionVol.6 No.6.(2020)spa
dc.relation.citationendpage39spa
dc.relation.citationissue6 (2020)spa
dc.relation.citationstartpage1spa
dc.relation.citationvolume6spa
dc.relation.citesOchoa, G. V., Forero, J. D., & Rojas, J. P. (2020). A comparative energy and exergy optimization of a supercritical-CO2 Brayton cycle and Organic Rankine Cycle combined system using swarm intelligence algorithms. Heliyon, 6(6), e04136.
dc.relation.ispartofjournalHeliyonspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.creativecommonsAtribución 4.0 Internacional (CC BY 4.0)spa
dc.subject.proposalEnergyeng
dc.subject.proposalMechanical engineeringeng
dc.subject.proposalThermodynamicseng
dc.subject.proposalMathematical optimizationeng
dc.subject.proposalEnergy conservationeng
dc.subject.proposalSwarm intelligence algorithmseng
dc.subject.proposalBrayton supercritical CO2 cycleeng
dc.subject.proposalOrganic Rankine cycleeng
dc.subject.proposalExergetic analysiseng
dc.subject.proposalEnergy analysiseng
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.type.versioninfo:eu-repo/semantics/publishedVersionspa


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