Numerical Analysis of Heat and Mass Transfer in Emerging Technologies of Cooling Systems

dc.audience.educationlevelInvestigadores/Researcherses_MX
dc.contributor.advisorRivera Solorio, Carlos Iván
dc.contributor.authorMitz Hernández, Enrique
dc.contributor.catalogerilquio, emipsanchezes_MX
dc.contributor.committeememberHuertas Cardozo, José Ignacio
dc.contributor.departmentSchool of Engineering and Scienceses_MX
dc.contributor.institutionCampus Monterreyes_MX
dc.contributor.mentorGijón Rivera, Miguel Angel
dc.creatorMITZ HERNANDEZ, ENRIQUE; 881783
dc.date.accessioned2021-09-25T00:39:59Z
dc.date.available2021-09-25T00:39:59Z
dc.date.created2020-06-15
dc.date.issued2020-06-15
dc.descriptionhttp://orcid.org/0000-0002-7594-2612es_MX
dc.description.abstractWe numerically analyze two distinct technologies for air cooling systems: (1) Dew-Point Evaporative Cooling (DPEC) Systems, and (2) Nanofluids in Helical Coils Heat Exchangers (HCHE). For the first technology, we developed a 1D model with thermophysical properties dependent on the temperature, humidity ratio and atmospheric pressure. The model was evaluated under different conditions in a parametric analysis. Then, a regression maintaining the same atmospheric pressure and channel length was found for the DPEC model. The regression shows a good fit with modeled data, having a RMSE of 1.4 and R2adj of 93%. Also, the model was evaluated in 4 climates (Very arid, arid, warm, and mild). On the other hand, the Nanofluids in HCHE model was implemented in the commercial software Fluent. The optimal mesh consists of 3.529 Million of elements using a structured mesh. The model implemented was set in a turbulent regime, with thermophysical properties dependent on temperature and constant wall temperature and uniforms inlet velocity and temperature. The thermophysical properties for the nanofluids were set from thermophysical properties dependent on the temperature of the base fluid and constant thermophysical properties of the nanoparticle. Then, a case analysis varying the geometry, Dean number, nanofluid (base fluid and nanoparticle) and nanoparticle volume concentration was developed. Finally, from the data modeled we found a correlation for Nusselt number of the Water / Alumina nanofluid.es_MX
dc.description.degreeMaster of Science in Energetic Engineeringes_MX
dc.format.mediumTextoes_MX
dc.identificator7||33||3328es_MX
dc.identifier.citationMitz Hernández, E. (2020). Numerical analysis of heat and mass transfer in emerging technologies of cooling systems (Tesis de Maestría). Instituto Tecnológico y de Estudios Superiores de Monterrey. Recuperado de: https://hdl.handle.net/11285/639376es_MX
dc.identifier.cvu881783es_MX
dc.identifier.orcidhttps://orcid.org/0000-0002-7501-535Xes_MX
dc.identifier.urihttps://hdl.handle.net/11285/639376
dc.language.isoenges_MX
dc.publisherInstituto Tecnológico y de Estudios Superiores de Monterreyes_MX
dc.relationCONACYTes_MX
dc.relationConsorcio E3es_MX
dc.relation.impreso2020-06-15
dc.relation.isFormatOfversión publicadaes_MX
dc.relation.isreferencedbyREPOSITORIO NACIONAL CONACYT
dc.rightsopenAccesses_MX
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0es_MX
dc.subject.classificationINGENIERÍA Y TECNOLOGÍA::CIENCIAS TECNOLÓGICAS::PROCESOS TECNOLÓGICOSes_MX
dc.subject.keywordHelical coiles_MX
dc.subject.keywordHeat exchangerses_MX
dc.subject.keywordNanofluidses_MX
dc.subject.keywordEvaporative Coolinges_MX
dc.subject.keywordDew-Point Evaporative Coolinges_MX
dc.subject.keywordCorrelationes_MX
dc.subject.lcshTechnologyes_MX
dc.titleNumerical Analysis of Heat and Mass Transfer in Emerging Technologies of Cooling Systemses_MX
dc.typeTesis de maestría

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