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dc.creatorCasi Satrústegui, Álvaroes_ES
dc.creatorAraiz Vega, Migueles_ES
dc.creatorCatalán Ros, Leyrees_ES
dc.creatorAstrain Ulibarrena, Davides_ES
dc.date.accessioned2021-09-03T08:46:03Z
dc.date.available2023-02-05T00:00:13Z
dc.date.issued2021
dc.identifier.issn1359-4311
dc.identifier.urihttps://hdl.handle.net/2454/40401
dc.description.abstractThermoelectricity, in the form of thermoelectric generators, holds a great potential in waste heat recovery, this potential has been studied and proved in several laboratory and theoretical works. By the means of a thermoelectric generator, part of the energy that normally is wasted in a manufacturing process, can be transformed into electricity, however, implementing this technology in real industries still remains a challenge and on-site tests need to be performed in order to prove the real capabilities of this technology. In this work, a computational model to simulate the behaviour of a thermoelectric generator that harvest waste heat from hot fumes is developed. Using the computational model an optimal configuration for a thermoelectric generator is obtained, also an experimental study of the performance of different heat pipes working as cold side heat exchangers is carried out in order to optimize the performance of the whole thermoelectric generator, thermal resistances of under 0,25 K/W are obtained. The optimized configuration of the thermoelectric generator has been built, installed and tested under real conditions at a rockwool manufacturing plant and experimental data has been obtained during the 30 days field test period. Results show that 4.6 W of average electrical power are produced during the testing period with an efficiency of 2.38%. Moreover, the computational model is validated using this experimental data. Furthermore, the full harvesting potential of an optimized designed that takes advantage of the whole pipe is calculated using the validated computational model, resulting in 30.8 MWh of energy harvested during a sample year which could meet the demand of 8.34 Spanish average households.en
dc.description.sponsorshipThe authors are indebted to the Navarra Government for economic support of this work, included in the 0011-1365-2018-000101 Research Project, also to the State Research Agency of Spain for economic support, included in the RTI2018-093501-B-C22 Project from the Research Challenges Program. We would also like to acknowledge the support from the FPU Program of the Spanish Ministry of Science, Innovation and Universities (FPU16/05203).en
dc.format.extent16 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofApplied Thermal Engineering, 184 (2021) 116275en
dc.rights© 2020 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectComputational modelen
dc.subjectOn-site experimentationen
dc.subjectPassive heat-exchangersen
dc.subjectThermoelectric generatoren
dc.subjectWaste-heaten
dc.titleThermoelectric heat recovery in a real industry: from laboratory optimization to realityen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeArtículo / Artikuluaes
dc.contributor.departmentIngeniaritzaeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentIngenieríaes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.embargo.terms2023-02-05
dc.identifier.doi10.1016/j.applthermaleng.2020.116275
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093501-B-C22/ES/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/MECD//FPU16%2F05203/ES/en
dc.relation.publisherversionhttps://doi.org/10.1016/j.applthermaleng.2020.116275
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.type.versionVersión aceptada / Onetsi den bertsioaes
dc.contributor.funderGobierno de Navarra / Nafarroako Gobernua, 0011-1365-2018-000101es


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© 2020 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0
La licencia del ítem se describe como © 2020 Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0

El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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