Experimental thermal performance and modelling of a waste heat recovery unit in an energy cogeneration system

In this paper, the performance of a gas/oil heat recovery unit is assessed experimentally and by the development of an Aspen model and artificial neural networks. The heat recovery unit is a cross-flow heat exchanger used to recover the residual heat of the exhaust gases coming from a microturbine t...

Full description

Autores:
Amaris, Carlos
Miranda, Bárbara
BALBIS MOREJON, MILEN
Tipo de recurso:
http://purl.org/coar/resource_type/c_816b
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/7308
Acceso en línea:
https://hdl.handle.net/11323/7308
https://doi.org/10.1016/j.tsep.2020.100684
https://repositorio.cuc.edu.co/
Palabra clave:
Cooling and power
Energy cogeneration
Exhaust gasesHeat exchanger
Heat recovery
Thermal oil
Rights
openAccess
License
CC0 1.0 Universal
id RCUC2_b806c00156eac2df44b03077a66248e7
oai_identifier_str oai:repositorio.cuc.edu.co:11323/7308
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv Experimental thermal performance and modelling of a waste heat recovery unit in an energy cogeneration system
title Experimental thermal performance and modelling of a waste heat recovery unit in an energy cogeneration system
spellingShingle Experimental thermal performance and modelling of a waste heat recovery unit in an energy cogeneration system
Cooling and power
Energy cogeneration
Exhaust gasesHeat exchanger
Heat recovery
Thermal oil
title_short Experimental thermal performance and modelling of a waste heat recovery unit in an energy cogeneration system
title_full Experimental thermal performance and modelling of a waste heat recovery unit in an energy cogeneration system
title_fullStr Experimental thermal performance and modelling of a waste heat recovery unit in an energy cogeneration system
title_full_unstemmed Experimental thermal performance and modelling of a waste heat recovery unit in an energy cogeneration system
title_sort Experimental thermal performance and modelling of a waste heat recovery unit in an energy cogeneration system
dc.creator.fl_str_mv Amaris, Carlos
Miranda, Bárbara
BALBIS MOREJON, MILEN
dc.contributor.author.spa.fl_str_mv Amaris, Carlos
Miranda, Bárbara
BALBIS MOREJON, MILEN
dc.subject.spa.fl_str_mv Cooling and power
Energy cogeneration
Exhaust gasesHeat exchanger
Heat recovery
Thermal oil
topic Cooling and power
Energy cogeneration
Exhaust gasesHeat exchanger
Heat recovery
Thermal oil
description In this paper, the performance of a gas/oil heat recovery unit is assessed experimentally and by the development of an Aspen model and artificial neural networks. The heat recovery unit is a cross-flow heat exchanger used to recover the residual heat of the exhaust gases coming from a microturbine to drive an absorption chiller. The test facility consists mainly of a microturbine, a heat recovery unit, and an air-cooled absorption chiller. The experiments were conducted at partial power loads and different thermal oil mass flows. Regarding the models, the Aspen model depends on inlet conditions, the mechanical description of the heat recovery unit, and the fluids thermophysical properties, whereas the ANN model consists of 3 trained artificial neurons, 4 inputs (inlet flows and temperatures), and 2 outputs (thermal load and overall heat transfer coefficient). The experimental tests show that the recovery unit recovers from 18.8 kW to 8.1 kW when the microturbine power output is varied from 23 kWe to 4 kWe. Results also show that the overall heat transfer coefficient ranges between 243 W.m−2.K−1 and 89 W.m−2.K−1, while they evidence that the overall heat transfer resistance is controlled by the exhaust gases heat transfer resistance. Furthermore, simulation results show that the Aspen model predicts the heat recovery unit thermal load and overall heat transfer coefficient with average relative differences of 0.93% and 11.27%, respectively, to the experiments. The ANN model evidences average relative differences of 0.51% and 3.48% for the thermal load and overall heat transfer coefficient, respectively.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-11-13T19:53:02Z
dc.date.available.none.fl_str_mv 2020-11-13T19:53:02Z
dc.date.issued.none.fl_str_mv 2020-11-01
dc.type.spa.fl_str_mv Pre-Publicación
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_816b
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/preprint
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dc.identifier.issn.spa.fl_str_mv 2451-9049
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/7308
dc.identifier.doi.spa.fl_str_mv https://doi.org/10.1016/j.tsep.2020.100684
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv 2451-9049
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/7308
https://doi.org/10.1016/j.tsep.2020.100684
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.rights.spa.fl_str_mv CC0 1.0 Universal
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/publicdomain/zero/1.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
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rights_invalid_str_mv CC0 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0/
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eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Corporación Universidad de la Costa
dc.source.spa.fl_str_mv Thermal Science and Engineering Progress
institution Corporación Universidad de la Costa
dc.source.url.spa.fl_str_mv https://www.sciencedirect.com/science/article/abs/pii/S2451904920302043
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spelling Amaris, Carlos2d666509cafda55db0520d6ba6a8cfccMiranda, Bárbara47a086c55e35964eaf7378118d05af8eBALBIS MOREJON, MILEN9af34d15420de75b64ff4f3966cafc9d2020-11-13T19:53:02Z2020-11-13T19:53:02Z2020-11-012451-9049https://hdl.handle.net/11323/7308https://doi.org/10.1016/j.tsep.2020.100684Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/In this paper, the performance of a gas/oil heat recovery unit is assessed experimentally and by the development of an Aspen model and artificial neural networks. The heat recovery unit is a cross-flow heat exchanger used to recover the residual heat of the exhaust gases coming from a microturbine to drive an absorption chiller. The test facility consists mainly of a microturbine, a heat recovery unit, and an air-cooled absorption chiller. The experiments were conducted at partial power loads and different thermal oil mass flows. Regarding the models, the Aspen model depends on inlet conditions, the mechanical description of the heat recovery unit, and the fluids thermophysical properties, whereas the ANN model consists of 3 trained artificial neurons, 4 inputs (inlet flows and temperatures), and 2 outputs (thermal load and overall heat transfer coefficient). The experimental tests show that the recovery unit recovers from 18.8 kW to 8.1 kW when the microturbine power output is varied from 23 kWe to 4 kWe. Results also show that the overall heat transfer coefficient ranges between 243 W.m−2.K−1 and 89 W.m−2.K−1, while they evidence that the overall heat transfer resistance is controlled by the exhaust gases heat transfer resistance. Furthermore, simulation results show that the Aspen model predicts the heat recovery unit thermal load and overall heat transfer coefficient with average relative differences of 0.93% and 11.27%, respectively, to the experiments. 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