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Study on dynamic thermal characteristics of thermoelectric radiant cooling panel system through a hybrid method
Thermoelectric radiant panel system (TERP), requires no hydronic pipes, pumps and chillers and the size is compact in solid form. In this study, the main results include a new system model of TERP and some new findings on the system dynamic characteristics. The new model integrates finite difference...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382933/ https://www.ncbi.nlm.nih.gov/pubmed/32834424 http://dx.doi.org/10.1016/j.energy.2020.118413 |
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author | Luo, Yongqiang Yan, Tian Zhang, Nan |
author_facet | Luo, Yongqiang Yan, Tian Zhang, Nan |
author_sort | Luo, Yongqiang |
collection | PubMed |
description | Thermoelectric radiant panel system (TERP), requires no hydronic pipes, pumps and chillers and the size is compact in solid form. In this study, the main results include a new system model of TERP and some new findings on the system dynamic characteristics. The new model integrates finite difference method and state-space matrix, which is an integration of great simulation accuracy, high speed, and easy implementation. The thermal response time (TRT) and its asynchronism are confirmed and a new concept of AM (Asynchronism Magnitude) is defined to measure the degree of TRT asynchronism. Some new observations are obtained: (1) Under a certain environment, AM becomes a constant even when different step changes of current are imposed; (2) The TRT asynchronism disappeared at the second stage when environmental condition is step changed. Three new definitions of TRT are proposed and compared. Finally, in order to realize the fast and accurate prediction of TRT for the use of system on-line control or fast evaluation under dynamic state, an artificial neural network-based model is proved to be effective. The dynamic analysis can offer a new paradigm to the evaluation, control and optimization of radiant cooling and other dynamic systems. |
format | Online Article Text |
id | pubmed-7382933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73829332020-07-28 Study on dynamic thermal characteristics of thermoelectric radiant cooling panel system through a hybrid method Luo, Yongqiang Yan, Tian Zhang, Nan Energy (Oxf) Article Thermoelectric radiant panel system (TERP), requires no hydronic pipes, pumps and chillers and the size is compact in solid form. In this study, the main results include a new system model of TERP and some new findings on the system dynamic characteristics. The new model integrates finite difference method and state-space matrix, which is an integration of great simulation accuracy, high speed, and easy implementation. The thermal response time (TRT) and its asynchronism are confirmed and a new concept of AM (Asynchronism Magnitude) is defined to measure the degree of TRT asynchronism. Some new observations are obtained: (1) Under a certain environment, AM becomes a constant even when different step changes of current are imposed; (2) The TRT asynchronism disappeared at the second stage when environmental condition is step changed. Three new definitions of TRT are proposed and compared. Finally, in order to realize the fast and accurate prediction of TRT for the use of system on-line control or fast evaluation under dynamic state, an artificial neural network-based model is proved to be effective. The dynamic analysis can offer a new paradigm to the evaluation, control and optimization of radiant cooling and other dynamic systems. Elsevier Ltd. 2020-10-01 2020-07-26 /pmc/articles/PMC7382933/ /pubmed/32834424 http://dx.doi.org/10.1016/j.energy.2020.118413 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Luo, Yongqiang Yan, Tian Zhang, Nan Study on dynamic thermal characteristics of thermoelectric radiant cooling panel system through a hybrid method |
title | Study on dynamic thermal characteristics of thermoelectric radiant cooling panel system through a hybrid method |
title_full | Study on dynamic thermal characteristics of thermoelectric radiant cooling panel system through a hybrid method |
title_fullStr | Study on dynamic thermal characteristics of thermoelectric radiant cooling panel system through a hybrid method |
title_full_unstemmed | Study on dynamic thermal characteristics of thermoelectric radiant cooling panel system through a hybrid method |
title_short | Study on dynamic thermal characteristics of thermoelectric radiant cooling panel system through a hybrid method |
title_sort | study on dynamic thermal characteristics of thermoelectric radiant cooling panel system through a hybrid method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382933/ https://www.ncbi.nlm.nih.gov/pubmed/32834424 http://dx.doi.org/10.1016/j.energy.2020.118413 |
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