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In situ real-time dataset as compared to the predicted thermal wheel performance of an energy recovery system

The data article refers to in situ real-time dataset of a rotary desiccant wheel system and description of its experimental design. The original research paper was published in Heliyon, “Optimization of a rotary desiccant wheel for enthalpy recovery of air-conditioning in a humid hospitality environ...

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Detalles Bibliográficos
Autores principales: Tsai, Hung-Yi, Wu, Chung-Tai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432986/
https://www.ncbi.nlm.nih.gov/pubmed/37600592
http://dx.doi.org/10.1016/j.dib.2023.109472
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author Tsai, Hung-Yi
Wu, Chung-Tai
author_facet Tsai, Hung-Yi
Wu, Chung-Tai
author_sort Tsai, Hung-Yi
collection PubMed
description The data article refers to in situ real-time dataset of a rotary desiccant wheel system and description of its experimental design. The original research paper was published in Heliyon, “Optimization of a rotary desiccant wheel for enthalpy recovery of air-conditioning in a humid hospitality environment” [1]. Supplementing to this data article are eight dataset files pertaining to ambient conditions and dehumidified process air outputs, as well as comparisons of experimental and numerical outputs under various operating conditions. Physical implementation of the experiments for numerical validation of transient responses included step changes to the regeneration air temperature, wheel speed, and airflow rate (i.e. fan speed). Finally, the data article provides insights to optimal performance of thermal wheel operation for HVAC practitioners and academic researchers.
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spelling pubmed-104329862023-08-18 In situ real-time dataset as compared to the predicted thermal wheel performance of an energy recovery system Tsai, Hung-Yi Wu, Chung-Tai Data Brief Data Article The data article refers to in situ real-time dataset of a rotary desiccant wheel system and description of its experimental design. The original research paper was published in Heliyon, “Optimization of a rotary desiccant wheel for enthalpy recovery of air-conditioning in a humid hospitality environment” [1]. Supplementing to this data article are eight dataset files pertaining to ambient conditions and dehumidified process air outputs, as well as comparisons of experimental and numerical outputs under various operating conditions. Physical implementation of the experiments for numerical validation of transient responses included step changes to the regeneration air temperature, wheel speed, and airflow rate (i.e. fan speed). Finally, the data article provides insights to optimal performance of thermal wheel operation for HVAC practitioners and academic researchers. Elsevier 2023-08-03 /pmc/articles/PMC10432986/ /pubmed/37600592 http://dx.doi.org/10.1016/j.dib.2023.109472 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Tsai, Hung-Yi
Wu, Chung-Tai
In situ real-time dataset as compared to the predicted thermal wheel performance of an energy recovery system
title In situ real-time dataset as compared to the predicted thermal wheel performance of an energy recovery system
title_full In situ real-time dataset as compared to the predicted thermal wheel performance of an energy recovery system
title_fullStr In situ real-time dataset as compared to the predicted thermal wheel performance of an energy recovery system
title_full_unstemmed In situ real-time dataset as compared to the predicted thermal wheel performance of an energy recovery system
title_short In situ real-time dataset as compared to the predicted thermal wheel performance of an energy recovery system
title_sort in situ real-time dataset as compared to the predicted thermal wheel performance of an energy recovery system
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432986/
https://www.ncbi.nlm.nih.gov/pubmed/37600592
http://dx.doi.org/10.1016/j.dib.2023.109472
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