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Data from a dynamic simulation in a free-floating and continuous regime of a solar greenhouse modelled in TRNSYS 17 considering simultaneously different thermal phenomena

This dataset supports the research article “Complete greenhouse dynamic simulation tool to assess the crop thermal well-being and energy needs” [1]. In the agricultural sector, the use of energy can be very intensive [2] and the simulation of solar greenhouses is a very complex work [3]. This datase...

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Autores principales: Baglivo, Cristina, Mazzeo, Domenico, Panico, Simone, Bonuso, Sara, Matera, Nicoletta, Congedo, Paolo Maria, Oliveti, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7549062/
https://www.ncbi.nlm.nih.gov/pubmed/33072824
http://dx.doi.org/10.1016/j.dib.2020.106339
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author Baglivo, Cristina
Mazzeo, Domenico
Panico, Simone
Bonuso, Sara
Matera, Nicoletta
Congedo, Paolo Maria
Oliveti, Giuseppe
author_facet Baglivo, Cristina
Mazzeo, Domenico
Panico, Simone
Bonuso, Sara
Matera, Nicoletta
Congedo, Paolo Maria
Oliveti, Giuseppe
author_sort Baglivo, Cristina
collection PubMed
description This dataset supports the research article “Complete greenhouse dynamic simulation tool to assess the crop thermal well-being and energy needs” [1]. In the agricultural sector, the use of energy can be very intensive [2] and the simulation of solar greenhouses is a very complex work [3]. This dataset provides the results of thermal modeling and dynamic simulation of a solar greenhouse considering simultaneously several thermal phenomena. The analysis was performed by TRNSYS 17 software (TRaNsient SYstem Simulation). The results obtained consider different phenomena that affect the thermal behavior of the greenhouse, including evapotranspiration produced by plants, heat exchange with the soil and the presence of artificial lights. Different models are presented for the calculation of the convective coefficient that best suits the presence of glass surfaces, considering the different discretization of the internal volume (single thermal zone and twenty thermal zones). The parameters that influence the thermal behavior of the greenhouse are analyzed on an hourly basis, the model has been validated with EnergyPlus. The data allow the researcher to choose a suitable greenhouse model in the case of free-floating model or in the presence of an air conditioning system.
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spelling pubmed-75490622020-10-16 Data from a dynamic simulation in a free-floating and continuous regime of a solar greenhouse modelled in TRNSYS 17 considering simultaneously different thermal phenomena Baglivo, Cristina Mazzeo, Domenico Panico, Simone Bonuso, Sara Matera, Nicoletta Congedo, Paolo Maria Oliveti, Giuseppe Data Brief Data Article This dataset supports the research article “Complete greenhouse dynamic simulation tool to assess the crop thermal well-being and energy needs” [1]. In the agricultural sector, the use of energy can be very intensive [2] and the simulation of solar greenhouses is a very complex work [3]. This dataset provides the results of thermal modeling and dynamic simulation of a solar greenhouse considering simultaneously several thermal phenomena. The analysis was performed by TRNSYS 17 software (TRaNsient SYstem Simulation). The results obtained consider different phenomena that affect the thermal behavior of the greenhouse, including evapotranspiration produced by plants, heat exchange with the soil and the presence of artificial lights. Different models are presented for the calculation of the convective coefficient that best suits the presence of glass surfaces, considering the different discretization of the internal volume (single thermal zone and twenty thermal zones). The parameters that influence the thermal behavior of the greenhouse are analyzed on an hourly basis, the model has been validated with EnergyPlus. The data allow the researcher to choose a suitable greenhouse model in the case of free-floating model or in the presence of an air conditioning system. Elsevier 2020-09-28 /pmc/articles/PMC7549062/ /pubmed/33072824 http://dx.doi.org/10.1016/j.dib.2020.106339 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Baglivo, Cristina
Mazzeo, Domenico
Panico, Simone
Bonuso, Sara
Matera, Nicoletta
Congedo, Paolo Maria
Oliveti, Giuseppe
Data from a dynamic simulation in a free-floating and continuous regime of a solar greenhouse modelled in TRNSYS 17 considering simultaneously different thermal phenomena
title Data from a dynamic simulation in a free-floating and continuous regime of a solar greenhouse modelled in TRNSYS 17 considering simultaneously different thermal phenomena
title_full Data from a dynamic simulation in a free-floating and continuous regime of a solar greenhouse modelled in TRNSYS 17 considering simultaneously different thermal phenomena
title_fullStr Data from a dynamic simulation in a free-floating and continuous regime of a solar greenhouse modelled in TRNSYS 17 considering simultaneously different thermal phenomena
title_full_unstemmed Data from a dynamic simulation in a free-floating and continuous regime of a solar greenhouse modelled in TRNSYS 17 considering simultaneously different thermal phenomena
title_short Data from a dynamic simulation in a free-floating and continuous regime of a solar greenhouse modelled in TRNSYS 17 considering simultaneously different thermal phenomena
title_sort data from a dynamic simulation in a free-floating and continuous regime of a solar greenhouse modelled in trnsys 17 considering simultaneously different thermal phenomena
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7549062/
https://www.ncbi.nlm.nih.gov/pubmed/33072824
http://dx.doi.org/10.1016/j.dib.2020.106339
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