Computational Fluid Dynamics for Cavity Natural Heat Convection: Numerical Analysis and Optimization in Greenhouse Application

Natural convection in cavity plays a significant role in energy-related field, including the indoor heat transfer analysis in greenhouse with integrated PV roof. In this study, mathematical model is established for two-dimensional heat transfer analysis in greenhouse air cavity, with numerical simul...

Full description

Saved in:
Bibliographic Details
Main Authors: Yin Zhang, Menglong Zhang, Jianwu Xiong, Gang Mao, Yicong Qi
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Advances in Mathematical Physics
Online Access:http://dx.doi.org/10.1155/2023/1074719
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832559532663898112
author Yin Zhang
Menglong Zhang
Jianwu Xiong
Gang Mao
Yicong Qi
author_facet Yin Zhang
Menglong Zhang
Jianwu Xiong
Gang Mao
Yicong Qi
author_sort Yin Zhang
collection DOAJ
description Natural convection in cavity plays a significant role in energy-related field, including the indoor heat transfer analysis in greenhouse with integrated PV roof. In this study, mathematical model is established for two-dimensional heat transfer analysis in greenhouse air cavity, with numerical simulation through computational fluid dynamics (CFD). Main natural convection impact factors, such as system configuration parameters (tilting angle and PV panel unit number) and fluid thermal–physical properties, are investigated with indoor temperature distribution and streamline comparison by finite-volume method (FVD). Preliminary results show that with rising Rayleigh number (Ra), natural convection is enhanced with growing Nusselt number (Nu). Moreover, panel slope tilting angle (θ) highly determines inside heat transfer subregions in terms of the vertical temperature gradient declines with rising θ, improving the temperature distribution uniformity inside. The solar greenhouse example illustrates that with the increasing numbers of panel group numbers (n), the air temperature gradient differences decrease, improving the temperature distribution uniformity inside, which is preferable to built environment accurate control for greenhouse in the practical engineering. This work can provide modeling method support and reference for natural heat convection applications.
format Article
id doaj-art-066ac5973b4b4007823e1da5abcebe65
institution Kabale University
issn 1687-9139
language English
publishDate 2023-01-01
publisher Wiley
record_format Article
series Advances in Mathematical Physics
spelling doaj-art-066ac5973b4b4007823e1da5abcebe652025-02-03T01:29:44ZengWileyAdvances in Mathematical Physics1687-91392023-01-01202310.1155/2023/1074719Computational Fluid Dynamics for Cavity Natural Heat Convection: Numerical Analysis and Optimization in Greenhouse ApplicationYin Zhang0Menglong Zhang1Jianwu Xiong2Gang Mao3Yicong Qi4School of ArchitectureSchool of ArchitectureSchool of ArchitectureSchool of ArchitectureSchool of ArchitectureNatural convection in cavity plays a significant role in energy-related field, including the indoor heat transfer analysis in greenhouse with integrated PV roof. In this study, mathematical model is established for two-dimensional heat transfer analysis in greenhouse air cavity, with numerical simulation through computational fluid dynamics (CFD). Main natural convection impact factors, such as system configuration parameters (tilting angle and PV panel unit number) and fluid thermal–physical properties, are investigated with indoor temperature distribution and streamline comparison by finite-volume method (FVD). Preliminary results show that with rising Rayleigh number (Ra), natural convection is enhanced with growing Nusselt number (Nu). Moreover, panel slope tilting angle (θ) highly determines inside heat transfer subregions in terms of the vertical temperature gradient declines with rising θ, improving the temperature distribution uniformity inside. The solar greenhouse example illustrates that with the increasing numbers of panel group numbers (n), the air temperature gradient differences decrease, improving the temperature distribution uniformity inside, which is preferable to built environment accurate control for greenhouse in the practical engineering. This work can provide modeling method support and reference for natural heat convection applications.http://dx.doi.org/10.1155/2023/1074719
spellingShingle Yin Zhang
Menglong Zhang
Jianwu Xiong
Gang Mao
Yicong Qi
Computational Fluid Dynamics for Cavity Natural Heat Convection: Numerical Analysis and Optimization in Greenhouse Application
Advances in Mathematical Physics
title Computational Fluid Dynamics for Cavity Natural Heat Convection: Numerical Analysis and Optimization in Greenhouse Application
title_full Computational Fluid Dynamics for Cavity Natural Heat Convection: Numerical Analysis and Optimization in Greenhouse Application
title_fullStr Computational Fluid Dynamics for Cavity Natural Heat Convection: Numerical Analysis and Optimization in Greenhouse Application
title_full_unstemmed Computational Fluid Dynamics for Cavity Natural Heat Convection: Numerical Analysis and Optimization in Greenhouse Application
title_short Computational Fluid Dynamics for Cavity Natural Heat Convection: Numerical Analysis and Optimization in Greenhouse Application
title_sort computational fluid dynamics for cavity natural heat convection numerical analysis and optimization in greenhouse application
url http://dx.doi.org/10.1155/2023/1074719
work_keys_str_mv AT yinzhang computationalfluiddynamicsforcavitynaturalheatconvectionnumericalanalysisandoptimizationingreenhouseapplication
AT menglongzhang computationalfluiddynamicsforcavitynaturalheatconvectionnumericalanalysisandoptimizationingreenhouseapplication
AT jianwuxiong computationalfluiddynamicsforcavitynaturalheatconvectionnumericalanalysisandoptimizationingreenhouseapplication
AT gangmao computationalfluiddynamicsforcavitynaturalheatconvectionnumericalanalysisandoptimizationingreenhouseapplication
AT yicongqi computationalfluiddynamicsforcavitynaturalheatconvectionnumericalanalysisandoptimizationingreenhouseapplication