Effects of Window-to-Wall Ratio on Energy Consumption: Application of Numerical and ANN Approaches

Buildings account for a major part of Total Energy Consumption (TEC) in comparison to that of industry and other sections. The opening and envelope material can affect their TEC. Accordingly, this paper aims to study the effects of the window to external wall ratio (WWR) and the application of recyc...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autor principal:	Aniseh Saber
Formato:	article
Lenguaje:	EN
Publicado:	Pouyan Press 2021
Materias:	wall-to-window ratio energy consumption design builder recycled panels artificial neural networks Technology T
Acceso en línea:	https://doaj.org/article/dd0f068e5cb749aaba39cdf5de14b6c5
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:dd0f068e5cb749aaba39cdf5de14b6c5
record_format	dspace
spelling	oai:doaj.org-article:dd0f068e5cb749aaba39cdf5de14b6c52021-12-03T15:12:29ZEffects of Window-to-Wall Ratio on Energy Consumption: Application of Numerical and ANN Approaches2588-287210.22115/scce.2021.281977.1299https://doaj.org/article/dd0f068e5cb749aaba39cdf5de14b6c52021-10-01T00:00:00Zhttp://www.jsoftcivil.com/article_139407_9e4aab0b914e3a47c534e25951d54d87.pdfhttps://doaj.org/toc/2588-2872Buildings account for a major part of Total Energy Consumption (TEC) in comparison to that of industry and other sections. The opening and envelope material can affect their TEC. Accordingly, this paper aims to study the effects of the window to external wall ratio (WWR) and the application of recycled panels as the building envelope on the total energy consumption in a one-floor residential building located in Iran and characterized by a semi-arid climate. To follow the sustainability criterion, we designed two concrete panels for the external walls’ envelope including a porous concrete panel and recycled ash concrete panel. The WWR varies between 5% to 95% and the optimal WWRs are separately presented for all the months. To develop the models, we used Design Builder software which its simulations are validated via field observations. For all the panels, the least energy consumption is obtained when the WWR is 5%. However, due to lighting issues, the most optimal WWR is calculated as 45-55% based on the results of the numerical simulations. Further, it is proved that the recycled ash concrete panel outperforms the porous concrete panel in terms of minimum energy consumption. Hence, it is recommended to use eco-friendly material as the external walls envelop with the WWR below 50%. The numerical simulations provided 240 data points for each panel which is exploited to develop an ANN model. The results suggested that the ANN models predict the TEC based on the month and WWR with high accuracy.Aniseh SaberPouyan Pressarticlewall-to-window ratioenergy consumptiondesign builderrecycled panelsartificial neural networksTechnologyTENJournal of Soft Computing in Civil Engineering, Vol 5, Iss 4, Pp 41-56 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	wall-to-window ratio energy consumption design builder recycled panels artificial neural networks Technology T
spellingShingle	wall-to-window ratio energy consumption design builder recycled panels artificial neural networks Technology T Aniseh Saber Effects of Window-to-Wall Ratio on Energy Consumption: Application of Numerical and ANN Approaches
description	Buildings account for a major part of Total Energy Consumption (TEC) in comparison to that of industry and other sections. The opening and envelope material can affect their TEC. Accordingly, this paper aims to study the effects of the window to external wall ratio (WWR) and the application of recycled panels as the building envelope on the total energy consumption in a one-floor residential building located in Iran and characterized by a semi-arid climate. To follow the sustainability criterion, we designed two concrete panels for the external walls’ envelope including a porous concrete panel and recycled ash concrete panel. The WWR varies between 5% to 95% and the optimal WWRs are separately presented for all the months. To develop the models, we used Design Builder software which its simulations are validated via field observations. For all the panels, the least energy consumption is obtained when the WWR is 5%. However, due to lighting issues, the most optimal WWR is calculated as 45-55% based on the results of the numerical simulations. Further, it is proved that the recycled ash concrete panel outperforms the porous concrete panel in terms of minimum energy consumption. Hence, it is recommended to use eco-friendly material as the external walls envelop with the WWR below 50%. The numerical simulations provided 240 data points for each panel which is exploited to develop an ANN model. The results suggested that the ANN models predict the TEC based on the month and WWR with high accuracy.
format	article
author	Aniseh Saber
author_facet	Aniseh Saber
author_sort	Aniseh Saber
title	Effects of Window-to-Wall Ratio on Energy Consumption: Application of Numerical and ANN Approaches
title_short	Effects of Window-to-Wall Ratio on Energy Consumption: Application of Numerical and ANN Approaches
title_full	Effects of Window-to-Wall Ratio on Energy Consumption: Application of Numerical and ANN Approaches
title_fullStr	Effects of Window-to-Wall Ratio on Energy Consumption: Application of Numerical and ANN Approaches
title_full_unstemmed	Effects of Window-to-Wall Ratio on Energy Consumption: Application of Numerical and ANN Approaches
title_sort	effects of window-to-wall ratio on energy consumption: application of numerical and ann approaches
publisher	Pouyan Press
publishDate	2021
url	https://doaj.org/article/dd0f068e5cb749aaba39cdf5de14b6c5
work_keys_str_mv	AT anisehsaber effectsofwindowtowallratioonenergyconsumptionapplicationofnumericalandannapproaches
_version_	1718373178464534528

Effects of Window-to-Wall Ratio on Energy Consumption: Application of Numerical and ANN Approaches

Ejemplares similares