Optimal thermal sensors placement based on indoor thermal environment characterization by using CFD model

This paper discusses an analysis to obtain the optimal thermal sensor placement based on indoor thermal characteristics. The method relies on the Computational Fluid Dynamics (CFD) simulation by manipulating the outdoor climate and indoor air conditioning (AC) system. First, the alternative sensor&#...

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Autores principales:	Faridah, Utami Sentagi Sesotya, Yanti Ressy Jaya, Sunarno, Nurjani Emilya, Wijaya Rony
Formato:	article
Lenguaje:	EN
Publicado:	Institut za istrazivanja i projektovanja u privredi 2021
Materias:	sensor placement indoor thermal environment euclidean distance cfd model monitoring system Technology T Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/e2bd4617d2ad47afa28ec2f252ab33b2
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id	oai:doaj.org-article:e2bd4617d2ad47afa28ec2f252ab33b2
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spelling	oai:doaj.org-article:e2bd4617d2ad47afa28ec2f252ab33b22021-12-05T21:23:12ZOptimal thermal sensors placement based on indoor thermal environment characterization by using CFD model1451-41171821-319710.5937/jaes0-28985https://doaj.org/article/e2bd4617d2ad47afa28ec2f252ab33b22021-01-01T00:00:00Zhttps://scindeks-clanci.ceon.rs/data/pdf/1451-4117/2021/1451-41172103628F.pdfhttps://doaj.org/toc/1451-4117https://doaj.org/toc/1821-3197This paper discusses an analysis to obtain the optimal thermal sensor placement based on indoor thermal characteristics. The method relies on the Computational Fluid Dynamics (CFD) simulation by manipulating the outdoor climate and indoor air conditioning (AC) system. First, the alternative sensor's position is considered the optimum installation and the occupant's safety. Utilizing the Standardized Euclidean Distance (SED) analysis, these positions are then selected for the best position using the distribution of the thermal parameters' values data at the activity zones. Onsite measurement validated the CFD model results with the maximum root means square error, RMSE, between both data sets as 0.8°C for temperature, the relative humidity of 3.5%, and an air velocity of 0.08m/s, due to the significant effect of the building location. The Standardized Euclidean Distance (SED) analysis results are the optimum sensor positions that accurately, consistently, and have the optimum % coverage representing the thermal condition at 1,1m floor level. At the optimal positions, actual sensors are installed and proven to be valid results since sensors could detect thermal variables at the height of 1.1m with SED validation values of 2.5±0.3, 2.2±0.6, 2.0±1.1, for R15, R33, and R40, respectively.FaridahUtami Sentagi SesotyaYanti Ressy JayaSunarnoNurjani EmilyaWijaya RonyInstitut za istrazivanja i projektovanja u privrediarticlesensor placementindoor thermal environmenteuclidean distancecfd modelmonitoring systemTechnologyTEngineering (General). Civil engineering (General)TA1-2040ENIstrazivanja i projektovanja za privredu, Vol 19, Iss 3, Pp 628-641 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	sensor placement indoor thermal environment euclidean distance cfd model monitoring system Technology T Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	sensor placement indoor thermal environment euclidean distance cfd model monitoring system Technology T Engineering (General). Civil engineering (General) TA1-2040 Faridah Utami Sentagi Sesotya Yanti Ressy Jaya Sunarno Nurjani Emilya Wijaya Rony Optimal thermal sensors placement based on indoor thermal environment characterization by using CFD model
description	This paper discusses an analysis to obtain the optimal thermal sensor placement based on indoor thermal characteristics. The method relies on the Computational Fluid Dynamics (CFD) simulation by manipulating the outdoor climate and indoor air conditioning (AC) system. First, the alternative sensor's position is considered the optimum installation and the occupant's safety. Utilizing the Standardized Euclidean Distance (SED) analysis, these positions are then selected for the best position using the distribution of the thermal parameters' values data at the activity zones. Onsite measurement validated the CFD model results with the maximum root means square error, RMSE, between both data sets as 0.8°C for temperature, the relative humidity of 3.5%, and an air velocity of 0.08m/s, due to the significant effect of the building location. The Standardized Euclidean Distance (SED) analysis results are the optimum sensor positions that accurately, consistently, and have the optimum % coverage representing the thermal condition at 1,1m floor level. At the optimal positions, actual sensors are installed and proven to be valid results since sensors could detect thermal variables at the height of 1.1m with SED validation values of 2.5±0.3, 2.2±0.6, 2.0±1.1, for R15, R33, and R40, respectively.
format	article
author	Faridah Utami Sentagi Sesotya Yanti Ressy Jaya Sunarno Nurjani Emilya Wijaya Rony
author_facet	Faridah Utami Sentagi Sesotya Yanti Ressy Jaya Sunarno Nurjani Emilya Wijaya Rony
author_sort	Faridah
title	Optimal thermal sensors placement based on indoor thermal environment characterization by using CFD model
title_short	Optimal thermal sensors placement based on indoor thermal environment characterization by using CFD model
title_full	Optimal thermal sensors placement based on indoor thermal environment characterization by using CFD model
title_fullStr	Optimal thermal sensors placement based on indoor thermal environment characterization by using CFD model
title_full_unstemmed	Optimal thermal sensors placement based on indoor thermal environment characterization by using CFD model
title_sort	optimal thermal sensors placement based on indoor thermal environment characterization by using cfd model
publisher	Institut za istrazivanja i projektovanja u privredi
publishDate	2021
url	https://doaj.org/article/e2bd4617d2ad47afa28ec2f252ab33b2
work_keys_str_mv	AT faridah optimalthermalsensorsplacementbasedonindoorthermalenvironmentcharacterizationbyusingcfdmodel AT utamisentagisesotya optimalthermalsensorsplacementbasedonindoorthermalenvironmentcharacterizationbyusingcfdmodel AT yantiressyjaya optimalthermalsensorsplacementbasedonindoorthermalenvironmentcharacterizationbyusingcfdmodel AT sunarno optimalthermalsensorsplacementbasedonindoorthermalenvironmentcharacterizationbyusingcfdmodel AT nurjaniemilya optimalthermalsensorsplacementbasedonindoorthermalenvironmentcharacterizationbyusingcfdmodel AT wijayarony optimalthermalsensorsplacementbasedonindoorthermalenvironmentcharacterizationbyusingcfdmodel
_version_	1718371037165387776

Optimal thermal sensors placement based on indoor thermal environment characterization by using CFD model

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