This is an open access article distributed under the CC BY 4.0
Volume 19 article 836 pages: 628-641
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.
This research is supported by the Indonesian Ministry
of Higher Education and Technology through a funding
scheme PTUPT No. 2925/UN1.DITLIT/D IT-LIT/PT/2020
and Universitas Gadjah Mada Indonesia. The author
would also like to thank Integrated Smart and Green
Building (Insgreeb) Research Group and PT. Amakusa
for their support throughout the developing process and
testing of the system in this research.
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