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Adjustment of indoor temperature using internal thermal mass under different tropical weather conditions
Wonorahardjo S.a, Sutjahja I.a, Aisyah Damiati S.a, Kurnia D.a
a Department of Architecture, Bandung Institute of Technology, Bandung, 40132, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2019, Copyright © 2019 ASHRAE.According to passive design principles, room air temperature is mainly influenced by the thermal mass composition of walls and floors. This article discusses the effectiveness of thermal mass adjustment using coconut oil (co_oil) panels in a model brick house in Bandung, Indonesia. The effectiveness is determined from the improvement in air temperature profiles during the day and night under various weather conditions: clear sky, cloudy, and a combination of the two. Improvement is measured by (1) decreasing or increasing air temperature (°C h), (2) the average air temperature ((Formula presented.) °C), and (3) air temperature fluctuations (ΔT °C). All parameters were measured during two periods: (a) morning and afternoon and (b) 8:00 a.m. to 4:00 p.m. (working hours) and 8:00 p.m. to 6:00 a.m. (resting hours). The air temperature was measured at 30, 120, and 200 cm above floor level to determine the spatial distribution effect of thermal mass. The results that were confirmed using the simulation program Energy2D indicate that the indoor temperatures were affected by the roof insulation, envelope, and internal thermal mass (ITM). Adjustment of ITM through the addition of co_oil panels effectively improved indoor temperatures under all weather conditions, with more significant effects during clear sky weather conditions.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Air temperature,Average air temperature,Indoor temperature,Passive design,Roof insulations,Simulation program,Thermal mass,Working hours[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1080/23744731.2019.1608126[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]