Assessing the real-time thermal performance of Reinforced Cement Concrete roof during summer- A study in the warm humid climate of Kerala

2021 ◽  
pp. 102735
Author(s):  
V.M. Joshima ◽  
M.A. Naseer ◽  
Lakshmi Prabha E
2021 ◽  
Vol 11 (19) ◽  
pp. 9354
Author(s):  
Hyun-Jung Choi ◽  
Hosang Ahn ◽  
Gyeong-Seok Choi ◽  
Jae-Sik Kang ◽  
Jung-Ho Huh

Two experiments were executed to examine the slice accelerated test method, suggested in ISO 11561 “Ageing of thermal insulation materials—Determination of the long-term change in thermal resistance of closed-cell plastics (accelerated laboratory test methods)” and to observe the changes in the thermal performance of insulation material over time by the real-time ageing process. The accelerated test method was conducted for 120 consecutive days using 10 mm thick-sliced specimens, which were sampled from a 50 mm thick plate body. The real-time ageing process was performed for 5000 consecutive days under constant temperature and relative humidity conditions as of 20 ± 5 °C and 50 ± 5% without any slicing. Degradation of thermal performance was shown to be stabilized at around 38 to 41% down from the initial values, which were correspondent with the approximately 10 days after the initial time. The real-time ageing process revealed similar degradation levels at around 130 days after the starting point. Converting the results using the scaling method specified in ISO 11561, the change was found in the range of 37 to 41% for the thermal resistance after 25 years and of 30 to 38% for the 25-year-average thermal resistance, respectively. Within the 10% error range, both the accelerated method and real-time ageing resulted in a similar level of degradation. Consequently, it was our observation that the slice accelerated test was quite enough to predict the practical degradation of insulation materials with at least 90% of accuracy under the specified time duration, temperature and thickness satisfactions.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alolote I. Amadi

PurposeThis study investigates the level of variance in the real time demand for bagged cement, induced in response to the climatic sequence of the humid tropics, to support best practice calls for a weather-responsive supply chain strategy.Design/methodology/approachData on the consumption of cement and site works for 100 ongoing building construction sites were gathered for a period of 12 months. The variance partitioning capabilities of the Ordinary Least Squares and Hierarchical Linear Modelling forms of regression analysis are comparatively used to evaluate the sensitivity of cement demand to the meteorological profile of wet-humid climateFindingsThe study outcome provides statistical evidence demonstrating that the meteorological profile of wet-humid climate induces a significantly high percentage of the variance in the real-time demand for bagged cement on construction sites. However, nested within this variance, are the fixed effects of the cement footprint of the building architecture inherent in the locality. Particularly, positive changes to reduce the wet trade composition of buildings or compensating changes in technological bias, are necessary to combat weather interference in the humid tropics.Research limitations/implicationsThe findings are exploratory, and not for the purposes of holistically forecasting cement demand, and can therefore only form part of a more comprehensive decision support system, bespoke to the study area.Practical implicationsThe study outcome provides a back-end view to climatic adaptation in wet humid settings, making a compelling case for localized climate-risk adaptive supply chain strategies and policies geared towards sustainability in cement usage.Originality/valueThe study delineates the confounding impact of weather, distinct from local building architecture and technological bias, thus creating a methodological platform for replication and comparative productivity studies in diverse geographical areas.


The roof configurations with an insulating layer and their impact on hourly floating temperature analyzed in a hot-dry climate context. A predefined computer program using a modified Fourier admittance method utilized as the primary research. The thermal performance of ten composite roof structures evaluated to obtain optimal roof structure for hot-dry climate, Jodhpur. Nine composite roof structures with an insulation layer and one without insulation layer as the base case were analyzed for the summer months (April-September). The utilization of roof thermal insulation showed a significant influence on the overall thermal performance of roofs. It also revealed that minimum temperature variation found about 8.8 0C for the composite roof structure of Reinforced Cement Concrete (RCC) with foam concrete insulation (i.e., RF-5) with thicknesses 150 mm and 140 mm respectively. The analysis assessed that composite roof structure with an insulating layer is a useful technique to reduced indoor temperature in non-conditioned buildings of hot-dry climate.


2014 ◽  
Author(s):  
Irving Biederman ◽  
Ori Amir
Keyword(s):  

2015 ◽  
Vol 2 (1) ◽  
pp. 35-41
Author(s):  
Rivan Risdaryanto ◽  
Houtman P. Siregar ◽  
Dedy Loebis

The real-time system is now used on many fields, such as telecommunication, military, information system, evenmedical to get information quickly, on time and accurate. Needless to say, a real-time system will always considerthe performance time. In our application, we define the time target/deadline, so that the system should execute thewhole tasks under predefined deadline. However, if the system failed to finish the tasks, it will lead to fatal failure.In other words, if the system cannot be executed on time, it will affect the subsequent tasks. In this paper, wepropose a real-time system for sending data to find effectiveness and efficiency. Sending data process will beconstructed in MATLAB and sending data process has a time target as when data will send.


Author(s):  
Jiyang Yu ◽  
Dan Huang ◽  
Siyang Zhao ◽  
Nan Pei ◽  
Huixia Cheng ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document