2019
DOI: 10.36478/jeasci.2019.3659.3665
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Thermal Environment Accuracy Investigation of Integrated Environmental Solutions-Virtual Environment (IES-VE) Software for Double-Story House Simulation in Malaysia

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Cited by 20 publications
(14 citation statements)
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“…Therefore, all the data conducted from the survey regarding the case study had to be assigned again in DesignBuilder and IES-ve to cope with the study objective of validating the energy analysis outcomes. • The two BIM-based model simulation outputs were very close to the actual measured data, they were all within the acceptable range of <10-20% (Maamari et al, 2006;Oleiwi et al, 2019).…”
Section: Resultssupporting
confidence: 52%
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“…Therefore, all the data conducted from the survey regarding the case study had to be assigned again in DesignBuilder and IES-ve to cope with the study objective of validating the energy analysis outcomes. • The two BIM-based model simulation outputs were very close to the actual measured data, they were all within the acceptable range of <10-20% (Maamari et al, 2006;Oleiwi et al, 2019).…”
Section: Resultssupporting
confidence: 52%
“…While the shape composed by IES-ve slightly shifted to the upper limits, with a deviation of 0.93%, this might be due to the 10% increase in the space volume compared to the original BIM model. Still, both BEM application outcomes were strongly correlated to the • IES-ve reassigned all the energy data according to its HVAC library based on the imported space type despite the fact that the type of information accompanied with this choice led to the false transition of data • All the data had to be reassigned in IES-ve measured ones and within an acceptable range of deviation since the percentage of differences was <10-20% (Maamari et al, 2006;Oleiwi et al, 2019). Both programs have been tested and validated by ANSI/ASHRAE Standard 140-2011 for building thermal envelope calculation and Fabric Load, in addition to the TM33 test for energy performance in the UK.…”
Section: Energy Performance Test Using the Bim-based Modelmentioning
confidence: 99%
“…However, the model using the generated USWDs showed a smaller deviation from the energy bills recording a deviation of 6% compared to 15% for the energy model using the WMO weather file. Yet, both outcomes are strongly correlated to the measured consumption and within an acceptable range of deviation since the percentage of differences was <10-20% (Maamari et al,2006;Oleiwi et al, 2019).…”
Section: Iesve Outcomes Using the Generated Uswdsmentioning
confidence: 70%
“…The annual consumption value of the three houses ranged between 31,403 kWh and 39,420 kWh, with an average of 34,194.33 kWh. Although DesignBuilder predicted an electrical consumption of 34,720.19 kWh/year, this still falls within the acceptable average range of <10-20% [64,65], as it recorded variations of 10.5%, 9.3% and 11.9% for houses 1-3, respectively. The simulated outcomes were plotted against the three houses' actual electricity consumption, as shown in Figure 7.…”
Section: Base Model Energy Performance and Validationmentioning
confidence: 79%