Determining 'as built' heat loss coefficient – the impact of modelling methods of solar radiation distribution.

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Bibliographic Details
Title: Determining 'as built' heat loss coefficient – the impact of modelling methods of solar radiation distribution.
Authors: Grudzińska, Magdalena1 (AUTHOR) m.grudzinska@pollub.pl, Baborska-Narożny, Magdalena2 (AUTHOR), Bandurski, Karol3 (AUTHOR)
Source: Journal of Building Performance Simulation. Jun2026, Vol. 19 Issue 4, p780-789. 10p.
Subjects: Solar radiation, Ray tracing algorithms, Energy consumption of buildings, Sustainable buildings, Solar heating, Heat radiation & absorption, Heat transfer coefficient
Abstract: Solar heat gains are one of the key factors in the amount of energy supplied to a building. To calculate the solar heat gains profile for the interior of a building during a required time (hourly, daily, weekly, etc.), solar radiation distribution needs to be established. Two distinct approaches to radiation modelling prevail in simulation, standard and detailed, usually based accordingly on simplified solar distribution factors and more precise ray-tracing techniques. However, there is a lack of clarity on their impact on calculation results. Here the influence of selecting either method is evaluated based on a comparison of transmission heat loss coefficient (HLC) following a whole-house heat loss test conducted in a low-energy building. The results indicated less than a 1% difference in the outcomes between the two modelling approaches. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:Solar heat gains are one of the key factors in the amount of energy supplied to a building. To calculate the solar heat gains profile for the interior of a building during a required time (hourly, daily, weekly, etc.), solar radiation distribution needs to be established. Two distinct approaches to radiation modelling prevail in simulation, standard and detailed, usually based accordingly on simplified solar distribution factors and more precise ray-tracing techniques. However, there is a lack of clarity on their impact on calculation results. Here the influence of selecting either method is evaluated based on a comparison of transmission heat loss coefficient (HLC) following a whole-house heat loss test conducted in a low-energy building. The results indicated less than a 1% difference in the outcomes between the two modelling approaches. [ABSTRACT FROM AUTHOR]
ISSN:19401493
DOI:10.1080/19401493.2025.2511814