A Monte Carlo Method for the Simulation of Transient Radiation Heat Transfer: Application to Compound Honeycomb Transparent Insulation

Schweiger, Hans; Oliva, A.; Costa, M.; Segarra, Carlos David Pérez

doi:10.1080/104077999276036

Cited by 15 publications

(1 citation statement)

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“…In [8], a one-dimensional model was used to study the coupled radiative and conductive heat transfer across honeycomb panels. A Monte Carlo method was used in [9] to simulate the combined conduction and radiation heat transfer in honeycomb-type transparent insulation materials. A three-dimensional model to investigate the total heat transfer across a honeycomb structure has been used in [10].…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Annual Transmission Heat Loss Reduction of a Refurbished Existing Building with an Advanced Solar Selective Thermal Insulation System

2021

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A numerical parameter sensitivity analysis of the design parameters of the recently published solar selective thermal insulation system (SATIS) has been carried out to enhance its thermal and optical properties. It turned out that the insulation properties of SATIS can be effectively improved by reducing the length of the glass closure element. Increasing the area share of the light conducting elements (LCEs) and decreasing their length-to-diameter (L/D) ratio were identified as key parameters in order to increase the solar gain. Two SATIS variants were compared with the same wall insulation without SATIS in a yearly energetic performance assessment. The SATIS variant with 10 mm length of the closure element, 44.2% area share of LCE, as well as front and rear diameters of 12 mm/9 mm shows an 11.8% lower transmission heat loss over the heating period than the wall insulation without SATIS. A new methodology was developed to enable the implementation of the computed solar gains of SATIS in 1D simulation tools. The result is a radiant heat flow map for integration as a heat source in 1D simulation models. A comparison between the 1D and 3D models of the inside wall heat fluxes showed an integral yearly agreement of 98%.

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Section: Introductionmentioning

confidence: 99%