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Evaluation of climate-based daylighting techniques for complex fenestration and shading systems
journal contribution
posted on 2019-10-17, 13:48 authored by Eleonora Brembilla, DA Chi, Christina Hopfe, John MardaljevicJohn MardaljevicThe latest advancements in glazing technology are driving facade design towards complex and adaptive fenestration systems. Accurate simulation of their optical properties and operational controls for building daylight performance evaluation requires advanced modelling techniques, such as climate-based daylight modelling (CBDM). At the same time, computational efficiency is key to quickly simulate this complex performance over a full year. Over the years, several CBDM techniques were developed to answer these two main challenges, but they were never systematically benchmarked against each other. This paper compares state-of-the-art RADIANCE-based simulation techniques in terms of annual daylight performance metrics required by national guidelines and international green building rating schemes. The comparison is performed on three different shading systems: diffuse Venetian blinds, specular Venetian blinds, and perforated solar screens. Findings show that simulation methods are characterised by significant differences in their implementation and visual rendering, but most annual daylight metrics result in consistent values (within ± 20%). A notable exception is Annual Sunlight Exposure, which is highly sensitive to the chosen simulation method, with differences of up to 47 percentage points. Additional outcomes from the present work are used to compile a list of generalised recommendations for designers and policy makers.
Funding
Engineering and Physical Sciences Research Council and Arup Lighting UKMEA Group, under the EPSRC CASE Award scheme (Grant EP/K504476/1)
History
School
- Architecture, Building and Civil Engineering
Published in
Energy and BuildingsVolume
203Publisher
ElsevierVersion
- VoR (Version of Record)
Rights holder
© The AuthorsAcceptance date
2019-09-22Publication date
2019-09-23Copyright date
2019ISSN
0378-7788Publisher version
Language
- en
Depositor
Eleonora Brembilla. Deposit date: 15 October 2019Article number
109454Usage metrics
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