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Evaluation of climate-based daylighting techniques for complex fenestration and shading systems

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journal contribution
posted on 17.10.2019 by Eleonora Brembilla, DA Chi, Christina Hopfe, John Mardaljevic
The 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 Buildings

Volume

203

Publisher

Elsevier

Version

VoR (Version of Record)

Rights holder

© The Authors

Acceptance date

22/09/2019

Publication date

2019-09-23

Copyright date

2019

ISSN

0378-7788

Language

en

Depositor

Eleonora Brembilla. Deposit date: 15 October 2019

Article number

109454

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