The daylighting dashboard – A simulation-based design analysis for daylit spaces

Reinhart, Christoph; Wienold, Jan

doi:10.1016/j.buildenv.2010.08.001

Cited by 262 publications

(166 citation statements)

References 16 publications

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“…In the latter case, it is called discomfort glare, or psychological glare, and the excessive contrast between illuminated and dark parts of the visual field causes a progressive degradation of the visual performance and leads to premature tiring of the eyes with a subsequent onset of a feeling of discomfort or other symptoms such as headaches [18]. However, "While disability glare in daylit interiors is relatively easy to identify, discomfort glare is a more subtle, subjective phenomenon that is closely linked to a person's overall indoor environmental satisfaction" [19]. Most glare-related indices or metrics aim at evaluating discomfort glare.…”

Section: Glarementioning

confidence: 99%

A review of indices for assessing visual comfort with a view to their use in optimization processes to support building integrated design

Carlucci

Causone

Rosa

et al. 2015

Renewable and Sustainable Energy Reviews

334

156

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In the last decades, several studies aimed at assessing some specified aspects of visual comfort characterizing the relationship between the human needs and the light environment, such as an available amount of light, light uniformity, light quality in rendering colors, and predicting the risk of glare for space occupants. For each of them, a (still growing) number of indices and metrics have been proposed in literature and standards. In the present work, they are described, categorized according to common features, and finally discussed. As in the case of long-term thermal comfort indices, such visual comfort indices and their summation over a specified calculation period might be used for driving optimization processes to support a more conscious integrated design of buildings. To that purpose, the choice among the available visual comfort indices needs to be informed by an analysis of their features and implications. We present recommendations for use, and suggest areas where improvement is needed for their use in optimization processes to support buildings' design.

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Section: Glarementioning

confidence: 99%

A review of indices for assessing visual comfort with a view to their use in optimization processes to support building integrated design

Carlucci

Causone

Rosa

et al. 2015

Renewable and Sustainable Energy Reviews

334

156

View full text Add to dashboard Cite

show abstract

“…Moreover, daylight calculations based on Radiance raytracer algorithms [34] require long simulation time, even for a simple geometry like the studied one. Time required for performing daylight simulations has been demonstrated to be about 35 times longer than the one required for performing a full thermal dynamic analysis.…”

Section: Discussionmentioning

confidence: 99%

Daylight Design of Office Buildings: Optimisation of External Solar Shadings by Using Combined Simulation Methods

González

Fiorito

2015

Buildings

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Abstract:Integrating daylight and energy performance with optimization into the design process has always been a challenge for designers. Most of the building environmental performance simulation tools require a considerable amount of time and iterations for achieving accurate results. Moreover the combination of daylight and energy performances has always been an issue, as different software packages are needed to perform detailed calculations. A simplified method to overcome both issues using recent advances in software integration is explored here. As a case study; the optimization of external shadings in a typical office space in Australia is presented. Results are compared against common solutions adopted as industry standard practices. Visual comfort and energy efficiency are analysed in an integrated approach. The DIVA (Design, Iterate, Validate and Adapt) plug-in for Rhinoceros/Grasshopper software is used as the main tool, given its ability to effectively calculate daylight metrics (using the Radiance/Daysim engine) and energy consumption (using the EnergyPlus engine). The optimization process is carried out parametrically controlling the shadings' geometries. Genetic Algorithms (GA) embedded in the evolutionary solver Galapagos are adopted in order to achieve close to optimum results by controlling iteration parameters. The optimized result, in comparison with conventional design techniques, reveals significant enhancement of comfort levels and energy efficiency. Benefits and drawbacks of the proposed strategy are then discussed. OPEN ACCESSBuildings 2015, 5 561

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“…Recently, a number of studies had the goal to investigate the interrelationships 2 between thermal, visual and energy performance indicators in the context of: window 3 design optimization [50], computer-based daylighting analysis [93], solar shading 4 systems [94], and smart windows [95]. Based on findings from these studies, and in 5 line with the objectives of step 1, the PIs in Table 1 were selected for the 6 performance assessment.…”

Section: Performance Indicatorsmentioning

confidence: 99%

Simulation-based support for product development of innovative building envelope components

Loonen

Singaravel

Trcka

et al. 2014

Automation in Construction

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The daylighting dashboard – A simulation-based design analysis for daylit spaces

Cited by 262 publications

References 16 publications

A review of indices for assessing visual comfort with a view to their use in optimization processes to support building integrated design

A review of indices for assessing visual comfort with a view to their use in optimization processes to support building integrated design

Daylight Design of Office Buildings: Optimisation of External Solar Shadings by Using Combined Simulation Methods

Simulation-based support for product development of innovative building envelope components

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