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Journal ArticleDOI

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

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TLDR
In this paper, a fully integrated design analysis method is introduced that simultaneously considers annual daylight availability, visual comfort and energy use: Annual daylight glare probability profiles are combined with an occupant behavior model in order to determine annual shading profiles and visual comfort conditions throughout a space.
About
This article is published in Building and Environment.The article was published on 2011-02-01. It has received 264 citations till now. The article focuses on the topics: Daylighting & Daylight.

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Citations
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Journal ArticleDOI

Multi-performance optimization of static shading devices for glare, daylight, view and energy consideration

TL;DR: In this article , the authors investigated the potential of exterior static shadings in reducing disturbing glare, and the effects on daylight provision, view out, and energy use in two classrooms in the northern city of Tallinn, Estonia.
Journal ArticleDOI

Impact of Daylighting Design Strategies on Social Sustainability Through the Built Environment

TL;DR: In this article, the authors investigated daylighting design strategies and situate social sustainability aspects related to the built environment in Iranian traditional four-season courtyard houses in a hot and arid region.
Journal ArticleDOI

A holistic approach to assess the exploitation of renewable energy sources for design interventions in the early design phases

TL;DR: In this article, the authors present a holistic approach applied to assess the exploitation of renewable energy sources for design interventions in the early design phases in a consolidated urban environment, which is tested on two existing residential building blocks in a case study district in Bolzano (Italy).
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Coupling an artificial neuron network daylighting model and building energy simulation for vacuum photovoltaic glazing

TL;DR: A RADIANCE model was developed and validated to adequately represent the daylight behaviour of a vacuum cadmium telluride photovoltaic glazing with a three-layer structure and can adequately address the complex daylighting response of the vacuum PV glazing.
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Prediction of Daylighting and Energy Performance Using Artificial Neural Network and Support Vector Machine

TL;DR: The aim of the paper is to use machine learning techniques to predict the daylighting metrics such as illuminance and thermal metrics for different combinations of window glazing transmittances, weather conditions and blind reflectance values.
References
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Journal ArticleDOI

Evaluation methods and development of a new glare prediction model for daylight environments with the use of CCD cameras

TL;DR: In this article, a CCD camera-based luminance mapping technology was used to provide new insight into the impact of luminance distributions on glare, and a new index, daylight glare probability (DGP), was developed and is presented in this paper.
Book

Rendering with radiance: the art and science of lighting visualization

TL;DR: This is the definitive reference on the radiance lighting simulation and rendering system.
Journal ArticleDOI

Dynamic Daylight Performance Metrics for Sustainable Building Design

TL;DR: In this paper, a review of previously suggested dynamic daylight performance metrics, discussing the capability of these metrics to lead to superior daylighting designs and their accessibility to nonsimulation experts, is presented.
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Lightswitch-2002: a model for manual and automated control of electric lighting and blinds

TL;DR: A simulation algorithm is proposed that predicts the lighting energy performance of manually and automatically controlled electric lighting and blind systems in private and two-person offices and features four different user types to mimic variation in control behavior between different occupants.
Journal ArticleDOI

Useful daylight illuminances: A replacement for daylight factors

TL;DR: The UDI paradigm is designed to aid the interpretation of climate-based analyses of daylight illuminance levels that are founded on hourly meteorological data for a period of a full year, and is well-suited for teaching purposes.
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