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Virtual Light Sensing Technology for Fast Calculation of Daylight Autonomy Metrics †

Virtual sensing technology uses mathematical calculations instead of natural measurements when the latter are too difficult or expensive. Nowadays, application of virtual light sensing technology becomes almost mandatory for daylight analysis at the stage of architectural project development. Daylig...

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Autores principales: Ershov, Sergey, Sokolov, Vadim, Galaktionov, Vladimir, Voloboy, Alexey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966575/
https://www.ncbi.nlm.nih.gov/pubmed/36850853
http://dx.doi.org/10.3390/s23042255
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author Ershov, Sergey
Sokolov, Vadim
Galaktionov, Vladimir
Voloboy, Alexey
author_facet Ershov, Sergey
Sokolov, Vadim
Galaktionov, Vladimir
Voloboy, Alexey
author_sort Ershov, Sergey
collection PubMed
description Virtual sensing technology uses mathematical calculations instead of natural measurements when the latter are too difficult or expensive. Nowadays, application of virtual light sensing technology becomes almost mandatory for daylight analysis at the stage of architectural project development. Daylight Autonomy metrics should be calculated multiple times during the project. A properly designed building can reduce the necessity of artificial lighting, thus saving energy. There are two main daylight performance metrics: Spatial Daylight Autonomy (sDA) and Annual Sunlight Exposure (ASE). To obtain their values, we have to simulate global illumination for every hour of the year. A light simulation method should therefore be as efficient as possible for processing complex building models. In this paper we present a method for fast calculation of Daylight Autonomy metrics, allowing them to be calculated within a reasonable timescale. We compared our method with straightforward calculations and other existing solutions. This comparison demonstrates good agreement; this proves sufficient accuracy and higher efficiency of the method. Our method also contains an original algorithm for the automatic setting of the sensing area. The sDA metric is calculated considering blinds control, which should open or close them depending on overexposure to direct sunlight. Thus, we developed an optimization procedure to determine the blinds configuration at any time.
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spelling pubmed-99665752023-02-26 Virtual Light Sensing Technology for Fast Calculation of Daylight Autonomy Metrics † Ershov, Sergey Sokolov, Vadim Galaktionov, Vladimir Voloboy, Alexey Sensors (Basel) Article Virtual sensing technology uses mathematical calculations instead of natural measurements when the latter are too difficult or expensive. Nowadays, application of virtual light sensing technology becomes almost mandatory for daylight analysis at the stage of architectural project development. Daylight Autonomy metrics should be calculated multiple times during the project. A properly designed building can reduce the necessity of artificial lighting, thus saving energy. There are two main daylight performance metrics: Spatial Daylight Autonomy (sDA) and Annual Sunlight Exposure (ASE). To obtain their values, we have to simulate global illumination for every hour of the year. A light simulation method should therefore be as efficient as possible for processing complex building models. In this paper we present a method for fast calculation of Daylight Autonomy metrics, allowing them to be calculated within a reasonable timescale. We compared our method with straightforward calculations and other existing solutions. This comparison demonstrates good agreement; this proves sufficient accuracy and higher efficiency of the method. Our method also contains an original algorithm for the automatic setting of the sensing area. The sDA metric is calculated considering blinds control, which should open or close them depending on overexposure to direct sunlight. Thus, we developed an optimization procedure to determine the blinds configuration at any time. MDPI 2023-02-17 /pmc/articles/PMC9966575/ /pubmed/36850853 http://dx.doi.org/10.3390/s23042255 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ershov, Sergey
Sokolov, Vadim
Galaktionov, Vladimir
Voloboy, Alexey
Virtual Light Sensing Technology for Fast Calculation of Daylight Autonomy Metrics †
title Virtual Light Sensing Technology for Fast Calculation of Daylight Autonomy Metrics †
title_full Virtual Light Sensing Technology for Fast Calculation of Daylight Autonomy Metrics †
title_fullStr Virtual Light Sensing Technology for Fast Calculation of Daylight Autonomy Metrics †
title_full_unstemmed Virtual Light Sensing Technology for Fast Calculation of Daylight Autonomy Metrics †
title_short Virtual Light Sensing Technology for Fast Calculation of Daylight Autonomy Metrics †
title_sort virtual light sensing technology for fast calculation of daylight autonomy metrics †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966575/
https://www.ncbi.nlm.nih.gov/pubmed/36850853
http://dx.doi.org/10.3390/s23042255
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