{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T13:40:27Z","timestamp":1728913227305},"reference-count":40,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2023,2,17]],"date-time":"2023-02-17T00:00:00Z","timestamp":1676592000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"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.<\/jats:p>","DOI":"10.3390\/s23042255","type":"journal-article","created":{"date-parts":[[2023,2,17]],"date-time":"2023-02-17T06:59:24Z","timestamp":1676617164000},"page":"2255","source":"Crossref","is-referenced-by-count":1,"title":["Virtual Light Sensing Technology for Fast Calculation of Daylight Autonomy Metrics"],"prefix":"10.3390","volume":"23","author":[{"given":"Sergey","family":"Ershov","sequence":"first","affiliation":[{"name":"Keldysh Institute of Applied Math RAS, 125047 Moscow, Russia"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-1719-5102","authenticated-orcid":false,"given":"Vadim","family":"Sokolov","sequence":"additional","affiliation":[{"name":"Keldysh Institute of Applied Math RAS, 125047 Moscow, Russia"},{"name":"Faculty of Software Engineering and Computer Systems, ITMO University, 197101 St. Petersburg, Russia"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-6460-7539","authenticated-orcid":false,"given":"Vladimir","family":"Galaktionov","sequence":"additional","affiliation":[{"name":"Keldysh Institute of Applied Math RAS, 125047 Moscow, Russia"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-1252-8294","authenticated-orcid":false,"given":"Alexey","family":"Voloboy","sequence":"additional","affiliation":[{"name":"Keldysh Institute of Applied Math RAS, 125047 Moscow, Russia"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1080\/10789669.2011.573051","article-title":"A review of virtual sensing technology and application in building systems","volume":"17","author":"Li","year":"2011","journal-title":"Hvac&R Res."},{"key":"ref_2","unstructured":"Liu, L., Kuo, S.M., and Zhou, M. 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