10 فروردین 1403
امين محمدي

امین محمدی

مرتبه علمی: استادیار
نشانی: دانشکده هنر و معماری - گروه مهندسی معماری
تحصیلات: دکترای تخصصی / مهندسی معماری
تلفن: 09177723257
دانشکده: دانشکده هنر و معماری

مشخصات پژوهش

عنوان Adjustable Internal Shading for Home Office Daylighting in Tropical Climates
نوع پژوهش مقالات در نشریات
کلیدواژه‌ها
COVID-19, daylight, glare, internal shading, residential building, tropical climate, visual comfort
مجله International Journal of Design and Nature and Ecodynamics
شناسه DOI 10.18280/ijdne.160601
پژوهشگران سید محمد موسوی (نفر اول) ، Tareef Hayat Khan (نفر دوم) ، امین محمدی (نفر سوم)

چکیده

Home-based workspaces have considerably increased all over the world. Besides, the recent outbreak of the COVID-19 disease forced many people to work from their homes. However, existing residential apartment buildings (ERABs) had been designed for accommodation but not for office works. Low-quality visual environments in ERABs, which have no shading controls on their windows, are evident in tropical climates with extremely high solar radiation. Thus, interior retrofit is significant to provide visual comfort for users in ERABs with low flexibility for modification of their facades. Different interior design variables were simulated by the Radiance-based program to analyse daylighting in a closed-plan room. Before the simulation experiments, field measurement of daylight was performed under a tropical sky to validate the results, and the findings revealed significant Pearson correlations. This paper showed that ERABs are confronting extremely high indoor daylight quantity, up to 10,228 lx, and low quality with intolerable glare. An adjustable model of internal shading, including an integrated Venetian blind with a horizontal light shelf and the window films, was proposed to improve quantitative and qualitative performances of daylighting in tropical regions. This dynamic model could be adjusted to various positions based on daylighting conditions in the buildings. By comparing the simulation results of this model with the base model, indoor illuminance levels could successfully reduce from 32% to 86%; Illuminance Uniformity Ratio (IUR) and Target Daylight Illuminance (TDI) significantly improved up to 180% and 300%, respectively; Daylight Glare Probability (DGP) and CIE Glare Index (CGI) changed from intolerable to imperceptible status. Accordingly, the proposed model can considerably improve daylight quantity and quality in the test room during different times. This study concludes that the dynamic model of internal shadings could provide efficient daylighting, by d