This paper aims to explore the comprehensive impact of roller shade on daylighting and energy consumption of office buildings in range of hot summer and cold winter, and determine the key parameters affecting the comprehensive performance of roller shade. Firstly, 560 kinds of roller shade are obtained by selecting the combination of 6 parameters affecting the performance of roller shade, and the annual dynamic energy consumption simulation and daylighting simulation are carried out by using EnergyPlus and Radiance; Secondly, through the questionnaire, the shading schedule considering the human behavior of office buildings and the proportion of indoor personnel’s attention to glare, daylighting and energy consumption are obtained; Finally, considering energy consumption, glare and daylighting, an innovative comprehensive performance index （Energy-Daylight, ED） is proposed to comprehensively evaluate the roller shade. Based on this index, the key parameters affecting the performance of roller shade are determined. The results show that in range of hot summer and cold winter, solar transmittance and reflecttance are two main factors affecting the comprehensive performance of roller shade. When the solar transmittance changes in the range of 0.01~0.10, it has a positive impact on the comprehensive performance of roller shade.
Key words
office buildings /
solar radiation /
daylighting /
energy consumption /
window attachments /
comprehensive energy-daylighting index
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References
[1] 清华大学建筑节能研究中心. 中国建筑节能年度发展研究报告2020(农村住宅专题)[M]. 北京: 中国建筑工业出版社, 2020: 1-70.
Tsinghua University Building Energy Conservation Research Center. 2020 annual report on China building energy efficiency (rural housing topics)[M]. Beijing: China Architecture & Building Press, 2020: 1-70.
[2] 伍明慧. 皖南民居门窗低能耗设计技术研究[D]. 合肥:安徽建筑大学, 2018.
WU M H.Researchon low-energy technology design for doors and windows od residential houses in southern Anhui[D]. Hefei: Anhui Jianzhu University, 2018.
[3] 李翠, 李峥嵘, 肖琳. 建筑遮阳调节行为特性研究[J]. 建筑科学, 2015, 31(10): 218-221.
LI C,LI Z R, XIAO L.Study on shading control behavior in office buildings[J]. Building science, 2015, 31(10):218-221.
[4] KUNWAR N, BHANDARI M.A comprehensive analysis of energy and daylighting impact of window shading systems and control strategies on commercial buildings in the united states[J]. Energies, 2020, 13(9): 2401.
[5] CHAN Y C, TZEMPELIKOS A.Efficient venetian blind control strategies considering daylight utilization and glare protection[J]. Solar energy, 2013, 98(3): 241-254.
[6] KOO S Y, YEO M S, KIM K W.Automated blind control to maximize the benefits of daylight in buildings[J]. Building and environment, 2010, 45(6): 1508-1520.
[7] YAO J.An investigation into the impact of movable solar shades on energy, indoor thermal and visual comfort improvements[J]. Building and environment, 2014, 71: 24-32.
[8] LITTLEFAIR P, ORTIZ J, BHAUMIK C D.A simulation of solar shading control on UK office energy use[J]. Building research & information, 2010, 38(6): 638-646.
[9] KHEYBARI A G, HOFFMANN S.Exploring the potential of the dynamic façade: simulating daylight and energy performance of complex fenestration systems (Venetian blinds)[C]//BauSIM2018, the 7th German-Austrian IBPSA conference, Karlsruhe, Germany, 2018.
[10] TOUMA A A, OUAHRANI D.The selection of brise soleil shading optical properties for energy conservation and glare removal: a case study in Qatar[J]. Journal of building engineering, 2018, 20: 510-519.
[11] WANG H, WU H, DING Y, et al.Modeling and analysis on the cooling energy efficiency of sun-shading of external windows in hot summer and warm winter zone[C]// 2011 International Conference on Materials for Renewable Energy & Environment, Shanghai, China, 2011.
[12] 谭羽桐, 彭晋卿, 李念平, 等. 遮阳产品对空调能耗影响的参数化研究[J]. 建筑科学, 2019, 35(4): 116-122.
TAN Y T, PENG J Q, LI N P, et al.Parametric study of window attachment on energy consumption of air conditioning[J]. Building science, 2019, 35(4): 116-122.
[13] PIERSON C, CAUWERTS C, BODART M, et al.Tutorial: luminance maps for daylighting studies from high dynamic range photography[J]. LEUKOS, 2020, 17(2): 1-30.
[14] 李峥嵘, 杜澎磊, 朱晗, 等. 办公建筑遮阳调节预测逻辑的探讨[J]. 建筑科学, 2018, 34(10): 51-57.
LI Z R, DU P L, ZHU H, et al.Discussion on the prediction logit of shade manipulation in office buildings[J]. Building science, 2018, 34(10): 51-57.
[15] HESCHONG L, WYMELENBERG V D, KEVEN A, et al.Approved method: IES spatial daylight autonomy (sDA) and annual sunlight exposure (ASE)[M]. New York: IES-Illuminating Engineering Society, 2012: 1-23.
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