Numerical study of thermal characteristics of double skin facade system with middle shade

doi:10.1007/s11708-017-0480-8

Front. Energy

2021, Vol. 15

Issue (1) : 222-234 https://doi.org/10.1007/s11708-017-0480-8

RESEARCH ARTICLE

Numerical study of thermal characteristics of double skin facade system with middle shade

Shaoning LIU, Xiangfei KONG(

), Hua YANG, Minchao FAN, Xin ZHAN

School of Energy and Environmental Engineering, Hebei University of Technology, Tianjin 300401, China

Download: PDF(7842 KB) HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

Architectural shade is an effective method for improving building energy efficiency. A new shade combined with the double skin façade (DSF) system, called middle shade (MS), was introduced and developed for buildings. In this paper, a 3D dynamic simulation was conducted to analyze the influence of MS combined with DSF on the indoor thermal characteristics. The research on MS for DSF involves the temperature, the ventilation rate, the velocity distribution of the air flow duct, and the indoor temperature. The results show that the angle and position of the shade in the three seasons are different, and different conditions effectively enhance the indoor thermal characteristics. In summer, the appearance of MS in DSF makes the indoor temperature significantly lower. The indoor temperature is obviously lower than that of the air flow duct, and the temperature of the air flow duct is less affected by MS. The influence of the position of blinds on indoor temperature and ventilation rate is greater than the influence of the angle of blinds. According to the climate characteristics of winter and transition season, in winter, early spring, and late autumn, the indoor temperature decreases with the increase of the position of blinds at daytime, but the opposite is true at night. The results found in this paper can provide reference for the design and use of MS combined with DSF in hot summer and cold winter zone.

Keywords middle shade position thermal characteristics double skin facade

Corresponding Author(s): Xiangfei KONG

Just Accepted Date: 13 June 2017 Online First Date: 12 July 2017 Issue Date: 19 March 2021

Cite this article:

Shaoning LIU,Xiangfei KONG,Hua YANG, et al. Numerical study of thermal characteristics of double skin facade system with middle shade[J]. Front. Energy, 2021, 15(1): 222-234.

URL:

https://academic.hep.com.cn/fie/EN/10.1007/s11708-017-0480-8
https://academic.hep.com.cn/fie/EN/Y2021/V15/I1/222

Fig.1 Geometric model of DSF

Tab.1 Basic geometry size of physical model

Tab.2 Basic parameters of main instruments

Fig.2 Comparison of temperature measured by using instruments and calculated by using formula

Fig.3 ]Variation of solar radiation

Tab.3 Physical parameters of components

Fig.4 Sketch of blinds

Fig.5 Schematics of model room for validation

Fig.6 Comparison of indoor temperature between experiment and simulation results

Fig.7 Comparison of temperature in airflow duct at different angles

Fig.8 Comparison of indoor temperature at different angles

Fig.9 Comparison of temperature at different blind positions in the air flow duct

Fig.10 Comparison of indoor temperature at different blind positions

Tab.4 Airflow duct temperature in different conditions Unit: K

Tab.5 Indoor temperature in different conditions Unit: K

Fig.11 Effect of MS on indoor thermal environment

Tab.6 Maximum and minimum indoor temperatures Unit: K

Fig.12 Comparison of temperature in air flow duct and room

Fig.13 Velocity vector diagram of air flow duct at different blind angles

Fig.14 Hourly air velocity vector at L=0.1m and a blind of angle of 60^o

Fig.15 Distribution of ventilation rate at different blind angles

Fig.16 Distribution of ventilation rate at different blind positions

Tab.7 Statistics of ventilation rate

1	H Poirazis. Blomsterberg Åke, M Wall. Energy simulations for glazed office buildings in Sweden. Energy & Buildings, 2008, 40(7):1161–1170
2	S M Zhang, M A Da-Lei, C Y Ran, L Bai. The influence analysis of the building outside window on the building energy-saving. Journal of Jilin Institute of Architectural & Civil Engineering, 2008, 25(4):49–52
3	Z Y Wang. Research on energy saving for the case analysis of building energy conservation in Xichang city. Advanced Materials Research, 2014, 886: 478–483 https://doi.org/10.4028/www.scientific.net/AMR.886.478
4	L Q Wan, X Y Peng. Comparison of evaluation methods for energy saving effect of building sunshade outside the window. Building Energy & Environment, 2013, 32(2):46–48
5	Y Q Xiao, T Ren. The layout and form design research on BIPV external sun-shading skin in hot-humid areas. Advanced Materials Research, 2011, 374–377: 220–229
6	M Kim, S B Leigh, T Kim, S Cho. A study on external shading devices for reducing cooling loads and improving daylighting in office buildings. Journal of Asian Architecture and Building Engineering, 2015, 14(3): 687–694 https://doi.org/10.3130/jaabe.14.687
7	Q R Zheng, Y F Ding, W U Teng-Fei. Analysis of the energy saving potential of horizontal external shading in Guangzhou buildings. Journal of Guangzhou University, 2008, 7(6):69–72
8	Y Q Cui, N Sun, Y L Peng, Y Wang. Simulation analysis on sun-shading design case of buildings in cold regions. Applied Mechanics & Materials, 2014, 638–640: 1656–1659 https://doi.org/10.4028/www.scientific.net/AMM.638-640.1656
9	X D Zeng, F A Huang. A study of the optimization of building external shading methods in Chongqing area. Advanced Materials Research, 2011, 368–373: 3753–3756
10	L P Sun. The sun-shading technologies of the existing traditional dwellings in China. Advanced Materials Research, 2013, 689: 163–166 https://doi.org/10.4028/www.scientific.net/AMR.689.163
11	Y D He, N P Li, W B Liu, D X Zheng. Building sun-shading in Changsha area. Building Energy Efficiency, 2014, 42(3):60–62
12	Y Ye, P Xu, J Mao, Y Ji. Experimental study on the effectiveness of internal shading devices. Energy and Building, 2016, 111: 154–163 https://doi.org/10.1016/j.enbuild.2015.11.040
13	A Kirimtat, B K Koyunbaba, I Chatzikonstantinou, S Sariyildiz. Review of simulation modeling for shading devices in buildings. Renewable & Sustainable Energy Reviews, 2016, 53: 23–49 https://doi.org/10.1016/j.rser.2015.08.020
14	M V Nielsen, S Svendsen, L B Jensen. Quantifying the potential of automated dynamic solar shading in office buildings through integrated simulations of energy and daylight. Solar Energy, 2011, 85(5): 757–768 https://doi.org/10.1016/j.solener.2011.01.010
15	M David, M Donn, F Garde, A Lenoir. Assessment of the thermal and visual efficiency of solar shades. Building and Environment, 2011, 46(7): 1489–1496 https://doi.org/10.1016/j.buildenv.2011.01.022
16	A A Y Freewan. Impact of external shading devices on thermal and daylighting performance of offices in hot climate regions. Solar Energy, 2014, 102(4): 14–30 https://doi.org/10.1016/j.solener.2014.01.009
17	L Karlsen, P Heiselberg, I Bryn, H JohraSolar shading control strategy for office buildings in cold climate. Energy and Buildings, 2016, 118:316–328
18	H Manz. Total solar energy transmittance of glass double facades with free convection. Energy and Building, 2004, 36(2): 127–136 https://doi.org/10.1016/j.enbuild.2003.10.003
19	E Gratia, A De Herde. The most efficient position of shading devices in a double-skin facade. Energy and Building, 2007, 39(3): 364–373 https://doi.org/10.1016/j.enbuild.2006.09.001
20	C S Park, G Augenbroe, T Messadi, M Thitisawat, N Sadegh. Calibration of a lumped simulation model for double-skin façade systems. Energy and Buildings, 2004, 36(11):1117–1130
21	C S Park, G Augenbroe, N Sadegh, M Thitisawat, T Messadi. Real-time optimization of a double-skin façade based on lumped modeling and occupant preference. Building and Environment, 2004, 39(8): 939–948 https://doi.org/10.1016/j.buildenv.2004.01.018
22	X L Xu, Z Yang. Natural ventilation in the double skin façade with venetian blind. Energy and Building, 2008, 40(8): 1498–1504 https://doi.org/10.1016/j.enbuild.2008.02.012
23	D Saelens, W Parys, J Roofthooft, A T de la Torre. Reprint of “Assessment of approaches for modeling louver shading devices in building energy simulation programs”. Energy & Buildings, 2014, 68(Part C): 799–810
24	V Gavan, M Woloszyn, F Kuznik, J J Roux. Experimental study of a mechanically ventilated double-skin facade with Venetian sun-shading device: a full-scale investigation in controlled environment. Solar Energy, 2010, 84(2): 183–195
25	J Lee, M Alshayeb, J D Chang. A study of shading device configuration on the natural ventilation efficiency and energy performance of a double skin façade. Procedia Engineering, 2015, 118: 310–317 https://doi.org/10.1016/j.proeng.2015.08.432
26	X Kong, S Liu, H Yang, Y Zhong, C Qi. An experimental study of all-season operation strategy for a respiration-type double-layer glass curtain wall system in cold zone of China. Building & Environment, 2015, 97:166–176

[1]	Zhuo LIU, Jianbo LI, Mingming ZHU, Xiaofeng LU, Zhezi ZHANG, Dongke ZHANG. Effect of oil shale semi-coke on deposit mineralogy and morphology in the flue path of a CFB burning Zhundong lignite[J]. Front. Energy, 2021, 15(1): 26-37.
[2]	Neil Stephen LOPEZ, Anthony S.F. CHIU, Jose Bienvenido Manuel BIONA. Decomposing drivers of transportation energy consumption and carbon dioxide emissions for the Philippines: the case of developing countries[J]. Front. Energy, 2018, 12(3): 389-399.
[3]	Heba ALI, N. ISMAIL, M. S. AMIN, Mohamed MEKEWI. Decoration of vertically aligned TiO₂ nanotube arrays with WO₃ particles for hydrogen fuel production[J]. Front. Energy, 2018, 12(2): 249-258.
[4]	Yanlin CHEN,Sihua ZHONG,Miao TAN,Wenzhong SHEN. SiO₂ passivation layer grown by liquid phase deposition for silicon solar cell application[J]. Front. Energy, 2017, 11(1): 52-59.
[5]	Solomon GIWA,Oludaisi ADEKOMAYA,Collins NWAOKOCHA. Potential hybrid feedstock for biodiesel production in the tropics[J]. Front. Energy, 2016, 10(3): 329-336.
[6]	Weiwei ZHANG, Huisheng ZHANG, Ming SU. Fault simulation of boiler heating surface ash deposition in a power plant system[J]. Front Energ, 2011, 5(4): 435-443.
[7]	Xiangsong HOU, Shi YANG, Junfu LU, Hai ZHANG, Guangxi YUE. Effect of circulating ash from CFB boilers on NO and N₂O emission[J]. Front Energ Power Eng Chin, 2009, 3(2): 241-246.
[8]	Xilai ZHANG, Shiping JIN, Suyi HUANG, Guoqing TIAN. Experimental and CFD analysis of nozzle position of subsonic ejector[J]. Front Energ Power Eng Chin, 2009, 3(2): 167-174.
[9]	HUANG Dongping, DING Guoliang, QUACK Hans. Lagrangian simulation of deposition of CO gas-solid sudden expansion flow[J]. Front. Energy, 2008, 2(2): 216-221.
[10]	YAN Jianhua, CHEN Tong, LU Shengyong, LI Xiaodong, GU Yueling, CEN Kefa. Experimental study on low temperature thermal treatment of polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) in fly ash[J]. Front. Energy, 2007, 1(3): 280-284.

Viewed

Full text

Abstract

Cited

Shared

Discussed