Analysis of the impact of automatic shading control scenarios on occupant’s comfort and energy load

[en] Building envelopes should be responsive to boundary conditions changing in short-time, daily, or seasonal patterns. To this end, adaptive facades provide the ability to react, or benefit from, outdoor fluctuations and dynamic indoor requirements. On the other hand, the parallel trend of developing new technologies to control their performance, make adaptive facades more applicable to counterbalance both user’s comfort and building energy load. This goal can be met using active control mechanisms, either manually or automatically. Automatic shading controls require indoor/outdoor signal inputs to operate a shading system. However, in the literature, there is no consent on the effectiveness of automatic shading control strategies and all of the studies were investigated within specific environmental conditions. Therefore, this paper aims to compare the most used control functions and their implications on user comfort and energy load in different climate zones. To this end, EnergyPlus was used as a simulation platform to employ Energy Management System (EMS) for linking sensors, actuators to the control logic of adaptive venetian blinds. Then, a brute-force method was performed through Ladybug-tools to conduct 15,390 iterations parametrically. Results showed that climatic conditions impact the shading control scenario significantly, and the optimum scenario was an open-loop algorithm based on direct solar radiation due to the earlier activation of blind closure to block solar radiation while increasing lighting load at the same time.

Disciplines :

Architecture

Author, co-author :

Tabadkani, Amir

Roetzel, Astrid

Xian Li, Hong

Tsangrassoulis, Aris

Attia, Shady ; Université de Liège - ULiège > Département ArGEnCo > Techniques de construction des bâtiments

Language :

English

Title :

Analysis of the impact of automatic shading control scenarios on occupant’s comfort and energy load

Publication date :

15 July 2021

Journal title :

Applied Energy

ISSN :

0306-2619

eISSN :

1872-9118

Publisher :

Elsevier, London, United Kingdom

Volume :

294

Pages :

116904

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://www.sciencedirect.com/science/article/pii/S0306261921003883

Name of the research project :

OccuPant

Available on ORBi :

since 30 April 2021

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Bibliography

IEA. Outlook for energy: a perspective to 2040, 2019. https://corporate.exxonmobil.com/-/media/Global/Files/outlook-for-energy/2019-Outlook-for-Energy_v4.pdf.
Kim, K., Lee, H., Jang, H., Park, C., Choi, C., Energy-saving performance of light shelves under the application of user-awareness technology and light-dimming control. Sustain Cities Soc 44 (2019), 582–596, 10.1016/j.scs.2018.10.005.
Kar, P., Shareef, A., Kumar, A., Harn, K.T., Kalluri, B., Panda, S.K., ReViCEE: a recommendation based approach for personalized control, visual comfort & energy efficiency in buildings. Build Environ 152 (2019), 135–144, 10.1016/j.buildenv.2019.01.035.
Tabadkani, A., Roetzel, A., Li, H.X., Tsangrassoulis, A., Design approaches and typologies of adaptive facades: a review. Autom Constr, 121, 2021, 103450, 10.1016/j.autcon.2020.103450.
Attia, S., Bilir, S., Safy, T., Struck, C., Loonen, R.C.G.M., Goia, F., Current trends and future challenges in the performance assessment of adaptive façade systems. Energy Build 179 (2018), 165–182, 10.1016/j.enbuild.2018.09.017.
Attia, S., Lioure, R., Declaude, Q., Future trends and main concepts of adaptive facade systems. Energy Sci Eng, 2020, 10.1002/ese3.725.
Tabadkani, A., Roetzel, A., Li, H.X., Tsangrassoulis, A., A review of automatic control strategies based on simulations for adaptive facades. Build Environ, 2020, 106801, 10.1016/j.buildenv.2020.106801.
O'Brien, W., Kapsis, K., Athienitis, A.K., Manually-operated window shade patterns in office buildings: a critical review. Build Environ 60 (2013), 319–338, 10.1016/j.buildenv.2012.10.003.
Sadeghi, S.A., Karava, P., Konstantzos, I., Tzempelikos, A., Occupant interactions with shading and lighting systems using different control interfaces: a pilot field study. Build Environ 97 (2016), 177–195, 10.1016/j.buildenv.2015.12.008.
Jain, S., Garg, V., A review of open loop control strategies for shades, blinds and integrated lighting by use of real-time daylight prediction methods. Build Environ 135 (2018), 352–364, 10.1016/j.buildenv.2018.03.018.
Tabadkani, A., Banihashemi, S., Hosseini, M.R., Daylighting and visual comfort of oriental sun responsive skins: a parametric analysis. Build Simul 11 (2018), 663–676, 10.1007/s12273-018-0433-0.
Mukherjee, S., Birru, D., Cavalcanti, D., Shen, E., Patel, M., Closed loop integrated lighting and daylighting control for low energy buildings. Proceedings of the 2010 ACEEE, 2010, 252–269.
Luna-Navarro, A., Loonen, R., Juaristi, M., Monge-Barrio, A., Attia, S., Overend, M., Occupant-facade interaction: a review and classification scheme. Build Environ, 2020, 106880, 10.1016/j.buildenv.2020.106880.
Reinhart, C.F., Voss, K., Monitoring manual control of electric lighting and blinds. Light Res Technol 35:3 (2003), 243–258, 10.1191/1365782803li064oa.
Park, J.Y., Ouf, M.M., Gunay, B., Peng, Y., O'Brien, W., Kjærgaard, M.B., et al. A critical review of field implementations of occupant-centric building controls. Build Environ, 165, 2019, 106351, 10.1016/j.buildenv.2019.106351.
Evola, G., Gullo, F., Marletta, L., The role of shading devices to improve thermal and visual comfort in existing glazed buildings. Energy Procedia 134 (2017), 346–355, 10.1016/j.egypro.2017.09.543.
Bülow-Hübe, H., Solar shading and daylight redirection. 2007, Lund University, Architecture and Built Environment, Lund.
Al Touma, A., Ouahrani, D., Shading and day-lighting controls energy savings in offices with fully-Glazed façades in hot climates. Energy Build. 151 (2017), 263–274, 10.1016/j.enbuild.2017.06.058.
Mahdavi A, Dervishi S. Exploring the energy performance of simulation-powered lighting and shading systems controls in buildings; 2011.
Babu, S., Zhou, J., Wan, M.P., Lamano, A.S., Sarvaiya, J.N., Zhang, Z., et al. Investigation of an integrated automated blinds and dimmable lighting system for tropical climate in a rotatable testbed facility. Energy Build 183 (2019), 356–376, 10.1016/j.enbuild.2018.11.007.
Yun, G.Y., Park, D.Y., Kim, K.S., Appropriate activation threshold of the external blind for visual comfort and lighting energy saving in different climate conditions. Build Environ 113 (2017), 247–266, 10.1016/j.buildenv.2016.11.021.
Sharma, L., Kishan Lal, K., Rakshit, D., Evaluation of impact of passive design measures with energy saving potential through estimation of shading control for visual comfort. J Build Phys 42:3 (2017), 220–238, 10.1177/1744259117742989.
Katsifaraki, A., Bueno, B., Kuhn, T., A daylight optimized simulation-based shading controller for venetian blinds. Build Environ 126 (2017), 207–220, 10.1016/j.buildenv.2017.10.003.
Bustamante, W., Uribe, D., Vera, S., Molina, G., An integrated thermal and lighting simulation tool to support the design process of complex fenestration systems for office buildings. Appl Energy 198 (2017), 36–48, 10.1016/j.apenergy.2017.04.046.
Kheybari AG, Hoffmann S. exploring the potential of the dynamic facade: simulating daylight and energy performance of complex fenestration systems (Venetian Blinds), BauSIM2018. In: The 7th German-Austrian IBPSA conference, Karlsruhe, Germany; 2018. p. 286–94.
Xiong, J., Tzempelikos, A., Model-based shading and lighting controls considering visual comfort and energy use. Sol Energy 134 (2016), 416–428, 10.1016/j.solener.2016.04.026.
Hoffmann, S., Lee, E.S., McNeil, A., Fernandes, L., Vidanovic, D., Thanachareonkit, A., Balancing daylight, glare, and energy-efficiency goals: an evaluation of exterior coplanar shading systems using complex fenestration modeling tools. Energy Build 112 (2016), 279–298, 10.1016/j.enbuild.2015.12.009.
Attia, S., Navarro, A.L., Juaristi, M., Monge-Barrio, A., Gosztonyi, S., Al-Doughmi, Z., Post-occupancy evaluation for adaptive façades. J Facade Des Eng, 6(3), 2018, 2018, 10.7480/jfde.2018.3.2464.
Tabadkani, A., Valinejad Shoubi, M., Soflaei, F., Banihashemi, S., Integrated parametric design of adaptive facades for user's visual comfort. Automat Construct, 106, 2019, 102857, 10.1016/j.autcon.2019.102857.
Kim, J.H., Park, Y.J., Yeo, M.S., Kim, K.W., An experimental study on the environmental performance of the automated blind in summer. Build Environ 44:7 (2009), 1517–1527, 10.1016/j.buildenv.2008.08.006.
van Moeseke, G., Bruyère, I., De Herde, A., Impact of control rules on the efficiency of shading devices and free cooling for office buildings. Build Environ 42:2 (2007), 784–793, 10.1016/j.buildenv.2005.09.015.
Atzeri, A., Pernigotto, G., Cappelletti, F., Gasparella, A., Tzempelikos, A., Energy performance of shading devices for thermal and lighting comfort in offices. Proceedings of Building Simulation Applications BSA, 2013, Bozen-Bolzano University Press, Bolzano, 233–242.
Tabadkani, A., Tsangrassoulis, A., Roetzel, A., Li, H.X., Innovative control approaches to assess energy implications of adaptive facades based on simulation using EnergyPlus. Sol Energy 206 (2020), 256–268, 10.1016/j.solener.2020.05.087.
Eltaweel, A., Su, Y., Controlling venetian blinds based on parametric design; via implementing Grasshopper's plugins: a case study of an office building in Cairo. Energy Build 139 (2017), 31–43, 10.1016/j.enbuild.2016.12.075.
Nezamdoost, A., Van Den Wymelenberg, K., Mahic, A., Assessing the energy and daylighting impacts of human behavior with window shades, a life-cycle comparison of manual and automated blinds. Autom Constr 92 (2018), 133–150, 10.1016/j.autcon.2018.03.033.
Karlsen, L., Heiselberg, P., Bryn, I., Johra, H., Solar shading control strategy for office buildings in cold climate. Energy Build 118 (2016), 316–328, 10.1016/j.enbuild.2016.03.014.
Karlsen, L., Heiselberg, P., Bryn, I., Occupant satisfaction with two blind control strategies: Slats closed and slats in cut-off position. Sol Energy 115 (2015), 166–179, 10.1016/j.solener.2015.02.031.
Oh, M.H., Lee, K.H., Yoon, J.H., Automated control strategies of inside slat-type blind considering visual comfort and building energy performance. Energy Build 55 (2012), 728–737, 10.1016/j.enbuild.2012.09.019.
da Silva, P.C., Leal, V., Andersen, M., Influence of shading control patterns on the energy assessment of office spaces. Energy Build 50 (2012), 35–48, 10.1016/j.enbuild.2012.03.019.
Zhang, Y., Barrett, P., Factors influencing occupants’ blind-control behaviour in a naturally ventilated office building. Build Environ 54 (2012), 137–147, 10.1016/j.buildenv.2012.02.016.
Reinhart, C.F., Wienold, J., The daylighting dashboard – a simulation-based design analysis for daylit spaces. Build Environ 46:2 (2011), 386–396, 10.1016/j.buildenv.2010.08.001.
Mahdavi, A., Mohammadi, A., Kabir, E., Lambeva, L., Occupants' operation of lighting and shading systems in office buildings. J Build Perform Simul 1:1 (2008), 57–65, 10.1080/19401490801906502.
Inkarojrit, V., Monitoring and modelling of manually-controlled Venetian blinds in private offices: a pilot study. J Build Perform Simul 1:2 (2008), 75–89, 10.1080/19401490802021012.
Tzempelikos, A., Athienitis, A.K., The impact of shading design and control on building cooling and lighting demand. Sol Energy 81:3 (2007), 369–382, 10.1016/j.solener.2006.06.015.
Wienold, J., Dynamic simulation of blind control strategies for visual comfort and energy balance analysis, 2007, Tsinghua University Press, Beijing, 1197–1204.
Newsham, G.R., Manual control of window blinds and electric lighting: implications for comfort and energy consumption. Indoor Environ 3:3 (1994), 135–144, 10.1177/1420326X9400300307.
Inoue, T.P., Kawase, T., Ibamoto, T., Takakusa, S., Matsuo, Y., The development of an optimal control system for window shading devices based on investigations in office buildings. ASHRAE Trans, 1988 http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=6955130.
Goovaerts, C., Descamps, F., Jacobs, V.A., Shading control strategy to avoid visual discomfort by using a low-cost camera: a field study of two cases. Build Environ 125 (2017), 26–38, 10.1016/j.buildenv.2017.08.030.
Olbina, S., Hu, J., Daylighting and thermal performance of automated split-controlled blinds. Build Environ 56 (2012), 127–138, 10.1016/j.buildenv.2012.03.002.
Sutter, Y., Dumortier, D., Fontoynont, M., The use of shading systems in VDU task offices: a pilot study. Energy Build 38:7 (2006), 780–789, 10.1016/j.enbuild.2006.03.010.
Atzeri, A.M., Gasparella, A., Cappelletti, F., Tzempelikos, A., Comfort and energy performance analysis of different glazing systems coupled with three shading control strategies. Sci Technol Built Environ 24:5 (2018), 545–558, 10.1080/23744731.2018.1449517.
Nielsen, M.V., Svendsen, S., Jensen, L.B., Quantifying the potential of automated dynamic solar shading in office buildings through integrated simulations of energy and daylight. Sol Energy 85:5 (2011), 757–768, 10.1016/j.solener.2011.01.010.
de Vries, S.B., Loonen, R.C.G.M., Hensen, J.L.M., Simulation-aided development of automated solar shading control strategies using performance mapping and statistical classification. J Build Perform Simul, 2021, 1–23, 10.1080/19401493.2021.1887355.
Reinhart CF, Jakubiec JA, Ibarra D. Definition of a reference office for standardized evaluations of dynamic façade and lighting technologies; 2013.
Heschong, L., Wymelenberg, V.D., Keven, M., Andersen, N., Digert, L., Fernandes, A., et al. Approved method: IES spatial daylight autonomy (sDA) and annual sunlight exposure (ASE). 2012, IES – Illuminating Engineering Society.
EnergyPlus. EnergyPlus engineering reference. The reference to energyplus calculations, University of Illinois and the Ernest Orlando Lawrence Berkeley National Laboratory; 2013.
ASHRAE-90.1. ANSI/ASHRAE Standard 90.1. Energy standard for buildings except low-rise residential buildings. American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE); 2016.
Loonen, R.C.G.M., Favoino, F., Hensen, J.L.M., Overend, M., Review of current status, requirements and opportunities for building performance simulation of adaptive facades. J Build Perform Simul 10:2 (2017), 205–223, 10.1080/19401493.2016.1152303.
Yan, D., O'Brien, W., Hong, T., Feng, X., Burak Gunay, H., Tahmasebi, F., Mahdavi, A., Occupant behavior modeling for building performance simulation: current state and future challenges. Energy Build 107 (2015), 264–278, 10.1016/j.enbuild.2015.08.032.
Gunay, H.B., O'Brien, W., Beausoleil-Morrison, I., Huchuk, B., On adaptive occupant-learning window blind and lighting controls. Build Res Inform 42:6 (2014), 739–756, 10.1080/09613218.2014.895248.
da Silva, P., Leal, V., Andersen, M., Occupants interaction with electric lighting and shading systems in real single-occupied offices: results from a monitoring campaign. Build Environ 64 (2013), 152–168, 10.1016/j.buildenv.2013.03.015.
da Silva, P.C., Leal, V., Andersen, M., Occupants’ behaviour in energy simulation tools: lessons from a field monitoring campaign regarding lighting and shading control. J Build Perform Simul 8:5 (2015), 338–358, 10.1080/19401493.2014.953583.
Tabadkani, A., Roetzel, A., Li, H.X., Tsangrassoulis, A., A review of occupant-centric control strategies for adaptive facades. Autom Constr, 2020, 103464, 10.1016/j.autcon.2020.103464.
Mardaljevic, J., Heschong, L., Lee, E., Daylight metrics and energy savings. Light Res Technol 41:3 (2009), 261–283, 10.1177/1477153509339703.
Carlucci, S., Causone, F., De Rosa, F., Pagliano, L., A review of indices for assessing visual comfort with a view to their use in optimization processes to support building integrated design. Renew Sustain Energy Rev 47 (2015), 1016–1033, 10.1016/j.rser.2015.03.062.
Tabadkani A. Automated shading control data set - comparative results. In: Data M, editor; 2021. https://doi.org/10.17632/2539k77m86.1.