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Uncertainty of Daylighting Performance of Manual Solar Shades and its Influence on Lighting Energy L&E 28 (2) 2020

Light & Engineering 28 (2)

Volume 28
Date of publication 04/13/2020
Pages 77–84

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Uncertainty of Daylighting Performance of Manual Solar Shades and its Influence on Lighting Energy L&E 28 (2) 2020
Articles authors:
Jian Yao, LiYi Chen, Wu Jin

Jian Yao, Ph.D. and Associate Professor at the department of architecture of Ningbo University. Dr. Yao has many years of experience in studying solar shading performance, daylighting and occupant behaviour

LiYi Chen is a lecturer at the department of architecture of Ningbo University. He has many years of experience in studying architectural design

Wu Jin is a lecturer at the department of architecture of Ningbo University. He has many years of experience in architectural education and architecture design, including commercial buildings, residential buildings, school buildings, etc.

Abstract:
Occupant behaviour significantly influences building energy consumption. This paper is devoted to studies the uncertainty of daylighting performance and lighting energy of manual solar shades on the south facade. A developed stochastic model for manual solar shades was used for co-simulation by BCVTB. Results show that uncertainty of shade action was not suppressed by the shade behaviour model with very weak relationship between different simulation outputs. Uncertainty of daylighting performance is 15.08 % while lighting energy uncertainty is 10.38 %. Although this level of energy uncertainty is not very significant, it influences economic analysis of manual solar shades and therefore, occupant related uncertainty should be taken into consideration when predicting energy performance of manual shades.
References:
1. Yao, J. An investigation into the impact of movable solar shades on energy, indoor thermal and visual comfort improvements // Building and Environment. 2014, #1, pp. 24–32.
2. Yao, J. Determining the energy performance of manually controlled solar shades: A stochastic model based co-simulation analysis // Applied Energy. 2014, #8, pp. 64–80.
3. Yan, D., et al. IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings // Energy and Buildings. 2017, #Supplement C, pp. 258–270.
4. Labat, M. and Attonaty, K. Numerical estimation and sensitivity analysis of the energy demand for six industrial buildings in France // Journal of Building Performance Simulation. 2018, #2, pp. 223–240.
5. Guerra-Santin, O., et al. Mixed methods approach to determine occupants’ behaviour – Analysis of two case studies // Energy and Buildings. 2016. vol 130, pp. 546–566.
6. Haldi, F. and Robinson, D. The impact of occupants’ behaviour on building energy demand // Journal of Building Performance Simulation. 2011 #4, pp. 323–338.
7. Brien, W.O. and Gunay, H.B. Mitigating office performance uncertainty of occupant use of window blinds and lighting using robust design // Building Simulation. 2015, #6, pp. 621–636.
8. Gilani, S., O’Brien, W. and Gunay, H.B. Simulating occupants’ impact on building energy performance at different spatial scales // Building and Environment. 2018. vol 132, pp. 327–337.
9. Reinhart, C.F. Lightswitch-2002: a model for manual and automated control of electric lighting and blinds // Solar Energy. 2004, #1, pp. 15–28.
10. Yao, J., et al. Occupants’ impact on indoor thermal comfort: a co-simulation study on stochastic control of solar shades // Journal of building performance simulation. 2016, #3, pp. 272–287.
11. Yao, J. Daylighting performance of manual solar shades // Light & Engineering. 2018, #1, pp. 99–104.
12. Yao, J., Chow, D. and Chi, Y. Impact of Manually Controlled Solar Shades on Indoor Visual Comfort // Sustainability. 2016, #8, article number 727. 13. Chapman, J., Siebers, P. and Robinson, D. On the multi-agent stochastic simulation of occupants in buildings // Journal of Building Performance Simulation. 2018, #5, pp. 604–621.
14. Robinson, S. Simulation: The Practice of Model Development and Use. 2014, UK: Palgrave Macmillan UK.
15. Prada, A., et al. Uncertainty propagation of material properties in energy simulation of existing residential buildings: The role of buildings features // Building Simulation. 2018, #3, pp. 449–464.
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