Optimization of useful daylight illuminance vs. drag force for vertical shading fins/panels

References

• Acosta, I., M. A. Campano, and J. F. Molina. 2016. Window design in architecture: Analysis of energy savings for lighting and visual comfort in residential spaces. Applied Energy 168:493–506. ISSN 0306-2619, . doi:10.1016/j.apenergy.2016.02.005
   Web of Science ®Google Scholar
• Alzoubi, H. H., and A. H. Al-Zoubi. 2010. Assessment of building façade performance in terms of daylighting and the associated energy consumption in architectural spaces: Vertical and horizontal shading devices for southern exposure facades. Energy Conversion and Management 51 (8):1592–9. doi:10.1016/j.enconman.2009.08.039
   Web of Science ®Google Scholar
• Atzeri, A. M., A. Gasparella, F. Cappelletti, and A. Tzempelikos. 2018. Comfort and energy performance analysis of different glazing systems coupled with three shading control strategies. Science and Technology for the Built Environment 24 (5):545–58. doi:10.1080/23744731.2018.1449517
   Web of Science ®Google Scholar
• Nabeeha, A., K. Mohd, and T. Doris. 2017. Daylight optimization for green office building: A study of west facing window design and configuration. Advanced Science Letters 23:9177–82. doi:10.1166/asl.2017.10050.
   Google Scholar
• Boubekri, M., and J. Lee. 2017. A comparison of four daylighting metrics in assessing the daylighting performance of three shading systems. Journal of Green Building 12 (3):39–53. doi:10.3992/1943-4618.12.3.39
   Web of Science ®Google Scholar
• Bryś, K., and T. Bryś. 2010. Reconstruction of the 217-year (1791-2007) Wrocław air temperature and precipitation series. Bulletin of Geography. Physical Geography Series 3 (1):121–71. doi:10.2478/bgeo-2010-0007
   Google Scholar
• Brzezicki, M. 2020. Serrated and finned glazed facades’ impact on the user’s visual comfort. In Advances in Human Factors in Architecture, Sustainable Urban Planning and Infrastructure: Proceedings of the AHFE 2019 International Conference on Human Factors in Architecture, Sustainable Urban Planning and Infrastructure, ed. J. Charytonowicz and Ch. Falcão, 179–87. Springer. doi:10.1007/978-3-030-20151-7
   Google Scholar
• BS EN. 2007. 15251 Indoor environmental input parameters for design and assessment of energy performance of buildings addressing indoor air quality, thermal environment, lighting and acoustics
   Google Scholar
• Buccolieri, R., M. Sandberg, H. Wigö, and S. D. Sabatino. 2019. The drag force distribution within regular arrays of cubes and its relation to cross ventilation – Theoretical and experimental analyses. Journal of Wind Engineering and Industrial Aerodynamics 189:91–103. doi:10.1016/j.jweia.2019.03.022
   Web of Science ®Google Scholar
• CIBSE. 1999. Lighting Guide 10. Daylighting and window design, CIBSE, ISBN 0-900953-98-5.
   Google Scholar
• CIBSE Lighting Guide/SLL. 2015. LG7 CIBSE. Lighting Guide 7: Office lighting. Chartered Institution of Building Services Engineers, London, ISBN 9781906846589.
   Google Scholar
• Fu, T. S., and E. A. Johnson. 2011. Distributed mass damper system for integrating structural and environmental controls in buildings. Journal of Engineering Mechanics 137 (3):205–13. doi:10.1061/(ASCE)EM.1943-7889.000021
   Web of Science ®Google Scholar
• Gratia, E., and A. De Herde. 2007. The most efficient position of shading devices in a double-skin façade. Energy and Buildings 39 (3):364–73. doi:10.1016/j.enbuild.2006.09.001
   Web of Science ®Google Scholar
• Kaasalainen, T., A. Mäkinen, T. Lehtinen, M. Moisio, and J. Vinha. 2020. Architectural window design and energy efficiency: Impacts on heating, cooling and lighting needs in Finnish climates. Journal of Building Engineering 27:100996. doi:10.1016/j.jobe.2019.100996
   Web of Science ®Google Scholar
• Karlsen, L., P. Heiselberg, I. Bryn, and H. Johra. 2016. Solar shading control strategy for office buildings in cold climate. Energy and Buildings 118:316–28. doi:10.1016/j.enbuild.2016.03.014
   Web of Science ®Google Scholar
• Konstantzos, I., and A. Tzempelikos. 2017. Daylight glare evaluation with the sun in the field of view through window shades. Building and Environment 113:65–77. doi:10.1016/j.buildenv.2016.09.009
   Web of Science ®Google Scholar
• Linney, A. 2008. Maximum luminances and luminance ratios and their impact on users' discomfort glare perception and productivity in daylight offices. Master diss., Victoria University of Wellington.
   Google Scholar
• Lu, Y., H. K. Lin, S. W. Liu, and Y. Q. Xiao. 2019. Nonuniform woven solar shading screens: Shading, mechanical, and daylighting performance. Sustainability 11 (20):5652. doi:10.3390/su11205652
   Web of Science ®Google Scholar
• Manzan, M. 2014. Genetic optimization of external fixed shading devices. Energy and Buildings 72:431–40. doi:10.1016/j.enbuild.2014.01.007
   Web of Science ®Google Scholar
• Mardaljevic, J., M. Andersen, N. Roy, and J. Christoffersen. 2012. Daylighting metrics: Is there a relation between useful daylight illuminance and daylight glare probability? First Building Simulation and Optimization Conference Loughborough, UK 10-11 September 2012.
   Google Scholar
• Mathews, J. H., and K. D. Fink. 2004. Numerical methods using Matlab. 4th ed. London: Pearson; ISBN-13: 978-0130652485
   Google Scholar
• Nabil, A., and J. Mardaljevic. 2005. Useful daylight illuminance: A new paradigm for assessing daylight in buildings. Lighting Research & Technology 37 (1):41–59. doi:10.1191/1365782805li128oa
   Google Scholar
• LG7 CIBSE/SLL. 2005. Lighting Guide 7: Office lighting. Chartered Institution of Building Services Engineers, London.
   Google Scholar
• Palmero-Marrero, A. I., and A. C. Oliveira. 2010. Effect of louver shading devices on building energy requirements. Applied Energy 87 (6):2040–9. doi:10.1016/j.apenergy.2009.11.020
   Web of Science ®Google Scholar
• Peng, W., F. Zhuangbo, and C. Shi-Jie. 2018. Fast and accurate prediction of airflow and drag force for duct ventilation using wall-modeled large-eddy simulation. Building and Environment 141:226–35. doi:10.1016/j.buildenv.2018.05.064
   Web of Science ®Google Scholar
• Peel, M. C., B. L. Finlayson, and T. A. Mcmahon. 2007. Updated world map of the Köppen-Geiger climate classification. Hydrology and Earth System Sciences Discussions 4 (2):439–73. ⟨hal-00298818⟩ doi:10.5194/hessd-4-439-2007
   Google Scholar
• Pilkington Glass Handbook. 2014. Accessed September 15, 2019. https://www.pilkington.com/-/media/pilkington/site-content/poland/trade/downloads/handbook_2014_eng.pdf
   Google Scholar
• Safa, D., S. M. Yacine, N. Zemmouri, and S. Khaled. 2013. A study of optimization of the light shelf system in hot and arid zones. SOLAR 2013 Conference, Including Proceedings of 42nd ASES Annual Conference Proceedings of 38th National Passive Solar Conference, Baltimore, Maryland, April 16–20, 2013.
   Google Scholar
• Souza, P. V. S., D. Girardi, and P. M. C. de Oliveira. 2017. Drag force in wind tunnels: A new method. Physica A: Statistical Mechanics and Its Applications. 467:120–8. doi:10.1016/j.physa.2016.09.049
   Web of Science ®Google Scholar
• Suk, J. Y. 2019. Luminance and vertical eye illuminance thresholds for occupants’ visual comfort in daylight office environments. Building and Environment 148:107–15. doi:10.1016/j.buildenv.2018.10.058
   Web of Science ®Google Scholar
• Sutter, Y., D. Dumortier, and M. Fontoynont. 2006. The use of shading systems in VDU task offices: A pilot study. Energy and Buildings 38 (7):780–9. doi:10.1016/j.enbuild.2006.03.010
   Web of Science ®Google Scholar
• White, F. 2016. Fluid mechanics, 8th ed. New York: McGraw-Hill.
   Google Scholar
• Wibig, J. 2018. Heat waves in Poland in the period 1951–2015: Trends, patterns and driving factors. Meteorol Hydrol Water Management 6:37–45. doi:10.26491/mhwm/78420
   Web of Science ®Google Scholar
• Wienold, J., and J. Christoffersen. 2006. Evaluation methods and development of a new glare prediction model for daylight environments with the use of CCD cameras. Energy and Buildings 38 (7):743–57. doi:10.1016/j.enbuild.2006.03.017
   Web of Science ®Google Scholar
• Wymelenberg, K. V., and M. Inanici. 2016. Evaluating a new suite of luminance-based design metrics for predicting human visual comfort in offices with daylight. Leukos 12:113–38.
   Web of Science ®Google Scholar
• Yan, H., C. Hao, C. S. Cai, X. Guoji, S. Lian, and P. Hu. 2016. Numerical analysis on the difference of drag force coefficients of bridge deck sections between the global force and pressure distribution methods. Journal of Wind Engineering and Industrial Aerodynamics 159:65–79. doi:10.1016/j.jweia.2016.10.004
   Web of Science ®Google Scholar
• Zheng, J. W., Q. H. Tao, and L. Li. 2020. wind pressure coefficient on a multi-storey building with external shading louvers. Applied Sciences 10 (3):1128. Article Number: doi:10.3390/app10031128
   Google Scholar