Facades for Achieving Visual Comfort: High Performance Computing
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Submitted
March 30, 2019
Published
March 30, 2019
Keywords:
-
Visual comfort, kinetic Facades, optimization, digital tools
Abstract
Within the last few decades, many digital technologies have been integrated to the field of architecture. This in turn has developed a number of architectural trends based on these revolutionary changes. Kinetic skin is one of these trends that is directly related to visual performance and comfort, an important aspect. The feeling of comfort is related to the sense organs network; i.e. the eyes, ears, nose, tactile sensors, heat sensors and brain. Visual sensation is the most dominant one in human perception since the eye contains two thirds of the nerve fibers within human central nervous system.
The use of kinetic facades for achieving visual comfort in spaces has been recently the subject of many researches, where various aspects have been explored. However, this paper will attempt to review these researches while identifying gaps and potential for future research.
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References
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2. Barozzi, M., Lienhard, J., Zanelli, A., & Monticelli, C. (2016). The Sustainability of Adaptive Envelopes: Developments of Kinetic Architecture. Procedia Engineering, 155, 275-284. doi: 10.1016/j.proeng.2016.08.029
3. El-Dbaa, R. (2016). The Use of Kinetic Facades in Enhancing Daylight Performance for Office Buildings. Master Degree. Arab Academy for Science, Technology and Maritime Transport.
4. Elghazi, Y., & Mahmoud, A. (2016). Origami Exploration: A Generative Parametric Technique For kinetic cellular façade to optimize Daylight Performance. Shape, form and geometry, Applications, 2.
5. Eltaweel, A., & Su, Y. (2017). Controlling venetian blinds based on parametric design; via implementing Grasshopper’s plugins: A case study of an office building in Cairo. Energy and Buildings, 139, 31-43. doi: 10.1016/j.enbuild.2016.12.075
6. EnergyPlus. (2018). EnergyPlus. Retrieved from https://energyplus.net/
7. Evangelos, D. and David, C. (2005). Daylighting Simulation: Comparison of Softwares for Architect's Utilization. In: Ninth International IBPSA Conference. [online] Available at: http://www.ibpsa.org/proceedings/bs2005/bs05_0183_190.pdf [Accessed 23 Jun. 2018].
8. Fouad, S. (2012). Design Methodology Kinetic Architecture (Master of science). Alexandria University.
9. Gadelhak, M., Lang, W., & Petzold, F. (2017). A Visualization Dashboard and Decision Support Tool for Building Integrated Performance Optimization. In ShoCK- Sharing Computational Knowledge. Rome, Italy. Retrieved from https://www.researchgate.net/publication/320057576_A_Visualization_Dashboard_and_Decision_Support_Tool_for_Building_Integrated_Performance_Optimization
10. He, Y., Schnabel, M., Chen, R. and Wang, N. (2017). A Parametric Analysis Process For Daylight Illuminance. In: 22nd International Conference of the Association for Computer Aided Architectural Design Research in Asia (CAADRIA). Hong King, pp.417-425.
11. Horváth, I 2000 'Conceptual design: Inside and outside', Proceedings of the 2nd International Seminar and Workshop on Engineering Design in Integrated Product Development, pp. 63-72.
12. Jenkins, D., & Newborough, M. (2007). An approach for estimating the carbon emissions associated with office lighting with a daylight contribution. Applied Energy, 84(6), 608-622. doi: 10.1016/j.apenergy.2007.02.002
13. Katsifaraki, A., Bueno, B., & Kuhn, T. (2017). A daylight optimized simulation-based shading controller for venetian blinds. Building and Environment, 126, 207-220. doi: 10.1016/j.buildenv.2017.10.003
14. Kim, J. (2013). Adaptive façade design for the daylighting performance in an office building: the investigation of an opening design strategy with cellular automata. International Journal of Low-Carbon Technologies, 10(3), pp.313-320. doi:10.1093/ijlct/ctt015
15. Liu, Y. (2012). A Study on Perception of Daylight Shadows and Visual Comfort in Library Reading Areas. In: American Solar Energy Society. Oregon.
16. Meyboom, A., Johnson, G., & Wojtowicz, J. (2011). Architectronics: Towards a Responsive Environment. International Journal of Architectural Computing, 9(1), 77-98. doi: 10.1260/1478-0771.9.1.77
17. Rossi, D., Nagy, Z. and Schlueter, A. (2012). Adaptive Distributed Robotics for Environmental Performance, Occupant Comfort and Architectural Expression. International Journal of Architectural Computing,10(3), pp.341-359.
18. Sabry, H., Sherif, A., Gad Elhak, M., & Rakha, T. (2012). External Perforated Solar Screen Parameters and Configurations: Daylighting Performance of Screen Axial Rotation and Opening Proportion in Residential Desert Buildings. In 14th International Conference on Computing in Civil and Building Engineering. Moscow,Russia.
19. Tomassoni, R., Galetta, G., & Treglia, E. (2015). Psychology of Light: How Light Influences the Health and Psyche. Psychology, 06(10), 1216-1222. doi: 10.4236/psych.2015.610119
20. Varendorff, A., & Garcia-Hansen, V. (2012). Building Envelope: Performance optimization processes for a daylight responsive architecture. In 28th Conference, Opportunities, Limits & Needs Towards an Environmentally responsible architecture. Peru.
21. Wageh, M., & Gadehlak, M. (2017). Optimization of Facade Design for Daylighting and View to-Outside: A case study in Lecco, Lombardy, Italy. Draft, 1-9.
22. Yoo, S. H. & Manz, H. (2011). Available remodeling simulation for a BIPV as a shading device. Solar Energy,95(1), pp. 394-397
23. Zboinska, M., Cudzik, J., Juchnevic, R., & Radziszewski, K. (2015). A Design Framework and a Digital Toolset Supporting the Early-Stage Explorations of Responsive Kinetic Building Skin Concepts. Smart and responsive design,2, pp.715-725.
Authors
Belok, F., Rabea, M., Hanafi, M., & El Bastawissi, I. (2019). Facades for Achieving Visual Comfort: High Performance Computing. Environmental Science & Sustainable Development, 4(1), 1–12. https://doi.org/10.21625/essd.v4i1.486
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