| id |
ascaad2021_153 |
| authors |
Valitabar, Mahdi; Mohammadjavad Mahdavinejad, Henry Skates, Peiman Pilechiha |
| year |
2021 |
| title |
Data-Driven Design of Adaptive Façades: View, Glare, Daylighting and Energy Efficiency |
| source |
Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 699-711 |
| summary |
This paper attempts to increase occupants’ view to outside through Adaptive facades by employing a parametric design method. Reaching a balance between occupants’ requirements and the building energy criteria is the main objective of this research. To this end, a multi-objective optimization is done to generate some optimum models. The method, indeed, was used to optimize the shading size of a dynamic vertical shading system utilized on the south façade of a single office room located in Tehran. The shading system was defined by five parameters and a combination of Cut-off and a glare protection strategy is used to control dynamic shadings. The size-optimisation objectives are minimum DGP, cooling load and maximum illuminance, which were analysed by Ladybug Tools. Then, Octopus was used for multi-objective optimistion to find new optimum forms. Along with the openness factor, a new index is presented to evaluate the outside view in multiple louver shading systems, named “Openness Curvature Factor” (OCF). Thanks to this method, the size and shape of some optimum generated models were modified to increase the amount of OCF. Following that the Honeybee Plus is used to simulate the visual performance of modified models which shows a significant improvement. The modified models could provide about 4 times more outside view than generated models whilst keeping the DGP value in imperceptible range. Geometric or even complex non-geometric shading forms can be studied by this method to find optimum adaptive facades. |
| series |
ASCAAD |
| email |
mahdi.valitabar@gmail.com |
| full text |
 file.pdf (951,903 bytes) |
| references |
Content-type: text/plain
|
Adriaenssens S, Rhode-Barbarigos L, Kilian A, Baverel O, Charpentier V, Horner M, Buzatu D. (2014)
 Dialectic form finding of passive and active shading enclosures
, Energies, Vol. 7(8), pp.5201-5220.https://doi.org/10.3390/en7085201
|
|
|
|
|
Aelenei D, Aelenei L, Vieira Cp. (2016)
Adaptive façade: concept, application, research questions
, Proceedings of the 4thInternational Conference on Solar Heating and Cooling for Building and Industry (SHC 2015), Vol.91, pp.269-275.https://doi.org/10.1016/j.egypro.2016.06.218
|
|
|
|
|
Ahmed Mahmoud,A. And Elghazi, Y. (2016)
Parametric-based design for kinetic facades to optimize daylight performance: comparing rotation and translation kinetic motion for hexagonal façade patterns
, Solar Energy,Vol. 126,pp. 111-127.https://doi.org/10.1016/j.solener.2015.12.039
|
|
|
|
|
Bian,Y. And Luo,T. (2017)
Investigation of visual comfort metrics from subjective responses in china: a study in offices with daylight
, Building and Environment, Vol.123, pp. 661-671.https://doi.org/10.1016/j.buildenv.2017.07.035
|
|
|
|
|
Doe, R. And Aitchison, M. (2015)
Multi-criteria Optimization in the Design of Modular Homes, From Theory to Practice
, Proceeding of eCAADe Conference 33, pp. 295-304
|
|
|
|
|
Fasi, M.A. And Budaiwiw, I.M. (2015)
Energy performance of windows in office building considering daylight integration and visual comfort in hot climates
, Energy and Building, Vol. 108, pp. 307-316.https://doi.org/10.1016/j.enbuild.2015.09.024
|
|
|
|
|
Hee, W., Alghoul, M., Bakhtyar, B., Elayeb, O., Shameri, M., Alrubaih, M., & Sopian, K. (2015)
The role of window glazing on daylighting and energy saving in buildings
, Renewable and Sustainable Energy Reviews, Vol. 42, pp. 323-343.https://doi.org/10.1016/j.rser.2014.09.020
|
|
|
|
|
Jakubiec, A. And Reinhart, C. (2010)
The use of Glare Metrics in Design of Daylit Space; Recommendation for Practice
, Paper presented at the 9th international Radiance Workshop
|
|
|
|
|
Konstantzos, I., Chan, C.Seibold J., Tzempelikos, A., W. Proctor, R., & Protzman, J. (2015)
View clarity index: A new metric to evaluate clarity of view through window shades
, Building and Environment, Vol. 90, pp. 206-214. DOI:10.1016/j.buildenv.2015.04.005
|
|
|
|
|
Mardaljevic, J., Anderson, M., Roy, N., & Christoffersen, J. (2012)
Daylighting metrics: is there a relation between useful daylight illuminance and daylight glare probability?
, Building Simulation and Optimization Conference, IBPSA2012, England, Loughborough, UK
|
|
|
|
|
Nadiri, P., Mahdavinejad, M., & Pilechiha, P. (2019)
Optimization of Building Façade to Control Daylight Excessiveness and View to Outside
, Journal of Applied Engineering Sciences,Vol.9No 2,pp.161-168. https://doi.org/10.2478/jaes-2019-0022
|
|
|
|
|
Nagy, Z., Svetozarevic, B., Jayathissa, P., Begle, M., Hofer, J., Lydon, G., & Schlueter A. (2016)
The Adaptive Solar Façade; from concept to prototypes
, Frontiers of Architectural Research, Vol. 5 No. 2, pp. 143-156. https://doi.org/10.1016/j.foar.2016.03.002
|
|
|
|
|
Park, Cs., Augenbroe, G., Messadi, T. (2003)
Daylighting optimization in smart façade systems
, Proceedings of the Eighth International IBPSA Conference
|
|
|
|
|
Pilechiha, P., Mahdavinejad, M., & Beizaee, A. (2020)
Simulation Assisted Design Exploration to Evaluate View and Energy Performance of Window Shading
, Howard, B., Oraiopoulos, A., & Brembilla, E, 5thIBPSA-England Conference on Building Simulation and Optimization, IBPSA-England
|
|
|
|
|
Pilechiha, P., Mahdavinejad, M., Rahimian, F. P., Carnemolla, P., & Seyedzadeh, S. (2020)
Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency
, Applied Energy, Vol. 261,114356.https://doi.org/10.1016/j.apenergy.2019.114356
|
|
|
|
|
Valitabar, M., Moghimi, M., Mahdavinejad, M., Pilechiha, P. (2018)
Design optimum Responsive Façade Based on Visual Comfort and Energy Performance
, Fukuda, T., Huang, W., Janssen, P., Crolla, K., & Alhadidi, S. (Ed.), 23rdInternational Conference on Computer-Aided Architectural Design Research inAsia: Learning, Prototyping and Adapting, CAADRIA2, The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Beijing, China, Tsinghua University, 2018, pp. 93-102
|
|
|
|
|
Vera, S., Uribe, D., Bustamante, W., & Molina, G. (2016)
Optimization of a fixed exterior complex fenestration system considering visual comfort and energy performance criteria
, Building and Environment, Vol. 113, pp. 163-174. https://doi.org/10.1016/j.buildenv.2016.07.027
|
|
|
|
|
Wagdy, A., Fathy, F., & Altomonte, S. (2016)
Evaluating the daylight performance of dynamic façade by using new annual climate-based metrics
, 36thInternational Conference on Passive and Low Energy Architecture. Cities, Buildings, People: Towards Regenerative Environment,PLEA 2016, Los Angeles, California, USA
|
|
|
|
|
Wienold, J., Christoffersen, J. (2006)
Evaluation methods and development of a new glare prediction model for daylight environments with the use of CCD cameras
, Energy and Buildings, Vol. 38 No. 7, pp. 743-757.https://doi.org/10.1016/j.enbuild.2006.03.017
|
|
|
|
|
Wortmann, T. (2017)
Opossum: Introducing and Evaluating a Model-based Optimization Tool for Grasshopper
, Janssen, P., Loh, P., Raonic, A., & Schnabel, M.A. (Ed.), 22rdInternational Conference on Computer-Aided Architectural Design Research in Asia: Protocols, flows and Glitches, The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), XI’AN Jiaotong-Liverpool University, Suzhou, China
|
|
|
|
| last changed |
2021/08/09 13:14 |
|
