Parametric Approach for Multi-Objective Optimization for Daylighting and Energy Consumption in Early Stage Design of Office Tower in New Administrative Capital City of Egypt

Ahmed Mohamed Yousef Toutou (1)
(1) Master Student in Alexandria University, B.Sc. Mansoura University , Egypt

Abstract

In the last few years, great improvements have been achieved in building optimization methods. Mustapha Sadeghipour Roudasri and others found new tools ” Ladybug, Honeybee and Butterfly” which could gather many simulation engines and visualization tools ” Energyplus, OpenStudio, Radiance, Daysim, CFD, OpenFOAM, etc ”. Consequently, These simulation engines will integrate with parametric modeling in Grasshopper and multiobjective optimization through Octopus plug-in to form an early stage parametric optimization framework in one canvas. This paper aims at finding the suitable plane shape and building configurations for multi-objective optimization to the daylighting levels and energy consumption of office tower building in the new administrative capital city in Egypt through parametric based optimization method. One of the most commonly used plan shapes of these types of buildings was studied. This shape and many building configurations ”WWR, window material, wall material and shading devices” were parametrically modeled. These Parameters will form many tradeoffs which will be simulated and optimized by the previous framework. Spatial Daylight Autonomy ”SDA300/50%” is examined to optimize Daylighting while Energy Use Intensity ” EUI” is used for energy consumption optimization. Multi-Objective Optimization was performed by genetic algorithms via Octopus plug-in. The near optimum design for plan shape and building configuration to balance between daylighting and energy consumption is achieved and will be a reference model for office tower buildings in this zone in Egypt which is under rapid development. The framework used in this study will guide designers to find effective solutions for early-stage design of office building in one canvas without any conflict between several engines and scripts.

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References

1. Baumgartner, U., Baumgartner, U., Magele, C., Magele, C., Renhart, W., & Renhart, W. (2004). Pareto
Optimality and Particle Swarm Optimization. IEEE TRANSACTIONS ON MAGNETICS, 40(2), 1172–1175. https://doi.org/10.1109/TMAG.2004.825430
2. El Daly, H. M. T. (2014). Automated fenestration allocation as complying with LEED rating system. Alexandria Engineering Journal, 53(4), 883–890. https://doi.org/10.1016/j.aej.2014.09.011
3. Elghazi, Y., Wagdy, A., Mohamed, S., & Hassan, A. (2014). DAYLIGHTING DRIVEN DESIGN : OPTIMIZING KALEIDOCYCLE FACADE FOR HOT ARID CLIMATE. In Fifth German-Austrian IBPSA Conference RWTH Aachen University (pp. 314–321). Aachen.
4. Konis, K., Gamas, A., & Kensek, K. (2016). Passive performance and building form: An optimization
framework for early-stage design support. Solar Energy, 125, 161–179. https://doi.org/10.1016/j.solener.2015.12.020
5. Lin, S. H. E., & Gerber, D. J. (2014). Designing-in performance: A framework for evolutionary energy
performance feedback in early stage design. Automation in Construction, 38, 59–73. https://doi.org/10.1016/j.autcon.2013.10.007
6. Musleh, M. A. M. (2012). Parametric Design Optimization in Sustainable Urban Design : In Hot Climate.
7. Nguyen, A.-T., Reiter, S., & Rigo, P. (2014). A review of simulation-based optimization methods applied to building performance analysis. Applied Energy, 113, 1043–1058. https://doi.org/10.1016/j.apenergy.2013.08.061
8. Østergard, T., Jensen, R. L., & Maagaard, S. E. (2016). Building simulations supporting decision making in early design - A review. Renewable and Sustainable Energy Reviews, 61, 187–201. https://doi.org/10.1016/j.rser.2016.03.045
9. Qingsong, M., & Fukuda, H. (2016). Parametric Office Building for Daylight and Energy Analysis in the
Early Design Stages. Procedia - Social and Behavioral Sciences, 216, 818–828. https://doi.org/10.1016/j.sbspro.2015.12.079
10. Roudsari, M. S., Pak, M., Smith, A., & Gordon Gill Architecture. (2013). Ladybug: a Parametric Environmental Plugin for Grasshopper To Help Designers Create an Environmentally-Conscious Design. 13th Conference of International Building Performance Simulation Association, 3129–3135. Retrieved from http://www.ibpsa.org/proceedings/bs2013/p 2499.pdf
11. SIS. (2017). New Administrative Capital. Retrieved August 20, 2017, from http://www.sis.gov.eg/section/352/5238?lang=en-us
12. Suyoto, W., Indraprastha, A., & Purbo, H. W. (2015). Parametric Approach as a Tool for Decision-making
in Planning and Design Process. Case study: Office Tower in Kebayoran Lama. Procedia - Social and
Behavioral Sciences, 184(August 2014), 328–337. https://doi.org/10.1016/j.sbspro.2015.05.098
13. Turrin, M., Von Buelow, P., Kilian, A., & Stouffs, R. (2012). Performative skins for passive climatic comfort: A parametric design process. Automation in Construction, 22(May), 36–50. https://doi.org/10.1016/j.autcon.2011.08.001
14. USGBC, L. (2013). US Green Building Council. Retrieved August 28, 2017, from https://www.usgbc.org/leed
15. Vierlinger, R., Zimmel, C., & Schneider, G. (2013). Octopus, Version 0.1. Retrieved May 1, 2013, from www.grasshopper3d.com/group/octopu
16. Wagdy, A., & Fathy, F. (2015). A parametric approach for achieving optimum daylighting performance
through solar screens in desert climates. Journal of Building Engineering, 3, 155–170. https://doi.org/10.1016/j.jobe.2015.07.007

Authors

Ahmed Mohamed Yousef Toutou
Arch.a[email protected] (Primary Contact)
Toutou, A. M. Y. (2019). Parametric Approach for Multi-Objective Optimization for Daylighting and Energy Consumption in Early Stage Design of Office Tower in New Administrative Capital City of Egypt. The Academic Research Community Publication, 3(1), 1–13. https://doi.org/10.21625/archive.v3i1.426

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