Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30121
A Biomimetic Approach for the Multi-Objective Optimization of Kinetic Façade Design

Authors: Do-Jin Jang, Sung-Ah Kim

Abstract:

A kinetic façade responds to user requirements and environmental conditions.  In designing a kinetic façade, kinetic patterns play a key role in determining its performance. This paper proposes a biomimetic method for the multi-objective optimization for kinetic façade design. The autonomous decentralized control system is combined with flocking algorithm. The flocking agents are autonomously reacting to sensor values and bring about kinetic patterns changing over time. A series of experiments were conducted to verify the potential and limitations of the flocking based decentralized control. As a result, it could show the highest performance balancing multiple objectives such as solar radiation and openness among the comparison group.

Keywords: Biomimicry, flocking algorithm, autonomous decentralized control, multi-objective optimization.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1315693

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 659

References:


[1] N. B. Hutcheon, CBD-48 Requirements for exterior walls. Canadian Building Digest, Canada Research Council, 1963.
[2] R. C. Loonen, M. Trčka, D. Cóstola, and J. L. M. Hensen, Climate adaptive building shells: State-of-the-art and future challenges. Renewable and Sustainable Energy Reviews, 2013, 25, 483-493.
[3] E. Fricke and A. P. Schulz, Design for changeability (DfC): Principles to enable changes in systems throughout their entire lifecycle. Systems Engineering, 2005, 8.4.
[4] J. Moloney, Designing kinetics for architectural facades: state change. Taylor & Francis, 2011.
[5] M. Fox and M. Kemp, Interactive architecture (Vol. 1). Princeton: Princeton Architectural Press, 2009.
[6] M. Sharaidin, Kinetic facades: towards design for environmental performance. 2014.
[7] W. Ren and R.W. Beard, Distributed consensus in multi-vehicle cooperative control. London: springer, 2008.
[8] https://biomimicry.org/what-is-biomimicry/What Is Biomimicry? – Biomimicry Institute, 2017-09-29
[9] J. Knippers and T. Speck, Design and construction principles in nature and architecture. Bioinspiration & biomimetics, 2012, 7.1: 015002.
[10] Y.J. Grobman and T. P. Yekutiel, Autonomous Movement of Kinetic Cladding Components in Building Facades. In: ICoRD'13. Springer, India, 2013. p. 1051-1061.
[11] G. Beni and J.WANG, Swarm intelligence in cellular robotic systems. In: Robots and Biological Systems: Towards a New Bionics? Springer, Berlin, Heidelberg, 1993. p. 703-712.
[12] C. W. Reynolds, Flocks, herds and schools: A distributed behavioral model. ACM SIGGRAPH computer graphics, 1987, 21.4: 25-34.
[13] J. Kennedy and R. Eberhart, "Particle Swarm Optimization". Proceedings of IEEE International Conference on Neural Networks. IV. pp. 1942–1948. doi:10.1109/ICNN.1995.488968.), 1995.
[14] S. Allen, From object to field+ Architecture and urbanism. Architectural design, 1997, 127: 24-31.
[15] R. Deutsch, 10 Factors Leading Toward Convergence. Convergence: The Redesign of Design, 2017, 20-39.