Studi Mekanisme Kinetik dengan Parametrik Camshaft pada Selubung Bangunan Adaptif
Keywords:adaptive building envelope, camshaft mechanism, energy efficiency, kinetic building
Adaptation is essential to manage the problem of climate change. In order to meet the challenge, this paper proposes an adaptive building envelope system that can optimize its configuration by responding environmental changes to achieve new levels of sustainable performance and energy efficiency. Most current adaptive building envelope uses kinetic techniques make its formation transformable. However, the use of kinetic components such as a large amount of interactive motorized system that requires electrical power may also
cause further decrease the building energy efficiency. This paper proposes a camshaft mechanism system for adaptive building envelope that uses less motors, controllers, and sensors. This system uses pre-programmed analysis data of daily solar radiation changes to parametrically drive the number of rotation phase and length of nose (Lobe Lift) that generates the shape of camshaft. The camshaft then controls the values of opening and closing of the building envelope components. The advantages of this system are less energy consumption, less maintenance and lower cost since it uses fewer motors, controllers and wiring. In conclusion, this paper has developed a prototypical tool that facilitates a new approach to energy-efficient kinetic buildings.
Hansanuwat, R. (2010). Kinetic Facades as Environmental Control Systems: Using Kinetic Facades to Increase Energy Efficiency and Building Performance in Office Buildings. Tesis tidak
diterbitkan, University of Southern California.
J. Wang dan J. Li. (2010). Bio-inspired kinetic envelope for building energy efficiency based on parametric design of building information modeling. Power and Energy Engineering Conference, IEEE.
J. Wang, J. Li, X. Chen, (2010). Parametric design based on building information modeling for sustainable buildings. International Conference on Challenges in Environmental Science and
Computer Engineering, IEEE.
Johnson, J.K. dan Payne, A. (2010). Firefly Primer – Firefly Version 1.003.
Mehlhoff, B. (2011). Understanding Camshaft. Diakses Oktober 2012 dari http://tinyurl.com/7zjlb6z.
Ochoa, C.E., Capeluto, I.G. (2008). Strategic decision- making for
intelligent buildings: Comparative impact of passive design strategies and active features in a hot climate. Building and Environment, 43, 829–1839.
Skavara, M.E. (2009). Learning Emergence, Adaptive Cellular Automata Façade Trained by Artificial Neural Networks. Tesis tidak diterbitkan, Bartlett UCL.
Sullivan, C.C. (2006). Robo buildings: Pursuing the interactive envelope. Architectural Record, 0003858X, 194, issue 4.
Tzempelikos, T. (2007). Integration of dynamic facades with other building systems. Automated Buildings Magazine, May.
Wilson, A. (2002). Machines, power and the ancient economy. The Journal of Roman Studies, 92, 1 – 32.
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