id |
ijac201210302 |
authors |
Rossi, Dino; Zoltán Nagy, Arno Schlueter |
year |
2012 |
title |
Adaptive Distributed Robotics for Environmental Performance, Occupant Comfort and Architectural Expression |
source |
International Journal of Architectural Computing vol. 10 - no. 3, 341-359 |
summary |
The integration of adaptive distributed robotics in architectural design has the potential to improve building energy performance while simultaneously increasing occupant comfort. In addition, conceiving buildings as dynamic systems with the ability to adapt to the changing environments in which they exist, opens new aesthetic possibilities for designers. As the façade of a building is a common place to address issues of energy performance and occupant comfort, this paper presents a first prototype of an adaptive solar envelope (ASE). Its functions are to provide distributed shading, solar power generation through integrated photovoltaics, and daylight distribution. We describe the interdisciplinary design process, and illustrate the architectural possibilities that arise from a distributed systems approach. The ASE is expanded to work in parallel with an adaptive artificial lighting element. Rather than being preprogrammed, the systems adapt their behavior through interaction with the environment and building occupants. This adaptation to the user's wishes is demonstrated successfully for the artificial light controller. We argue that with presently available technology and an increased exposure of architecture students and practitioners to adaptive design techniques, adaptive architectures will soon become a regular element of the built environment. |
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|
Abdallah, S. Nijmeh, S. (2004)
Two axes sun tracking system with PLC control
, Energy Conservation & Management, vol. 45, pp. 1931-1939
|
|
|
|
Braitenberg,V (1984)
Vehicles: Experiments in Synthetic Psychology
, MIT Press, Cambrige, MA
|
|
|
|
Brand, S. (1994)
How Buildings Learn:What Happens After They’re Built
, Viking Penguin, New York, USA
|
|
|
|
Chan, M., Estève, D., Escriba, C., Campo, E. (2008)
A review of smart homes – Present state and future challenges
, Computer Methods and Programs in Biomedicine 91, pp. 55-81
|
|
|
|
European Commission (2006)
Action Plan for Energy Efficiency: Realising the Potential
, Communication from the Commission, Brussels
|
|
|
|
Fox, M., Kemp, M. (2009)
Interactive Architecture
, Princeton Architectural Press, New York, NY
|
|
|
|
Fox, M. (2010)
Catching up with the Past:A Small Contribution to a Long History of Interactive Environments
, Bier, H., Knight,T., eds., FOOTPRINT, Digitally-Driven Architecture, Spring, 2010, pp. 5-17
|
|
|
|
Greenfield, A. (2006)
Everyware:The dawning age of ubiquitous computing
, New Riders, Berkeley, CA USA
|
|
|
|
Hausladen, G, de Saldanha, M., Liedl, P (2006)
ClimateSkin
, Birkhäuser Verlag AG, Berlin
|
|
|
|
Itard, L., Meijer, F.,Vrins, E., Hoiting, H. (2008)
Building Renovation and Modernisation in Europe: State of the Art Review
, TU Delft
|
|
|
|
Knaack, U., Klein,T., Bilow, M.,Auer,T (2007)
Facades: Principles of Construction
, Birkhäuser Verlag AG, Berlin
|
|
|
|
Mozer, M., Miller, D. (1998)
Parsing the stream of time:The value of event-based segmentation in a complex real-world control problem
, Adaptive Processing of Sequences and Data Structures, vol. 1387, pp. 370–388
|
|
|
|
Mozer, M. (1998)
The neural network house:An environment that adapts to ist inhabitants
, Proceedings of the AAAI Spring Symposium Intelligent Environments
|
|
|
|
Mozer, M. (1999)
An intelligent environment must be adaptive
, Intelligent Systems and their Applications, IEEE, vol. 14, no. 2, pp. 11 –13
|
|
|
|
Nagy, Z., Rossi, D., Schlueter, A. (2012)
Sustainable Architecture and Human Comfort through Adaptive Distributed Systems
, Proceedings of the IEEE International Conference On Pervasive Computing and Communications (PerCom), Lugano, Switzerland
|
|
|
|
Schlueter, A.,Thesseling, F. (2009)
Building information model based exergy/energy performance assesment in early design stages
, Automation in Construction,Volume 18, Issue 2, March 2009, pp. 153-163
|
|
|
|
Sutton, R.S., Barto, A.G. (1998)
Reinforcement Learning: An Introduction
, MIT Press
|
|
|
|
Watkins, C., Dayan, P. (1992)
Technical note: Q-learning
, Machine Learning, vol. 8, pp. 279-292
|
|
|
|
Zuk,W., Clark, R.H. (1970)
Kinetic Architecture
, Litton Educational Publishing, Inc.
|
|
|
|
last changed |
2019/05/24 09:55 |
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