[Zurück]

M. Schuss, R. Zach, K. Orehounig, A. Mahdavi:
"Empirical Evaluation of a predictive Simulation-Based Control Method";
Vortrag: Building Simulation 2011 - IBPSA 2011, Sydney, Australien; 14.11.2011 - 16.11.2011; in: "driving better design through simulation - Proceedings of the 12th Conference of The International Building Performance Simulation Association", V. Soebarto, H. Bennetts, P. Bannister, P.C. Thomas, D. Leach (Hrg.); Konferenzpublikation mit wissenschaftlichem Lektorat, (2011), ISBN: 978-0-646-56510-1; S. 918 - 925.

see english version

This paper presents the implementation of a novel
predictive control approach toward the utilization of
passive cooling in buildings. Five offices in two
office buildings in Austria were used to test this
method. Thereby, numeric simulation was deployed
as an integral part of the control logic to predict
future implications of alternative control options
(alternative positions of windows, shades, etc.) and
identify the best performing control option. A genetic
algorithm was developed to generate a manageable
set of alternative options from the set of all possible
control actions at any given time. The paper
describes the approach and implementation in detail
and presents the results.