Please use this identifier to cite or link to this item:
Title: A Predictive Approach to Intelligent Building Systems Control
Authors: Mahdavi, Ardeshir
Keywords: Building Systems
Predictive Control
Performance Simulation
Passive Cooling
Genetic Algorithms
Issue Date: 17-Nov-2012
Publisher: Konya Technical University Faculty of Architecture and Design
Abstract: This keynote presents the implementation of a novel predictive approach to intelligent building systems control. The implementation specifically pertains to the utilization of passive cooling in buildings. Thereby, numeric simulation is 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 corpus of all possible control actions at any given time. Five rooms in two office buildings in Austria were used to test this method. The paper describes the approach and implementation in detail and presents the results.
Description: 53
Appears in Collections:ICONARCH - International Congress of Architecture and Planning

Files in This Item:
File SizeFormat 
document - 2023-03-31T103607.670.pdf4.82 MBAdobe PDFView/Open
Show full item record

CORE Recommender

Page view(s)

checked on Mar 27, 2023

Google ScholarTM


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.