Paper Conference

Proceedings of Building Simulation 2017: 15th Conference of IBPSA

     

Advanced Insolation Detection Module in Solar Shading Automation

Robert Weitlaner1, David Geisler-Moroder2, Rainer Pfluger3
1HELLA Sonnen- und Wetterschutztechnik Gmbh, Abfaltersbach, Austria
2Bartenbach GmbH, Aldrans, Austria
3Unit for Energy Efficient Building, Leopold Franzens University of Innsbruck, Austria


DOI: https://doi.org/10.26868/25222708.2017.184
Abstract: This work is proposing an approach for controlling solar shading devices under different insolation states solving certain issues of a multisensor network. Disapproval of solar shading automation is caused by false state detection whether a window is not exposed (state 0), directly exposed (state 2) or exposed to sun via specular reflection on nearby structures (state 1). State 1 is never detected by common approaches: A sensor on a roof might detect the sky condition, but cannot provide the current state of each individual window. Multi-sensor networks promise to distinguish between state 0 and 2 based on fuzzy thresholds. Window centered shadow masks for every single window cannot detect state 1. This shortcoming is eliminated by raytracing pre-calculation of the insolation state per time steps. The accuracy of this data was tested on a real case study and the approach will be integrated into building automation by end of 2017.
Pages: 719 - 725
Paper:
BS2017_184