Predictive Simulation-Based Lighting and Shading Systems Control in Buildings

Ardeshir Mahdavi

doi:10.1007/s12273-008-8101-4

Building Simulation 2008, 1(1): 25-35 https://doi.org/10.1007/s12273-008-8101-4

Research Article | Issue | Published: 01 March 2008

Predictive Simulation-Based Lighting and Shading Systems Control in Buildings

Show Author's Information Hide Author's Information Ardeshir Mahdavi(

)

Department of Building Physics and Building Ecology, Vienna University of Technology, Karlsplatz 13, 1040 Vienna, Austria

Keywords:

simulation, calibration, control, lighting, shading, sky luminance mapping

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Mahdavi A. Predictive Simulation-Based Lighting and Shading Systems Control in Buildings. Building Simulation, 2008, 1(1): 25-35. https://doi.org/10.1007/s12273-008-8101-4

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Abstract

This paper presents a prototypically implemented daylight-responsive lighting and shading systems control in buildings that makes use of real-time sensing and lighting simulation. This system can control the position of window blinds and the status of the luminaires. It operates as follows: (1) at regular time intervals, the system considers a set of candidate control states for the subsequent time step; (2) these alternatives are then virtually enacted via a lighting simulation application that receives input data from a self-updating model of sky (luminance distribution maps obtained via calibrated digital photography), room, and occupancy; (3) the simulation results are compared and ranked according to the preferences (objective function) specified by the occupants and/or facility manager to identify the candidate control state with the most desirable performance.

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Predictive Simulation-Based Lighting and Shading Systems Control in Buildings

Show Author's information Hide Author's Information Ardeshir Mahdavi(

)

Department of Building Physics and Building Ecology, Vienna University of Technology, Karlsplatz 13, 1040 Vienna, Austria

Abstract

Keywords: simulation, calibration, control, lighting, shading, sky luminance mapping

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Received: 05 November 2007

Revised: 07 January 2008

Accepted: 15 January 2008

Published: 01 March 2008

Issue date: March 2008

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Acknowledgements

The research presented in this paper was supported, in part, by two grants from the Austrian Science Foundation (FWF), project numbers P15998-N07 and L219-N07. The author gratefully acknowledges the contributions of Bojana Spasojević, particularly with regard to data collection and option testing as related to development of the calibration procedure for sky luminance mapping.