Computer modeling of daylight-integrated photocontrol of electric lighting systems

Richard Mistrick; Craig Casey; Ling Chen; Sarith Subramaniam

doi:10.3390/buildings5020449

Computer modeling of daylight-integrated photocontrol of electric lighting systems

Richard Mistrick, Craig Casey, Ling Chen, Sarith Subramaniam

Architectural Engineering

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

This article presents a variety of different approaches to both model and assess the performance of daylight-integrated electric lighting control systems. In these systems, the output of a controlled lighting zone is based on a light sensor reading and a calibrated control algorithm. Computer simulations can consider the simulated illuminance data generated from both the electric lighting system and a daylight delivery system whose performance is addressed using typical meteorological year (TMY) weather data. Photosensor signals and the operation of a control system's dimming algorithms are also included. Methods and metrics for evaluating simulated performance for the purpose of making informed design decisions that lead to the best possible installed system performance are presented.

Original language	English (US)
Pages (from-to)	449-466
Number of pages	18
Journal	Buildings
Volume	5
Issue number	2
DOIs	https://doi.org/10.3390/buildings5020449
State	Published - 2015

All Science Journal Classification (ASJC) codes

Architecture
Civil and Structural Engineering
Building and Construction

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10.3390/buildings5020449

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title = "Computer modeling of daylight-integrated photocontrol of electric lighting systems",

abstract = "This article presents a variety of different approaches to both model and assess the performance of daylight-integrated electric lighting control systems. In these systems, the output of a controlled lighting zone is based on a light sensor reading and a calibrated control algorithm. Computer simulations can consider the simulated illuminance data generated from both the electric lighting system and a daylight delivery system whose performance is addressed using typical meteorological year (TMY) weather data. Photosensor signals and the operation of a control system's dimming algorithms are also included. Methods and metrics for evaluating simulated performance for the purpose of making informed design decisions that lead to the best possible installed system performance are presented.",

author = "Richard Mistrick and Craig Casey and Ling Chen and Sarith Subramaniam",

note = "Publisher Copyright: {\textcopyright} 2015 by the authors.",

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doi = "10.3390/buildings5020449",

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pages = "449--466",

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T1 - Computer modeling of daylight-integrated photocontrol of electric lighting systems

AU - Mistrick, Richard

AU - Casey, Craig

AU - Chen, Ling

AU - Subramaniam, Sarith

PY - 2015

Y1 - 2015

N2 - This article presents a variety of different approaches to both model and assess the performance of daylight-integrated electric lighting control systems. In these systems, the output of a controlled lighting zone is based on a light sensor reading and a calibrated control algorithm. Computer simulations can consider the simulated illuminance data generated from both the electric lighting system and a daylight delivery system whose performance is addressed using typical meteorological year (TMY) weather data. Photosensor signals and the operation of a control system's dimming algorithms are also included. Methods and metrics for evaluating simulated performance for the purpose of making informed design decisions that lead to the best possible installed system performance are presented.

AB - This article presents a variety of different approaches to both model and assess the performance of daylight-integrated electric lighting control systems. In these systems, the output of a controlled lighting zone is based on a light sensor reading and a calibrated control algorithm. Computer simulations can consider the simulated illuminance data generated from both the electric lighting system and a daylight delivery system whose performance is addressed using typical meteorological year (TMY) weather data. Photosensor signals and the operation of a control system's dimming algorithms are also included. Methods and metrics for evaluating simulated performance for the purpose of making informed design decisions that lead to the best possible installed system performance are presented.

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JO - Buildings

JF - Buildings

IS - 2

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Computer modeling of daylight-integrated photocontrol of electric lighting systems

Abstract

All Science Journal Classification (ASJC) codes

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