Abstract

Automated day-lighting systems can modulate window blinds and electrical lights for maintaining the proper illumination levels and save significant electrical energy in buildings. This paper presents an initial work toward developing an automated installation and maintenance of a generic daylighting system which is able to self-calibrate and adapt to the building needs with minimal human intervention. The system operates based on information provided by a wireless sensor network, and processed through learning algorithms and feedback control principle. This paper focuses on a preliminary simulation study to establish a control baseline and identifies the required elements. It demonstrates the concept, using daylighting simulation software in the context of a test cell which represents a virtual office space. A startup baseline for the optimal blind slat angle settings for the windows is developed with the objective of maintaining uniform lighting levels on a horizontal surface inside the test cell. The lighting baseline simulations are limited to specific times and days of a year to reduce and optimize the simulation process and are applied to predict the optimal blind slat angles for other days of the year. This paper presents and discusses the results of such an analysis including an extrapolation to all year round.

Original languageEnglish (US)
Title of host publicationASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
PublisherAmerican Society of Mechanical Engineers (ASME)
Volume12
ISBN (Print)9780791856413
DOIs
StatePublished - 2013
EventASME 2013 International Mechanical Engineering Congress and Exposition, IMECE 2013 - San Diego, CA, United States
Duration: Nov 15 2013Nov 21 2013

Other

OtherASME 2013 International Mechanical Engineering Congress and Exposition, IMECE 2013
CountryUnited States
CitySan Diego, CA
Period11/15/1311/21/13

Fingerprint

Lighting
Daylighting
Extrapolation
Learning algorithms
Feedback control
Wireless sensor networks

ASJC Scopus subject areas

  • Mechanical Engineering

Cite this

Karizi, N., Reddy, T. A., & Dasgupta, P. (2013). Developing a baseline strategy for controlling blinds in buildings. In ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) (Vol. 12). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/IMECE2013-62829

Developing a baseline strategy for controlling blinds in buildings. / Karizi, Nasim; Reddy, T Agami; Dasgupta, Partha.

ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE). Vol. 12 American Society of Mechanical Engineers (ASME), 2013.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Karizi, N, Reddy, TA & Dasgupta, P 2013, Developing a baseline strategy for controlling blinds in buildings. in ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE). vol. 12, American Society of Mechanical Engineers (ASME), ASME 2013 International Mechanical Engineering Congress and Exposition, IMECE 2013, San Diego, CA, United States, 11/15/13. https://doi.org/10.1115/IMECE2013-62829
Karizi N, Reddy TA, Dasgupta P. Developing a baseline strategy for controlling blinds in buildings. In ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE). Vol. 12. American Society of Mechanical Engineers (ASME). 2013 https://doi.org/10.1115/IMECE2013-62829
Karizi, Nasim ; Reddy, T Agami ; Dasgupta, Partha. / Developing a baseline strategy for controlling blinds in buildings. ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE). Vol. 12 American Society of Mechanical Engineers (ASME), 2013.
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