Automatic control of HVAC and artificial lights has been one of the popular methods for achieving energy-efficient buildings. The current systems operate using fixed set-point controls, which are usually based on a conservative approach. Additionally, the lighting systems require additional sensor deployment to cope up with continuous fluctuation of natural light intensity. In this work, we describe a smart system called indoor Lighting and Temperature Controller (iLTC), which eliminates the fixed set-points and requirement of additional light sensors. iLTC decides operating set-points more aggressively, which is energy optimal and it tries to provide maximal user comfort to all the co-occupants in a shared space. The flexibility in choosing energy optimal set-points stems from the knowledge of comprehensive temperature and lighting comfort functions of individuals. To track the fluctuations in natural light intensity, we employ a smart estimation technique that requires light measurements only once during the training phase. Using the proposed system, we show the energy consumption by HVAC can be reduced up to 39\%. Similarly, compared to traditional on/off based and multilevel lighting systems with iLTC, energy consumption can be reduced up to 33\% and 60\%, respectively. We also provide qualitative user experience evaluation.
Original languageEnglish
Title of host publicationProceedings of the 2016 International Conference on Embedded Wireless Systems and Networks, EWSN 2016
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages65-76
Number of pages12
ISBN (Print)978-0-9949886-0-7
StatePublished - 2016
Event2016 International Conference on Embedded Wireless Systems and Networks, EWSN 2016 - Graz, Austria
Duration: 15 Feb 201617 Feb 2016

Conference

Conference2016 International Conference on Embedded Wireless Systems and Networks, EWSN 2016
CountryAustria
CityGraz
Period15/02/1617/02/16

ID: 9851978