alexa A Data-Driven Approach for Accurate Estimation and Visualization of Energy Savings from Advanced Lighting Controls | OMICS International| Abstract
ISSN: 2576-1463

Innovative Energy & Research
Open Access

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
  • Research Article   
  • Innov Ener Res 2017, Vol 6(2): 177
  • DOI: 10.4172/2576-1463.1000177

A Data-Driven Approach for Accurate Estimation and Visualization of Energy Savings from Advanced Lighting Controls

Vikrant Vaze1*, Maulin Patel2 and Saeed Bagheri2
1Thayer School of Engineering, Dartmouth College, , Hanover, NH, USA
2Philips Research North America, , New York, USA
*Corresponding Author : Vikrant Vaze, Philips Research North America, New York, USA, Tel: 1-603-646-9147, Email: [email protected]

Received Date: Nov 11, 2017 / Accepted Date: Nov 15, 2017 / Published Date: Nov 22, 2017

Abstract

Despite occupancy-based switching and daylight-based dimming controls being widely believed to have tremendous energy saving potential, there is often a lot of variability in the actual savings across customer sites. A major challenge in a reliable, site-specific assessment of these advanced lighting controls is the skew associated with time-logging using a low-power clock. We develop a robust analytical approach based on grid-search optimization and linear regression to correct the clock skew by exploiting the information stored in the cyclical nature of occupancy patterns in commercial buildings. We provide independent validation of the results using illuminance data to illustrate the strength of our approach. We also conduct comprehensive sensitivity analyses of the results by varying the assumptions about the underlying parameters values. Our results demonstrate that believable visualizations and reliable savings estimates can be generated using a low-power clock and a set of data-driven algorithms and analytics.

Keywords: Data loggers; Occupancy-based switching; Daylight harvesting; Clock skew correction; RC oscillator clock; Grid-search optimization; Linear regression

Citation: Vaze V, Patel M, Bagheri S (2017) A Data-Driven Approach for Accurate Estimation and Visualization of Energy Savings from Advanced Lighting Controls. Innov Ener Res 6: 177. Doi: 10.4172/2576-1463.1000177

Copyright: © 2017 Vaze V, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Select your language of interest to view the total content in your interested language

Post Your Comment Citation
Share This Article
Article Usage
  • Total views: 1148
  • [From(publication date): 0-2017 - Dec 11, 2019]
  • Breakdown by view type
  • HTML page views: 1085
  • PDF downloads: 63
Top