Data Analytic Models for Lighting Energy Sensitivity Analysis of Building

T. M. Sanjeev Kumar, Ciji Pearl Kurian, K. Shreeya, A. Amulya

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

1 Citation (Scopus)

Abstract

Various factors affecting building lighting control include natural factors, construction parameters, occupancy, and the system factors including window blinds and luminaires. Lighting energy consumes about 20 to 40% of total electricity in large office buildings. For improving the lighting control strategies, it is inevitable to understand the energy pattern. This paper focuses on deriving dependency of lighting energy consumption by various climatic factors and building design. The relevant attributes segregated from the data set obtained using Energy Plus simulation are used to carry out the correlation test. The data analytics model developed based on regression, helps in predicting lighting consumption of the building. The model was verified using the analytic tools. This derived model tested for south and north regions of India. The classification based on window transmitted radiation, solar heat gain, solar altitude, outside temperature found to have a high impact on window blinds and luminaire dimming control. Sensitivity analysis of building performance data and climate data is significant for data based building modelling and monitoring. This preliminary study is leading to pre-emptive control of building lighting and HVAC system using machine learning.

Original languageEnglish
Title of host publication2018 International Conference on Control, Power, Communication and Computing Technologies, ICCPCCT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages118-122
Number of pages5
ISBN (Electronic)9781538607961
DOIs
Publication statusPublished - 12-12-2018
Event2018 International Conference on Control, Power, Communication and Computing Technologies, ICCPCCT 2018 - Kannur,Kerala, India
Duration: 23-03-201824-03-2018

Conference

Conference2018 International Conference on Control, Power, Communication and Computing Technologies, ICCPCCT 2018
CountryIndia
CityKannur,Kerala
Period23-03-1824-03-18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Signal Processing
  • Energy Engineering and Power Technology
  • Control and Optimization
  • Computer Networks and Communications

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  • Cite this

    Sanjeev Kumar, T. M., Kurian, C. P., Shreeya, K., & Amulya, A. (2018). Data Analytic Models for Lighting Energy Sensitivity Analysis of Building. In 2018 International Conference on Control, Power, Communication and Computing Technologies, ICCPCCT 2018 (pp. 118-122). [8574270] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCPCCT.2018.8574270