On the investigation and experimental analysis of energy-efficient lighting for a university building

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

Abstract

This paper focuses on studying the energy consumption of the Fluorescent Lights (FL) employed in an educational labrotory and office facility in a university building. The study takes into consideration energy consumption, performance, and thermal air conditioning load of FL. In order to obtain precise results, investigation and experimental testing were carried out for the existing lighting fixtures and compared through the DIALux simulation for lighting performance. The simulation results elucidated that only 25% of the illuminance level required was being provided at an average luminous flux per unit area of 122.44 lux in the laboratory and 294 lux in the office room. With the initial proposed LED comaptible fixtures, 48% of energy reduction with 37 lm/W higher efficacy were achieved. This proposal was later amended with fewer and more efficient LED fixtures which leads to 58% of energy reduction, 63 lm/W higher effcacy and 378 lux more. By extending this investigation to the entire building, the total amount of power saving lead to saving 80,0882 kWh in energy consumption per year.

Original languageEnglish
Title of host publication2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)
PublisherIEEE
Pages168-173
Number of pages6
ISBN (Electronic)9781538667965
DOIs
Publication statusPublished - 6 Dec 2018
Event7th International Conference on Smart Grid and Clean Energy Technologies 2018 - Kajang, Malaysia
Duration: 29 May 20181 Jun 2018

Conference

Conference7th International Conference on Smart Grid and Clean Energy Technologies 2018
Abbreviated titleICSGCE 2018
Country/TerritoryMalaysia
CityKajang
Period29/05/181/06/18

Keywords

  • carbon emissions
  • DIALux
  • energy efficiency
  • energy saving
  • fluorescent lighting
  • light emitting diodes
  • lighting

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization
  • Hardware and Architecture

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