Abstract
Artificial lighting is a visible source of energy consumption in any industries. Providing an energy efficient lighting is the only way by which the energy consumption can be minimized. Energy efficient solution should not compromise with the lighting requirement in terms of Lux levels when trying to reduce the electric load and energy consumption. Hence the lighting solution should be proposed in such a way to keep the required illumination levels by the use of low power consuming fixtures. This paper presents the results of a lighting audit done on a pharmaceutical industry located at Chennai, India and proposes an energy efficient lighting solution to cope up with the short comings. The project is carried out by conducting an initial survey of the site to acquire details of pharmaceutical industry like the existing lighting system, illumination levels and patterns, different areas and their functionalities etc. With the acquired details, the existing lighting system is simulated in lighting simulation software called DIALux. A new lighting strategy is proposed in terms of lux levels and energy consumption in order to minimise the total energy requirement of the building. Energy efficient lighting solutions not only reduces the energy consumption but also helps in reducing the carbon footprint.
Original language | English |
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Title of host publication | 2017 Innovations in Power and Advanced Computing Technologies, i-PACT 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-5 |
Number of pages | 5 |
Volume | 2017-January |
ISBN (Electronic) | 9781509056828 |
DOIs | |
Publication status | Published - 02-01-2018 |
Event | 2017 Innovations in Power and Advanced Computing Technologies, i-PACT 2017 - Vellore, India Duration: 21-04-2017 → 22-04-2017 |
Conference
Conference | 2017 Innovations in Power and Advanced Computing Technologies, i-PACT 2017 |
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Country/Territory | India |
City | Vellore |
Period | 21-04-17 → 22-04-17 |
All Science Journal Classification (ASJC) codes
- Control and Optimization
- Computer Science Applications
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Artificial Intelligence
- Computer Networks and Communications