International Conference on Eurasian Economies
2-4 September 2020 – Baku - AZERBAIJAN
Paper properties
Paper ID : 2456
Status : Paper published
Language : English
Topic : Natural Resources and Environment
Presenter: Ph.D. candidate Rahib Imamguluyev
Presentation Location : Online
Session : 6B Microeconomics
Determination of Correct Lighting Based on Fuzzy Logic Model to Reduce Electricity in the Workplace
Determination of Correct Lighting Based on Fuzzy Logic Model to Reduce Electricity in the Workplace
- Ph.D. candidate Rahib Imamguluyev (Odlar Yurdu University, Azerbaijan)
Abstract
Today, awareness of electrical systems is almost one of our main needs. Reducing our energy consumption by ensuring energy efficiency in such a widely used system provides savings that will affect the economy and the life of energy sources, both economically and in terms of energy efficiency. The difference between electricity generation and the amount of electricity required in the last few years has been a cause for concern. In recent years, due to the increase in electricity prices, the steering committees of various organizations have begun to consider various ways to reduce electricity prices, and in this regard, attention should be paid to the basic lighting system. By applying healing methods or using new technologies without reducing production and switching to more efficient use of energy. Improving energy efficiency is more economical than investing in new energy sources. Energy saving in lighting is to provide good lighting conditions without compromising the quality of light. It is possible to achieve the same level of lighting with energy consumption, as good lighting will be provided by more efficient lighting elements. With efficient lighting, there will be less electricity consumption and eye health will be protected. This article discusses the application of a lighting system based on a fuzzy logic model to reduce electricity costs in offices.
JEL codes: C67
Imamguluyev, Rahib (2020). "Determination of Correct Lighting Based on Fuzzy Logic Model to Reduce Electricity in the Workplace" in Proceedings of International Conference of Eurasian Economies 2020, pp.317-323, Baku - AZERBAIJAN.
DOI: https://doi.org/10.36880/C12.02456
