Environment data processing for a data centre

Abstract

In today’s digital age, increasingly new methods such as artificial intelligence and machine learning has been constantly developed and improved to where it can analyse, mine and predict data and help with various decision making. In this context, data obtained from the test data centre is used to gain information or insights on how to conserve energy while still ensuring servers are still running without problems given Singapore’s climate. This project will investigate the relationship between various environmental variables in a data centre, in particular, the relative humidity and the temperature of inside and outside and finally the energy consumption of the cooling system.