AI Solution Reduces Energy Bill For Our Singapore Clients
Early this year, our team has successfully delivered the project for our Singapore client. We use IoT (Internet of Things), data mining technology and machine learning to help clients to cut the energy wasting and increase the performance of automation system.
IoT sensors were installed for monitoring the chilled water system and its energy consumption. We located the energy wasting accurately by those IoTs and utilising of algorithm. The following graphics show the low delta T symptom in some of the AHUs:
Tons of data from the building and local weather station were used for calculation. The energy models were built to predict the energy savings of center plants with different ways to solve the low delta T problem. The following graphic shows the error of the major energy models:
The following graphic shows the energy optimisation predicted from chiller models:
Eventually, the client purchased our AI solutions, as well as the financial models. And the models are running alive to keep the investment of energy savings on track. The following graphic shows the monthly average of cost saving by using of our solution:
