Artificial intelligence is going to revolutionise the way energy in commercial sector buildings is managed. Whether you are dealing with a hospital, stadium, shopping centre, office building, educational centre or hotel, artificial Intelligence can reduce your energy costs and manage your energy usage efficiently and over time decrease it even further.
The application of AI creates intelligent, let’s call themsmart, commercial buildings that learn and optimise energy usage by themselves. These applications result in a learning curve which allows them to continuously improve complex processes by organising and analysing large amounts of data on your energy consumption habits. AI solutions then become your automated facility energy management system.
Certain AI applications monitor and controlan entire building’s energy activities in order to achieve energy conservation. These include:
- Heating, ventilation and air conditioning (HVAC)
- Gas and water supply systems
- Temperature sensors
- Air quality
- Early problem detection
- Variable air volume systems
Examples of Artificial Intelligence applications in the commercial sectors
Google reduced their energy bill by 40%
Google consumes a large amount of energy. In 2015 they are said to have consumed 4,402,836 MWh of electricity in 2014, equivalent to the average yearly consumption of about 366,903 U.S. homes. Through DeepMind AI Google has managed to cut the company’s energy costs by hundreds of million dollars.
Hospital in Australia reduced their energy consumption by 5%
St John of God Murdoch Hospital in Australia houses 500 beds and serves nearly 50,000 patients per year. Through AI, which used data visualisation, fault detection and closed-loop control of specific HVAC zones, the hospital reduced HVAC energy usage by 10% and 5% of overall energy consumption. The initial reductions translated to about $4,500 in net savings per month.
Hospital in New Delhi in 6 months reduced their energy usage by 35%
Sant Parmanand hospital in New Delhi, India in just 6 months was able to reduce its monthly energy consumption by 35% by using an AI application.
AI helps British universities cut their energy costs by as much as 30%.
The Energy Consortium has piloted an energy efficiency AI projectat six British universities. Anglia Ruskin, Bath, Bristol, Newcastle, Regents and York universities will use an AI application to identify energy waste, improve efficiency and cut costs.
The Crowne Plaza Times Square energy costs reduced by 47%
Through AI installation of EcoSmart in their 795 rooms, the Crowne Plaza Times Square in Manhattan has reduced its energy cost by 47% and enjoyed a 24% reduction in HVAC runtime. Energy savings have totalled $58,799.43 per year.