How Will AI Impact Energy Management

AI is increasingly present across all industries, including the energy sector, which, in turn, will affect all industries and domestic spheres that depend on energy. This blog outlines the impact AI has and can have on sustainability efforts, as well as other ways AI can benefit energy management and energy efficiency when sourced from a reliable supplier. 

AI impact on sustainability 

Many people are aware that AI may harm sustainability efforts, but are unsure of how or why this is believed to be the case. Increasingly, conservationists have highlighted that AI, in fact, has the potential and is currently working to negate the harm that may be caused by running and supporting AI data centres. 

Before looking at the benefits AI can have on sustainability, it is important to understand the context of its impact first, briefly:

Sustainability concerns about AI

AI databases require significant resources to run efficiently and meet the demand they face. The most notable resource being used is water. The World Economic Forum predicts that water use for cooling AI data centres will reach 450 million gallons per day by 2030. 

This is definitely an understandable concern, but the positive impact AI can have on sustainability may help counteract it. Equally, measures are being taken to address this issue, such as prioritising rainwater AI centres and locating data centres in areas without potential or pre-existing water issues. 

Sustainability benefits from AI 

AI can analyse energy usage much more quickly than humans, identifying any discrepancies or areas of waste. This means energy consumption can be optimised, saving energy costs for the building or industry and helping reduce energy waste emissions. 

AI also supports companies that rely on power grid operations and helps plan the implementation of green solutions based on an extensive database of historical data and comparative analysis. This means it can help theorise and organise potential solutions in the global effort to transition to greener energy sources. 

Benefits of AI in Energy Management

Predictive Maintenance

AI is rapidly advancing and can now help to predict potential equipment failures and maintenance needs. This flags up any concerns for energy-dependent industries, allowing them to be addressed in advance. 

Energy monitoring

Advanced AI systems can adjust energy consumption, such as lighting or heating, in response to usage patterns. 

Supporting grids

AI systems can predict net fluctuations, such as spikes, improving the reliability and efficiency of energy distribution from grids. 

Operational aid

AI can improve battery efficiency and the performance of energy storage systems.

Smart meters 

AI smart meters can transfer data to the supply company without the consumer needing to record it, making it easier to make appropriate adjustments to ensure energy efficiency. 

How D-Energi is integrating AI 

At D-Energi, we are integrating AI into our operations and innovations as we advance our energy development. 

We are dedicated to supporting sustainability efforts and we can, upon request, supply any business with a 100% Green Energy tariff sourced from UK wind farms. 

Equally, we provide half-hourly meters for people interested in advanced smart meters that report all information to us frequently, meaning any issues will be addressed and you will not be overcharged based on general energy predictions.  

If you have any questions about the green energy tariff, please do not hesitate to contact us. Or, dive right in and book a free quote today. We price-match competitively, making us an excellent value for quality!