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Data Center News > Blog > Innovations > Using AI to solve the power challenges caused by… AI
Innovations

Using AI to solve the power challenges caused by… AI

Last updated: June 10, 2025 4:34 pm
Published June 10, 2025
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Within the face of rising concern surrounding the vitality calls for of Synthetic intelligence (AI), Ben Croxford, Managing Director at Eclipse Energy Networks, explains how the expertise can be utilized to handle the ability challenges it’s accused of inflicting.

Synthetic Intelligence (AI) is a central a part of the UK authorities’s plan to spice up development throughout the UK. By means of its AI Opportunities Action Plan, the federal government intends to make use of AI to ship its wide-ranging Plan for Change, together with commitments to make Britain a clear vitality superpower by 2030.  Elsewhere AI is being touted as a repair for every part from administrative overload in the Civil Service to the UK’s one million-plus potholes. Admirable, however to not my thoughts, the place AI can add essentially the most profit.

A lot has been product of the elevated vitality calls for of knowledge centres processing AI workloads, versus common amenities extra centered on information storage. In April, the International Energy Agency published a new report, projecting that information centre consumption will greater than double by 2030. But throughout the vitality sector, AI can be utilized to remedy the very issues it’s been accused of inflicting by way of its energy calls for.

The ability challenges: An incredible demand for vitality

AI is right here to remain. Not solely does the federal government imagine it will probably repair lots of the UK’s points – potholes apart – it considers AI to be the subsequent frontier. Knowledge centres have been elevated to critical national infrastructure status, native authority choices stopping information centres from being constructed have been overruled, and devoted AI growth zones have been created.

Nevertheless, the vitality demand of AI is notoriously excessive, and given its potential to revolutionise elements of our lives in methods we don’t but know, the speed of enhance is predicted to be steep too. Based on the Worldwide Power Company (IEA), a single AI-focused information centre might require as a lot energy as 100,000 households. Globally, throughout the subsequent two years, the AI business might use as a lot vitality as a rustic the scale of Japan.

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The answer: Utilizing AI to remedy itself

Satirically, due to its capabilities, we are able to use AI to offer the answer for its personal elevated demand for vitality. Throughout the vitality sector, AI is getting used to optimise technology, transmission, distribution and consumption. It’s additionally a significant instrument in decarbonising the sector and making internet zero a actuality.

AI thrives on information. The vitality sector each generates and consumes monumental volumes of it. The knowledge generated by good meters, distant monitoring sensors, electrical automobile charging and different digital belongings feeds into AI algorithms to empower good grids and actively managed networks that profit the electrical energy business on a number of ranges.

Power corporations use AI to attach, optimise, and management vitality belongings, reminiscent of electrical automobiles (EVs), warmth pumps, and HVAC (heating, air flow and air con) methods. It permits suppliers to steadiness and shift masses in actual time by incentivising adjustments to client behaviour.

These demand-side response (DSR) programmes reward individuals for adjusting after they use energy to assist steadiness the load on the grid. Platforms that allow this, reminiscent of Octopus Power’s KrakenFlex, use AI to find out what capability is required from DSR programmes, when to name a DSR occasion, and what incentive to supply. By permitting masses to be shifted and re-shaped, AI additionally permits electrical energy suppliers to create new vitality merchandise and tariffs – producing revenue for future funding within the networks.

AI is getting used to handle each technology and demand for business and industrial developments. AI helps optimise the usage of distributed vitality assets (DERs), like batteries, photo voltaic and wind, to satisfy the peaks and troughs of grid demand. An enormous quantity of knowledge from these belongings, mixed with climate forecasts and different key variables, are processed to foretell and reply to the variability in vitality provide and demand. Briefly, AI permits these assets to be managed extra successfully so that they carry out higher and are discharged or curtailed on the proper instances.

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With AI powering optimisation, asset house owners will be capable of enhance the worth from their belongings by intelligently utilizing them at instances that maximise their monetary advantages, i.e., when the market circumstances are proper. In flip, it will doubtlessly present a lift to funding in new renewable belongings.

Self-sustaining innovation

An essential extra profit from the usage of AI to optimise networks and belongings is that it helps to make sure new technology comes from renewable sources. Variable renewable vitality (VRE) sources are inherently intermittent on account of climate circumstances altering their output. By actively managing these belongings and the community, we are able to compensate for his or her intermittency by way of the usage of numerous belongings with totally different output profiles that may ramp up or down in response to the altering circumstances. AI algorithms that may reply to voltage fluctuations in milliseconds will support grid stability, enabling real-time load balancing and power-flow optimisation to scale back transmission losses.

AI presents additional thrilling potential to broaden and enhance renewable vitality. For instance, as a device for scientific discovery, AI seems more likely to speed up the tempo of innovation in key applied sciences reminiscent of photovoltaic (PV) photo voltaic modules, or battery storage. Enhancements right here might enhance effectivity or efficiency, decrease the applied sciences’ price, or present different tangible advantages. So, in essence, AI permits cleaner vitality to energy its personal consumption.

Why IDNOs are well-placed to steer

AI isn’t only for nationwide infrastructure – it will probably drive effectivity on the distribution degree, too. Impartial distribution community operators (IDNOs) like Eclipse Energy Networks are ideally positioned to undertake AI instruments shortly and with focus. With extra agile buildings than conventional distribution community operators (DNOs), IDNOs can trial and deploy focused AI options throughout design, planning, operations and asset upkeep.

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AI helps sooner connections, the smarter adoption of present networks, and predictive upkeep that minimises disruption and value. On the starting stage, AI permits higher demand forecasting and situation modelling. And thru data-led asset administration, AI helps us transfer from reactive to preventative upkeep methods.

Nevertheless, whereas the ability business can already level to successes, it’s not alone in dealing with a important, UK-wide scarcity of AI expertise. These add to the problem of adapting to shifting and rising vitality use, pushed partially by AI’s elevated calls for. However there may be growing assist, for instance by way of the free instruments, funding alternatives and knowledge-transfer partnerships supported by Innovate UK. By investing in expertise, and by reframing AI as a strategic enabler throughout enterprise capabilities, the ability business can proceed to innovate on this space.

From situation to remedy

Regardless of some alarmism about AI’s vitality consumption, it has the potential to greater than compensate for its personal vitality demand. Because the IEA’s current report finds, it could possibly be instrumental in reducing prices, enhancing competitiveness and decreasing emissions throughout the sector.

Through the use of AI to optimise demand and technology, we don’t must take a easy ‘add extra to maintain up’ method. Clever AI-powered optimisation of good grids and actively managed networks can do numerous the heavy lifting that the brand new hyperscale information centres will want, in addition to powering a cleaner vitality infrastructure that advantages everybody.

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