AI Adoption Case Study: AVEVA's work with Drax and SUEZ on AI driven predictive maintenance
techUK’s AI adoption collection of case studies showcases examples of how organisations are Putting AI into Action, either through the adoption of AI models within their organisations, or by developing AI tools that can be leveraged by others.
By shining a light on these use cases, techUK hopes to demonstrate examples of best practice from across sectors and from organisations of all sizes.
1. Challenge:
Drax are one of the top producers of low carbon electricity in the UK, while SUEZ manages and processes household waste for a large number of local authorities, endowing it with a key role in the circular economy. Both companies have a major part to play in the country’s transition to Net Zero.
Latent degradation and issues with high integrity industrial equipment in Drax and SUEZ plants such as boilers, turbines, pumps and generators can grow into defects which eventually cause unplanned downtime, interrupting the reliable production of power and the processing of waste. Large industrial plants are fitted with tens of thousands of IoT sensors measuring temperatures, pressures, flows, vibrations the recording huge amounts of data minute by minute every day. Over the past two years Drax and SUEZ both worked with AVEVA to deploy a complete diagnostics process harnessing that data to reveal the hidden heartbeat of their equipment health.
2. Solution:
Time series data historians such as AVEVA’s Pi system constantly store the data coming from equipment sensors, organise and contextualise the data and performing checks to ensure data quality. Predictive Analytics, a key AI enabling technology harnesses that data using an easily explainable machine learning anomaly detection model to encode the good operational behaviour of a piece of equipment from the historical sensor data. Once that model is deployed on the live data it is silently watching, twenty four hours a day and seven days a week, for the first hints of when an equipment departing from the good historical envelope. This gives warning, long in advance, and allows Drax and SUEZ to plan, assemble spare parts and schedule maintenance interventions when they will be least impactful to electricity production or waste processing. The solution is configured for Engineers and equipment experts to generate valuable outcomes; not only does it detect anomalies in the data, but it recognises signatures of typical faults, for example a damaged bearing, giving prescriptive advice for Engineers to be able to follow up with the appropriate corrective actions. When an anomaly is caught the system is gives precise citations to show the user which sensors are contributing such that the results of the system are highly accountable and not obscured in an AI ‘black-box’. The system is highly scalable capable of monitoring hundreds or thousands of pieces of critical industrial equipment, but is computationally highly efficient requiring little more than a desktop computer to run.
3. Impact:
From the first implementation of the software both Drax and SUEZ started to detect issues with their equipment.
Drax found a generator transformer gas in oil measurement increasing indicative of a serious fault. A similar transformer had previously failed causing an unplanned stop of the unit for more than four weeks. With the early detection provided by Predictive Analytics Drax were able to operate the transformer differently, perform a short remedial repair and continue operation until the next major planned stop.
One of SUEZ steam turbines showed signs of a large axial movement of the rotor; a tell-tale sign of a balance-piston seal failure. When the machine was later opened, the inspection verified that the seal was indeed severely damaged. Although this case didn’t pose an immediate risk to operation, the early detection allowed better preparation for the next planned overhaul for the risk that more work would be required to remediate.
Usman Ikhlaq
Usman joined techUK in January 2024 as Programme Manager for Artificial Intelligence.
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Usman Ikhlaq
Usman Ikhlaq
Usman joined techUK in January 2024 as Programme Manager for Artificial Intelligence.
He leads techUK’s AI Adoption programme, supporting members of all sizes and sectors in adopting AI at scale. His work involves identifying barriers to adoption, exploring solutions, and helping to unlock AI’s transformative potential, particularly its benefits for people, the economy, society, and the planet. He is also committed to advancing the UK’s AI sector and ensuring the UK remains a global leader in AI by working closely with techUK members, the UK Government, regulators, and devolved and local authorities.
Since joining techUK, Usman has delivered a regular drumbeat of activity to engage members and advance techUK's AI programme. This has included two campaign weeks, the creation of the AI Adoption Hub (now the AI Hub), the AI Leader's Event Series, the Putting AI into Action webinar series and the Industrial AI sprint campaign.
Before joining techUK, Usman worked as a policy, regulatory and government/public affairs professional in the advertising sector. He has also worked in sales, marketing, and FinTech.
Usman holds an MSc from the London School of Economics and Political Science (LSE), a GDL and LLB from BPP Law School, and a BA from Queen Mary University of London.
When he isn’t working, Usman enjoys spending time with his family and friends. He also has a keen interest in running, reading and travelling.
Sue Daley OBE
Sue Daley OBE
Sue leads techUK's Technology and Innovation work.
This includes work programmes on cloud, data protection, data analytics, AI, digital ethics, Digital Identity and Internet of Things as well as emerging and transformative technologies and innovation policy.
In 2025, Sue was honoured with an Order of the British Empire (OBE) for services to the Technology Industry in the New Year Honours List.
She has been recognised as one of the most influential people in UK tech by Computer Weekly's UKtech50 Longlist and in 2021 was inducted into the Computer Weekly Most Influential Women in UK Tech Hall of Fame.
A key influencer in driving forward the data agenda in the UK, Sue was co-chair of the UK government's National Data Strategy Forum until July 2024. As well as being recognised in the UK's Big Data 100 and the Global Top 100 Data Visionaries for 2020 Sue has also been shortlisted for the Milton Keynes Women Leaders Awards and was a judge for the Loebner Prize in AI. In addition to being a regular industry speaker on issues including AI ethics, data protection and cyber security, Sue was recently a judge for the UK Tech 50 and is a regular judge of the annual UK Cloud Awards.
Prior to joining techUK in January 2015 Sue was responsible for Symantec's Government Relations in the UK and Ireland. She has spoken at events including the UK-China Internet Forum in Beijing, UN IGF and European RSA on issues ranging from data usage and privacy, cloud computing and online child safety. Before joining Symantec, Sue was senior policy advisor at the Confederation of British Industry (CBI). Sue has an BA degree on History and American Studies from Leeds University and a Masters Degree on International Relations and Diplomacy from the University of Birmingham. Sue is a keen sportswoman and in 2016 achieved a lifelong ambition to swim the English Channel.
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Tess Buckley
Tess Buckley
A digital ethicist and musician, Tess holds a MA in AI and Philosophy, specialising in ableism in biotechnologies. Their professional journey includes working as an AI Ethics Analyst with a dataset on corporate digital responsibility, followed by supporting the development of a specialised model for sustainability disclosure requests. Currently at techUK as programme manager in digital ethics and AI safety, Tess focuses on demystifying and operationalising ethics through assurance mechanisms and standards. Their primary research interests encompass AI music systems, AI fluency, and technology created by and for differently abled individuals. Their overarching goal is to apply philosophical principles to make emerging technologies both explainable and ethical.
Outside of work Tess enjoys kickboxing, ballet, crochet and jazz music.
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- tessbuckley.me
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Laura Foster
Laura Foster
Laura is techUK’s Associate Director for Technology and Innovation.
She supports the application and expansion of emerging technologies, including Quantum Computing, High-Performance Computing, AR/VR/XR and Edge technologies, across the UK. As part of this, she works alongside techUK members and UK Government to champion long-term and sustainable innovation policy that will ensure the UK is a pioneer in science and technology
Before joining techUK, Laura worked internationally as a conference researcher and producer covering enterprise adoption of emerging technologies. This included being part of the strategic team at London Tech Week.
Laura has a degree in History (BA Hons) from Durham University, focussing on regional social history. Outside of work she loves reading, travelling and supporting rugby team St. Helens, where she is from.
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- www.linkedin.com/in/lauraalicefoster
Nimmi Patel
Nimmi Patel
Nimmi Patel is the Head of Skills, Talent and Diversity at techUK. She works on all things skills, education, and future of work policy, focusing on upskilling and retraining. Nimmi is also an Advisory Board member of Digital Futures at Work Research Centre (digit). The Centre research aims to increase understanding of how digital technologies are changing work and the implications for employers, workers, job seekers and governments.
Prior to joining the techUK team, she worked for the UK Labour Party and New Zealand Labour Party, and holds an MA in Strategic Communications at King’s College London and BA in Politics, Philosophy and Economics from the University of Manchester. She is currently taking part in the 2024-25 University of Bath Institute for Policy Research Policy Fellowship Programme.
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Audre Verseckaite
Audre Verseckaite
Audre joined techUK in July 2023 as a Policy Manager for Data. Previously, she was a Policy Advisor in the Civil Service, where she worked on the Digital Markets, Competition and Consumers Bill at the Department for Science, Innovation and Technology, and at HM Treasury on designing COVID-19 support schemes and delivering the Financial Services and Markets Bill. Before that, Audre worked at a public relations consultancy, advising public and private sector clients on their communications, public relations, and government affairs strategy.
Prior to this, Audre completed an MSc in Public Policy at the Korea Development Institute and a Bachelor's in International Relations and History from SOAS, University of London. Outside of work, she enjoys spending time outdoors, learning about new cultures through travel and food, and going on adventures.
Edward Emerson
Edward Emerson
Edward leads the Digital Economy programme at techUK, which includes our work on online safety, fraud, and regulation for growth initiatives.
He has prior experience working for the Department for Digital, Culture, Media and Sport and has previously worked for a number of public affairs consultancies specialising in research and strategy, working with leading clients in the technology and financial services sectors.
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- [email protected]
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- https://www.linkedin.com/in/edward-emerson-009189183
Heather Cover-Kus
Heather Cover-Kus
Heather is Head of Central Government Programme at techUK, working to represent the supplier community of tech products and services to Central Government.
Prior to joining techUK in April 2022, Heather worked in the Economic Policy and Small States Section at the Commonwealth Secretariat. She led the organisation’s FinTech programme and worked to create an enabling environment for developing countries to take advantage of the socio-economic benefits of FinTech.
Before moving to the UK, Heather worked at the Office of the Prime Minister of The Bahamas and the Central Bank of The Bahamas.
Heather holds a Graduate Diploma in Law from BPP, a Masters in Public Administration (MPA) from LSE, and a BA in Economics and Sociology from Macalester College.
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- [email protected]
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- https://www.linkedin.com/in/heather-cover-kus-ba636538
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