ABB Report Shows How a 0.2 Percent Motor Efficiency Gain Could Unlock Billions for Industry
Report examines a decade of data for over 1,000 large motors and generators delivered globally by ABB’s Västerås facility in Sweden.
The company’s new report, The Industrial Efficiency Gap, focuses on motors rated above 375 kW, which ABB says currently account for an estimated 10.4 per cent of global electricity demand. That share is projected to double by 2040.
The report is based on a decade of data from ABB’s manufacturing facility in Västerås, Sweden. It examines more than 1,000 large synchronous motors and generators delivered worldwide between 2015 and 2025.
According to ABB, the data shows a persistent efficiency gap between equipment that is routinely specified and what can be achieved through the company’s Top Industrial Efficiency, or TIE, approach. The approach focuses on specifying the highest-efficiency motor or generator using proven, commercially available technology.
Applied across the global installed base of similar equipment, ABB estimates that a 0.2 percentage-point efficiency gap costs operators between 9.5 and 12 billion dollars in unnecessary electricity costs and generates 60 to 75 million tonnes of avoidable CO₂ over a 25-year asset life. The typical payback period ranges from a few months to up to three years.
Specification Gap, Not Technology Gap
Industrial energy efficiency is becoming more important as the global energy transition accelerates. Rising electricity demand from AI and data centres is adding pressure to power systems, while industry is also seeking to strengthen security of supply.
“Industry has spent decades optimizing what happens inside a plant. Yet large motors and generators have rarely been part of that conversation, even though they run continuously for 25 years and sometimes even more, converting more energy to motion than almost anything else on site,” said David Bjerhag, Global Business Line Manager, High Speed Synchronous, ABB.
“The gap between a standard machine and a TIE-optimized one is not technological. It is a specification gap. The companies closing it fastest are the ones where the engineer who selects the motor and the CFO or CSO responsible for energy performance are aligned around a single metric: total cost of ownership.”
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Data Center Generators Market Worth $9.79 Billion by 2031
Diesel generators are expected to hold the largest market value by type.
According to MarketsandMarkets™, the global data center generators market is projected to grow from USD 8.57 billion in 2026 to USD 9.79 billion by 2031, representing a CAGR of 2.7% during the forecast period.
Modular facilities require scalable and easily deployable backup power solutions that can be integrated quickly with minimal on-site installation complexity. This trend is encouraging the adoption of containerized and plug-and-play generator systems that offer flexibility, rapid commissioning, and simplified maintenance.
Generators Above 3 MW Expected to Grow Fastest
By power rating, generators above 3 MW are expected to record the highest CAGR.
The above 3 MW segment is projected to register the fastest growth in the data center generators market as operators increasingly build hyperscale and AI-oriented facilities with extremely high power requirements. Large cloud providers and colocation companies are deploying multi-building campuses equipped with high-density servers, GPU clusters, and AI training infrastructure, all of which require large-scale backup and continuous power capacity.
Growing investments in mega data center projects across North America, Europe, the Middle East, and Asia Pacific are further accelerating the adoption of generators above 3 MW. In addition, increasing pressure to ensure uninterrupted uptime during grid instability and rising electricity demand is encouraging operators to deploy robust, high-capacity power systems capable of supporting long-duration operations and parallel generator configurations for improved resilience and reliability.
Diesel Generators Expected to Hold Largest Market Share
By type, diesel generators are expected to hold the largest market share.
Diesel generators are expected to retain the largest share of the data center generators market due to their proven reliability, fast-start capability, and ability to deliver uninterrupted backup power during grid failures.
These generators offer high power density, strong load acceptance, and operational stability for mission-critical environments, particularly in large-scale deployments above 3 MW. In addition, diesel fuel infrastructure is widely available across developed and emerging markets, supporting easier deployment and maintenance.
Continuous advances in fuel efficiency, emissions-reduction technologies, digital monitoring, and compatibility with renewable fuels such as hydrotreated vegetable oil (HVO) are also helping diesel generators remain competitive despite growing interest in gas and hybrid alternatives.
North America Expected to Remain Largest Market
North America is projected to account for the largest market during the forecast period.
The region hosts some of the world’s largest data center hubs, including Northern Virginia, Texas, California, Arizona, and Toronto. Continuous investments in AI, cloud computing, and edge infrastructure are driving demand for reliable backup power systems.
The increasing deployment of high-density AI servers and large hyperscale campuses is accelerating the adoption of high-capacity generators, particularly those above 3 MW.
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Valmet’s New Stationary Lime Cooler Improves Lime Kiln Energy Efficiency
Valmet will deliver a new stationary lime cooler to Heinzel Pöls pulp mill in Austria.
The new cooler is designed to improve the lime kiln’s energy efficiency compared with the existing rotary cooler, reduce maintenance needs and enable a capacity increase in the existing lime kiln.
Heinzel Pöls is one of the largest producers of bleached and unbleached softwood sulphate pulp in Central and Eastern Europe.
“Our main targets for this lime cooler investment are fuel savings brought by higher energy efficiency, achieving improved availability by reducing unplanned stops, and the possibility to increase the capacity of the lime kiln,” says Siegfried Gruber, Head of Project Engineering, Heinzel Pöls.
Cooler Upgrade Aims to Reduce Fuel Use and Unplanned Stops
According to Valmet, the main benefits of moving from the old rotary cooler to the new stationary cooler include significantly higher energy efficiency, fuel savings in the lime kiln and the elimination of unplanned stops caused by plugging in the cooler.
The fuel savings also enable the mill to increase the production rate of the lime kiln.
“These kinds of improvement projects bring several benefits to our customers. Fuel savings are reached through better heat recovery from the hot lime. Additionally, our stationary cooler is designed for very easy maintenance,” says Claus Jensen-Holm, Director, White Liquor and Evaporation, Valmet.
The order was included in Valmet’s orders received for the first quarter of 2026. The value of the order will not be disclosed. The new cooler is scheduled to be taken into operation during the fourth quarter of 2027.
Heat Recovery Used for Burner Air
The new lime cooler will be delivered with an extensive scope covering engineering, main equipment delivery, disassembly of the old cooler, new cooler installation, commissioning and training.
The Valmet Stationary Cooler has high cooling efficiency for burned lime and strong heat recuperation. The recovered heat is used to heat the incoming air for the burner.
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Smart AI Gives Electric Vehicle Batteries Longer Life – Without Increasing Charging Time
The AI model was trained to adapt charging according to how charged or discharged the battery was at the time of charging.
Researchers at Chalmers University of Technology in Sweden have now developed a new AI method that adapts fast charging to the health of the battery. Their study shows that battery life can be increased by almost 23 per cent without extending the charging time. All that is required is an update to the vehicle’s software.
“For taxis or heavy vehicles in industry, for example, access to fast charging means a lot, but this is also true for passenger cars,” says Changfu Zou, professor at the Department of Electrical Engineering at Chalmers.
Electric vehicle batteries currently have a lifespan of approximately 8–15 years, depending on use and charging.
The need for efficient fast charging is also in conflict with battery health, as such charging is stressful for batteries and shortens their lifespan.
Changfu Zou has taken on this challenge with Meng Yuan, Assistant Professor at Victoria University of Wellington, New Zealand, and a former researcher at Chalmers.
Adapting charging to battery health
In the recently published study, the researchers present an AI-based charging strategy that adapts the current during each fast charge to the battery’s chemistry and state of health. The adapted charging extends battery life by around 23 per cent compared to today’s standard method.
“We show that it is possible to charge more or less as fast as today, but with significantly less long-term degradation of the battery,” says Meng Yuan.
When a battery is charged fast, a large current is forced into the various cells, which increases the risk of chemical side reactions, among other things. One of the most problematic is known as lithium plating, in which metallic lithium precipitates on the electrode instead of being stored correctly in the battery’s structure. This can reduce capacity and may also affect safety, as unevenness in the lithium structure can, in the worst-case scenario, cause a short circuit.
“The risk of lithium plating increases with the age of the battery. However, the standard charging methods used today apply the same current and voltage regardless of whether the battery is new or has been used for years,” says Meng Yuan.
Short charging time and less wear
The new AI-based charging strategy is based on reinforcement learning, in which the right actions are rewarded and thus reinforced. The training environment consisted of a model of one of the most common electric vehicle batteries on the market and a simulation of the parameters that affect both charging time and battery health.
The AI model was trained to adapt charging according to how charged or discharged the battery was at the time of charging. It also needed to take into account the overall health of the battery, as this is crucial to both capacity and electrochemistry. The result was a charging strategy that keeps charging time short while minimising harmful reactions.
“Our study shows that smart adaptation of the current during charging, taking into account the changing electrochemical state of the battery, can maximise both the performance and the lifespan of the battery,” says Changfu Zou.
Easy to implement, but adaptation is required
According to the researchers, the new charging strategy is both easy and cost-effective to implement. In principle, it could be introduced through software updates to the vehicle’s battery management systems. However, some adaptation is needed before the method can be used more widely.
“There are not so many different battery types today, but the method needs to be calibrated for it to be used by everyone. Using transfer learning, we can take advantage of what our AI model has already learned, and thus adapt the AI model to new batteries more quickly,” says Changfu Zou.
The next step is to test the method directly on physical batteries. The researchers hope that the AI-based charging strategy will make a significant contribution to the electrification of the transport sector.
“To reduce emissions and transition to a fossil-free society, it is important for people to be prepared to switch to electric vehicles. The possibility of fast charging, combined with increased battery life, are important driving forces,” says Meng Yuan.
“And for the automotive industry, an almost 23 per cent increase in battery life can mean lower warranty costs, better resale value and more efficient use of critical raw materials,” says Changfu Zou.
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Novity secures investment from Tokyo Gas venture arm
Novity has secured new funding from Tokyo Gas’s venture arm to expand its AI-based predictive maintenance platform for energy and process industries.
Novity has received a strategic investment from Acario Innovation, the corporate venture capital arm of Tokyo Gas.
The San Francisco-based company develops predictive maintenance software for process industries. Its TruPrognostics platform combines artificial intelligence, machine learning and physics-based models to detect early signs of equipment faults and estimate remaining useful life.
Tokyo Gas is Japan’s largest city gas utility and also operates in LNG, natural gas, electricity and energy solutions. The company serves more than 13 million customer accounts.
The investment will support Novity’s expansion in industrial and energy applications.
Focus on critical energy equipment
Novity’s technology is aimed at machinery such as compressors, pumps, fans and induction motors. These assets are widely used in natural gas production, processing and transport, where unplanned downtime can create safety risks, disrupt supply and increase operating costs.
According to the company, downtime losses for processing and compression assets used to increase natural gas pressure before pipeline transportation can exceed 500,000 dollars per hour.
Tokyo Gas has expanded its upstream operations outside Japan. Through Tokyo Gas Natural Resources, the company has a significant presence in the United States, including operations in the Haynesville Shale.
“This investment reflects a shared conviction that AI-based predictive maintenance is now a foundational capability for critical energy infrastructure through the supply chain,” said Markus Larsson, Co-Founder and CEO at Novity.
“We’re aligned on evaluating high-impact equipment use cases — starting with compression — where earlier detection and Remaining Useful Life Prognostics materially improves uptime and operational performance.”
Data center growth increases reliability demands
Novity also points to the growth of AI data centers as a driver of new reliability requirements in energy infrastructure.
As power demand rises, operators are increasingly developing behind-the-meter power generation projects. According to the company, nearly 20 gigawatts of behind-the-meter power generation was announced in the ERCOT market alone in 2025, with another 10 gigawatts announced through April 2026.
Many of these projects rely on gas-fired turbines. Novity says this creates demand for predictive maintenance in turbine assets and hybrid configurations that also use battery storage.
From alerts to maintenance planning
Acario says the investment reflects the need for more precise maintenance tools in industrial operations.
“Improving reliability and operational efficiency across a diverse asset base is one of our core priorities,” said Kenji Maeda, CEO at Acario.
“Predictive maintenance has historically been difficult to achieve, but we believe that with Novity’s hybrid AI solution, plant managers don’t just get anomaly alerts and alarms, but instead an actionable fault diagnosis and a precise failure timeline, often providing the ability to act months before issues arise.”
Novity’s platform is designed to help process industries move away from fixed maintenance schedules. The company says its software uses existing operational data and combines information from different sensor types, including acoustic emissions, temperature, current, cavitation, mass flow and valve opening and closing times.
Unlike systems based on single wireless sensors, Novity says its approach is sensor-agnostic and can combine multiple data sources. The company says detection accuracy rates of 90 percent or higher are routinely observed in production environments.
Previous investors include Myriad Ventures and Metawater
Acario’s investment follows earlier investments from Myriad Ventures, WERU Investment and Metawater.
WERU Investment is described as Japan’s first university-originated independent asset management company. Metawater is a water and environmental engineering company formed as a joint venture of Fuji Electric and NGK Insulators.
Novity says its deployments include upstream and midstream oil and gas, LNG terminals and wastewater operations.
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The Human Side of Reliability
Reliability is built by people. Maroua Ouerghemmi, Senior Manager for Great Britain and Nordics at The Coca Cola Europacific Partners CCEP, explains why trust, clarity, and daily habits matter as much as data, AI, and predictive tools do in industrial maintenance.
In industrial maintenance, the technology is moving fast: online condition monitoring is becoming standard, AI pilots are multiplying, and data is everywhere. Yet one truth remains constant.
Reliability is built by people. Maroua Ouerghemmi, Senior Manager for Great Britain and Nordics at Coca Cola Europacific Partners CCEP, has built her career at the intersection of strategy and shop floor reality. Her message is clear: the future of maintenance will be won not only with smarter tools, but with trust, clarity, and the ability to translate big ambitions into daily habits.
Maroua Ouerghemmi did not enter maintenance by accident. She entered it through numbers.
“I love mathematics,” she says. For her, maintenance was never just about repairing what breaks. It was about understanding why things break, when they are likely to break next, and what decisions can change that outcome.
She graduated as an instrumentation and industrial maintenance engineer, specializing in maintenance management and maintenance engineering. Her studies began in Tunisia, and her graduation took her to Bahrain. From there, she joined APM Terminals as a reliability engineer in a harbor environment, at a time when the concept of reliability was still gaining traction in many organizations. Her role was to help build a reliability function within the maintenance department, shaping a new way of working around data, structure, and prevention.
Then came a defining opportunity. In 2015, APM Terminals built the first fully automated terminal in the Netherlands, and Maroua was asked to move there to implement reliability initiatives in that high-tech environment. In 2016, she relocated as a senior reliability engineer, spending two and a half years translating reliability theory into real-world routines inside an automated operation where the margin for error is thin and the pace is unforgiving.
From the Netherlands, her career continued to Sweden, where she joined Mondelēz at Marabou Chocolate. She started in reliability, then moved into leadership as maintenance manager, leading a team of around 25 people and taking responsibility for additional functions such as the storeroom. Later, she moved to Nynas refinery in Nynäshamn, Sweden, as a reliability and maintenance manager. Six months before the interview, she took on her current role at Coca Cola Europacific Partners CCEP, as Senior Manager for Great Britain and Nordics, supporting multiple sites in their journey from reactive maintenance toward a proactive, reliability-driven way of working.
Across industries and countries, her path has been fast, varied, and unusually rich in perspective. She calls it a privilege. It also shaped the way she sees the gap that often exists between operational reality and strategic ambition.
Over the years, she has worked closely with maintenance teams and leadership groups alike. That dual exposure, she says, gives her a clear understanding of the operational challenges on the shop floor and the strategic gap that can appear higher up. Her job today is to close that gap. Not by writing strategies, but by making them executable.
“My role is really to translate strategy into execution. The mission is to help sites move away from firefighting and into a more structured, proactive approach. That translation work is where many transformations succeed or fail.”
In Maroua’s view, most companies already have strong ambitions. They talk about reliability, performance, and continuous improvement. They may even have clear corporate strategies. But the hardest part is not the vision. The hardest part is turning it into daily behavior for the people who keep the plant running.
“It’s not enough to have a structure, to have the strategy and all the theoretical part,” she says. “What I enjoy is how I can translate that into execution.”
That translation requires patience, and it requires communication that respects the reality of maintenance work. A new process is not a slide deck. It is a new habit. And habits do not change because someone announces them. They change because the people doing the work understand why the change matters, what it means for them, and how it improves their daily life.
Maroua often describes herself as a coach. She enjoys putting structure in place, helping teams become more data-driven, and building processes that make work clearer and more manageable. The satisfaction comes when she can see tangible change, step by step, in how a team plans, prioritizes, and executes.
This is where her leadership philosophy becomes practical. She emphasizes trust, flexibility, and empathy. She believes leaders must invest time in understanding the people they work with, adapting to different behaviors, and building a relationship strong enough to carry change through resistance.
“People are very different,” she says. “It’s important to adapt.”
Empathy is central to her approach, even though she once questioned it. Early in her leadership journey, she worried empathy might be a weakness, something others could take advantage of. She thought she needed to become tougher to be taken seriously. Over time, she realized the opposite. In maintenance, empathy can be a competitive advantage.
It makes a leader approachable. It makes it easier to connect with technicians and engineers. It makes it easier to get honest information from the shop floor, including feedback about what is working and what is not. And without that feedback, reliability programs remain theoretical.
“Whatever strategy you want to implement, if the people on the shop floor don’t adapt it, you won’t get any results,” she says.
Her experience across cultures has reinforced this belief. She has worked in the Middle East and across Europe, and she has learned that maintenance strategies are often universal, but implementation is not. The “what” can be standardized. The “how” must be adapted.
In global organizations, there is a natural desire to standardize. Common KPIs, common systems, common maintenance planning approaches. Maroua supports this. Standards create a reference point, a shared language, and a way to compare progress. But she is equally clear that routines must fit local reality.
Site size matters. Team composition matters. Production communication matters. Organizational maturity matters. A site that is early in its reliability journey cannot absorb the same level of standardization as a mature site without creating frustration and failure. Pushing a standard too rigidly, too fast, can backfire.
“We often push sites to just follow standards, but maybe on terms of maturity they are not there yet,” she says. “And then they fail.”
So, the balance is to keep the standard as the direction, while allowing each site to build its plan based on where it is today. This is not a compromise. It is change management. And change management, in maintenance, is always about people, she says.
That human dimension becomes even more visible when the conversation turns to diversity. Maroua has often been the only woman in maintenance teams across different countries. She acknowledges that the experience can be different. In many environments, a man in a leadership position may receive trust by default. A woman may have to earn it first, sometimes facing skepticism or subtle testing.
Her advice is grounded and direct. Do not overdo it. Do not fall into the trap of trying to prove you know everything. Do not lose yourself by performing a version of leadership you think others expect.
“Be yourself,” she says. “You don’t have to know everything. If you are in the position, you are there for a reason. Trust that. Focus on the job. Work with the team. Let results and consistency build credibility over time.”
When asked about challenges in the maintenance sector, Maroua points to a familiar and persistent issue: maintenance is still too often viewed as a cost center. In many leadership conversations, maintenance appears as a budget line to be reduced, not as a value driver to be strengthened. She believes this mindset must change, and she believes maintenance leaders have a role in changing it.
Maroua thinks that the language needs to evolve.
“Maintenance spending must be framed as investment, linked directly to business outcomes. Reliability is not an abstract technical goal. It affects productivity, quality, safety, and delivery performance. It reduces unplanned downtime and stabilizes operations. It protects assets and extends their life, and it makes planning possible.”
But to make that case convincingly, maintenance must be measured wisely. Here Maroua is critical of two common traps. Some organizations track too many KPIs, creating confusion and diluting focus. Others track the wrong KPIs, leading teams to optimize for metrics that do not drive real improvement.
Her recommendation is to start with a few critical KPIs, with clear baselines and targets, and then link them to daily activities so the team understands what they are doing and why. In her view, the focus should always cover people, process, and cost.
Among the most important reliability measures, she highlights MTBF, mean time between failures, as a core indicator of machine reliability and the effectiveness of maintenance practices. She also emphasizes MTTR, mean time to repair, as a measure of team efficiency, skill levels, and the time it takes to perform tasks, which can guide improvement efforts. And she stresses budget tracking, not as a cost-cutting exercise, but to understand where money is spent and whether it is invested wisely.
From there, the conversation naturally moves to digital transformation. Maintenance is already changing. Online monitoring for vibrations has been in place for years in many sites, though maturity varies widely. Now, AI pilots for predictive maintenance are emerging across industry.
Maroua sees both opportunity and risk. The opportunity is clear. AI can connect data sources that have long been fragmented. It can centralize machine history, OEM recommendations, previous failures, and maintenance actions into one platform. It can accelerate troubleshooting, support root cause analysis, and improve prediction and decision-making.
She mentions a pilot initiative focused on centralizing machine data into a single platform where engineers can quickly access a more complete operational picture. For maintenance teams that have long struggled with missing data, scattered records, and limited visibility, this represents a significant shift.
But she is careful not to oversell it. AI is not yet perfectly accurate. Data must be validated, tools must be trained, and perhaps most importantly, people must be prepared.
“There is data everywhere,” she says. “The challenge is not collecting more. The challenge is integrating it, translating it into actionable decisions, and embedding it into routines.”
She also acknowledges the human fear that comes with rapid technological change. People wonder what it means for their jobs. They worry about being replaced. They feel the pace of change is faster than their ability to adapt. In her view, organizations must address this proactively by planning skill development now, not later.
The future of maintenance, in her eyes, is not a future without people. It is a future where people work differently, with new tools and new competencies, and where the industry must invest in upskills to keep pace with technology.
Looking ahead five to ten years, Maroua hopes to see three shifts. A more diverse maintenance workforce, a more widespread adoption of AI and online monitoring that reduces reactive firefighting, and a broader recognition that maintenance is a value-added contributor to business performance, not a department that simply “drains money.”
Her own ambition is to keep learning and to contribute back to the maintenance and reliability community. Early in her career, platforms and publications helped her understand the field, learn from others, and find direction. Now she wants to be part of that knowledge loop, sharing experience and helping the next generation.
For young engineers entering maintenance, her advice is practical and optimistic. Be open-minded.
“Be patient. Reach out to people and ask questions, try new initiatives and approaches. Do not be afraid to fail, because failure is part of learning in maintenance. And always keep the core goal in focus: improving machine performance.”
Three practical takeaways from Maroua Ouerghemmi
1. Strategy only matters if it becomes a daily habit The success of reliability programs depends on whether maintenance teams can translate them into simple, repeatable actions that make sense in their daily work.
2. Standardize the “what”, adapt the “how” Global KPIs and systems create alignment, but local routines must reflect site maturity, culture, and organizational setup to avoid resistance and failure.
3. Digital transformation is a people project AI and monitoring can unlock huge value, but only if companies invest in skills, validation, and change management so teams can actually use the data to make better decisions.
Text: Mia Heiskanen Photos: Maroua Ouerghemmi archive
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Beyond technology: What will define maintenance winners?
Who do you think will be the winner in the future of maintenance? Will it be the organization that invests in the latest technology, or the one that best combines data, competence, and collaboration between people?
“Interesting question. In the food industry (my industry) the trend is moving towards “lights out” factories. We try to keep people out of the production process as much as possible due to food safety and food quality purposes. It also impacts on human safety. In this case not much human intervention is needed any more, only management of deviations. But in the end, even though it is just a small amount humans are still needed, so therefore I agree with Uday.”
Jan Teun Koningen EFNMS EHSEC (European Health, Safety and Environment Committee) Chairman
“If there’s one takeaway from the answers, it’s this: maintenance excellence is becoming a team sport across the whole organization, and often across whole infrastructure ecosystems. The winners will be those who can coordinate, not just optimize.”
Mia Heiskanen Maintworld Editor
As maintenance teams push deeper into digitalization and automation, the real differentiator is rarely a single tool. We asked three EFNMS committee leaders what “winning” looks like when technology, skills, and collaboration must evolve together.
“The organizations that leverage new technology, data, and human competence with their maintenance policy/strategy will be the winner. In future, maintenance excellence measured in terms of effectiveness and efficiency will depend on how successfully technology is integrated with maintenance work processes, workforce skill, and teamwork across the organization.”
Uday Kumar EFNMS ERMC (European Railway Maintenance Committee) Chairman
“I love the question and would like to add the perspective from infrastructure providers. Infrastructures are very much intertwined, and we face many forms of scarcity. The winners of the future in maintenance and asset management in the infrastructure are the ones that can collaborate to manage all interdependencies of infrastructures in times of scarcity.”
Giel Jurgens EFNMS EAMC (European Asset Management Committee) Vice Chairman
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From Summer Hire to Maintenance Engineer
A newly graduated chemical engineer steps into a high-tempo maintenance role at a stone wool manufacturing site where safety is treated as a daily discipline, not a slogan. At Owens Corning Paroc, early responsibility, structured onboarding and a team-first culture are key to turning young talent into long-term capability.
When Oskari Tarkkila started at OC Paroc Parainen plant, it was meant to be a summer job. A year later, he is a Maintenance Engineer coordinating daily work, planning longer-term maintenance programs and helping lead people and contractors in a demanding industrial environment.
Tarkkila studied chemical engineering at Åbo Akademi University and graduated this spring. He joined the company the previous May and completed his master’s thesis alongside the job, an applied study on how different parameters affect the performance and adjustment of vibrating stone feeders. “I’m happy with the outcome. I did it alongside work and stayed on the schedule I set for myself,” he says.
The transition from student to full-time engineer was accelerated by the variety of tasks he encountered early on. During the summer he also covered for both the mechanical maintenance supervisor and the electrical supervisor during holidays, giving him a broad view of how maintenance decisions ripple through production, safety and resourcing. “There’s a lot of problem-solving and being in between electrical and mechanical maintenance. Sometimes you have your own projects, and there’s a wide scale of things on your desk,” Tarkkila says.
His role includes daily task prioritisation, long-term planning, onboarding of contractors, running safety moments, and handling people-related topics such as shift coverage and holidays. The biggest challenge, he says, is the unexpected: equipment failures that disrupt plans and require calm, fast decisions. But those moments are also where the job becomes most rewarding. “We’re prepared and we can respond and get the line running again. And it’s really rewarding when you get it fixed,” he says.
For Tarkkila, the steepest learning curve has been mental rather than technical: staying composed while juggling multiple priorities. “It’s been about having many things going on at the same time and staying calm under pressure,” he says.
At OC Paroc, that pressure is balanced by a clear hierarchy of values. Safety is not presented as a separate program; it is embedded in daily routines and reinforced continuously. Tarkkila describes safety culture as something that must be actively built because it does not sustain itself. “Safety is always number one, but it doesn’t happen by itself. It takes constant effort,” he says. “We’re never in such a hurry that we would compromise safety. The priority is that everyone goes home in good condition.”
The environment makes that mindset essential. A stone wool plant with over 100 employees combines heavy traffic and lifting operations with hot surfaces and complex equipment, conditions that require constant situational awareness. Tarkkila notes that many of the risks discussed in generic safety training are present simultaneously in this kind of facility, which makes disciplined behaviour and clear practices critical.
Maintenance capability is built through both internal teamwork and selective use of contractors. The site’s mechanical maintenance team includes day-shift mechanics and plant technicians, supported by roles such as storekeeper, an electrical engineer and maintenance leadership. Contractors are used either as extra capacity or for specialised tasks. For a young engineer, this means learning to lead across different groups early, own employees, shift-based roles and external partners.
Because Paroc is part of a larger international Owens Corning group, knowledge sharing extends beyond the site. Tarkkila says collaboration with other factories is frequent, especially when troubleshooting: if a system is not working well in one location, teams reach out to peers elsewhere to learn how they solved similar issues. The exchange is often case-by-case, but it creates a practical network for spreading good practices.
From the HR perspective, onboarding and early development are designed to be local and hands-on while still aligned with broader company principles. HR Generalist Tuovi Helin says new employees are primarily trained locally because the needs of each site are best understood on the ground. “Onboarding happens mainly locally. Safety is the top priority, and we make sure people understand the site and safe ways of working,” Helin says.
For summer employees, the approach is team-based: a supervisor owns the onboarding, while an experienced colleague acts as a day-to-day mentor. New hires typically shadow for the first weeks and gradually take on tasks independently. Feedback is collected continuously to identify gaps and improve the process. “We gather feedback all the time, from the person being onboarded and from the person doing the onboarding, so we can see what’s working and what needs more support,” Helin says.
Summer recruitment is also a strategic talent pipeline. Helin notes that the Parainen site typically hires over 10 summer employees annually, with one or two roles in maintenance. The company uses its own career channels, LinkedIn and university recruitment events to reach candidates. In her experience, interest has been strong. “We’ve had a good number of applicants, and we’ve been able to reach the target groups we want,” Helin says.
In an industry where reliability and safety are inseparable, the story of a young engineer moving quickly from summer hire to a key coordination role highlights a broader point: maintenance organisations can attract and retain new talent when they offer meaningful responsibility, structured onboarding and a culture that treats safety as a shared daily practice not just a compliance requirement.
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How Utilities Are Using Asset Data to Improve Reliability: Moving from Passive Records to Strategic Assets
Utilities across water, district heating, and waste management are under increasing pressure to deliver reliable services while managing aging infrastructure and limited budgets. In this context, asset data has emerged as a critical enabler of better decision-making and operational performance. According to Krešimir Brckan, Director of Ekonerg Konzalting, a Croatian firm focused on helping utilities and infrastructure operators digitalize and improve asset management, the role of data in utilities has undergone a fundamental transformation over the past decade.
“If we look back ten years, asset data in utilities was mostly something collected and stored — often because it had to be. Today, it has become one of the key drivers of how utilities operate,“ Brckan describes.
More and more organizations are realizing that good decisions — whether about maintenance, investments, or daily operations — depend directly on the quality of their data. In that sense, data has moved from the background to the center of asset management.
“In practice, data no longer serves only to describe the past but instead it is increasingly used to shape future decisions,“ Brckan says.
“This shift marks a move away from reactive operations toward a more proactive and predictive approach, where data is central to reliability.“
The Right Data Matters More Than More Data: Improving reliability does not necessarily require vast amounts of data, but rather the right combination of information.
“Reliability really depends on connecting a few simple but essential pieces of information: what the asset is, where it is, how it has behaved in the past, and how it is performing today.”
When utilities combine basic asset information, maintenance history, and operational data, they gain a much clearer understanding of where risks are and how to prevent failures before they happen.
“It is often not about having more data, but about having the right data, structured in a meaningful way. This clarity enables utilities to identify weak points in their systems and act before disruptions occur.“

Overcoming Fragmentation and Data Silos: Despite the growing importance of data, many utilities still struggle with fragmentation.
“One of the most common situations is that data exists — but it is scattered, inconsistent, or incomplete. Different departments often keep their own records, sometimes in spreadsheets, sometimes in legacy systems, and sometimes only in people’s experience.“
Brckan notes that improvement usually starts with a simple step: agreeing on a common structure and taking ownership of data quality.
Technology helps, but the real change comes when the organization treats data as something valuable that needs to be actively managed.
“Data does not create value on its own: it becomes valuable only when it is structured, trusted, and used in everyday decision-making. Breaking down silos and establishing consistent data practices is often the first—and most important—step toward reliability improvement.“
From Reactive to Predictive Maintenance: Structured and reliable data enables a fundamental shift in maintenance strategies.
“When data is structured and reliable, maintenance becomes much more predictable. Instead of reacting to breakdowns, utilities can plan interventions based on actual needs.“
This means fewer surprises in daily operations, better use of resources, and ultimately more stable and reliable service for customers.
In many ways, this reflects a broader shift from reacting to problems to anticipating them.
“This transition reduces unplanned downtime while improving service continuity.“
Real-World Impact: From Symptoms to Root Causes: The benefits of better data are not theoretical—they translate directly into operational improvements.
“In one of our projects, a utility was dealing with frequent failures in critical equipment but lacked clear insight into the reasons behind them.“
Once they improved how maintenance activities and failures were recorded, patterns quickly became visible. This allowed them to address root causes instead of symptoms, which significantly
reduced failures and improved overall reliability — with clear cost benefits as well.
This example highlights how even incremental improvements in data quality can unlock significant value.
Digital Tools as Enablers: Modern technologies are accelerating the use of asset data in daily operations.
“These tools make it much easier to collect and use data in everyday work.“
Technicians can record information directly on-site, sensors provide continuous insight into asset condition, and more advanced tools like digital twins help simulate and understand system behavior. Together, they enable faster reactions and better decisions.
However, it is important to remember that digital tools do not solve problems by themselves, they amplify the quality of the processes and data behind them.
In other words, technology enhances, but does not replace, the need for strong data foundations.
Managing Aging Infrastructure with Data: Aging assets remain a major challenge across utility sectors in Croatia as elsewhere in Europe as well, but data provides a way to manage this more effectively.
“Aging infrastructure is a reality for most utilities. The key question is not just how old an asset is, but how it is actually performing.“
Brckan notes that with good data, utilities can make more balanced decisions — extending the life of assets that are still reliable, while focusing investments where the risk of failure is highest. This leads to better use of limited budgets.
“This performance-based approach ensures that investments are targeted where they deliver the greatest impact on reliability.“
The Rise of Predictive Analytics and AI: Looking ahead, predictive analytics and AI are set to further transform maintenance practices.
“We are moving toward a more predictive approach, where potential issues can be identified before they turn into failures.“
Brckan sees AI and predictive analytics increasingly supporting early detection of failures and optimization of maintenance schedules. However, their success will depend heavily on data quality and availability.
In the near future, we will see more accurate failure predictions, automated decision support, and tighter integration with operational systems.
Predictive maintenance does not start with algorithms. It starts with consistent and reliable data.
But the key message is that AI and analytics amplify good data. It does not replace the need for it.
A Cultural Shift Toward Data-Driven Decisions: Technology alone is not enough—organizational change is equally critical.
Brckan says that the biggest change needed within organisations is a shift in mindset. Data should not be seen as something technical or administrative, but as a tool that helps everyone make better decisions. This requires closer cooperation between teams, clear responsibility for data, and a willingness to rely on data instead of habits or assumptions.
Utilities that embrace this mindset will move faster: those that treat data as a strategic asset will outperform those that see it as a byproduct of operations.
Start with Data, Not Technology: For utility leaders beginning their digital transformation journey, the Brckan’s message is clear:
“Start with a clear and realistic foundation. Start with data, not technology.“
Many organizations invest in advanced systems without first ensuring that their asset data is structured and reliable, Brckan warns.
“It is tempting to jump straight into advanced technologies, but real value comes from having reliable and well-organized data. Once that foundation is in place, everything else becomes much easier and more effective.“
Digital Monitoring Becomes Essential as Ageing Water Networks Struggle
Europe’s water utilities are under intensifying strain as century-old infrastructure, climate-driven extremes and rising operational costs push networks beyond their design limits.
A recent analysis from Smartvatten, a company specializing in water efficiency, shows that monitored European properties lost nearly 772 million litres of water to leaks in a single year. This is equivalent to more than 300 Olympic-size swimming pools—with a financial impact exceeding £2.6 million.
Much of Europe’s pipework is over 100 years old, and hidden leaks can persist for days before detection. This increases non-revenue water, drives up emergency repair costs and exposes the limits of a long-standing strategy in which utilities “sweat” ageing assets rather than replace them. As demand grows and extreme weather events become more frequent, this approach is proving increasingly unsustainable.
A shift toward digital monitoring and real-time network intelligence is now accelerating. Smartvatten’s report highlights how continuous data collection enables earlier leak detection and more efficient water use, marking a broader transition from reactive maintenance to proactive asset management.
Acoustic leak detection technologies are central to this shift. Ovarro’s
Enigma5 fixed acoustic logger continuously monitors pressurised water networks, listening for the high-frequency signatures that indicate developing leaks. In Hamar, Norway, the system detected a leak releasing 600 cubic metres of water per day before any visible signs appeared. Left unaddressed, the loss would have cost the utility around £2,350 per day, or nearly £870,000 per year.
By identifying leaks earlier, utilities can reduce emergency interventions, avoid service disruptions and plan long-term infrastructure investments more effectively. As Europe’s water networks continue to age, digital monitoring is becoming not just an efficiency enhancer but a critical tool for maintaining resilience, the article concludes.
Source: Energy Live News, 12 March 2026
About the Interviewee

Krešimir Brckan is the Managing Director of Ekonerg Konzalting, a firm specializing in digital transformation and asset management solutions for infrastructure-intensive industries. With a background in mechanical engineering and hands-on experience in industrial maintenance and power generation, he leads projects focused on data-driven asset management across utilities, energy, and industrial sectors.
Text: Nina Garlo-Melkas Photos: EKONERG Konzalting
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Strengthening critical infrastructure security Why situational awareness is essential amid global instability
Security is a top priority for any organisation responsible for safeguarding critical infrastructure. However, recent events have highlighted the fragility of the global energy supply chain and the need for change.
When tankers cannot safely navigate the Strait of Hormuz, fuel prices rise and public anxiety grows. This often results in long lines at the fuel pump and fears of shortages quickly becoming a self-fulfilling prophecy.
The reality is that critical infrastructure will always be a target because those seeking to disrupt, cause harm or force change — militarily, economically, politically or socially — understand both its physical and psychological impact.
Regulating for resilience: While headlines focus on political debates over who should keep shipping lanes open, critical infrastructure organisations and governments are moving forward with new physical and cyber safeguards to protect sites closer to home.
Weeks before recent events in the Middle East, the U.S. Cybersecurity and Infrastructure Security Agency (CISA) released its 2025 review outlining major actions taken to strengthen national cyber and physical defences. Meanwhile, in Europe, the Critical Entities Resilience (CER) Directive will take effect across the EU in July, with member states such as Germany advancing early through its KRITIS framework to establish a model for CER compliance.
These initiatives extend to energy supplies, from power stations (gas, electricity and nuclear), refineries and pipelines, substations, water treatment facilities, data centres and food production. And while increased investment in renewable energy may reduce reliance on overseas supply, wind and solar farms remain potential targets as well. Fortunately, the likelihood of missile strikes on critical infrastructure is low in many regions. But the risks of trespassing, espionage, sabotage, terrorism and protest activity are far higher.
Protection and detection: Security levels vary widely across critical infrastructure. A large power station may employ live-monitored CCTV, video analytics, alarms, sensors, access control, fencing and other heightened defences. In contrast, a rural electrical substation may rely on a single unmonitored camera, a perimeter fence and a basic alarm.
Despite significant annual investment, organisations often lack the ability to connect these systems. Without integrated systems, real-time situational awareness — understanding what happened, how it began, what is occurring now and how to respond — is nearly impossible. Operators typically manage large portfolios of sites spread over vast and often challenging geographies. Only by integrating siloed systems and linking multiple sites into a centralized operation can true enterprise-wide visibility be achieved.
For example, a perimeter breach at a substation might initially appear to be an isolated incident. But combined with a similar incident at another site, it could indicate the start of a coordinated attack.
A centralized insight layer (often referred to as a PSIM — Physical Security Information Management system) ensures incidents are detected using all available resources. A perimeter alarm — triggered by a steel fence sensor or a 3D LiDAR system — initiates an alert and the video management system automatically displays the relevant live camera feed and recent footage. Operators can follow predefined workflows to lock down areas, dispatch first responders or initiate evacuations. Automated actions, such as playing recorded announcements over public address systems, can also occur.
Rapid, effective response is essential for safety, security and ensuring uninterrupted service to customers.
Resilient supply chains require security measures that function from the source to the point of service. Recent geopolitical and environmental events, such as severe flooding, have shown how quickly disruption to one link can trigger widespread consequences. However, critical infrastructure operators can strengthen resilience by leveraging the robust systems they already have, improving their ability to detect and respond to threats.
About Octave
Octave provides mission-critical software that empowers organizations to make informed decisions across every stage of the asset lifecycle — Design, Build, Operate and Protect — where performance, safety, and reliability are non-negotiable and failure is not an option. Turning complex operational data into actionable intelligence, Octave connects expertise, real-world conditions and enterprise-scale insight to improve performance, resilience and incident response where it matters most. Octave has approximately 7,200 employees in 45 countries.
Text and Photo: Andreas Beerbaum
