Kelvatek

Today's disruption at Heathrow due to the substation fires is a stark reminder of the critical impact transformer failures can have. While the exact cause of this incident remains unclear, we do know that transformers can and do fail.    “Some transformer failures progress very quickly and can be catastrophic. However, with online transformer monitoring we can see early warnings for developing fault conditions. This can allow the transformer operator to prevent in-service failures.” - Nathan Jacob, Senior Asset Specialist at Camlin Energy   This incident underscores the crucial role transformers play in daily life and the need for their dependable operation. Embracing condition-based maintenance practices, including continuous monitoring, regular testing, and expert support in condition assessment, is essential to protect your critical assets. #TransformerMonitoring #Safety #Infrastructure #Transformer

The Kelvatek team would like to congratulate, Ranil Sharma on his new role as Regional Managing Director for Australia and Southeast Asia at Camlin Energy. Ranil's extensive experience and impressive track record in driving growth and innovation will be a tremendous asset to the team. We look forward to collaborating and achieving new milestones together. #Welcome #Australia #SoutheastAsia #Growth #Innovation #EnergyNetworks

Kelvatek’s cutting-edge LineSIGHT technology is transforming power networks by detecting faults before outages occur. After the devastation of Storm Arwen in 2021, which left 1 million homes without power, this innovation is essential to the UK electricity network. #LineSIGHT enables Electricity North West to pinpoint faults within 250 meters or less, speeding up repair times and enhancing safety which is of critical importance to network operators. Combined with Kelvatek’s PERCH solution, it’s set to improve storm response and keep power flowing during extreme weather conditions. Additionally, the integration of LineSIGHT with Kelvatek’s Sapient data management platform provides an overview of the network topology, enhancing overall safety. This report highlights the vital role LineSIGHT will play in building a stronger, more resilient network infrastructure. Check out the report | https://lnkd.in/ehanX9Pj #UtilityWeek #PowerResilience #StormResponse

Transformers are critical to renewable energy projects, ensuring efficient voltage regulation and power transmission. However, they can and do fail. In our latest blog we take a look at the key components in a transformer and why they fail, detailing how an appropriate asset monitoring strategy could help mitigate the risk of failure, preventing project downtime and the associated financial impact. Find out more: https://lnkd.in/eAHfttU6 #RenewableEnergy #TransformerHealth #KelvatekTOTUS #PowerSystems #AssetManagement

At Kelvatek, our commitment lies in assisting DNOs in unlocking value from their data. We prioritise enhancing the performance and utilisation of network devices, streamlining fault management, and providing crucial support to engineers in the field. Through collaborative partnerships we achieved significant milestones in #ED2, see below; #LvMonitor #DistributionNetwork #FieldSupport #NetworkHealth #DataAnalytics

When implementing a transformer monitoring solution, it is important to consider the economic implications of adopting this technology. Online transformer monitoring emerges as a cost-effective solution, particularly when considering the potential revenue loss associated with high-value transformer failure. In our latest blog post we explore the financial advantages of online transformer monitoring for your wind energy project and outline how to calculate your projects ROI. Find out more: https://lnkd.in/eAfpWQz8 #Renewables #TransformerMonitoring #Kelvatek #Technology #Innovation

Currently being deployed in its thousands across the UK electricity network, PRESense is enabling the proactive management of #LV networks. As well as delivering on the long-term benefits for load management and asset health, #PRESense predicts the time, type and location of faults before they occur, and customers are impacted. This allows for the prioritisation of repair activities or the deployment of fault management devices. Find out more; https://lnkd.in/erCkt2df #EnergyNetwork #LVMonitor #NetworkHealth #Visibility

Aging low voltage (LV) infrastructure and increasing demand from the growing penetration of Low Carbon Technology (LCT) are leading to more frequent faults and greater strain on the LV network. In this challenging environment, effective fault management is crucial to maintaining  network stability and reliability. Kelvatek’s LV Resilience Monitoring & Incident Support solution tackles the critical issue of maintaining LV network stability amidst these pressures. It addresses challenges such as predicting, identifying, and locating faults rapidly, minimising downtime, and therefore ensuring a reliable network. Find out more | https://lnkd.in/eHBW4yBZ #LowVoltage #NetworkOperators #LVMonitor #IncidentSupport #DNO

As the renewable energy market continues to grow, so does the need to understand your wind farms vulnerabilities. Asset Managers are now facing the challenge of identifying and investing in the right technologies to deliver insights into asset health to reduce risk and maximise performance. Discover how the right transformer monitoring solution can upscale your efficiency and reliability with Kelvateks brochure, “Transformer Monitoring for Wind Energy”. Download now | https://lnkd.in/eWbvEhFM #RenewableEnergy #DataDriven #TransformerManagement #WindFarms

Introducing Sapient, Kelvatek’s latest software solution. Sapient is a suite of software applications underpinned by an industry specific data management platform. Sapient provides energy operators with unmatched visibility of their networks and assets. Enabling its users to predict performance, make targeted interventions and investments, optimise operations and reduce costs. Find out more: https://lnkd.in/ewxjXzgj #Sapient #EnergyNetwork #SoftwareSolution #NetworkOperator