i4SEE provides you with direct access to a team of experienced professionals, using best-in-class software to analyse and optimize your fleet. We work with you to enable a transition to predictive operations and maintenance.
There is a gap between recommendations derived from data analytics and the actions being carried out on the assets. This gap is between departments within companies, but also between the asset owner, operator and OEM. Adding more tools or reports to the mix has the risk of widening rather than shrinking this gap. We are finely attuned to how our customers are working and how they would like to work better. We provide practical guidance and advice to help our customers minimize this gap whether they have 100 MW or 1 GW.
For owners and operators of renewable energy portfolios wishing to maximise the production of their assets, but faced with the pressures of high costs, risk and workload, i4SEE provides an optimization service that helps to transform existing operational data into increased financial returns.
Unlike many other providers of wind turbine data analytics, we do not create additional effort for your organization by delivering complex tools or lengthy reports. i4SEE provides you with direct access to a team of experienced professionals, using best-in-class software to analyse and optimize your fleet. We work with you to enable a transition to predictive operations and maintenance.
A revolution is now on the horizon. Recent technical innovations provide the framework that is needed for a more complete implementation of predictive maintenance.
Analysis of operational data and service documentation from large numbers of turbines has demonstrated significant potential to increase the power performance of individual turbines, reduce overall downtime and reduce O&M costs through the selective introduction of a range of analytical and predictive methods.
However, this potential is only fully realised if the results of such analysis are properly integrated into operational processes. The main obstacles to achieving the transition to a methodology such as predictive maintenance appear to be of an organisational nature, rather than technical. The wind turbine service market is complex and dynamic, with turbine manufacturers, owners and independent service providers jostling for position. Responsibilities and contractual motivation appear to change faster than technology providers and change management teams can implement new solutions.
Self learning, adaptive models to simulate healthy turbine behaviour and detect faults. Rapid onboarding and learning allows brand new wind farms to be analyzed without long periods of historical data.
Full automation of the entire analytics process from data collection, data validation, analysis and reporting.
Modular software design based on a suite of individual Applications, allowing us to deliver exactly what you need.
Statistics and machine-learning combined with physics and engineering, to produce efficient but transparent models.
“The i4SEE applications provide wind turbine operators with value at all levels. Those with less experience in data analytics will gain completely new insights into the condition of their assets. For those with more experience, the automated tools enable efficiency improvements and ensure that nothing is missed.”
“Due to the high level of automation, the i4SEE Applications are ideal for a large fleet such as ours. We are working closely together with i4SEE TECH to integrate the tools into our operational processes, providing transparency across our organisation and ensuring that priority issues are dealt with as early as possible.”
“It is a pleasure to work with the team at i4SEE and they consistently provide us with an excellent service. By combining deep knowledge in renewables with highly efficient software tools, they are able to perform complex analysis tasks extremely quickly. Their fast response and high quality results are of great value to us.”
“We have a very successful cooperation with i4SEE TECH with great results. It was very easy to setup the software and include it as part of our operational processes. Their analysis results have enabled us to detect several major component defects in our turbines, allowing us to plan proactively and avoid expensive failures.” Read the Case Study.
“In cooperation with i4SEE, Eolus has established a process which uses data analytics to ensure maximum turbine performance. i4SEE supports our team of technical managers with analysis applications and domain expertise, enabling us to swiftly investigate and report on issues. This increases the team’s efficiency and helps us to manage even more assets in the Nordic region.”
“Historically, the operation of our turbines has been very much a black box, but we are now determined to look inside, though worried that we might drown in data. i4SEE’s systems will make sense of all the disparate data streams and allow us to see what matters, and what we need to do when.”
“We asked the team at i4SEE to analyse a wind farm which had been experiencing a shortfall in output over the past few years. They correctly identified the root cause issue and gave us the answers and the action plan that we needed. We have found the work of i4SEE to be efficient, reliable and accurate and we can highly recommend them to anyone in the industry.”
“We turned to i4SEE for SCADA data analysis, since there is so much to be learned from the data and i4SEE’s efficient analytics provide a valuable extension to our offering.”
“As an operator of renewable energy assets, i4SEE answers your main question: Does every wind turbine perform as I expect it to? i4see provides this information at a detailed level every month. You could only achieve this yourself with enormous effort. The product is constantly developed in close collaboration with the customer. A recommendation for everyone who wants to know exactly.”
“If you are looking for a reliable, accurate and affordable tool for condition monitoring of your wind turbines, you need to check out i4SEE. They took the time to figure out our needs and goals as a company and gave us a few excellent solutions to choose from. We accomplished detecting abnormalities and small damages at the early stages, thanks to i4SEE ‘s modules such as i4SEE Heat and i4SEE GearDrive. Consequently, we are avoiding sudden failures of key components on our fleet. It is a great accomplishment considering the size, variety of turbines’ types and geographic locations of our assets. What we love most about i4SEE is that it can work accurately based on SCADA data thanks to their smart computation model and their knowledge of the wind industry. We cannot end this testimonial without mentioning the courtesy that the i4SEE team has always shown us and the quality of their customer services. We definitely recommend i4SEE to everyone we know.” Read the Case Study.
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