The future of performance monitoring

Traditional measurement techniques and analysis with power curves make it hard to detect meaningful deviations in a timely fashion.

As an O&M focussed engineer, you are often left relying on large changes to power curves to detect issues.

It will not surprise you to find out that in recent studies it has been shown that some wind speed readings are not only inaccurate but can also show false information due to the complexity of the modern control system that they are integrated within. This means that decreases and even apparent increases in turbine performance need to be validated before taking action. Due to your already heavy workload, this evaluation can become a monumental task that leaves high-priority and resolvable issues undetected.

Wind AI™ will support your daily analyses as well as help you get to the bottom of emerging issues quickly. Being able to identify, diagnose, and action threats to your turbines faster means that you can reduce day-to-day pressures and start planning instead of fire-fighting.

As an added benefit Wind AI™ has built-in and automated performance reporting that saves days of work per month and includes advanced metrics like turbine performance loss. Our wake-adjusted production forecasting combined with new state-of-the-art performance monitoring enables you to run O&M the way that you have always known it should be run.

Compared to downtime and availability the detection of minor changes in turbine performance may seem trivial.

However, as a site manager, you will know that small improvements in O&M strategy, through being proactive and using data intelligently, can lead to major increases in production, whilst predictive maintenance can provide a step-change in availability as a consequence of detecting issues earlier.

Additionally, it has been determined that many sites have fixed load-factor targets and it is often you who are under pressure to deliver them. Wind AI™ supports you by automatically calculating the possible load factor with the Wind AI™ Hyper-Twin™, giving you the metrics and tools by which you can readily seek improvement at your site.

Wind AI™ provides trusted data-driven insights, enabling you to identify performance problems early – ensuring you can take the necessary actions to achieve your site production and availability targets, consistently.

Wind AI™ provides a consistent approach to performance reporting across your fleet, in fact, it provides unified reporting with advanced analytics.

Whether you have a fleet Monitoring and Diagnostics (M&D) center or local-site performance monitoring teams, Wind AI™ enables your workflow.

Wind AI™ enables you and your teams to know exactly how every one of your turbines is performing, all of the time.

Collaborative working directly with your site teams will support you to prevent future losses and downtime, meaning that your fleet will run optimally and every decision will be data-driven.

Because you operate a fleet you can capture and standardize your knowledge base to mitigate the risk of knowledge and competency loss as engineers retire and empower every site to know how to detect or solve any problem that has been seen before on any site.

Wind AI™ can be customised to integrate with your future O&M projects, including further A.I. innovation and automous solutions.

The Wind AI™ architecture and Cognitive’s Information Security Management System (ISMS) is designed in accordance with GDPR, ISO/IEC 27001:2013, ISO 22301:2012, ISO 2000-1:2011, and ISO 9001:2015.

IIOT data connections can be made to the Wind AI™ technology in several ways however our customer’s preferred methods have included: VPN (OPC, SQL, PI API), Bazefield API, and even sFTP.

Wind AI™ is an applied A.I. technology that is deployed through the Azure cloud as standard. Deployment, however, is flexible, and we will work with you to make the technology meet your needs.

Wind AI™ uses the true benefit of cloud, architectural scale. It creates millions of models to map complex patterns in your IIOT data and provide real insights through the Patent Pending Hyper-Twin™. Cloud deployment enables Wind AI™ to effectively distribute workloads and horizontally scale data storage and retrieval.

Wind AI™ can be connected using any protocol and the outputs can even be plugged back into existing data systems such as SQL, PI, SAP, Maximo, Bazefield, etc. enabling you to get the most out of the technology for your organisation.

The existing software can be updated, white-labeled, and bespoke requirements, applications, and integrations can be built and plugged in.

New interfaces for data historians, CMMS systems, or other monitoring technologies can also be built upon request.

You probably already suspect that underperformance and PBA losses are costing you more than you currently know.

A 4% AEP increase (beyond standard analytics) is equivalent to installing a new 400MW wind farm in an existing 10GW fleet.

You will also know that most large asset-centric industries are in the data-dark ages. Data is siloed, and each employee relies on spreadsheets and basic analytics systems to perform their role.

Using unified data and analytics systems like Bazefield or OSIsoft PI is a great start, but the complexity of specific problems like performance and O&M optimisation cannot be easily solved by just increasing your amount of data or data-science resources.

Wind AI™ plugs into your existing digital architecture and immediately helps you to improve asset performance through visibility of incredibly difficult to calculate metrics.

You can drive measurable revenue benefits by improving the efficiency, profitability, safety, and sustainability of your business through actioning new insights which are currently invisible to your organisation.