Clir Renewables celebrates a successful first year in Europe

Clir Renewables celebrates a successful first year in Europe

 From one to fourteen clients in 12 months.

This month Clir Renewables is celebrating the first anniversary of opening its Glasgow office. The Glasgow base was set up, with the appointment of Craig McCall as Director of Europe, to support the expansion of their business in the region. In just a year, Clir Renewables has taken its European client base from a single client with just over 200 MW to exceeding 1GW of assets across fourteen clients.

“The last year was challenging at times as the sole person in the region initially, but it has continuously delivered rewarding moments. A few that stand out are signing the first new European client since the company started, moving to our third office space within a year, and surpassing the 1 GW mark in Europe,” said McCall.

On leaving the stability of a large organization for a start-up, McCall said, “It was extremely clear from the outset that the product was capable of more than I had witnessed in the market.” From a home office, supported by the team in Vancouver, Canada, Clir strategically targeted potential clients across the continent with excellent results securing additional projects in the UK and adding Ireland, Italy, Greece, France, Denmark, and South Africa to the list.

In the final quarter of 2018, Clir moved into its first office space in Glasgow, Scotland when Regional Manager, Brad Hodgson and, Marketing Manager, Mairead McMullin, joined the operation. An additional recruitment drive early in 2019 required a move to a larger office space. The recent addition of Marco Bianchini and Adrian Carnegie to the dedicated European team brings Clir’s global headcount to forty-two with numerous positions set to be filled in the coming months.

Clir Renewables CEO, Gareth Brown, said, “Opening the office in Glasgow was a strategic move to get a larger share of the European market. We have, and continue to build, a highly experienced team in Europe to support our clients in the region. The SaaS market for renewables in Europe is well established, and as a result, it is highly competitive. In addition to providing reporting and greater visibility for owners on their assets, our highly qualified team’s ability to support clients with clearly defined actions to improve performance and reduce costs has set us apart in the global market.”

Clir Renewables now supports over 4 GW of assets globally and continues to expand its European operation through the Glasgow base.

Clir Renewables makes awards shortlist

Clir Renewables makes awards shortlist

Clir Renewables shortlisted for start-up of the year at the European Wind Investment Awards

Wind optimisation software company Clir Renewables is named on the shortlist for the European Wind Investment Awards in the start-up category. The inaugural European Wind Investment Awards celebrate best practice in the European wind industry as it transitions to a zero-subsidy future. Hosted by A Word About Wind, the award winners will be announced at a black-tie dinner in London this October.

Clir Renewables provides a solution developed for wind farm owners, designed by renewable energy experts. The cloud-based AI platform provides asset managers and owners with tools to maximise annual energy production and provide clarity on portfolio performance. Founded in early 2017, the company now supports over 4 GW of assets worldwide with clients typically seeing increases of up to 5% in Annual Energy Production in the first year. Headquartered in Vancouver, Canada, the company opened its European office in Glasgow, Scotland, in 2018.

Craig McCall, Global Director of Business Development, said “We’re delighted to make the shortlist. It is great for the Clir Renewables team to receive industry recognition for all the hard work put in over the last two and a half years. We face tough competition in our category but wish everyone shortlisted the best of luck and look forward to the awards ceremony.”

The start-up category recognises the progression and positive impact of companies who entered the wind industry within the last five years. Clir Renewables is competing with High Speed Energy and Ripple Energy for the prize.


View the full shortlist

Detect the undetected with Clir’s new feature

Detect the undetected with Clir’s new feature

Using peer-to-peer trending, Clir users can now detect changes in data that lead to false analysis.

Clir Renewables has just announced P2P, a new feature for their Data Exploration Environment. Clir’s Data Exploration Environment, Clir Explore, is a unique tool in the renewables space. Using informative data visualizations and pre-populated data variables Clir Explore allows users to view and manipulate streamlined data sets which narrow in on specific performance issues. Clir Explore makes complex analysis simple by providing the specific variables to use when identifying different kinds of anomalous turbine behavior and is comprised of 12 different features each manipulating data differently to identify underperformance. This new feature, P2P, adds to the products suite of capabilities by enabling peer-to-peer trending analysis for turbines. 

Comparing concurrent turbine data is a vital part of a complete wind farm analysis. Clir’s peer-to-peer trending tool makes it easy to detect anomalous behavior and trending over time. For example, it allows our clients to spot anemometer drift and other sensors needing to be recalibrated, as well as subtle differences in power or pitch curve behavior. The P2P tool uses concurrent data, and it’s possible to filter out any non-full performance data. P2P gives analysts a tool to analyze turbine operating data between two selected turbines and was developed to solve the problem of detecting degrading turbine components, to clean up data, and enable better analysis.

The P2P tool allows the user to compare any two turbines in their wind farm and select the variable they want to compare. Among the variables available are power, wind direction, wind speed, blade pitch angle, and generator speed. The results can be colored on time period, nacelle position, or wind directions, which means the user can easily identify if patterns are time depended or direction dependent. The scatter plot and overlaying linear regression, makes it easy to spot outliers. 

Detecting anomalous turbine behavior is easier and faster than before with the P2P tool. “Before our clients started using Clir they didn’t have the data model or tools to get their hands around numerous wind farms. Not only do you need to know what kind of underperformance you are looking for, but you also need to know which variables to use to complete the analysis. With our workbooks, users can use Clir’s catalogue of visualisations and create their own visualizations utilising the Clir data model.” says Gareth Brown, CEO of Clir Renewables.

Want to know more about how P2P could work for your portfolio?

Successful close to investment round for Clir Renewables

Successful close to investment round for Clir Renewables

Clir Renewables secured a C$1.9m investment following discussions with multiple investors.

Canadian renewable energy company, Clir Renewables, has successfully closed an investment round, securing C$1.9m. The SaaS company has developed a renewable energy AI platform that helps wind farm owners and operators to maximize production and provides clarity on performance risk for all interested stakeholders.

Gareth Brown, Clir Renewables CEO, says, “It’s exciting times here at Clir. We secured this bridge financing to put us in a sound financial position to continue to grow the company globally and develop our domain-specific AI. It’ll allow us to continue to lower the cost of renewable energy and give us time to find the right Series A investor later this year. It’s fantastic to see so many of the previous investors reinvesting in the company and bringing in impact and renewable industry expertise investors from North America and Europe will align a lot of expertise with the company to facilitate a massive global impact. With a bit of luck, we’ll have over 10% of the world’s wind farm owners paying to use our platform by the end of June. We need to remain humble and focus on execution to drive our industry forward to lower cost of energy”.

Clir Renewables was previously awarded funding through Sustainable Development Technology Canada (SDTC), a Canadian government support for entrepreneurs accelerating the development and deployment of globally competitive clean technology solutions. The company also secured C$2.1m in a seed-stage financing round in 2018. This latest investment enables continued product development, strengthening existing features, and releasing new feature from the product roadmap.

Mike Winterfield, Founder and Managing Partner of Active Impact Investments, commented, “We have been watching the success of the Clir Renewables team for over two years and are thrilled to get an opportunity to support them in accelerating their global expansion. Climate change requires an urgent shift from burning fossil fuels, and the insights provided by Clir’s software will continue to drive the costs of renewable energy down so it becomes the obvious choice in all markets.”

As Clir Renewables gains more market traction, it is considering sourcing larger investors to assist in capitalizing on this traction and increased interest in the software.

Wind Engineer AI learns to detect turbine failures early

Wind Engineer AI learns to detect turbine failures early

Replacing components in a wind turbine is a costly procedure, especially if required urgently; however, it can be avoided or planned for by on-going monitoring of temperatures.

Canadian optimization software company, Clir Renewables, has released its latest AI feature. The Clir AI platform has evolved to learn how to identify anomalies in component temperatures to detect failure at an earlier stage.

Maintenance budgets for wind farms account for the majority of associated OPEX. These planned budgets can be shattered if unexpected repair is required due to a component failure. Increased expenditure is not the only cost involved with unexpected failures. When a failure occurs, the turbine can be out of operation anywhere from a few days to a few weeks, dependent on sourcing replacement parts or required machinery in a quick timeframe. This downtime can result in large quantities of lost energy generation.

The question is, can you predict and prevent component failure? The answer is yes. Clir AI can learn temperature behaviour in the context of the real world operational environment anomalies or trends that could be utilized to identify when a component is operating at higher than expected temperatures under certain conditions like increased loads. Once identified this information allows owners and operators to assess components for signs of degradation which if ignored could lead to catastrophic failure.

Clir AI can remove some of the unknowns around unexpected failures by creating actions for the owner or operator to investigate the turbine further. The challenge for wind farm owners is the amount of data and its context. Simple peer to peer trending or other limited algorithms have shown time and time in our industry to frequently lead to false positives that cost owners money and impact confidence and trust in data analytics platforms.

This type of detection is difficult; turbine components heat up and cool down in different ways. Inconsistent measurement instruments between components and temperature are often driven by the conditions leading to a moment in time rather than specific live conditions. Clir AI puts the data in context and takes into account a variety of factors including, but not limited to, service information, ambient temperature, rotor speed, ramping up and down, and seasonal variations. Based on all of this information, Clir AI learns a model of the behaviour pattern for the turbine. If the temperature varies outside the probabilistic range, the system creates events and actions on the system. It reports multiple grades of severity, based on how much the trend deviates from the expected behaviour and learned failure models in the turbine.

As an independent system, Clir seamlessly integrates this detector with its other features, providing a multitude of information and actionable insights in one place.

“We really wanted to focus on building detection that has limited false positives, so the tool isn’t wasting peoples’ time while maximizing the benefit of early fault detection,” says Clir CEO Gareth Brown. “The approach maximizes the use of the data to drive improved performance, and crucially it can be scaled across all turbine technologies and as components are upgraded or replaced. It’s exciting to see when we take deep domain expertise and apply the latest and greatest AI techniques what we achieve”.


Image: Clir Renewables

Customer Success Team Profile

Customer Success Team Profile

The key ingredient in the recipe for a successful business is a successful client. To achieve success you need a good product and excellent customer support. The latter is what Clir Renewables’ Customer Success Team provides. Our Customer Success Team consists of engineers dedicated to working with clients to get the best out of their portfolio using Cir AI.

The Customer Success Team first get involved when onboarding projects to the platform, working with clients to make the process as smooth as possible. From this point, they are in regular contact with clients providing training on how to navigate the system and get the best results from the tools and data available. Supporting clients utilize the Clir AI tools to optimize production from their portfolio and highlight when anomalies arise in the data that require further investigation by the client are key focuses for the Customer Success Team.

The relationship between clients and Customer Success Managers is two-way, our clients provide important feedback on system features and functionalities. This is an important element of the relationship enabling us to continue to improve our product offering.

Customer Success Team members hail from companies with a background in renewable energy engineering, including Innergex, SgurrEnergy, DNV-GL, Vattenfall, Natural Power, Blu-tility Wave Power Inc. and ESB (Electricity Supply Board Ireland).


Image: Unsplash

Meet Customer Success Manager Erin Quon at AWEA Windpower 2019.

Join our Customer Success Team in Vancouver or Glasgow.