Minimize OPEX and CAPEX

Global project data can support reduced operational and capital expenditure. Backed by machine-learning algorithms, efficient data processing and support from technical experts, Clir’s data and software enable an evidence-based approach to optimizing contractual negotiations, reducing insurance costs and improving overall operating efficiency.


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Improved financing, debt and insurance terms

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Optimize O&M strategies and performance

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Reduced reliance on external teams

Evidence to support improved debt terms

Data from operations, alongside insight from industry data, facilitates reduced uncertainty in energy yields. By evaluating the results from thousands of energy yield configurations, and replacing standardized assumptions with data-driven predictions of production and loss factors, owners can challenge independent engineers to increase p-values or communicate greater certainty to lenders for improved debt terms.

Two graphs showcasing Clir's data on P value comparsions
Wind turbines during a storm and a high and low risk line graph comparing OEMs

Insight to manage the impact of catastrophic risks

Industry and farm data is used to provide modeling of catastrophic risks, including component and natural catastrophe risk. With data to demonstrate implemented risk mitigations, stakeholders can consider upside and downside scenarios, optimize asset financials and improve insurance terms.

Benchmarks and data to optimize O&M strategies

Clir benchmarks industry O&M costs and strategies for deeper insights into service provider performance. With an efficient analysis of event and loss data, owners can understand the performance of their teams in regards to availability. This additional oversight enables efficient identification of service issues and support for service teams to correct them, helping to optimize O&M performance.

A bar graph about the median turbine availability by farm age and a table showing farm grades
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Reduced reliance on external expertise

With data-driven insights and reporting backed by technical expertise, Clir’s solutions can help to reduce consultancy costs. Clir’s data model increases speed to analysis, reducing reliance on manual processing, while high-quality data can support energy yields and contractual availability discussions.

Increase operational efficiency

Technical services teams rely on quality data for analysis and reporting but the process of cleansing and labeling data is time consuming and labour intensive. Clir’s data model addresses the disparities between technologies to create a unified dataset. This data can be exported, making it easy for teams to access enriched datasets for reporting. Alternatively, Clir’s report builder or insights reports can be used to strengthen reporting by enabling clients to report on the issues that matter most to the organization.

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A bar graph showcasing turbine failure rate compared to other peer groups

Maximize warranty potential

Repairs to technology due to damage not detected in time for end-of-warranty can result in hundreds of thousands in additional costs. Clir’s market intelligence dataset identifies issues occurring on comparable technology under similar conditions elsewhere, enabling laser focussed investigation of site data. Problems identified can lead to further investigation or the data can provide evidence to enable negotiation with service providers.

Reduce operational and capital expenditure with Clir.