For the first time in the industry, Clir enables users to test assumptions through an automated platform to increase output and manage risk.
One of the major challenges of wind farm performance management is the fluidity of the data, often becoming available at later times or needing to be treated in a complex manner. Data are relabelled by the owner, service provider, or OEM, are mismanaged, and additional data streams are made available throughout a project’s life.
Clir’s data model handles the fluidity of the data sources to ensure value is in the users’ hands to maximize output and manage risk.
Clir quantifies lost energy for all performance issues across the platform, including the impact of wind resource. This enables metrics focused on lost/gained MWh and revenue to be used rather than simply focusing on availability.