Organizing Brownfield Data Across Multiple Plants.
RENEWABLE ENERGY FIRM
Reducing Unplanned Downtime through Predictive Maintenance
A renewable energy company aimed to minimize unplanned downtime across its wind and solar assets. By leveraging Kobai's predictive maintenance capabilities, the company enhanced equipment reliability and operational efficiency.
PROJECT
Deployment of predictive maintenance across renewable energy assets.
WHAT WE DID
Sensor Integration, Data Analysis, Maintenance Scheduling.
CLIENT
Confidential Renewable Energy Client.
TIMELINE
Start: March 2025, 6 Weeks Design, 10 Weeks Implementation.
PROJECT INFORMATION
The renewable energy firm faced challenges with unexpected equipment failures leading to energy production losses.
Kobai implemented a predictive maintenance system that utilized sensor data to forecast potential failures and schedule timely maintenance.
CHALLENGES
- Unplanned equipment downtime
- Loss of energy production
- Inefficient maintenance processes
RESULTS
40%
Reduction in Unplanned Downtime
15%
Increase in Energy Production
20%
Improvement in Maintenance Efficiency
Implementing Kobai's predictive maintenance has significantly improved our operational reliability and energy output.
Chief EngineerRenewable Energy Client
