Forensics & Root Causes
Root cause analysis is a systematic process used to identify the underlying causes of a wind turbine failure. Forensic investigations are detailed scientific processes that can be used to determine the cause of a wind turbine failure and the consequences of that failure. We are leaders in both and can help you uncover the source of costly faults, today.
How we do it
AP Renewables offers independent investigations for wind farms, as well as solar, and hydro operators.
We perform engineer-led investigations that combine on-site visual checks, and data analysis, combining cutting-edge innovation with best practices.
Learn more about Forensics & Root Causes
Unlock profits and unblock growth
Lowering the cost of clean energy is the driving force behind AP Renewables. We achieve this through a meticulous and holistic approach, going beyond surface-level issues to identify the core factors impacting performance. Whether the culprit is manufacturing inconsistencies, design flaws, or on-site operational challenges, our skilled team utilizes a broad range of diagnostic tools to uncover and address the root cause. We’re committed to providing solutions that drive efficiency and reduce your overall cost of renewable energy.
Frequently asked questions
We look at the bigger picture, take a holistic approach, and make sure that we find the root cause, driving the failures.
Manufacturer quality, weak designs, and improper use or quality issues in the field all could contribute and we have a toolbox of methodologies to find the contributing factors.
Fires in electrical equipment are not just loss of property, and revenue but also a risk to people and often release toxic fumes and leave toxic residues that could impose health and safety risks as well as substantial costs for clean up. Our team will help you get to the bottom of it.
We have used our customized training solutions to address topical gaps and to make sure the value is derived.
Over 25 years of experience with permanently solving the root causes of problems in wind farms.
- Identify and eliminate recurring issues that disrupt operations.
- Reduce unnecessary part consumption, prevent costly failures.
- Leverage data to address complex operational challenges.
- Promote long-term system health and implement sustainable protocols that prevent future issues.