At first glance, it would appear vital to stock critical wind turbine components to cover potential breakdowns and minimize downtime. Unfortunately, this isn’t always possible, due to financial constraints or inadequate storage. But what if stockpiling components wasn’t as important as it appeared? Rather, careful maintenance planning and diagnostics may be the deciding factors for consistent uptime.
Global developments have strengthened the business case for AI-driven industrial analytics in wind farms. Predictive maintenance helps wind energy businesses to operate self-sufficiently, extend asset health and lifespans, reduce O&M costs, and better protect repair crews.
Wind energy is currently in competition with other electricity sources – both renewable and non-renewable – to establish itself as the world’s leading power source. Only by offering cost-effective, reliable energy will this goal be realized. Increasing power density may give the sector a competitive edge.
The phrase “low touch economy” was born out of the Corona crisis. To remain viable during the pandemic, companies have to adapt – even if this means cutting back. But what does that really mean for the wind industry?