Energy companies are increasingly using wind power analytics to enhance the performance, logistics and highlight gaps during the pandemic. 

FREMONT, CA: An unexpected strain has been put on newly deployed wind power analytics and remote technology due to COVID-19 lockdowns and supply chain disruptions. Before the outbreak, a rising number of operators introduced predictive maintenance solutions to minimize downtime and labor expense.

Turbine manufacturers have invested a lot of money into analytics solutions to remain competitive in the growing Operations and Maintenance (O&M) industry. Currently, Siemens Gamesa is setting up a new global digital infrastructure platform. According to the company, the platform would boost data collection, predictive maintenance capabilities and even increase spare parts efficiency.

Travel constraints are putting these analytics tools to the test, leading some companies to make quick adjustments.

Top 10 Wind Energy Solution Companies - 2020Damage limitation

Larger wind operators have been the most active adopters, aiming to take advantage of analytics' scaling opportunities to improve their expansion plans. To achieve a competitive advantage in the face of intense market competition, utilities have been improving analytics capabilities and taking O&M operations in-house.

To manage labor resources during current lockdowns, operators are prioritizing reactive maintenance over predictive maintenance. Operators may use analytics to prioritize essential maintenance activities and identify critical maintenance requirements.

Companies can track and proactively shut down 'at risk' turbines using well-developed monitoring systems and data analytics, preventing significant capital component failure. Major component failures like gearbox failure, which is often triggered by bearing problems, can result in high costs and lengthy maintenance procedures.

Analytics can also enhance enterprise resource management (ERM). The number of administrative tasks has increased, making it more necessary for an efficient analytics platform to integrate with better manage technician dispatch and supply chain management.

Data drive

Operators are using central SCADA (Supervisory control and data acquisition) systems to analyze the output of their turbines due to the lockdowns. The COVID-19 crisis has brought to light vulnerabilities in datasets and analytics. The gaps may consist of historic asset details or data on similar assets under similar circumstances.

Integrating data from condition monitoring systems (CMS) with SCADA information is another growing area of interest. To increase the frequency of data collection and enhance performance indicators, numerous companies have hired external specialists.