AI Predictive Analytics Optimizes Renewable Energy Production
The New Energy industry is growing rapidly as governments and corporations take steps towards reducing our impact on the environment, and pursue more sustainable energy sources for the future.
These new renewable energy technologies produce billions of data points every minute, making it difficult to identify the true root cause of failures and identify optimization opportunities. AI Predictive Analytics provides the new energy market with the insights that enable them to;
- Optimise their energy production, increasing reliability which will help bring down the costs of renewable energy
- Apply predictive maintenance which helps reduce the risk of sudden failures and reduce the cost of maintenance to remote infrastructure
- Advanced predictive analytics helps manage the grid with forecasting of production based on AI models that include historic production and weather patterns.
If you are looking for Artificial Intelligence to assist in your new energy production, get in touch with the VROC team, we’d love to assist in your project and help further along these emerging green industries.
Wind turbines whilst relatively new assets are often in remote off-shore or land locations, making breakdown-maintenance methods impractical and costly. The vast amounts of data produced by these modern assets makes it difficult for reliability teams to process rapidly, increasing the risk of failures and drops in production levels. AI Predictive Analytics provides advance warning for predictive maintenance with 5-10 day lead time for time to failure notifications, ensuring enough time to schedule maintenance.
The VROC platform also provides reliability engineers with the critical insights to assist in optimizing the performance and production of renewable power, assisting in the growth of this emerging renewable market.
Hydrogen, the fuel of the future is an emerging industry, with corporations and governments investing vast amounts of money to get the industry established.
The Australian Renewable Energy Agency estimates that there will be a demand for 3.2 million tonnes of hydrogen by 2030. It’s possible to produce hydrogen gas or liquid through a number of different means (natural gas, coal, biomass, water) however ensuring the production method is sustainable, green and cost effective is of upmost priority.
Artificial Intelligence can play a big role in the optimisation of production, increasing reliability and bringing down overall costs.