Applications of AI in the Green Energy Sector
Published on : Saturday 08-06-2024
Industrial Automation explores top applications of AI in green energy.
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Artificial intelligence (AI) has been the catalyst for diverse industries, ranging from manufacturing to healthcare. The technology is now revolutionising the energy sector, integrating with renewable energy sources.
According to Precedence Research, the global market for AI in renewable energy is predicted to surpass around US$114.87 billion by 2032 from US$10 billion in 2022, growing at a CAGR of 27.70% during the project timeframe of 2023-2032.
Top applications of AI in energy
- Smart Grid Management: AI can predict energy demand by optimising energy distribution through smart grids, balancing supply and demand in real-time, minimising waste, and improving efficiency.
- Predictive Maintenance: AI envisages equipment failures in wind turbines, solar panels, and other energy infrastructure, enabling proactive maintenance. It minimises downtime, extends equipment lifespan, and reduces maintenance costs.
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Photo by Andreas Gücklhorn on Unsplash - Energy Consumption Forecasting: Using AI will help utilities assess historical data to predict energy consumption patterns, managing resources more efficiently. It benefits with optimised energy storage and improved energy distribution.
- Energy Storage: AI can help in improving the efficiency of energy storage systems by predicting energy demand and optimising charge and discharge cycles. This ensures a reliable energy supply and maximises the lifespan of batteries.
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- Renewable Energy Optimisation: Using AI enhances the performance of renewable energy systems. For instance, AI optimises the angle of solar panels throughout the day to maximise sunlight capture and adjusts wind turbine settings for optimal wind energy harnessing.The integration of AI into the green energy sector not only fosters sustainability but also drives economic efficiency, making renewable energy sources more viable and reliable for the future.
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