AI and automation offer several benefits like improved efficiency, enhanced reliability, scalability, and sustainability, says Benedicta Chettiar.

The increasing adoption of renewable energy sources has brought a significant transformative shift in the energy sector. This transformation has also been driven by the integration of advanced technologies like artificial intelligence (AI) and automation. You might think of AI as the revolutionary technology behind autonomous cars or shopping recommendations. But, it is also revolutionising how we produce and consume energy.

The world is increasingly turning to renewable energy sources like solar, wind, and hydropower. Have you ever wondered why? Because they are cleaner and sustainable, and fossil fuels are so last century. But integrating these sources into energy grids is not a walk in the park. This is where AI and automation come in.

How AI and automation help transform the energy sector?

According to Allied Market Research, the global market of AI in renewable energy is predicted to reach US$4.6 billion by 2032 from US$0.6 billion in 2022, growing at a CAGR of 23.2% during the projected duration of 2023-2032.

Renewable energy sources are essential in the global effort to lessen carbon emissions and combat climate change. These sources are abundant and sustainable; however, they also come with challenges, such as variability in supply and the demand for advanced grid management.

AI and automation are pivotal in addressing these challenges and optimising the performance of renewable energy systems. Some key ways these technologies are making an impact are discussed here:

Predictive Analytics and Maintenance: One of the major challenges with renewable energy is its unpredictability. The sun does not always shine, and the wind does not always blow. This is where AI plays a crucial role in analysing vast amounts of data to predict energy production. This predictive maintenance also lessens downtime and extends the lifespan of assets, ensuring more consistent energy production.

Grid Management: Another area where AI is effective is smart grids. Integrating renewable energy into existing grids requires sophisticated management to balance supply and demand. AI helps in real-time monitoring and rerouting power, balancing loads, and even fixing issues before they become blackouts.

Energy Forecasting: With AI models, energy providers can predict energy production from renewable sources with high accuracy, taking into account factors such as weather patterns and historical data. This forecasting helps utilities plan better and ensure a reliable supply of energy.

Energy Storage Optimisation: The intermittent nature of renewables like solar and wind necessitates efficient energy storage solutions. Using AI can optimise the charging and discharging cycles of batteries, minimising energy waste and ensuring availability during peak demand.

Demand Response: AI can help in assessing consumption patterns and automatically adjust energy use during peak times, aligning it with availability from renewable sources. This demand response capability reduces strain on the grid and lowers energy costs for consumers.

Other benefits of AI and automation in renewables are improved efficiency, enhanced reliability, scalability, and sustainability.

Challenges and considerations of AI in energy

There is no surprise that AI can manage when to use solar power, when to draw from the battery, and when to tap into the grid, all while finding the cheapest rates. However, every tech evolution comes with challenges, and so does AI in renewable energy.

● High initial costs

● Data privacy

● Cybersecurity risks

● Regulatory frameworks

Addressing these challenges requires collaboration between industry stakeholders, governments, and tech providers.

The path ahead

With developments in AI and automation, investments in renewable energy infrastructure promise to further enhance the role of these technologies. This is just the beginning and possibilities are endless. So, as you adjust your smart thermostat or see a wind turbine on the horizon, remember the pivotal roles of AI and automation working behind the scenes.

For more insights on automation, visit https://www.industrialautomationindia.in/

Benedicta Chettiar is Director, IED Communications and Manager, Strategic Developments, Industrial Automation. Besides these roles, Beni, as she is known, is also actively managing the affairs of Jyothi Process, a state-of-the-art printing press.

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