The digitalization of oil and gas has been well documented, with pretty much all energy majors adopting AI, machine learning, and other innovative technologies to improve their operations. But what role does artificial intelligence play in renewables? Just as in oil and gas, AI is being adopted for use in wind, solar, and other green energy projects to improve efficiency through greater automation. As energy firms look to digitalize their operations to a greater extent, AI will likely play a leading role in the energy transition of the future. The use of AI can support numerous activities across the energy industry, for operations across all energy sources, from fossil fuels to renewables. The energy industry has adopted AI technology in recent years to support automated decision-making and aided decision-making. The first is when computer systems process information autonomously, without human input. This often means that tasks can be completed faster and more efficiently than when a human decision is required, as the machine can make an immediate change. However, some issues require greater human input to determine the correct response; in this case, aided decision-making can be useful. Machines can provide useful insights by providing data for workers to interpret and decide on the right actions to take in any given situation.
AI also plays a major role in prediction. The use of complex algorithms can help investors to determine the level of risk involved in a new green energy project, anticipate the energy production from different types of renewable sources in different conditions, and predict the energy demand at different times of the day in various locations. Technology providing constant monitoring and evaluation can help companies prevent failures or the need to halt operations, by anticipating potential challenges and responding to them immediately. For example, using machine learning weather models, historical datasets, and real-time local weather information can help companies to predict when a storm or heatwave is going to hit to adapt their operations to prepare for the change in weather. Related: Black Sea Shipping Rates Jump 20%
With digitalization becoming commonplace, energy firms are now using AI technologies in their day-to-day operations, and this type of equipment will almost certainly be key to transforming the future of energy. One of the main ways in which AI will support an effective transition away from fossil fuels to greener alternatives is through grid management. AI and machine learning use data analytics to estimate the level of energy consumption across households in any given area. It considers a variety of factors such as time of year, peak and off-peak times, and weather conditions. This can help energy companies to be constantly aware of the likely electricity use in the coming days, manage the grid accordingly and avoid outages. Production can also be altered in response to usage predictions to meet demand and avoid waste.
The rollout of AI technology across different areas of energy operations can also significantly enhance maintenance practices. Machines can predict the need for maintenance to schedule a repair ahead of an outage, to avoid an unnecessary loss of power. Energy companies can prepare for maintenance and inform consumers, rather than be caught unexpectedly by something breaking, which would mean longer repair times and unexpected power cuts for customers.
When it comes to solar power, AI can be used to determine the best …….