Any software solution or application that can adapt, learn, and grow based on prior experiences is called “artificial intelligence (AI).” Increasing efficiency, enhancing security, and expanding the potential of power transmission, distribution, and consumption systems are some of the goals of AI in the solar industry.
Solar power production has seen an incredible rise in artificial intelligence (AI), which was recently highlighted at the International Greentech and Eco Products Exhibition & Conference Malaysia (IGEM) virtual conference. This article will discuss ways artificial intelligence is shaping our solar power future.
Reducing the cost of solar battery
Reduced solar battery prices allow developers and clients to expand their businesses. But here’s the catch: Battery technology alone isn’t enough to unleash the full potential of energy storage. This value can only be accessed using clever software like artificial intelligence (AI). In the future, solar projects will be differentiated by using AI-driven storage.
In addition, new systems will be simpler to implement since they will be less complicated. The expense of driving to and from the site will be eliminated, thereby reducing the project’s overall cost. System design may be done remotely using precise 3D models of roofs and nearby surroundings, thanks to artificial intelligence (AI).
AI and Solar Batteries are getting better
Lithium-Ion solar battery prices are continuing to fall. A BloombergNEF battery pricing index released this week showed a roughly 90 percent drop in costs this year compared with 2010. The price of solar batteries is rising as output increases. The total demand in 2020 will be around 1000 times more than in 2010. Additionally, demand for stationary storage will expand by 20 times this century as demand for electric vehicles (EVs) rises over the next decade.
Artificial intelligence (AI) Enhances the Efficiency of Energy Storage.
At the consumer level, low solar battery prices may still provide a compelling value proposition in terms of avoiding demand charges, backup power, and resilience; or arbitraging time of use rates. Low-cost solar batteries are a promising start. The optimum application of an algorithm becomes a lot more complicated than it seems at first glance. Artificial intelligence (AI) is needed to unleash the full potential of energy storage because battery technology alone is not enough.
Managing Grid Harmonics
Managing and resolving difficulties related to grid harmonics – in essential words, the variation in the grid’s frequency. A power system malfunction might develop if these harmonics are out of whack. To improve the integration of centralized electrical networks with AI, we can forecast, control, and monitor this.
Advancements in solar battery storage technology will open up new possibilities for matching solar energy supply to grid demand. New innovation paths will be opened up by electric car adoption, including AI-enabled charging and the ability to incorporate dynamic battery storage into the more significant grid architecture.
Algorithms will continue to learn and adapt as time passes, so the next generation of AI systems will constantly evolve. Artificial intelligence-enabled solar power is illuminating the future of better-linked power systems in an intelligent environment.