AI is disrupting the entire clean energy sector through the development of new materials and processes. The major problems with clean energy lies within the fact that its current manufacturing processes are expensive, require a lot of energy, and use toxic materials.
Fremont, CA: Given the concerns about global warming, the fact that we are rapidly depleting our non-renewable energy supplies, combined with the exponential rise in demand for energy, more innovation is being pursued to improve the production of clean energy so that it can be used as a viable alternative source of energy. These technologies are needed now, prolonged development times of years and decades are no longer appropriate, and citizens, governments and companies around the world are becoming conscious that the transition to renewable energy needs to be made sooner rather than later.
Luckily, Artificial Intelligence (AI) has jumped in to provide a solution. Across industries, AI is being used as a catalyst, improving the speed at which technological advances can be accomplished and then entering the market. This is achieved for the renewable energy industry through the production of new materials. Material production is important to the functioning of renewable energy. Materials used will determine how much electricity can be produced from each renewable source, which is essential to the sustainability of renewables instead of fossil fuels. In addition, products commonly used to help clean energy sources are not clean themselves, but are instead made from harmful, non-renewable materials, which undermines the clean energy sector's reputation as clean.
At present, the priority of the implementation of AI in the renewable energy sector has been at the top end, where sensors have been built to improve optimization. However, there is a wealth of potential to use AI to build from the ground up, to concentrate on innovating new materials in a short timeframe.
AI is disrupting the entire clean energy sector through the development of new materials and processes. The major problems with clean energy lie within the fact that its current manufacturing processes are expensive, require a lot of energy, and use toxic materials. Fortunately, AI poses the possibility of cleaning up these outdated methods. In theory, AI could be used to decarbonize clean energy processes. It may help to improve chemical reactions that would rely on smaller quantities of energy to manufacture the same goods, making the industry more energy efficient and lowering operating costs. AI could also help to create new materials that do not rely on harmful minerals and, in doing so, AI could help renewable energy production processes to become completely clean.