AI and the Next Wave of Green Technology
Artificial intelligence is no longer a Hollywood fantasy. Today machine learning concepts and AI are prevalent across of wide variety of industries as computer-powered algorithms crunch massive volumes of data in a quest for more efficient outcomes.
The future of green technology looks to be heavily shaped in the coming years by AI. Below are a series of articles highlighting how artificial intelligence may impact everything from energy policy to more eco-friendly 3D printing processes:
September 26, 2017- AES and others are actively exploring how artificial intelligence can improve the electricity system.
AES is exploring how AI can improve awareness, efficiency and maintenance of the company’s grid systems and assets like solar farms and gas plants. It can also help AES make better predictions of how those systems and assets will operate.
AES manages 36 gigawatts of energy capacity across 17 countries and employs 19,000 people. The company, which generated $14 billion in revenue last year, is also building another nearly 5 gigawatts of energy capacity and has been growing its energy storage division focused on selling battery systems.
Read the full article here: https://www.greentechmedia.com/articles/read/ai-for-energy-a-huge-opportunity-but-still-early-days
The U.S. Department of Energy wants to make investing in energy technology easier, less risky, and less expensive (for the government, at least).
A new initiative by the DOE’s office of Energy Efficiency & Renewable Energy (EERE) is looking for ideas on how to reduce barriers to private investment in energy technologies. Rho AI, one of 11 companies awarded a grant through the EERE’s US $7.8-million program called Innovative Pathways, plans to use artificial intelligence and data science to efficiently connect investors to startups. By using natural language processing tools to sift through publicly available information, Rho AI will build an online network of potential investors and energy technology companies, sort of like a LinkedIn for the energy sector. The Rho AI team wants to develop a more extensive network than any individual is capable of having on their own, and they’re relying on artificial intelligence to make smarter connections faster than a human could.
Read the full article here: https://spectrum.ieee.org/energywise/energy/policy/doe-backs-ai-for-clean-tech-investors
Computer Business Review
September 4, 2017- Christina Valimaki looks at the significant role that green tech will play in creating a sustainable future – with a particular focus on 3D printing, AI and machine learning.
On its own, 3D printing has huge potential but its real impact will come when it is supplemented by other emerging technologies. By introducing Artificial Intelligence (AI) to work alongside 3D printing, manufacturers can create a feedback loop where intelligent machines learn how to speed up the development of the printing technologies. For example, when supported by machine learning, 3D printers can ‘learn’ about the use of materials. This could eventually mean the technology is able to self-determine which printing material will create a better product. For instance, if a specific section needs to be able to support more weight, or where designs can be re-shaped to save materials.
These advances can ultimately lead to a cumulative reduction in waste, making the products both cheaper to produce and even more ‘green’ and environmentally friendly.