Solar-Thermal Green Energy Production using AI-Graph-Neural-Network Real-Time Control
项目简介
1) Solar-thermal generation of hydrogen driven by AI robotics, along with carbon sequestration or repurposing of an existing used gas well, so that the carbon source can be combined with green hydrogen to create synthetic natural gas (e-NG) or methanol (e-Methanol). This can be used to capture the significant premium of certified LNG or methanol blended with 1% or 5% e-NG or e-methanol, with the ability to create up to 2 million tons of carbon offset credits per year. In the US, we offer these capabilities through a leading energy corporation at a significant premium. 2) Financing and tokenization of such carbon assets created, leveraging our collaborative relationship with a digital asset exchange and access to a considerable pool of Western funding ready to co-invest in “fully baked” opportunities. 3) A software solution suite called "virtual power plant" similar to that used by BlackRock to manage its book of energy assets, which can help energy users efficiently manage carbon asset creation, monitoring, trading, and control, all the way to regulatory sustainability reporting based on US SEC-accepted TCFD standards with the press of a button.