PATtech.com’s Post

Link: https://lnkd.in/eT8AqD7A

"Interesting exploration of 24/7 CFE trading, but there's a fundamental technical issue that needs addressing: half-hourly or hourly matching of generation and consumption is mathematically insufficient for accurate carbon accounting. Consider what actually happens on the grid: 4kWh consumed in the first 5 minutes of a half-hour cannot physically be matched with 10kWh generated in the last 10 minutes of that same half-hour, yet your block-based system would show them as matched. You need second-by-second matching of generation and consumption to reflect physical reality - electricity is consumed the instant it's generated on a grid. Anything less precise fundamentally misrepresents what's actually happening. This precision becomes even more critical when you consider that, as Jensen Huang says, 'AI doesn't care where it goes to school' - training workloads can shift globally in milliseconds to chase the cleanest, cheapest power, Would be interested to hear how you see your system evolving beyond temporal matching blocks to achieve the second-by-second precision needed to reflect actual grid physics, particularly given the real-time nature of global AI workload optimization."