
By shifting from a cogen plant, Stanford achieved a 68% reduction in greenhouse gas emissions and a 67% reduction in water use (saving 127 million gallons in the first year). 90% of the campus’ heating needs are met by waste heat recovery. The facility cost $300M, about $30-40M more than a comparable cogen facility, and it is expected to save an incremental $300M in energy costs over its lifetime.
These three heat recovery chillers (HRC) are huge, custom-built so each of them has a 2,500 tons cooling capacity and produces 40M BTUs of heat/hr for the hot water loops. In aggregate, the system you see here could heat and cool 30,000 average homes. HRCs have never been done at this scale before (600T is the prior record).
70% of the water heating and cooling needs overlap in real time, and there are huge reservoir tanks to buffer heating and cooling needs (across daily and seasonal mismatches in demand and supply).
A predictive optimization model built in MatLab maximizes efficiency across demand cycles, NOAA and weather forecast data, storage tanks, solar PV generation, and electricity pricing. It tracks 1,200 inputs and updates the production plan every 15 minutes, saving $300K/year when it came online. 
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