EMeister MPC
A SaaS platform that combines breakthroughs in building energy modeling, optimization algorithms, and measurement & verification to harness the drywall and concrete in large commercial buildings as a grid-scale thermal energy storage medium ... achieving large HVAC energy (20%), carbon (20%+) and expense (30%) savings, especially in LEED-certified buildings.
EMeister model predictive control (MPC) recommends daily strategies for large commercial building HVAC operations -- informed by forecasts of hourly weather, electric prices, carbon emission rates, and building occupancy.
A multi-objective optimization algorithm recommends an operating strategy in advance of each day – comprised of hourly zone temperature setpoints – and executes that strategy through an asynchronous, cyber-secure connection to the existing building automation system.
EMeister MPC goes beyond expense reduction ... with features that target carbon emission reduction, integrate distributed photovoltaics, relieve the ConEd T&D system during peak periods, coordinate building portfolios, adapt to Covid-related occupancy dynamics, address climate justice in NYC, manage financial risk and measure performance.