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 high efficiency 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) manages building thermal mass and thermal load profiles …
​
-
Reducing energy, emissions and expense, especially in important electric grid hours.
-
More efficiently loading and sequencing HVAC systems, especially chillers, both electric & steam.
-
​Complementing and doubling the ROI on efficiency capex – VFDs, DCV, CWTR.
​
EMeister MPC recommends daily strategies for 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, support demand response participation, coordinate building portfolios, adapt to occupancy dynamics, and manage financial risk.