top of page

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.

© 2023 QCoefficient, Inc.
bottom of page