Energy Systems Research:
Low-Cost Model Capture
In designing Cyber Physical Systems, a fundamental problem is modeling the underlying structures. IMpACT is a methodology and a toolbox for analysis of uncertainty propagation for building inverse modeling and controls. Given a plant model and real input data, IMpACT automatically evaluates the effect of the uncertainty propagation from sensor data to model accuracy and control performance. It also utilizes non parametric statisticals method to quantify the uncertainty in the sensor measurements and to determine near optimal sensor placement and density for accurate signal measurements.
MLE+ is an open-source Matlab/Simulink toolbox for co-simulation with the whole-building energy simulator EnergyPlus. It is designed for engineers and researchers who are familiar with Matlab and Simulink and want to use these software tools in building energy simulation. MLE+ provides a control development workflow as well as graphical front-ends for designing advanced control strategies, in which the building simulation is carried out by EnergyPlus while the controllers are implemented in Matlab or Simulink.
Heating, cooling and air quality control systems within buildings and datacenters operate independently of each other and frequently result in temporally correlated energy demand surges. As peak power prices are 200-400 times that of the nominal rate, this uncoordinated activity is both expensive and operationally inefficient. Green Scheduling is an alternative approach to fine-grained coordination of energy demand by scheduling energy consuming control systems within a constrained peak power while ensuring custom climate environments are facilitated. Unlike traditional real-time scheduling theory, where the execution time and hence the schedule are a function of the system variables only, control system execution (i.e. when energy is supplied to the system) are a function of the environmental variables and the plant dynamics.