Accelerated distributed model predictive control for HVAC systems

Model based predictive control of HVAC systems

The problem of controlling a heating ventilating and air conditioning system in a single zone of a building is addressed. Its formulation is done in order to maintain acceptable thermal comfort for the occupants and to spend the least possible energy to achieve that. In most operating conditions these are conflicting goals, which require some sort of optimisation method to find appropriate solu...

Distributed Model Predictive Control for building HVAC systems: A Case Study

Model predictive control (MPC) in building HVAC systems incorporates predictions of weather and occupancy to determine the optimal operating setpoints. However, application of MPC strategies to large buildings might not be feasible in real time due to the large number of degrees of freedom in the underlying optimization problem. Decomposing the problem into several smaller sub-problems to be so...

Investigation of Distributed Model Predictive Control for Economic Load Shifting in Building HVAC Systems

An accelerated optimization algorithm for distributed model predictive control ⋆

We regard a network of systems with coupled dynamics or constraints that we want to control optimally. The cost function is assumed to be separable and convex. We show that the corresponding centralized model predictive control (MPC) problem can be recast as a separable convex optimization problem. Furthermore, we present a dual-based decomposition method, called here the proximal center method...

A Distributed Approach to Efficient Model Predictive Control of Building HVAC Systems

Model based predictive control (MPC) is increasingly being seen as an attractive approach in controlling building HVAC systems. One advantage of the MPC approach is the ability to integrate weather forecast, occupancy information and utility price variations in determining the optimal HVAC operation. However, application to largescale building HVAC systems is limited by the large number of cont...