# Distributed Model Predictive Control based on Goal Coordination for Multi zone Building Temperature Control

## TL;DR

This paper introduces a distributed Model Predictive Control strategy for multi-zone building temperature regulation, achieving significant reductions in energy use and computation time while maintaining temperature accuracy.

## Contribution

It presents a novel distributed MPC framework with stability and disturbance prediction, outperforming centralized MPC in efficiency and energy consumption.

## Key findings

- 48% less computation time
- 25.42% less energy consumption
- Reduced tracking error

## Abstract

In this paper, a distributed Model Predictive Control strategy is developed for a multi zone building plant with disturbances. The control objective is to maintain each zones temperature at a specified level with the minimum cost of the underlying HVAC system. The distributed predictive framework is introduced with stability proofs and disturbances prediction, which have not been considered in previous related works. The proposed distributed MPC performed with 48 percent less computation time, 25.42 percent less energy consumption, and less tracking error compared with the centralized MPC. The controlled system is implemented in a smart building test bed.