TY - CONF T1 - Development and Testing of Model Predictive Control for a Campus Chilled Water Plant with Thermal Storage T2 - 2010 ACEEE Summer Study on Energy Efficiency in Buildings Y1 - 2010 A1 - Brian E. Coffey A1 - Philip Haves A1 - Michael Wetter A1 - Brandon Hencey A1 - Francesco Borrelli A1 - Yudong Ma A1 - Sorin Bengea AB -

A Model Predictive Control (MPC) implementation was developed for a university campus chilled water plant. The plant includes three water-cooled chillers and a two million gallon chilled water storage tank. The tank is charged during the night to minimize on-peak electricity consumption and take advantage of the lower ambient wet bulb temperature. A detailed model of the chilled water plant and simplified models of the campus buildings were developed using the equation-based modeling language Modelica. Steady state models of the chillers, cooling towers and pumps were developed, based on manufacturers' performance data, and calibrated using measured data collected and archived by the control system. A dynamic model of the chilled water storage tank was also developed and calibrated. A semi-empirical model was developed to predict the temperature and flow rate of the chilled water returning to the plant from the buildings. These models were then combined and simplified for use in a MPC algorithm that determines the optimal chiller start and stop times and set-points for the condenser water temperature and the chilled water supply temperature. The paper describes the development and testing of the MPC implementation and discusses lessons learned and next steps in further research.

JF - 2010 ACEEE Summer Study on Energy Efficiency in Buildings PB - Omnipress CY - Asilomar, California, USA ER -