Final Scientific Technical Report: INTEGRATED PREDICTIVE DEMAND RESPONSE CONTROLLER FOR COMMERCIAL BUILDINGS

Wenzel, Mike

Johnson Controls

关键词: 32 Energy Conservation, Consumption, And Utilization Building Automation;    Commercial Building;    Building Automation;    Thermal Mass;   

DOI  :  10.2172/1096221
RP-ID  :  EE0003982 FSR
RP-ID  :  EE0003982
RP-ID  :  1096221

美国|英语

来源: UNT Digital Library

【 摘 要 】

This project provides algorithms to perform demand response using the thermal mass of a building. Using the thermal mass of the building is an attractive method for performing demand response because there is no need for capital expenditure. The algorithms rely on the thermal capacitance inherent in the building?s construction materials. A near-optimal ?day ahead? predictive approach is developed that is meant to keep the building?s electrical demand constant during the high cost periods. This type of approach is appropriate for both time-of-use and critical peak pricing utility rate structures. The approach uses the past days data in order to determine the best temperature setpoints for the building during the high price periods on the next day. A second ?model predictive approach? (MPC) uses a thermal model of the building to determine the best temperature for the next sample period. The approach uses constant feedback from the building and is capable of appropriately handling real time pricing. Both approaches are capable of using weather forecasts to improve performance.