Impact of Thermal Model Resolution on Peak Heating Demand Calculation under Different Setpoint Profiles

摘要

This paper presents an experimental and theoretical study of the dynamic response of low mass residential buildings and their respective space heating peak demands for different room temperature setpoint profiles, with a focus on the impact of thermal model resolution on the peak demand calculation. Experiments were conducted at two identically constructed and highly instrumented houses. Both houses are built with wood floors, and one of the houses has its floors covered with carpet for the experiments. The houses' dynamic response to different ramping setpoint profiles is monitored and analyzed. Equivalent and physically meaningful resistor-capacitor (RC) network thermal models for the purpose of model-based control are developed for a north zone of the houses. On the experiment days, the simple and detailed models both accurately calculate the same reductions of 21% for a 2 hour ramp and 31% for a 3 hour ramp for the house with wood flooring. However, they both underestimate the peak demand for the house with carpet flooring. On a peak day with an extremely cold outdoor temperature, the low-order model, when compared to the detailed model, underestimates the impact of the ramping profiles on peak reduction. For a 2 hour ramp, the simple model predicts a reduction of 5%, while the more detailed model predicts 12%. For the 3 hour ramp, the models predict 16% versus 24%, respectively.