Second order system identification in the thermal response of real buildings. Paper II: Recursive formulation for online building energy management and control - D.A. Coley, J.M. Penman
@article{Coley1992,
author = {Coley, DA and Penman, JM},
doi = {10.1016/0360-1323(92)90028-N},
issn = {03601323},
journal = {Building and Environment},
month = jul,
number = {3},
pages = {269--277},
publisher = {Elsevier},
title = {{Second order system identification in the thermal response of real buildings. Paper II: recursive formulation for on-line building energy management and control}},
url = {http://linkinghub.elsevier.com/retrieve/pii/036013239290028N},
volume = {27},
year = {1992}
}
Key Points
- 10 days to converge
- Mean error of 1.00C
- A significant parameter change from thhe historical values may indicate deterioration.
Used a recursive least squares algorithm to thermally a school building. A single zone was modelled.
Te parameter space was restricted so that varying effects from inpuut overcame the interia of past history, similar to the gain in a kalman Filter. 10 days to converge, mean error of 1.00C
The authors noted that a significant parameter change from thhe historical values may indicate deterioration.