Development & application of an inverse building model for demand response in small commercial buildings - K. Lee, J.E. Braun
@article{Lee2004,
author = {Lee, K. and Braun, J.E.},
journal = {Proceedings of SimBuild},
number = {2002},
pages = {1--12},
publisher = {Citeseer},
title = {{Development and application of an inverse building model for demand response in small commercial buildings}},
url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.163.9316\&rep=rep1\&type=pdf},
year = {2004}
}
Key Points
- Weird error statistics
- Erms = 6.2% from the mean
Performed a demand limiting control strategy which involved: precolling during unoccupied times, maintaining zone temperatures at the lower comfort limit during off-pea occupied times, and to limit the peak cooling rate at peak times.
Temperature was modelled and error statistics were given in percentages from the mean. Where the mean error was 6.2%