Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Partitioning of indoor airspace for multi-zone thermal modelling using hierarchical cluster analysis
AU - Tsitsimpelis, Ioannis
AU - Taylor, C. James
PY - 2015/7/15
Y1 - 2015/7/15
N2 - The article proposes a hypothetico-inductive approach to the formulation of suitable thermal zones, for subsequent multi-zone modelling and spatial control of microclimatic variables in buildings. Here, model structures are initially identified from data, thus avoiding undue reliance on prior hypotheses and ensuring that the resulting models are fully identifiable from the available temperature measurements. More specifically, an agglomerative hierarchical clustering approach is used to quantitatively distinguish and group thermal zones within an open airspace for any given ventilation and heating combination. To evaluate the new approach, the article utilises a previously developed Hammerstein type model for temperature, which is extended in this article to address the multi-zone modelling case. Experimental results are presented for a laboratory forced ventilation chamber, instrumented with 30 thermocouples, and recommendations are given for future application to a closed-environment agricultural grow cell being developed by the authors and industrial partners.
AB - The article proposes a hypothetico-inductive approach to the formulation of suitable thermal zones, for subsequent multi-zone modelling and spatial control of microclimatic variables in buildings. Here, model structures are initially identified from data, thus avoiding undue reliance on prior hypotheses and ensuring that the resulting models are fully identifiable from the available temperature measurements. More specifically, an agglomerative hierarchical clustering approach is used to quantitatively distinguish and group thermal zones within an open airspace for any given ventilation and heating combination. To evaluate the new approach, the article utilises a previously developed Hammerstein type model for temperature, which is extended in this article to address the multi-zone modelling case. Experimental results are presented for a laboratory forced ventilation chamber, instrumented with 30 thermocouples, and recommendations are given for future application to a closed-environment agricultural grow cell being developed by the authors and industrial partners.
KW - temperature modelling
KW - hierarchical cluster analysis
KW - micro-climate
U2 - 10.1109/ECC.2015.7330578
DO - 10.1109/ECC.2015.7330578
M3 - Conference contribution/Paper
SN - 9781467371605
SP - 410
EP - 415
BT - 14th European Control Conference
PB - IEEE
T2 - 14th European Control Conference
Y2 - 15 July 2015
ER -