Home > Research > Publications & Outputs > Partitioning of indoor airspace for multi-zone ...
View graph of relations

Partitioning of indoor airspace for multi-zone thermal modelling using hierarchical cluster analysis

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

Partitioning of indoor airspace for multi-zone thermal modelling using hierarchical cluster analysis. / Tsitsimpelis, Ioannis; Taylor, C. James.

14th European Control Conference. IEEE, 2015. p. 410-415.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Tsitsimpelis, I & Taylor, CJ 2015, Partitioning of indoor airspace for multi-zone thermal modelling using hierarchical cluster analysis. in 14th European Control Conference. IEEE, pp. 410-415, 14th European Control Conference, Linz, Austria, 15/07/15. https://doi.org/10.1109/ECC.2015.7330578

APA

Vancouver

Author

Bibtex

@inproceedings{ec73f420997a4df2aab2622e1ff098b3,
title = "Partitioning of indoor airspace for multi-zone thermal modelling using hierarchical cluster analysis",
abstract = "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.",
keywords = "temperature modelling, hierarchical cluster analysis, micro-climate",
author = "Ioannis Tsitsimpelis and Taylor, {C. James}",
year = "2015",
month = jul,
day = "15",
doi = "10.1109/ECC.2015.7330578",
language = "English",
isbn = "9781467371605",
pages = "410--415",
booktitle = "14th European Control Conference",
publisher = "IEEE",
note = "14th European Control Conference ; Conference date: 15-07-2015",

}

RIS

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 -