Development of an adaptive window-opening algorithm to predict the thermal comfort, energy use and overheating in buildings

Hom B. Rijal, Paul Gerard Tuohy, J. Fergus Nicol, Michael A. Humphreys, Aizaz Samuel, Joseph Andrew Clarke

Research output: Contribution to journalArticle

80 Citations (Scopus)

Abstract

This investigation of the window opening data from extensive field surveys in UK office buildings demonstrates: 1) how people control the indoor environment by opening windows; 2) the cooling potential of opening windows; and 3) the use of an ‘adaptive algorithm’ for predicting window opening behaviour for thermal simulation in ESP-r. It was found that when the window was open the mean indoor and outdoor temperatures were higher than when closed, but show that nonetheless there was a useful cooling effect from opening a window. The adaptive algorithm for window opening behaviour was then used in thermal simulation studies for some typical office designs. The thermal simulation results were in general agreement with the findings of the field surveys. The adaptive algorithm is shown to provide insights not available using non adaptive simulation methods and can assist in achieving more comfortable, lower energy buildings while avoiding overheating.
LanguageEnglish
Pages17-30
Number of pages13
JournalJournal of Building Performance Simulation
Volume1
Issue number1
DOIs
Publication statusPublished - Jan 2008

Fingerprint

Thermal comfort
Adaptive algorithms
Predict
Energy
Cooling
Adaptive Algorithm
Office buildings
Adaptive Method
Hot Temperature
Buildings
Simulation Methods
Simulation
Temperature
Simulation Study
Closed
Demonstrate

Keywords

  • adaptive thermal comfort
  • building control
  • window-opening algorithm
  • heat engineering

Cite this

@article{99502fabb0c641dcb94fee2e54532fca,
title = "Development of an adaptive window-opening algorithm to predict the thermal comfort, energy use and overheating in buildings",
abstract = "This investigation of the window opening data from extensive field surveys in UK office buildings demonstrates: 1) how people control the indoor environment by opening windows; 2) the cooling potential of opening windows; and 3) the use of an ‘adaptive algorithm’ for predicting window opening behaviour for thermal simulation in ESP-r. It was found that when the window was open the mean indoor and outdoor temperatures were higher than when closed, but show that nonetheless there was a useful cooling effect from opening a window. The adaptive algorithm for window opening behaviour was then used in thermal simulation studies for some typical office designs. The thermal simulation results were in general agreement with the findings of the field surveys. The adaptive algorithm is shown to provide insights not available using non adaptive simulation methods and can assist in achieving more comfortable, lower energy buildings while avoiding overheating.",
keywords = "adaptive thermal comfort, building control, window-opening algorithm, heat engineering",
author = "Rijal, {Hom B.} and Tuohy, {Paul Gerard} and Nicol, {J. Fergus} and Humphreys, {Michael A.} and Aizaz Samuel and Clarke, {Joseph Andrew}",
year = "2008",
month = "1",
doi = "10.1080/19401490701868448",
language = "English",
volume = "1",
pages = "17--30",
journal = "Journal of Building Performance Simulation",
issn = "1940-1493",
number = "1",

}

Development of an adaptive window-opening algorithm to predict the thermal comfort, energy use and overheating in buildings. / Rijal, Hom B.; Tuohy, Paul Gerard; Nicol, J. Fergus; Humphreys, Michael A.; Samuel, Aizaz; Clarke, Joseph Andrew.

In: Journal of Building Performance Simulation, Vol. 1, No. 1, 01.2008, p. 17-30.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Development of an adaptive window-opening algorithm to predict the thermal comfort, energy use and overheating in buildings

AU - Rijal, Hom B.

AU - Tuohy, Paul Gerard

AU - Nicol, J. Fergus

AU - Humphreys, Michael A.

AU - Samuel, Aizaz

AU - Clarke, Joseph Andrew

PY - 2008/1

Y1 - 2008/1

N2 - This investigation of the window opening data from extensive field surveys in UK office buildings demonstrates: 1) how people control the indoor environment by opening windows; 2) the cooling potential of opening windows; and 3) the use of an ‘adaptive algorithm’ for predicting window opening behaviour for thermal simulation in ESP-r. It was found that when the window was open the mean indoor and outdoor temperatures were higher than when closed, but show that nonetheless there was a useful cooling effect from opening a window. The adaptive algorithm for window opening behaviour was then used in thermal simulation studies for some typical office designs. The thermal simulation results were in general agreement with the findings of the field surveys. The adaptive algorithm is shown to provide insights not available using non adaptive simulation methods and can assist in achieving more comfortable, lower energy buildings while avoiding overheating.

AB - This investigation of the window opening data from extensive field surveys in UK office buildings demonstrates: 1) how people control the indoor environment by opening windows; 2) the cooling potential of opening windows; and 3) the use of an ‘adaptive algorithm’ for predicting window opening behaviour for thermal simulation in ESP-r. It was found that when the window was open the mean indoor and outdoor temperatures were higher than when closed, but show that nonetheless there was a useful cooling effect from opening a window. The adaptive algorithm for window opening behaviour was then used in thermal simulation studies for some typical office designs. The thermal simulation results were in general agreement with the findings of the field surveys. The adaptive algorithm is shown to provide insights not available using non adaptive simulation methods and can assist in achieving more comfortable, lower energy buildings while avoiding overheating.

KW - adaptive thermal comfort

KW - building control

KW - window-opening algorithm

KW - heat engineering

UR - http://www.esru.strath.ac.uk/Documents/07/BS07_p544_final.pdf

UR - http://dx.doi.org/10.1080/19401490701868448

U2 - 10.1080/19401490701868448

DO - 10.1080/19401490701868448

M3 - Article

VL - 1

SP - 17

EP - 30

JO - Journal of Building Performance Simulation

T2 - Journal of Building Performance Simulation

JF - Journal of Building Performance Simulation

SN - 1940-1493

IS - 1

ER -