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Development of Regression Models considering Time-Lag and Aerosols for Predicting Heating Loads in Buildings
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-01
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
Building automation systems is becoming more vital, especially in regard to reduced building energy consumption.
However, the accuracy of such systems in calculating building thermal loads is limited as they are unable to predict future thermal loads based on prevailing environmental factors.
The current paper therefore seeks to improve the understanding of the interactions between outdoor meteorological data and building energy consumption through a statistical analysis.
Using weather data collected by the Korean Meteorological Agency (KMA) over a period of three years (2011–2014), prediction models that are able to predict heating thermal loads considering the time-lag phenomenon are developed.
In addition, the study develops different prediction models for buildings of different sizes.
The results confirm the existence of the time-lag phenomenon: the heating load experienced by a building at a given time is better explained by a regression model developed using the climatic conditions that existed two hours before.
As such, conventional building simulation programs must endeavor to include time-lag as well as Aerosol Optical Depth (AOD) data as important factors in the prediction of building heating loads.
American Psychological Association (APA)
Lim, Hong Soo& Kim, Gon. 2018. Development of Regression Models considering Time-Lag and Aerosols for Predicting Heating Loads in Buildings. Advances in Civil Engineering،Vol. 2018, no. 2018, pp.1-19.
https://search.emarefa.net/detail/BIM-1116084
Modern Language Association (MLA)
Lim, Hong Soo& Kim, Gon. Development of Regression Models considering Time-Lag and Aerosols for Predicting Heating Loads in Buildings. Advances in Civil Engineering No. 2018 (2018), pp.1-19.
https://search.emarefa.net/detail/BIM-1116084
American Medical Association (AMA)
Lim, Hong Soo& Kim, Gon. Development of Regression Models considering Time-Lag and Aerosols for Predicting Heating Loads in Buildings. Advances in Civil Engineering. 2018. Vol. 2018, no. 2018, pp.1-19.
https://search.emarefa.net/detail/BIM-1116084
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1116084