Analysis of Occupants’ Air-Conditioning Opening Behaviour Based on the Survival Model

Jiawen Ren; Xin Zhou; Xing Shi; Xing Jin

doi:doi:10.11648/j.urp.20210604.16

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Analysis of Occupants’ Air-Conditioning Opening Behaviour Based on the Survival Model

Jiawen Ren, Xin Zhou, Xing Shi, Xing Jin

Published in Urban and Regional Planning (Volume 6, Issue 4)

Received: 26 October 2021 Accepted: 23 November 2021 Published: 24 November 2021

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Abstract

It is essential to predict building energy consumption through more accurate simulation of building energy consumption, and then put forward suggestions for building energy conservation. Therefore, it is a very important issue to study the variable, random and complex air conditioning usage mode. In the previous studies on air conditioning, it could be found that whether the air conditioning is on or off, it is only a mathematical function about environmental parameters. However, when we arrive at the office and feel uncomfortable, we don't open the window immediately. Instead, we put up with it for a while. In view of the above shortcomings, this study proposed a survival model based on Weibull function to predict the air-conditioning on behavior. Through the verification of the model, we found that the accuracy of the air-conditioning regulation model based on the survival model is more than 74%. We compared and verified the common three-parameter Weibull model with the survival model-based Weibull model, and found that the accuracy of the common three-parameter Weibull model was slightly higher than that of the survival model. At the same time, we analyzed the death event (tolerance temperature) of the survival model, and further improving the tolerance temperature is of great help to the accuracy of the model.

Published in	Urban and Regional Planning (Volume 6, Issue 4)
DOI	10.11648/j.urp.20210604.16
Page(s)	147-154
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Air-Conditioning Status, Air-Conditioning Opening Probability, Survival Models, Prediction Accuracy

References

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APA Style

Jiawen Ren, Xin Zhou, Xing Shi, Xing Jin. (2021). Analysis of Occupants’ Air-Conditioning Opening Behaviour Based on the Survival Model. Urban and Regional Planning, 6(4), 147-154. https://doi.org/10.11648/j.urp.20210604.16

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ACS Style

Jiawen Ren; Xin Zhou; Xing Shi; Xing Jin. Analysis of Occupants’ Air-Conditioning Opening Behaviour Based on the Survival Model. Urban Reg. Plan. 2021, 6(4), 147-154. doi: 10.11648/j.urp.20210604.16

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AMA Style

Jiawen Ren, Xin Zhou, Xing Shi, Xing Jin. Analysis of Occupants’ Air-Conditioning Opening Behaviour Based on the Survival Model. Urban Reg Plan. 2021;6(4):147-154. doi: 10.11648/j.urp.20210604.16

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@article{10.11648/j.urp.20210604.16,
  author = {Jiawen Ren and Xin Zhou and Xing Shi and Xing Jin},
  title = {Analysis of Occupants’ Air-Conditioning Opening Behaviour Based on the Survival Model},
  journal = {Urban and Regional Planning},
  volume = {6},
  number = {4},
  pages = {147-154},
  doi = {10.11648/j.urp.20210604.16},
  url = {https://doi.org/10.11648/j.urp.20210604.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.urp.20210604.16},
  abstract = {It is essential to predict building energy consumption through more accurate simulation of building energy consumption, and then put forward suggestions for building energy conservation. Therefore, it is a very important issue to study the variable, random and complex air conditioning usage mode. In the previous studies on air conditioning, it could be found that whether the air conditioning is on or off, it is only a mathematical function about environmental parameters. However, when we arrive at the office and feel uncomfortable, we don't open the window immediately. Instead, we put up with it for a while. In view of the above shortcomings, this study proposed a survival model based on Weibull function to predict the air-conditioning on behavior. Through the verification of the model, we found that the accuracy of the air-conditioning regulation model based on the survival model is more than 74%. We compared and verified the common three-parameter Weibull model with the survival model-based Weibull model, and found that the accuracy of the common three-parameter Weibull model was slightly higher than that of the survival model. At the same time, we analyzed the death event (tolerance temperature) of the survival model, and further improving the tolerance temperature is of great help to the accuracy of the model.},
 year = {2021}
}

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TY  - JOUR
T1  - Analysis of Occupants’ Air-Conditioning Opening Behaviour Based on the Survival Model
AU  - Jiawen Ren
AU  - Xin Zhou
AU  - Xing Shi
AU  - Xing Jin
Y1  - 2021/11/24
PY  - 2021
N1  - https://doi.org/10.11648/j.urp.20210604.16
DO  - 10.11648/j.urp.20210604.16
T2  - Urban and Regional Planning
JF  - Urban and Regional Planning
JO  - Urban and Regional Planning
SP  - 147
EP  - 154
PB  - Science Publishing Group
SN  - 2575-1697
UR  - https://doi.org/10.11648/j.urp.20210604.16
AB  - It is essential to predict building energy consumption through more accurate simulation of building energy consumption, and then put forward suggestions for building energy conservation. Therefore, it is a very important issue to study the variable, random and complex air conditioning usage mode. In the previous studies on air conditioning, it could be found that whether the air conditioning is on or off, it is only a mathematical function about environmental parameters. However, when we arrive at the office and feel uncomfortable, we don't open the window immediately. Instead, we put up with it for a while. In view of the above shortcomings, this study proposed a survival model based on Weibull function to predict the air-conditioning on behavior. Through the verification of the model, we found that the accuracy of the air-conditioning regulation model based on the survival model is more than 74%. We compared and verified the common three-parameter Weibull model with the survival model-based Weibull model, and found that the accuracy of the common three-parameter Weibull model was slightly higher than that of the survival model. At the same time, we analyzed the death event (tolerance temperature) of the survival model, and further improving the tolerance temperature is of great help to the accuracy of the model.
VL  - 6
IS  - 4
ER  -

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Author Information

Jiawen Ren

School of Architecture, Southeast University, Nanjing, China
Xin Zhou

School of Architecture, Southeast University, Nanjing, China
Xing Shi

Key Laboratory of Ecology and Energy-saving Study of Dense Habitat, Ministry of Education, College of Architecture and Urban Planning, Tongji University, Shanghai, China
Xing Jin

School of Architecture, Southeast University, Nanjing, China

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Plain Text BibTeX RIS

APA Style

Jiawen Ren, Xin Zhou, Xing Shi, Xing Jin. (2021). Analysis of Occupants’ Air-Conditioning Opening Behaviour Based on the Survival Model. Urban and Regional Planning, 6(4), 147-154. https://doi.org/10.11648/j.urp.20210604.16

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ACS Style

Jiawen Ren; Xin Zhou; Xing Shi; Xing Jin. Analysis of Occupants’ Air-Conditioning Opening Behaviour Based on the Survival Model. Urban Reg. Plan. 2021, 6(4), 147-154. doi: 10.11648/j.urp.20210604.16

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AMA Style

Jiawen Ren, Xin Zhou, Xing Shi, Xing Jin. Analysis of Occupants’ Air-Conditioning Opening Behaviour Based on the Survival Model. Urban Reg Plan. 2021;6(4):147-154. doi: 10.11648/j.urp.20210604.16

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@article{10.11648/j.urp.20210604.16,
  author = {Jiawen Ren and Xin Zhou and Xing Shi and Xing Jin},
  title = {Analysis of Occupants’ Air-Conditioning Opening Behaviour Based on the Survival Model},
  journal = {Urban and Regional Planning},
  volume = {6},
  number = {4},
  pages = {147-154},
  doi = {10.11648/j.urp.20210604.16},
  url = {https://doi.org/10.11648/j.urp.20210604.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.urp.20210604.16},
  abstract = {It is essential to predict building energy consumption through more accurate simulation of building energy consumption, and then put forward suggestions for building energy conservation. Therefore, it is a very important issue to study the variable, random and complex air conditioning usage mode. In the previous studies on air conditioning, it could be found that whether the air conditioning is on or off, it is only a mathematical function about environmental parameters. However, when we arrive at the office and feel uncomfortable, we don't open the window immediately. Instead, we put up with it for a while. In view of the above shortcomings, this study proposed a survival model based on Weibull function to predict the air-conditioning on behavior. Through the verification of the model, we found that the accuracy of the air-conditioning regulation model based on the survival model is more than 74%. We compared and verified the common three-parameter Weibull model with the survival model-based Weibull model, and found that the accuracy of the common three-parameter Weibull model was slightly higher than that of the survival model. At the same time, we analyzed the death event (tolerance temperature) of the survival model, and further improving the tolerance temperature is of great help to the accuracy of the model.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Analysis of Occupants’ Air-Conditioning Opening Behaviour Based on the Survival Model
AU  - Jiawen Ren
AU  - Xin Zhou
AU  - Xing Shi
AU  - Xing Jin
Y1  - 2021/11/24
PY  - 2021
N1  - https://doi.org/10.11648/j.urp.20210604.16
DO  - 10.11648/j.urp.20210604.16
T2  - Urban and Regional Planning
JF  - Urban and Regional Planning
JO  - Urban and Regional Planning
SP  - 147
EP  - 154
PB  - Science Publishing Group
SN  - 2575-1697
UR  - https://doi.org/10.11648/j.urp.20210604.16
AB  - It is essential to predict building energy consumption through more accurate simulation of building energy consumption, and then put forward suggestions for building energy conservation. Therefore, it is a very important issue to study the variable, random and complex air conditioning usage mode. In the previous studies on air conditioning, it could be found that whether the air conditioning is on or off, it is only a mathematical function about environmental parameters. However, when we arrive at the office and feel uncomfortable, we don't open the window immediately. Instead, we put up with it for a while. In view of the above shortcomings, this study proposed a survival model based on Weibull function to predict the air-conditioning on behavior. Through the verification of the model, we found that the accuracy of the air-conditioning regulation model based on the survival model is more than 74%. We compared and verified the common three-parameter Weibull model with the survival model-based Weibull model, and found that the accuracy of the common three-parameter Weibull model was slightly higher than that of the survival model. At the same time, we analyzed the death event (tolerance temperature) of the survival model, and further improving the tolerance temperature is of great help to the accuracy of the model.
VL  - 6
IS  - 4
ER  -

Copy | Download