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Aside from the consumption for domestic cooling and heating, the energy consumption of appliances in a household is a large amount. This energy use by appliances is highly dependent on the activities of the occupants in a building. Occupant behavior in residential buildings possesses the characteristic of randomness, variety, and complexity. More specifically, the profiles of energy consumption and appliance use are highly dependent on the timing of residents’ activities. Thus, it is necessary to model the domestic energy use profile with high temporal resolution. For example, in the context of energy demand response analysis, it is crucial to take occupant behavior into consideration. This article presents a thorough and detailed method for generating an appliance use pattern based on measured power data in real households, taking the television as a case study. The study develops a stochastic model based on appliance use data at one-minute temporal resolution. The proposed model firstly extracts feature parameters to depict the use behavior of the appliance. Then, one stochastic simulation model is established with the input of feature parameters. An evaluation method for this appliance behavior model is also proposed. As a result of one case study simulating appliance consumption at a variety of scales of households, it was concluded that the model can enable applicability to further household energy profile simulation.


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Appliance use behavior modelling and evaluation in residential buildings: A case study of television energy use

Show Author's information Yuan Jin1Jieyan Xu2Da Yan1( )Hongsan Sun1Jingjing An1Jianghui Tang2Ruosi Zhang2
School of Architecture, Tsinghua University, Beijing 100084, China
State Grid Integrated Energy Planning and D&R Institute, Beijing 100052, China

Abstract

Aside from the consumption for domestic cooling and heating, the energy consumption of appliances in a household is a large amount. This energy use by appliances is highly dependent on the activities of the occupants in a building. Occupant behavior in residential buildings possesses the characteristic of randomness, variety, and complexity. More specifically, the profiles of energy consumption and appliance use are highly dependent on the timing of residents’ activities. Thus, it is necessary to model the domestic energy use profile with high temporal resolution. For example, in the context of energy demand response analysis, it is crucial to take occupant behavior into consideration. This article presents a thorough and detailed method for generating an appliance use pattern based on measured power data in real households, taking the television as a case study. The study develops a stochastic model based on appliance use data at one-minute temporal resolution. The proposed model firstly extracts feature parameters to depict the use behavior of the appliance. Then, one stochastic simulation model is established with the input of feature parameters. An evaluation method for this appliance behavior model is also proposed. As a result of one case study simulating appliance consumption at a variety of scales of households, it was concluded that the model can enable applicability to further household energy profile simulation.

Keywords: occupant behavior, household appliance, statistical and stochastic model

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Publication history

Received: 26 November 2019
Accepted: 09 April 2020
Published: 04 June 2020
Issue date: August 2020

Copyright

© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2020

Acknowledgements

This study was supported by "the 13th Five-Year" National Key R&D Program of China (No. 2017YFC0702200). Meanwhile, this study was supported by the National Natural Science Foundation of China (No. 51778321). This work was also supported by Science and Technology Project of State Grid of China (Research and Development on Key Technology of Universal Energy Flow Model Based Regional Multi-energy System).

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