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3 results on '"human sensor data"'

1. Multiscale modeling of in-room temperature distribution with human occupancy data: a practical case study.

Author

Kono, Yohei, Susuki, Yoshihiko, Hayashida, Mitsunori, Mezić, Igor, and Hikihara, Takashi

Subjects
TEMPERATURE distribution, DIFFUSION coefficients, MATHEMATICAL models of diffusion, AIR flow, ARCHITECTURAL design
Abstract

This paper develops a method for modelling of in-room temperature distribution incorporated with data collected by human sensors. This modelling is based on a standard two-dimensional heat diffusion equation with an effective diffusion coefficient. The effective diffusion coefficient is nominally identified from characteristics of air flow inside a room and its architectural design. For modelling multiple time-scale influence of human occupancy on the in-room temperature distribution, two independent parameters—the effective diffusion coefficient and human heat input—of the equation are modulated with the human sensor data that capture spatio-temporal dynamics of the occupancy in high resolution. The developed method is applied to a practical office space in commercial building in Japan so that its effectiveness is demonstrated by comparing numerical simulations of the equation with measured data on temperature. [ABSTRACT FROM PUBLISHER]

Published
2018
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2. Multiscale modeling of in-room temperature distribution with human occupancy data: a practical case study

Author

Yohei Kono, Mitsunori Hayashida, Yoshihiko Susuki, Igor Mezic, and Takashi Hikihara

Subjects
Occupancy, Distribution (number theory), 020209 energy, Thermodynamics, 02 engineering and technology, Building and Construction, Multiscale modeling, Computer Science Applications, modelling, human sensor data, effective diffusion coefficient, multiscale, Modeling and Simulation, Architecture, 0202 electrical engineering, electronic engineering, information engineering, Environmental science, In-room temperature distribution, Statistical physics
Abstract

This paper develops a method for modelling of in-room temperature distribution incorporated with data collected by human sensors. This modelling is based on a standard two-dimensional heat diffusion equation with an effective diffusion coefficient. The effective diffusion coefficient is nominally identified from characteristics of air flow inside a room and its architectural design. For modelling multiple time-scale influence of human occupancy on the in-room temperature distribution, two independent parameters—the effective diffusion coefficient and human heat input—of the equation are modulated with the human sensor data that capture spatio-temporal dynamics of the occupancy in high resolution. The developed method is applied to a practical office space in commercial building in Japan so that its effectiveness is demonstrated by comparing numerical simulations of the equation with measured data on temperature.

Published
2017
Full Text
View/download PDF

3. Multiscale modeling of in-room temperature distribution with human occupancy data: a practical case study

Author

40402961, 70198985, Kono, Yohei, Susuki, Yoshihiko, Hayashida, Mitsunori, Mezic, Igor, Hikihara, Takashi, 40402961, 70198985, Kono, Yohei, Susuki, Yoshihiko, Hayashida, Mitsunori, Mezic, Igor, and Hikihara, Takashi

Abstract

This paper develops a method for modelling of in-room temperature distribution incorporated with data collected by human sensors. This modelling is based on a standard two-dimensional heat diffusion equation with an effective diffusion coefficient. The effective diffusion coefficient is nominally identified from characteristics of air flow inside a room and its architectural design. For modelling multiple time-scale influence of human occupancy on the in-room temperature distribution, two independent parameters—the effective diffusion coefficient and human heat input—of the equation are modulated with the human sensor data that capture spatio-temporal dynamics of the occupancy in high resolution. The developed method is applied to a practical office space in commercial building in Japan so that its effectiveness is demonstrated by comparing numerical simulations of the equation with measured data on temperature.

Published
2018

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