Multiscale modeling of in-room temperature distribution with human occupancy data: a practical case study. Issue 2 (4th March 2018)

• Record Type: Journal Article
• Authors: Kono, Yohei; Susuki, Yoshihiko; Hayashida, Mitsunori; Mezić, Igor; Hikihara, Takashi
• Is Part Of: Journal of building performance simulation. Volume 11:Issue 2(2018)
• Page Start: 145
• Page End: 163
• Publication Date: 2018-03-04
• Subjects: In-room temperature distribution -- human sensor data -- modelling -- effective diffusion coefficient -- multiscale; 690.0113
• DOI: 10.1080/19401493.2017.1313314
• Languages: English
• ISSNs: 1940-1493

Abstract

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.