On the development of exponential regression analysis concerning occupant density and space form to predict energy consumption of outpatient department in hospital. Issue 1 (July 2020)

• Record Type: Journal Article
• Authors: Yuan, Shi; Ge, Li; Zhengyu, Fan
• Is Part Of: IOP conference series. Volume 531:Issue 1(2020)
• Publication Date: 2020-07
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/531/1/012056
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: In outpatient area of medical buildings, the distribution of people and energy consumption are significantly different when the space form scale changes. To obtain the simulation results of energy consumption under different occupant densities and different space forms, then establish a predictive regression model which can quantify the influence on building energy when space form scale and occupant density change, the Design Builder software is used to simulate the energy consumption. On the basis of the above simulations, this paper explores the characteristics and rules of energy-saving form of outpatient area which could provide references for the low-energy medical building design. The results show that when the total area of the outpatient department is constant, the energy consumption decreases when the occupant density increases; when the width of the peripheral zone increases, the energy consumption increases accordingly. The specific value of energy consumption can be predicted by regression model.