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This study focuses on the calculation of carbon emissions during prefabricated component transportation phase, figuring out how to accurately infer the carbon emissions factor according to the changing of external factors. Through tracking and analyzing the differences between prefabricated component transportation phase and ordinary building material transportation phase, this paper explores how to establish a calculation mathematical model of carbon emissions factor to reflect the real prefabricated component transportation phase, that work would critically lower the bias of component transportation carbon emissions factors between in real world and giving in relevant national standards. The research content involved in this paper provides quantitative scale for Architecture Engineering and Construction (AEC), and also helps to establish and popularize carbon sink system of Architecture Engineering and Construction (AEC). In this study, prefabricated component, the basic component of assembled building, is taken as the research object and clue. The real carbon emissions performances of transport vehicles loaded with different number of components are simulated, and the carbon emissions factor and related parameter groups of transport vehicles are measured experimentally. Based on the statistical method, the data parameter selection and regression analysis are carried out by using STATA® 12. The relationship between the three parameters of Load Ratio, Average Speed and Atmospheric Temperature on carbon emissions factor are obtained except the types of vehicles. It is found that there is a linear relationship between the carbon emissions factor and the −0.5 power of the Load Ratio, the square of the Atmospheric Temperature and the reciprocal of the Average Speed, and the R2 value of the fitting formula reaches 90.46%. The result has a good interpretation for the measured data, better reflect the real situation of carbon emissions for assembled building during prefabricated component transportation phase, and improve the accuracy of carbon emissions calculation in this phase. If the Load Ratio and Average Speed can be increased, and the transportation time of prefabricated component at lower temperature can be selected, the carbon emissions can be significantly reduced, that could exert positive influence to the environment.

In recent years, energy efficiency and energy saving strategies have become priorities for energy policy in most countries, and green energy saving buildings has attracted more attention in the worldwide. The use of passive energy saving natural ventilation strategy can improve the effect of building energy saving and improve the internal microenvironment of the building. This paper introduces and analyzes the passive preheating natural ventilation double skin facade (DSF) comprehensively. The influence of the structural parameters of the double skin facade in cold season ventilation on the preheating ventilation effect is discussed on the basis of the discussion and experiment of an actual double skin facade office building. Further, the energy-saving effect of the passive preheating natural ventilation double skin facade is simulated and verified. The effect of structural parameters of DSF in cold season on the thermal performance is summarized. These corresponding results could provide some reference for the buildings in the similar climate regions.

Indoor daylighting quality has impacts on occupants’ physical and psychological aspects. Although daylighting design metrics have strictly restricted the amount of sunlight penetration, studies have shown occupants’ preference towards an appropriate amount of sunlight and distributions. Currently, insufficient studies have focused on the composition of interior daylighting distributions. Therefore, this paper presents a laboratory experiment exploring the psychological influences of sunlight patterns under immersive virtual reality scenes. The sunlight patterns are created by a combination of nine aperture designs, two window sizes and two sky types. The experiment collects 41 valid architecture students’ assessments and their physiological responses. Degrees of eight adjectives, including pleasantness, calmness, interest, excitement, complexity, spaciousness, satisfaction with exterior view amount and brightness, are rated by the participants. Physiological data of heart rates and electroencephalogram are collected. According to the analysis, both the aperture designs and sky types have influences upon subjective responses. The large window enhances beta oscillations and beta power on the right prefrontal lobe area, and the clear sky attenuates the theta rhythm on the pre frontal lobe areas. These findings indicate the important influence of natural lightscape compositions created by aperture designs and sky types upon occupants’ psychological processes.