demonstrated how different occupants-related assumptions could even affect energy performance design strategies since the building early design phase. The issue is represented by the necessity to have the real count of the people behavior's weight in the analysis. Once the energy requirements and the performance of a technical system are known, the designed energy system can be further optimized by acting on its weakness or potentialities, through a human-centric design and interaction. Buildings energy consumption is thus predictable with an increasingly precision, thanks to predictive models like dynamic simulation models or energy consumption models, either implementing deterministic or stochastic methods, while taking into the account the potential benefits associated to “green” and conscious energy behaviors. Undoubtedly, one of the first and immediate strategies to be applied concerns the improvement of active and passive solutions, able to provide the energy requirements of our buildings by designing optimized building's envelope, HVAC and lighting system, in addition to the use of new innovative materials and other passive strategies. One of the main aims of new generations must be a radical change in energy management, mostly focused on buildings energy efficiency, by both an economical and environmental point of view. The proposed novel method can assist building design since the early stages, leading to low-cost and human-centric energy efficiency enhancements.īuilding energy demand accounts for over 40% of global energy consumption, and occupants behavior plays a crucial role in the outlined framework in terms of energy needs and uncertainty estimation, especially giving the new trend to build high-performance buildings, such as Net-Zero Energy Building. As expected, non-thermal triggers may affect indoor thermal perception and, potentially, may induce better thermal satisfaction and energy saving behaviors, if properly considered. Both these two latter variables significantly produced placebo effects on most of the interviewed people, who declared to feel relatively hotter in high aspect ratio window conditions and low color temperature. glass filter, window aspect ratio, and artificial lighting color temperature. The VR designed environment was therefore used to reproduce key design variables without modifying the indoor thermal-energy environment during the experiment. To this aim, a physical office room was re-designed through virtual reality (VR) and sense-of-presence feeling was registered, with a 76% of satisfaction rate. This study proposes a new analysis framework and field test method to better comprehend and monitor people environmental perception and attitudes since the design stage, while stimulated through immersive environment modeled in a parametric platform, able to change every specific aspect of the future spaces. Occupants’ behavior is strongly influenced by their perception and represents a major variable affecting buildings' energy performance, but its impact is difficult to predict since the early design stage. Building sector professionals, together with building physicists and human scientists, recognize the occupants' key role in determining final buildings energy needs.
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