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A platform for research: civil engineering, architecture and urbanism
Building Energy Management Systems (BEMS) optimization, by modeling occupants' behavior towards an agent-based approach
In the last decades, in response to the high impact of buildings on global energy consumption and on the greenhouse gases emission, recent international directives have introduced the standard of "Nearly Zero Energy Building (NZEB)" to be realized from 2021. Despite the increasing attention to the development of strategies and innovative technology solutions for the energy efficiency of building components and HVAC systems, the human dimension, especially regarding the operating modes of the building-HVAC system by occupants, is often neglected. In most cases, this causes a significant discrepancy between the designed and the real total energy use in build-ings. Indeed, monitoring studies for identical dwellings having the same type of installations have shown great variation in energy use. Occupants constitute one of the major source of microclimate alteration in built environment, both as "passive agents" (for sensible and latent energy emissions, and emissions of pollutants), both as "active agents" as result of interaction with the buildings in order to achieve the desired comfort level (by acting on thermostats, by changing the state of opening or closing of windows and /or shading, by activating artificial lighting, etc.) Above all in the buildings characterized by higher levels of the insulation and air tightness, the occupants behavior may have a great influence on the energy con-sumptions and on indoor environment conditions. If the occupants have the possibility to manipulate the set-points temperature, the ventilation rates etc., the performance of the building will be affected by the behavior of the occupants. As consequence, even the most efficient building, may give rise to waste in case of incorrect use by occupants. Nowadays the understanding of occupant behavior results inappropriate, overly simplified, leading to inaccurate expectations of building energy performance. A common approach to model occupant behavior consists of assumptions based on scientists’ thoughts or literature reviews. ...
Building Energy Management Systems (BEMS) optimization, by modeling occupants' behavior towards an agent-based approach
In the last decades, in response to the high impact of buildings on global energy consumption and on the greenhouse gases emission, recent international directives have introduced the standard of "Nearly Zero Energy Building (NZEB)" to be realized from 2021. Despite the increasing attention to the development of strategies and innovative technology solutions for the energy efficiency of building components and HVAC systems, the human dimension, especially regarding the operating modes of the building-HVAC system by occupants, is often neglected. In most cases, this causes a significant discrepancy between the designed and the real total energy use in build-ings. Indeed, monitoring studies for identical dwellings having the same type of installations have shown great variation in energy use. Occupants constitute one of the major source of microclimate alteration in built environment, both as "passive agents" (for sensible and latent energy emissions, and emissions of pollutants), both as "active agents" as result of interaction with the buildings in order to achieve the desired comfort level (by acting on thermostats, by changing the state of opening or closing of windows and /or shading, by activating artificial lighting, etc.) Above all in the buildings characterized by higher levels of the insulation and air tightness, the occupants behavior may have a great influence on the energy con-sumptions and on indoor environment conditions. If the occupants have the possibility to manipulate the set-points temperature, the ventilation rates etc., the performance of the building will be affected by the behavior of the occupants. As consequence, even the most efficient building, may give rise to waste in case of incorrect use by occupants. Nowadays the understanding of occupant behavior results inappropriate, overly simplified, leading to inaccurate expectations of building energy performance. A common approach to model occupant behavior consists of assumptions based on scientists’ thoughts or literature reviews. ...
Building Energy Management Systems (BEMS) optimization, by modeling occupants' behavior towards an agent-based approach
2017-01-01
doi:10.60576/poliba/iris/rinaldi-alessandro_phd2017
Theses
Electronic Resource
English
DDC:
690
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