A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
BIM-Based DSS for Enhancing Occupants’ Comfort
https://orcid.org/https://orcid.org/0000-0001-7443-4723
In this chapter, we will explore the integration of BIM with a probabilistic model to assess various aspects of occupants’ comfort within building environments. Specifically, we will focus on thermal comfort, acoustic comfort, indoor air quality, visual comfort, and space adequacy. The study employs a meticulously developed satisfaction survey alongside an occupants’ comfort probabilistic model to systematically identify and evaluate the underlying causes of discomfort experienced by occupants. The integration process commences with the identification of essential data required by the probabilistic model, followed by synthesizing this data with feedback obtained from occupants through the satisfaction survey. BIM technology plays a key role in facilitating this synthesis by supporting the aggregation and analysis of data and enabling the visual representation of occupants’ comfort levels across different spaces within a building. By utilizing a color scale for visualization, the model offers an intuitive understanding of comfort variations while highlighting areas that require attention. Moreover, this integrated approach provides substantial advantages for facility managers and property owners. It allows them to identify specific factors contributing to discomfort, empowering them to implement precise interventions to effectively address these issues. The result is a more favorable living and working environment that significantly enhances occupant satisfaction and well-being. The effectiveness and relevance of this model are further bolstered by a case study, which offers empirical evidence validating the model's capability to accurately assess and improve occupants’ comfort. This case study not only confirms the model's validity but also demonstrates its practical implications in real-world settings, making it a valuable tool for enhancing the habitability and functionality of modern building environments.
BIM-Based DSS for Enhancing Occupants’ Comfort
https://orcid.org/https://orcid.org/0000-0001-7443-4723
In this chapter, we will explore the integration of BIM with a probabilistic model to assess various aspects of occupants’ comfort within building environments. Specifically, we will focus on thermal comfort, acoustic comfort, indoor air quality, visual comfort, and space adequacy. The study employs a meticulously developed satisfaction survey alongside an occupants’ comfort probabilistic model to systematically identify and evaluate the underlying causes of discomfort experienced by occupants. The integration process commences with the identification of essential data required by the probabilistic model, followed by synthesizing this data with feedback obtained from occupants through the satisfaction survey. BIM technology plays a key role in facilitating this synthesis by supporting the aggregation and analysis of data and enabling the visual representation of occupants’ comfort levels across different spaces within a building. By utilizing a color scale for visualization, the model offers an intuitive understanding of comfort variations while highlighting areas that require attention. Moreover, this integrated approach provides substantial advantages for facility managers and property owners. It allows them to identify specific factors contributing to discomfort, empowering them to implement precise interventions to effectively address these issues. The result is a more favorable living and working environment that significantly enhances occupant satisfaction and well-being. The effectiveness and relevance of this model are further bolstered by a case study, which offers empirical evidence validating the model's capability to accurately assess and improve occupants’ comfort. This case study not only confirms the model's validity but also demonstrates its practical implications in real-world settings, making it a valuable tool for enhancing the habitability and functionality of modern building environments.
BIM-Based DSS for Enhancing Occupants’ Comfort
https://orcid.org/https://orcid.org/0000-0001-7443-4723
In this chapter, we will explore the integration of BIM with a probabilistic model to assess various aspects of occupants’ comfort within building environments. Specifically, we will focus on thermal comfort, acoustic comfort, indoor air quality, visual comfort, and space adequacy. The study employs a meticulously developed satisfaction survey alongside an occupants’ comfort probabilistic model to systematically identify and evaluate the underlying causes of discomfort experienced by occupants. The integration process commences with the identification of essential data required by the probabilistic model, followed by synthesizing this data with feedback obtained from occupants through the satisfaction survey. BIM technology plays a key role in facilitating this synthesis by supporting the aggregation and analysis of data and enabling the visual representation of occupants’ comfort levels across different spaces within a building. By utilizing a color scale for visualization, the model offers an intuitive understanding of comfort variations while highlighting areas that require attention. Moreover, this integrated approach provides substantial advantages for facility managers and property owners. It allows them to identify specific factors contributing to discomfort, empowering them to implement precise interventions to effectively address these issues. The result is a more favorable living and working environment that significantly enhances occupant satisfaction and well-being. The effectiveness and relevance of this model are further bolstered by a case study, which offers empirical evidence validating the model's capability to accurately assess and improve occupants’ comfort. This case study not only confirms the model's validity but also demonstrates its practical implications in real-world settings, making it a valuable tool for enhancing the habitability and functionality of modern building environments.
BIM-Based DSS for Enhancing Occupants’ Comfort
Alavi, Hamidreza (author) / Kookalani, Soheila (author) / Rahimian, Farzad (author) / Forcada, Núria (author)
Integrated Building Intelligence ; Chapter: 6 ; 79-99
2024-09-01
21 pages
Article/Chapter (Book)
Electronic Resource
English
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