2017Lund University Publications (Lund University)Requires access

Qualifying and Quantifying Thermal Comfort in Highly Glazed Spaces

Medina Deliahmedova, Harris Poirazis, Henrik Davidsson

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Abstract

This paper aims to answer a simple and elemental question: how do we qualify and quantify thermal comfort in highly glazed spaces with diverse occupants’ use and expectation? And, how can designers achieve enhanced occupant experience with passive measures, minimizing the use of HVAC systems in such spaces? In this study variables, such as air and radiant temperatures, air velocity, relative humidity and direct solar component were identified as the “working tools” in order to create different indoor environments that fulfil expectations and serve the building’s function. Parameters such as adaptability, occupants’ expectation and duration of stay within each space are also affecting the acceptance levels of thermal comfort. The study includes the existing standards and comfort models and synthesizes this knowledge to develop a “hands on” method that will help designers meet the comfort expectations of diverse spaces with respect to the vision and the functionality of the building. As a result, an excel based tool was developed that can help designers in understanding thermal comfort and the important affecting variables, leading to appropriate measures for avoiding thermal discomfort and fulfilling the set performance requirements. The tool was used on a case study, where thermal comfort limits were examined for different types of spaces.

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What this paper is about

This paper aims to answer a simple and elemental question: how do we qualify and quantify thermal comfort in highly glazed spaces with diverse occupants’ use and expectation? And, how can designers achieve enhanced occupant experience with passive measures, minimizing the use of HVAC systems in such spaces? In this study variables, such as air and radiant temperatures, air velocity, relative humidity and direct solar component were identified as the “working tools” in order to create different indoor environments that fulfil expectations and serve the building’s function. Parameters such as adaptability, occupants’ expectation and duration of stay within each space are also affecting the acceptance levels of thermal comfort. The study includes the existing standards and comfort models and synthesizes this knowledge to develop a “hands on” method that will help designers meet the comfort expectations of diverse spaces with respect to the vision and the functionality of the building. As a result, an excel based tool was developed that can help designers in understanding thermal comfort and the important affecting variables, leading to appropriate measures for avoiding thermal discomfort and fulfilling the set performance requirements. The tool was used on a case study, where thermal comfort limits were examined for different types of spaces.

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Available abstract

This paper aims to answer a simple and elemental question: how do we qualify and quantify thermal comfort in highly glazed spaces with diverse occupants’ use and expectation? And, how can designers achieve enhanced occupant experience with passive measures, minimizing the use of HVAC systems in such spaces? In this study variables, such as air and radiant temperatures, air velocity, relative humidity and direct solar component were identified as the “working tools” in order to create different indoor environments that fulfil expectations and serve the building’s function. Parameters such as adaptability, occupants’ expectation and duration of stay within each space are also affecting the acceptance levels of thermal comfort. The study includes the existing standards and comfort models and synthesizes this knowledge to develop a “hands on” method that will help designers meet the comfort expectations of diverse spaces with respect to the vision and the functionality of the building. As a result, an excel based tool was developed that can help designers in understanding thermal comfort and the important affecting variables, leading to appropriate measures for avoiding thermal discomfort and fulfilling the set performance requirements. The tool was used on a case study, where thermal comfort limits were examined for different types of spaces.

Key concepts: Thermal comfort, Architectural engineering, Adaptability, HVAC, Set (abstract data type), Computer science, Function (biology), Duration (music)

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