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Estimation of the Thermal Sensitivity of a Dwelling to Variations in Architectural and Behavioural Parameters

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Abstract

The provision of energy for households is a major contributor to greenhouse gas emissions in the domestic sector. There is significant scope for energy savings and thus emission reduction in this sector. This paper constructs a bridge between thermal analysis and environmental assessment in the occupancy stage of the dwelling life cycle, approaching both methods as being on a common system Environment–Dwelling–Inhabitant. The importance of the local level in the thermal analysis and assessment of either a dwelling or an inhabitant's behaviour is demonstrated. It is shown that the researcher can choose between natural experiment, computer experiment and mathematical modelling to analyze the system. Such a choice is discussed for two particular methods of thermal analysis. Thermal Nomograms are the result of mathematical modelling, and the Energy Score Sheet is the result of a computer experiment in energy rating. Despite being developed for the purpose of thermal analysis, these methods can also be utilized for environmental assessment at the local level. The discussion centres on Australian conditions where the majority of the population resides in a relatively benign climate wherein behavioural alterations have significant potential for energy savings and environmental impact. The purpose of the paper is to emphasise benefits apart from energy minimisation to promote the use of energy efficient housing strategies.

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Authors and Affiliations

  1. CIAM, UniSA, Mawson Lakes Campus, UniSA, Mawson Lakes, 5095, Australia

    John Boland & Olena Kravchuk

  2. Sustainable Energy Centre, UniSA, Mawson Lakes Campus, UniSA, Mawson Lakes, 5095, Australia

    Wasim Saman & Rowan Kilsby

Authors
  1. John Boland
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  2. Olena Kravchuk
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  3. Wasim Saman
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  4. Rowan Kilsby
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Boland, J., Kravchuk, O., Saman, W. et al. Estimation of the Thermal Sensitivity of a Dwelling to Variations in Architectural and Behavioural Parameters. Environmental Modeling & Assessment 8, 101–113 (2003). https://doi.org/10.1023/A:1023943711707

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