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Estimation of the thermal sensitivity of a dwelling to variations in architectural and behavioural parameters

机译:估算住宅对建筑和行为参数变化的热敏感性

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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 Nomo-grams 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.
机译:为家庭提供能源是家庭部门温室气体排放的主要贡献者。在该部门中,存在很大的节能余地,因此可以减少排放。本文在住宅生命周期的占用阶段,构建了热分析与环境评估之间的桥梁,将这两种方法都放在一个常见的环境“住宅”中。说明了在热分析和评估住宅或居民行为方面,当地水平的重要性。结果表明,研究人员可以在自然实验,计算机实验和数学建模之间进行选择,以对系统进行分析。对于两种特殊的热分析方法,讨论了这种选择。热正则图是数学建模的结果,而能源得分表是计算机进行的能量评级实验的结果。尽管为热分析目的而开发了这些方法,但是这些方法也可以用于地方一级的环境评估。讨论的重点是大多数人口居住在相对温和的气候中的澳大利亚条件,其中的行为改变具有巨大的节能潜力和环境影响潜力。本文的目的是强调除能源最小化以外的好处,以促进使用节能住宅策略。

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