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A data analysis of the Chilean housing stock and the development of modelling archetypes

机译：智利住房存量的数据分析和建模原型的发展

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Chile is a South American country experiencing greater social and economic development than the majority of its neighbours and whose economy is transitioning from developing to developed status. It is committed to reduce its greenhouse gas (GHG) emissions by 35-45% by 2030, requiring national energy demand reduction. Chile's housing stock is responsible for 15% of its total final energy consumption and so its Government is regulating the construction of new dwellings, although it is difficult to know if this policy will succeed or lead to unintended consequences affecting energy demand, GHG emissions, and occupant health. Measuring the effects in situ is often time and cost prohibitive and so the simulation of archetypal buildings is a common method of investigation. A range of data sources, such as censuses and building permits, are used to develop archetypal Chilean houses with statistically significant representative values for design parameters related to energy demand and indoor air quality. It finds that 496 archetypes can represent 100% of the Chilean housing stock and only 90 can represent 95% of the stock. The archetypes can be used to predict and evaluate the impacts of policies on indoor air quality and the energy demand of a stock of houses, or to guide future data gathering exercises. The data analysis highlights knowledge gaps in categorical descriptors and occupant behaviours, and poor granularity of physical data. These gaps should be filled by augmenting national surveys and complimented by field work. (C) 2019 Elsevier B.V. All rights reserved.
机译：智利是一个南美国家，其社会和经济发展比其大多数邻国都要快，其经济正在从发展中状态过渡到发达状态。它承诺到2030年将其温室气体（GHG）排放量减少35-45％，这需要降低国家的能源需求。智利的住房库存占其最终最终能源消耗总量的15％，因此，尽管很难知道该政策是否成功或会导致影响能源需求，温室气体排放和排放的意外后果，但智利政府正在监管新住宅的建设。乘员健康。原位测量效果通常会耗费时间和成本，因此，对原型建筑进行模拟是一种常见的调查方法。一系列数据源（例如人口普查和建筑许可）用于开发原型智利房屋，这些房屋具有与能源需求和室内空气质量相关的设计参数具有统计意义的代表性值。研究发现，有496个原型可以代表100％的智利住房，而只有90个可以代表95％的住房。这些原型可以用来预测和评估政策对室内空气质量和房屋能源需求的影响，或指导未来的数据收集工作。数据分析突出显示了分类描述符和占用者行为方面的知识差距，以及物理数据的粒度不佳。这些差距应通过扩大国家调查来填补，并应由实地工作加以补充。 （C）2019 Elsevier B.V.保留所有权利。

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