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Engineering Modelling of Building Energy Consumption in Cities: Identifying Key Variables and Their Interactions with the Built Environment

机译:城市能源消耗的工程建模:识别关键变量及其与建筑环境的互动

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This paper focuses on a spatial domestic energy framework of sub-city areas in the United Kingdom using Newcastle upon Tyne as a case study. The framework estimates the energy end-use at the single dwelling level on three aggregate scales: district, neighbourhood and community. The framework uses two aggregation approaches, one using an approximated prototype-cluster of similar dwellings at the district scale and the other using a novel, sub-city DEM modelling of building and its micro-cohesive energy structures in neighbourhoods and communities. The validation strategy compare the modelled gas and electricity values in three representative districts against the DECC values in two aggregate hierarchical areas for electricity and gas: the DECC Medium Layer Super Output Area (MLSOA), and the Lower Layer Super Output Area (LLSOA). Our work discusses this framework in key areas: the availability of data, the number of surveyed variables and data processing methods for filling blanks in order to have an individual dwelling's complete energy Standard Assessment Procedure (SAP) profile, methods to provide evidence for finding patterns residing in the data set, methods for estimating the annual composite (gas and electricity) energy consumption for individual and aggregated dwellings, the validation strategy, the uncertainties associated in the data and model, and scaling and replication in other cities.
机译:本文侧重于英国的次城地区的空间国内能源框架,以泰恩为例。该框架估计在三个骨料级别的单一住宅水平上的能源最终用途:区,邻里和社区。该框架使用了两个聚合方法,其中一个聚合方法使用了区域规模的相似住宅的近似原型簇,另一个使用新颖的,子城市在社区和社区中的微型凝聚能量结构的模拟。验证策略将三个代表区的建模气体和电力值与电力和气体两种聚合分层区域中的DECC值进行比较:DECC中层超级输出区域(MLSOA)和下层超级输出区域(LLSOA)。我们的工作讨论了关键领域的框架:数据的可用性,被调查变量的数量和用于填充空白的数据处理方法,以便拥有个人住所的完整能源标准评估程序(SAP)简介,为寻找模式提供证据的方法居住在数据集中,估算个人和聚合住所的年度复合(天然气和电)能耗的方法,验证策略,数据和模型中相关的不确定性,以及其他城市的缩放和复制。

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