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

机译:城市建筑能耗的工程模型:确定关键变量及其与建筑环境的相互作用

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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:本文以泰恩河畔纽卡斯尔为例,重点研究了英国郊区城市的空间家庭能源框架。该框架在三个总体规模上估算单个住宅级别的能源最终使用:地区,邻里和社区。该框架使用两种汇总方法,一种使用区域规模上类似住宅的近似原型群集,另一种使用新颖的亚市DEM建筑物及其邻里和社区中的微凝聚能量结构建模。验证策略将三个代表区域中的模拟天然气和电力值与两个总体的电力和天然气分层区域中的DECC值进行了比较:DECC中层超级输出区域(MLSOA)和下层超级输出区域(LLSOA)。我们的工作在以下关键领域讨论了该框架:数据的可用性,调查变量的数量以及填补空白以使单个住宅具有完整的能源标准评估程序(SAP)数据的数据处理方法,为寻找模式提供证据的方法包含在数据集中的方法,用于估算单个和汇总住宅的年度综合(燃气和电力)能耗的方法,验证策略,数据和模型中的不确定性以及在其他城市的规模和复制。

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