Energy use intensities in London houses

Energy use intensities in London houses
复制标题

伦敦房屋的能源使用强度

DOI:
--
复制
发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Rayan Azhari
Rayan Azhari
中科院分区:
--
文献类型:
--
作者:
R. Liddiard;D. Godoy;P. Ruyssevelt;P. Steadman;S. Evans;Dominic Humphrey;Rayan Azhari

文献摘要

参考文献

被引文献

相似文献

本研究比较了国内计量能源数据,天然气和电力消费,对大伦敦,英国的建筑物库存模型的特点。能源分析仅限于以一个标准电表和一个主煤气表为主要子集的房屋(单栋建筑、单户)。这提供了近120万的样本,即伦敦房屋存量的75%。能源使用通过计算的建筑面积进行标准化,提供能源使用强度(EUI; kWh/m2/yr),可以比较所有大小的属性。对每种建筑形式的EUI与能源性能证书(EPC)当前能源效率(资产评级值)的检查表明,两者之间的相关性很弱或非常弱,特别是对于电力。实践相关性研究表明,如何详细的建筑存量模型可用于分析计量能源使用的城市地区的建筑物:在这种情况下,房子。这些分析检查了构成存量模型的数据的某些方面,例如建筑形式和年龄,这些数据可以被认为是单个建筑物的规模。该模型目前覆盖了大伦敦,但正在为英格兰和威尔士的其他城市地区建立,从而使其有可能帮助不同层次的政府或其他参与者努力减少建筑物中的能源使用-无论是国内还是非国内。该模型的某些方面,如楼面面积的计算,应可在可获得这些数据的情况下复制。
This research compares domestic metered energy data, for both gas and electricity consumption, against characteristics drawn from a building stock model of Greater London, UK. The energy analyses are limited to houses (single-building, single household) with one standard electricity meter and one mains gas meter as the principal subset. This provides a sample of almost 1.2 million, or 75%, of London’s stock of houses. Energy use was normalised by calculated floor area, providing an energy use intensity (EUI; kWh/m2/yr), which allows properties of all sizes to be compared. Examination of EUIs of each built form versus Energy Performance Certificate (EPC) current energy efficiency (Asset Rating value) indicates weak, or very weak, correlation between the two, particularly for electricity. Practice relevance The study demonstrates how a detailed building stock model may be used for the analysis of metered energy use in the buildings of urban areas: in this case houses. The analyses examine some aspects of the data that constitute the stock model, such as built form and age, which are held at the scale of what can be considered to be individual buildings. The model currently covers Greater London, but is being built for other urban areas of England and Wales, thus giving it the potential to aid different layers of government or other actors in their efforts to reduce energy use in the building stock—both domestic and non-domestic. Some aspects of the model, such as the calculation of floor areas, should be replicable, where these data are accessible.
能源流行病学:终端能源需求研究的新方法
DOI: 10.1080/09613218.2013.798142
发表时间: 2013
影响因子: 3.9
作者:
Hamilton I
通讯作者: Hamilton I