2.2. Home Energy Efficiency Database
The Homes Energy Efficiency Database (HEED) currently contains information on the characteristics and energy efficiency on over 13 million homes from England, Wales, Scotland and Northern Ireland5. In 2010, there were approximately 27.3 million dwellings in the UK6 and HEED covers approximately 50% of the UK housing stock (Energy Saving Trust, 2010). HEED was drawn together from approximately 60 datasets and collected from approximately 20 organisations. The bulk of HEED data was classified using the Reduced Standard Assessment Procedure (rdSAP) format, which attempts to categorise dwellings into common bands relevant to modelling energy demand (BRE and DECC, 2009). Where other forms were used, additional variables were added or were allocated to the best available class within rdSAP. The Energy Saving Trust undertook this data cleaning prior to the data being made available for use in this study.
The extract of the database in February of 2009 used in this study contained approximately 11.5 million distinct home identifiers. The data provided in HEED draws from survey data, and data on specific measures installed under a variety of government backed schemes and energy supplier obligations. Table 1 provides a summary list of these data sources andFig. 2 shows a breakdown of the sources for the analysed extract of HEED. Note that the variables collected under each source vary and many sources for measures include survey data. HEED comprises information at the inpidual dwelling level rather than by households or occupants. It contains no information on households or dwelling occupant, aside from household tenure, and thus socio-cultural and economic factors cannot be determined directly. The database primarily contains information on the physical features of the dwelling as they pertain to the energy efficiency of the structure (i.e. fabric) and the heating system; see Table 2 for a summary of the survey and measures data. Approximately 2.7 M homes appear in at least two programmes (i.e. source datasets) and 1 M in three programmes, while the majority (7.2 M) are present in only one programme, see Appendix A for more details on HEED.
 2.3. HEED and energy demand
For this study, a dataset containing all matched HEED dwellings and related annualised gas and electricity values for the period 2004–2007 was used; Table 3 shows the number of records contained within the source data sets. Note the number of records in electricity and gas represent all meters in Great Britain, both domestic (i.e. residential) and non-domestic and that the number of records for electricity meters includes those on a time-tariff (i.e. these meters have two records each for on and off-peak time). The two time tariffs are subsequently summed together for a single annual value. Also, the 2007 gas demand is for homes in HEED only and not the whole UK—this data was not made available for use in this work. For those comparisons between HEED and non-HEED energy demand, 2006 data was used. Comparisons of energy use and for installed efficiency measures were based on 2007 data in order to capture a longer time period and more interventions.
英国住房能效：能源需求和家庭能源效率数据库
摘要：英国政府已经推出一个雄心勃勃的改造方案，旨在显著改善住房存量的能源效率。对建筑物能源效率和其相关的能源需求是支持和针对能效投资的关键数据。在过去15年中使用现有的家装方案，英国政府已聚集了上节能改造数据，大约13万个家庭进入房屋能效数据库（HEED），2004年-2007年计量的天然气和电力的使用。本文介绍了HEED样本，并评估其代表性在居住特性方面，使用链接煤气和电表数据的不同能级的能源需求，以冲击改造措施的分析以及对能源的需求论文网。节能示要与安装阁楼和空腔的绝缘，以及玻璃和锅炉更换相关联。分析说明了“动态”的数据可以用来提供能源需求的节能改造的影响的经验估计这一来源，并会提供一个支持全国住宅节能改造政策的发展经验数据源。 能源需求和家庭能源效率数据库英文文献和中文翻译(5):http://www.751com.cn/fanyi/lunwen_49241.html