The recent commitment towards a net-zero target by 2050 will require considerable improvement to the UK’s building stock. Accounting for over 10% of the services energy consumption of the United Kingdom, the education sector will play an important role. This study aims to improve the understanding of English primary and secondary schools, using national on-site survey data with several large-scale disaggregate data sources. Property Data Survey Programme (PDSP) data on 18,970 schools collected between 2012 and 2014, Display Energy Certificate (DEC) and school census data from the same period were linked and processed to form a unified schools dataset. Statistical analyses were undertaken on 10,392 schools, with a focus on energy performance, and the relationship to several building and system characteristics. The analyses may point to the possibility of assessing operational energy use of schools in a more disaggregate manner. New datasets with detailed and accurate disaggregate information on characteristics of buildings, such as those used in this study, provide opportunities to develop more robust models of the building stock. Such data would provide an opportunity to identify pathways for reducing carbon emissions effectively and provide lessons for other organisations seeking to achieve significant reductions for achieving climate change goals.

Practical Application: Outputs from this study are expected to benefit researchers in various organisations to establish a basis for typical buildings and their performance, facilities managers to assess the operational energy efficiency of school buildings, and relevant public bodies to make informed decisions on improving energy efficiency of the school stock.

最近对 2050 年净零目标的承诺将需要对英国的建筑存量进行相当大的改进。占英国服务能源消耗的 10% 以上，教育部门将发挥重要作用。本研究旨在提高对英语中小学的理解，使用国家现场调查数据和多个大规模分类数据源。将 2012 年至 2014 年间收集的 18,970 所学校的财产数据调查计划 (PDSP) 数据、显示能源证书 (DEC) 和同期的学校人口普查数据进行链接和处理，以形成统一的学校数据集。对 10,392 所学校进行了统计分析，重点是能源绩效以及与若干建筑和系统特征的关系。分析可能会指出以更分散的方式评估学校运营能源使用的可能性。具有详细和准确的建筑物特征分解信息的新数据集（例如本研究中使用的数据集）为开发更强大的建筑存量模型提供了机会。这些数据将提供一个机会来确定有效减少碳排放的途径，并为其他组织寻求显着减少以实现气候变化目标提供经验教训。

实际应用：本研究的成果预计将有益于各组织的研究人员为典型建筑及其性能建立基础，设施管理人员评估学校建筑的运营能源效率，以及相关公共机构就提高能源效率做出明智的决定学校股票。