Uidhir Tomás Mac, Rogan Fionn, Collins Matthew, Curtis John, Ó Gallachóir Brian
Energy Policy and Modelling Group, MaREI Centre, Environmental Research Institute, University College Cork, Lee Road, Cork, Ireland.
Economic and Social Research Institute, Sir John Rogerson's Quay, Dublin, Ireland.
Data Brief. 2020 Feb 22;29:105247. doi: 10.1016/j.dib.2020.105247. eCollection 2020 Apr.
These data support the research article "Improving energy savings from a residential retrofit policy: a new model to inform better retrofit decisions" - (Mac Uidhir et al., 2019) [1]. This article presents 3 data sources which are utilised in conjunction with a detailed energy system model of the residential sector to explore policy pathways for residential retrofitting. Data is collected from the Central Statistics Office (CSO) and the Sustainable Energy Authority of Ireland (SEAI). The first SEAI dataset is compiled for Ireland in compliance with the (EPBD) [2]. Data is collected using the Dwelling Energy Assessment Procedure (DEAP) [3]. DEAP is used to produce energy performance certificates known as Building Energy Ratings (BER). A BER indicates a buildings energy performance across a 15-point energy efficiency scale, rated alphabetically from A1 to G, in units of kWh/m year. A BER is required for new buildings and the rent or sale of existing dwellings - therefore the database has consistently grown in size since its inception in 2006. The BER database contains 735,906 records of individual dwellings. The database includes detailed building fabric information across a range of different building types, year of construction, Main/Secondary space/water heating fuels, heating system efficiency, ventilation method and structure type (Insulated concrete form, Masonry, Timber or Steel Frame). The second SEAI dataset (PWBER) contains aggregated pre and post BER information for a sample of 112,007 dwellings retrofitted during the period 2010-2015; this database contains mean energy efficiency improvement (kWh/m year) for a range of retrofit combinations as they apply to nine distinct building archetypes. The third CSO dataset is compiled from census data, representing the frequency of building types by year of construction.
这些数据支持研究文章《提高住宅改造政策的能源节约：一种为更好的改造决策提供信息的新模型》（Mac Uidhir等人，2019年）[1]。本文介绍了3个数据源，这些数据源与住宅部门的详细能源系统模型结合使用，以探索住宅改造的政策途径。数据收集自爱尔兰中央统计局（CSO）和爱尔兰可持续能源管理局（SEAI）。第一个SEAI数据集是根据（欧洲议会和欧盟理事会关于建筑物能效的指令）（EPBD）[2]为爱尔兰编制的。数据使用住宅能源评估程序（DEAP）[3]收集。DEAP用于生成称为建筑能源评级（BER）的能源性能证书。BER表示建筑物在15分能效等级上的能源性能，从A1到G按字母顺序评级，单位为kWh/m²年。新建筑以及现有住宅的出租或出售都需要BER——因此，自2006年创建以来，该数据库的规模一直在持续增长。BER数据库包含735,906条独立住宅记录。该数据库包括一系列不同建筑类型、建造年份、主要/次要空间/水加热燃料、供暖系统效率、通风方法和结构类型（绝缘混凝土模板、砖石、木材或钢框架）的详细建筑结构信息。第二个SEAI数据集（PWBER）包含2010 - 2015年期间进行改造的112,007套住宅样本的BER前后汇总信息；该数据库包含一系列改造组合应用于九种不同建筑原型时的平均能源效率提高（kWh/m²年）。第三个CSO数据集是根据人口普查数据编制的，代表按建造年份划分的建筑类型频率。
