Towards carbon neutrality: mapping mass retrofit opportunities in Cambridge, UK

This study proposes a methodology and a proof of concept to target and prioritise mass retrofitting of residential buildings in the UK using open building datasets that combines fabric energy efficiency and fuel poverty to meet the Net-Zero targets. The methodological framework uses a series of multivariate statistical and geo-spatial methods that consider both socio-economic and physical attributes. In addition, thermal imaging is implemented to provide insights at the building scale. We define a Hard to Decarbonise (HtD) metric to enable the clustering of different residential types to establish retrofitting priorities. Using Cambridge, UK, as a case study, five neighbourhoods were identified and characterised to help determine decarbonisation intervention priorities. We found that two of five clusters of neighbourhoods are HtD and require more policy support from government for the implementation of retrofit strategies. The achieved framework has the potential to inform policy and de..., Open dataset was used for the analysis. Thermal images of buildings were collected through reconnaisance survey. It was processed using statistical methods. , , # Towards carbon neutrality: mapping mass retrofit opportunities in Cambridge, UK [https://doi.org/10.5061/dryad.3tx95x6r0](https://doi.org/10.5061/dryad.3tx95x6r0) ## Description of the data and file structure **Towards carbon neutrality: mapping mass retrofit opportunities in Cambridge, UK** ### Files and variables #### File: File\_1\_-\_IMD2019\_Index\_of\_Multiple\_Deprivation.xlsx **Description:** Index for multiple deprivation details the relative deprivation in small areas in England called lower super output areas (LSOA). ##### Variables * LSOA code (2011)   * LSOA name (2011)   * Local Authority District code (2019)   * Local Authority District name (2019)   * Index of Multiple Deprivation (IMD) Rank   * Index of Multiple Deprivation (IMD) Decile #### File: EPC\_and\_above.xlsx **Description:** Describes the Energy Performance Certificates (EPC) of grade C or above at the LSOA levels. ##### Variables * Lower super output area (LSOA) code\ Lower super ou...本研究提出一套方法论与概念验证方案，旨在借助融合了建筑围护结构能效与能源贫困维度的开放建筑数据集，对英国住宅建筑的大规模改造进行精准定位与优先级排序，以助力实现净零排放目标。该方法论框架采用一系列多元统计与地理空间分析方法，同时兼顾社会经济属性与建筑物理属性。此外，本研究引入热成像技术，以获取建筑尺度的精细化洞察。我们定义了难以脱碳（Hard to Decarbonise, HtD）量化指标，用于对不同住宅类型开展聚类分析，以此确定改造优先级。本研究以英国剑桥市为案例研究对象，识别并刻画了五个街区的特征，以辅助确定脱碳干预优先级。研究结果显示，五个街区聚类中有两个属于难以脱碳类型，需政府提供更多政策支持以推动改造策略落地实施。本研究构建的框架可为政策制定提供决策参考，本次分析采用开放数据集。建筑热成像数据通过现场踏勘调查采集，并经统计方法处理完成。# 迈向碳中和：英国剑桥市大规模改造机遇制图 [https://doi.org/10.5061/dryad.3tx95x6r0](https://doi.org/10.5061/dryad.3tx95x6r0) ## 数据与文件结构说明 **迈向碳中和：英国剑桥市大规模改造机遇制图** ### 文件与变量 #### 文件：File_1_-_IMD2019_Index_of_Multiple_Deprivation.xlsx **说明**：多重贫困指数数据集详细记录了英格兰被称为低层超级输出区（Lower Super Output Area, LSOA）的小区域内的相对贫困状况。 ##### 变量 * LSOA代码（2011版） * LSOA名称（2011版） * 地方行政区代码（2019版） * 地方行政区名称（2019版） * 多重贫困指数（Index of Multiple Deprivation, IMD）排名 * 多重贫困指数（IMD）十分位等级 #### 文件：EPC_and_above.xlsx **说明**：该数据集记录了LSOA层级下评级为C级及以上的能源性能证书（Energy Performance Certificate, EPC）信息。 ##### 变量 * 低层超级输出区（LSOA）代码 * 低层超级输出区（LSOA）名称（原文存在截断）