Local Energy Mapping Using Publicly Available Data for Urban Energy Retrofit
Local Energy Mapping Using Publicly Available Data for Urban Energy Retrofit
复制标题
使用公开数据绘制本地能源图以进行城市能源改造
DOI：
10.1007/978-3-319-50346-2_15
复制
发表时间：
2017
期刊：
影响因子：
1.6
通讯作者：
M. Gregg
中科院分区：
文献类型：
--
作者：
Rajat Gupta;M. Gregg
迫切需要提高建筑环境的能源性能，以帮助缓解燃料贫困，实现国家碳目标，并改善当地经济。这就是为什么地方当局制定了减少碳排放和燃料贫困以及在其所在地区创造长期、高质量就业机会的目标。大规模的能源改造计划可以实现这些目标，但它们需要更有针对性，更具成本效益，并导致更高的吸收。本章研究了如何利用公开的住房和能源数据集来规划大规模改造，并在整个城市提供有针对性的低碳措施，以解决以下挑战：哪些家庭可以从哪些改造措施中受益的数据不完整，以及无法汇总私营部门住房改造活动以最大限度地降低安装成本。与能源相关的评估使用牛津郡比斯特市公开的国家和地方数据进行，并使用GIS平台进行呈现。主要数据集包括地形测量（OS）地图、OS地址点、能源绩效证书数据（EPC）和地方能源统计。EPC数据（6000处房产）和比斯特的地方数据被用来确定高能耗、燃料贫乏以及需要墙壁和屋顶隔热的地区。有趣的是，当比斯特的整个EPC数据集与比斯特整个城镇的次国家级数据进行比较时，数值仅相差约800千瓦时。另一方面，在家庭层面上，似乎高估了3000到4000千瓦时/年。与次国家级数据相比，EPCs的平均能源数据。
There is an urgent need to improve the energy performance of the built environment, so as to help alleviate fuel poverty, meet national carbon targets, and improve the local economy. This is why local authorities have targets to reduce carbon emissions and fuel poverty and to create long-term, high-quality jobs in their areas. Large-scale energy retrofit schemes can address these objectives but they need to be better targeted, more cost-effective and result in a higher uptake. This chapter investigates how publicly available datasets on housing and energy can be used to plan mass retrofit and provide targeted low carbon measures across a city, in order to address the challenges of having: incomplete data on which homes could benefit from which retrofit measures and the inability to aggregate private sector housing retrofit activities to minimise installation costs. Energy-related assessments are preformed using publicly available national and local data throughout Bicester, Oxfordshire, and presented using a GIS platform. Key datasets include Ordnance Survey (OS) Mastermap, OS Address-point, Energy Performance Certificate data (EPC), and Sub-national energy statistics. The EPC data (6000 properties) and sub-national data for Bicester are used to identify areas with high energy consumption, fuel poverty, and those in need of wall and roof insulation. Interestingly, when the entire EPC dataset for Bicester was compared to the entire town of Bicester’s sub-national figure, the values were only off by ~800 kWh. On the other hand at a house level, there appears to be an overestimate of between 3000 and 4000 kWh/yr. in the mean energy figure for the EPCs, as compared to sub-national data.