Digital Characterisation of the Building Stock

伦敦大学学院能源研究所的建筑库存实验室(BSL)一直在开发一种新的英国建筑库存的3D模型。该模型的目的是评估建筑物的能源使用情况，并研究能源和碳减排措施的潜力。这些技术已经在伦敦和其他几个城市进行了成功的试验。这个‘3DStock’模型是通过汇集大量公开可用的数据集来建立的，以产生一个完整的空间模型，其中包含所有住宅和非住宅建筑的3D表示，以及相关的建筑面积、使用类型和其他属性。3DStock已被用于建筑能源使用的统计分析、可再生能源潜力评估和地区能源系统分析。3DStock的一个版本正在开发中，以创建伦敦建筑库存模型(LBSM)，供大伦敦管理局在大伦敦气候变化缓解规划中使用。来自3DStock的数据被传递到SimStock建模平台，该平台自动生成动态模拟模型，以预测建筑库存的能源和环境性能，并与实际能源表数据进行比较。这些模型的关键方面的进一步开发正在与Bentley Systems联合进行，Bentley Systems是建筑和基础设施设计、施工和运营软件解决方案的全球领先提供商。一个专注于“模拟和优化建筑库存表现”的学生项目已经分配完毕。第二个学生身份可以与第一个学生身份一起工作，并与建筑库存实验室合作。学生身份目标建筑股票的数字模型需要越来越多的细节级别，以生成更准确的表示，并产生更高级别的有效性和实用性的性能预测。这一博士学位将侧重于应用各种技术来处理摄影、激光雷达和其他数据源，以推导出详细的建筑和建成环境特征、材料和组件，以提高当前模型的准确性。

The Building Stock Lab (BSL) at UCL Energy Institute has been developing a new kind of 3D model of the UK building stock. The model's purpose is to assess energy use in buildings, and study the potential for energy and carbon mitigation measures. The techniques have been trialled successfully in London and several other cities.This '3DStock' model is built by bringing together a number of publicly available datasets to produce a full spatial model which contains 3D representations of all domestic and non-domestic buildings with associated floor space, use type and other attributes. 3DStock has been used for statistical analysis of building energy use, assessment of renewable energy potentials and analysis of district energy systems.A version of 3DStock is being developed to create the London Building Stock Model (LBSM) for the Greater London Authority to be used in climate change mitigation planning in Greater London. Data from 3DStock is passed to the SimStock modelling platform which automatically generates dynamic simulation models to predict the energy and environmental performance of the building stock and comparisons are made to actual energy meter data.Further development of key aspects of these models is underway in association with Bentley Systems, the leading global provider of software solutions for the design, construction, and operations of buildings and infrastructure. One studentship, focusing on 'Simulating and Optimising the Performance of the Building Stock', has already been allocated. A second studentship is available to work alongside the first and in collaboration with the Building Stock Lab.Studentship aimsDigital models of the building stock require increasing levels of detail to generate more accurate representations and produce performance predictions with higher levels of validity and utility. This PhD will focus on the application of a variety of techniques to process photography, LiDAR and other data sources to derive detailed building and built environment characteristics, materials and components to improve the veracity of current models.