Integrated-Energy Modelling for Energy Efficiency and Sustainability in the Automotive Sector

本研究的总体目标是开发一种软件工具，用于自动处理点云数据，并创建用于建筑能源建模和仿真（BEMS）的有限体积模型（FVM），重点是工业建筑和工厂。该软件工具将需要以合适的格式输入从飞行时间激光扫描仪捕获的点云数据。该工具将以适当的格式生成建筑物几何文件，该文件可以导入行业领先的BEMS软件。该软件将需要识别关键的建筑几何特征，如墙壁，地板，天花板，窗户和门。这样做，与传统的边界环境监测系统工作流程相比，执行边界环境监测系统所需的时间将大大减少。这将通过以下目标实现：1。定义生成BEMS FVM的最佳点云数据分辨率。2.检测基本建筑结构，如表示墙壁，地板和天花板的平面，用于几何特征定义。3.识别平面内的特征，如窗、门和孔，以增强BEMS。处理已识别的建筑物特征，以在FVM中为建筑物的每个房间形成单独的有限体积。将FVM转换成适当的格式，用于商业上可用的BEMS software.The潜在的应用，这项研究是大大减少所需的时间进行BEMS对正在进行改造评估的建筑物，快速，自动创建适合工程分析的计算机模型。这项应用系统将来可进一步发展，为多个应用系统自动生成计算机辅助设计数据，而不单止是楼宇管理系统。此举可减低勘测成本，并尽量减少对楼宇住户和业主造成的干扰，从而消除现行楼宇管理系统工作流程的不利因素。这项技术可以促进不断增长的技术和实践，这将有助于英国履行其未来的环境承诺。

The overarching aim of this research is to develop a software tool for automatically processing Point Cloud data and creating a Finite Volume Model (FVM) for Building Energy Modelling and Simulation (BEMS) with a focus on industrial buildings and factories. The software tool will require inputs of Point Cloud data, in a suitable format, captured from a time-of-flight laser scanner. The tool will produce a building geometry file, in a suitable format, that can be imported into industry leading BEMS software. The software will need to identify key building geometry features such as walls, floors, ceilings, windows and doors. In doing so the timescales required to perform BEMS will be significantly reduced compared with traditional BEMS workflows. This will be achieved with the following objectives;1. Define optimal Point Cloud data resolution for generation of a BEMS FVM.2. Detect primitive building structures, such as planes representing walls, floors and ceilings, for geometrical feature definition.3. Identification of features within planes such as windows, doors and holes to enhance BEMS.4. Process identified building features to form individual finite volumes for each room of a building in a FVM.5. Convert FVM into appropriate format for use in commercially available BEMS software.The potential application of this research is to considerably reduce the time taken to perform BEMS on buildings that are undergoing retrofit assessments by rapidly and automatically creating computer models suitable for engineering analysis. There is further future scope for this application to grow into automatically generating as-built Computer Aided Design (CAD) data for numerous applications, not just BEMS.This will act to remove disincentives of the current BEMS workflow by reducing survey costs and minimising disruption to the building occupants and owners. This technology can contribute to the growing array of technology and practices that will help the UK meet its future environmental commitments.