权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

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

汽车行业能源效率和可持续性的综合能源建模

基本信息

批准号：
1793895
负责人：
金额：
--
依托单位：
University of Sheffield
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2016
资助国家：
英国
起止时间：
2016 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-1793895
关键词：
Integrated Energy Modelling Efficiency Sustainability

项目摘要

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.

这项研究的总体目标是开发一个软件工具，用于自动处理点云数据，并创建以工业建筑和工厂为重点的建筑能源建模与模拟(BEMS)的有限体积模型(FVM)。该软件工具将要求以适当的格式输入从飞行时间激光扫描仪捕获的点云数据。该工具将生成适当格式的建筑几何文件，可以导入到行业领先的BEMS软件中。该软件将需要识别关键的建筑几何特征，如墙、地板、天花板、窗和门。这样，与传统的BEMS工作流程相比，执行BEMS所需的时间将大大减少。这将通过以下目标来实现：1.为生成BEMS FVM2.定义最佳点云数据分辨率。检测原始建筑结构，例如表示墙、地板和天花板的平面，以进行几何特征定义。识别平面内的特征，如窗、门和洞，以增强BEMS。处理已识别的建筑特征，以形成FVM中建筑的每个房间的单独有限体积。将FVM转换为适用于商业BEMS软件的格式。这项研究的潜在应用是通过快速和自动地创建适用于工程分析的计算机模型，显著减少对正在进行翻新评估的建筑物执行BEMS所需的时间。这个应用程序未来还有更大的发展空间，可以为许多应用程序自动生成竣工计算机辅助设计(CAD)数据，而不仅仅是BEMS。这将通过降低测量成本和最大限度地减少对建筑物居住者和业主的干扰，消除当前BEMS工作流程的阻碍。这项技术可以为越来越多的技术和实践做出贡献，这些技术和实践将有助于英国履行未来的环境承诺。