Geometry Extraction for High Resolution Building Energy Modelling Applications from Point Cloud Data: A Case Study of a Factory Facility
Geometry Extraction for High Resolution Building Energy Modelling Applications from Point Cloud Data: A Case Study of a Factory Facility
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DOI：
10.1016/j.egypro.2017.12.567
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发表时间：
2017-12
期刊：
影响因子：
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通讯作者：
T. Garwood;B. Hughes;Dominic O’Connor;J. Calautit;M. Oates;Thomas Hodgson
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文献类型：
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作者：
T. Garwood;B. Hughes;Dominic O’Connor;J. Calautit;M. Oates;Thomas Hodgson
工业部门占英国最终用途能源的 17%，全球占 54%。因此，模拟和评估工业建筑潜在能源改造方案有很大的空间。由于多年的改造和扩建，应用于工业建筑的建筑能源建模 (BEM) 为减少全球能源需求提供了复杂但重要的机会。大型且复杂的工业建筑使得边界元法的现有几何模型变得困难且耗时。本文提出了一种潜在的解决方案，用于快速捕获和处理工厂的竣工几何形状，以便在 BEM 中使用。从工业设施内部捕获激光扫描以生成点云。对点云处理软件的现有功能进行了评估，以确定将点云自动转换为 BEM 应用程序的构建几何体的潜在开发机会。总之，存在提高现有工业建筑 3D 几何创建速度的范围，以供 BEM 和后续热模拟应用。
The industrial sector accounts for 17% of end-use energy in the UK, and 54% globally. Therefore, there is substantial scope for simulating and assessing potential energy retrofit options for industrial buildings. Building Energy Modelling (BEM) applied to industrial buildings poses a complex but important opportunity for reducing global energy demand, due to years of renovation and expansion. Large and complex industrial buildings make modelling existing geometry for BEM difficult and time consuming. This paper presents a potential solution for quickly capturing and processing as-built geometry of a factory to be utilized in BEM. Laser scans were captured from the interior of an industrial facility to produce a Point Cloud. The existing capabilities of a Point Cloud processing software were assessed to identify the potential development opportunities to automate the conversion of Point Clouds to building geometry for BEM applications. In conclusion, scope exists for increasing the speed of 3D geometry creation of an existing industrial building for application in BEM and subsequent thermal simulation.