A framework for producing gbXML building geometry from Point Clouds for accurate and efficient Building Energy Modelling
A framework for producing gbXML building geometry from Point Clouds for accurate and efficient Building Energy Modelling
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DOI：
10.1016/j.apenergy.2018.04.046
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发表时间：
2018-08-15
期刊：
影响因子：
11.2
通讯作者：
Hodgson, Thomas
中科院分区：
文献类型：
--
作者：
Garwood, Tom Lloyd;Hughes, Ben Richard;Hodgson, Thomas
工业部门占英国最终使用能源的17%，占全球的54%。因此，有很大的范围来准确地模拟和有效地评估潜在的能源改造方案，为工业建筑，以降低最终使用的能源。由于可能需要多年的设施改造和扩建，应用于工业建筑的建筑能源建模（也称为建筑能源模拟）提出了复杂的挑战;但这是减少全球能源需求的重要机会，特别是考虑到与几年前相比随时可用的计算能力的增加。大型和复杂的工业建筑使建筑能源建模的现有几何模型变得困难和耗时，这影响了合理预算内的分析工作流程和评估选项。这项研究提出了一个潜在的框架，用于快速捕获和处理工厂或其他大型建筑物的建成几何形状，用于建筑能源建模，通过存储在一个绿色建筑可扩展标记语言（gbXML）格式的几何形状，这是与大多数商业上可用的建筑能源建模工具兼容。从工业设施内部捕获激光扫描以产生点云。对点云处理软件的现有功能和以前的研究进行了评估，以确定潜在的发展机会，将点云自动转换为建筑物几何形状，用于建筑能源建模应用。这导致了一个新的识别框架，用于以gbXML格式存储建筑物几何形状，并计划验证未来的点云处理解决方案。这就产生了一个建筑物一部分的样例点云，它被转换为满足gbXML定义模式的验证要求的gbXML模型。总之，有机会提高现有工业建筑的3D几何形状创建的速度，以应用于边界元法和随后的热模拟。
The industrial sector accounts for 17% of end-use energy in the United Kingdom, and 54% globally. Therefore, there is substantial scope to accurately simulate and efficiently assess potential energy retrofit options for industrial buildings to lower end use energy. Due to potentially years of facility renovation and expansion Building Energy Modelling, also called Building Energy Simulation, applied to industrial buildings poses a complex challenge; but it is an important opportunity for reducing global energy demand especially considering the increase of readily available computational power compared with a few years ago. Large and complex industrial buildings make modelling existing geometry for Building Energy Modelling difficult and time consuming which impacts analysis workflow and assessment options available within reasonable budgets. This research presents a potential framework for quickly capturing and processing as-built geometry of a factory, or other large scale buildings, to be utilised in Building Energy Modelling by storing the geometry in a green building eXtensible Mark-up Language (gbXML) format, which is compatible with most commercially available Building Energy Modelling tools. 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 and previous research were assessed to identify the potential development opportunities to automate the conversion of Point Clouds to building geometry for Building Energy Modelling applications. This led to the novel identification of a framework for storing the building geometry in the gbXML format and plans for verification of a future Point Cloud processing solution. This resulted in a sample Point Cloud, of a portion of a building, being converted into a gbXML model that met the validation requirements of the gbXML definition schema. In conclusion, an opportunity exists for increasing the speed of 3D geometry creation of existing industrial buildings for application in BEM and subsequent thermal simulation.