A tool for IFC building energy performance simulation suitability checking

G. Lilis, G. Giannakis, K. Katsigarakis, D. Rovas
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引用次数: 8

Abstract

Data quality of BIM models is a key determinant in the value that can be extracted out of these data. Yet, despite this importance the discussion of data quality is often relegated to an afterthought. One potential use of BIM model data is the generation of building energy performance simulation models. Within this paper a checking procedure is presented, to ensure that user-supplied BIM models meet threshold data quality criteria and are suitable for the generation of input data files for energy analysis. The checking procedure comprises of three sets of checking operations: consistency, correctness and completeness checks. Consistency checks ensure that the input data are schema compatible; data completeness checks invoke the sequential execution of checking rules to verify the existence of required data; data correctness checks perform more elaborate detection of geometric errors appearing in surfaces, space volumes and clashes between architectural elements, which affect the building energy performance simulation model generation process. The checking procedure has been implemented and tested in two case-study buildings. Although the BIM modelers had been provided with modeling guidelines, multiple inaccuracies and data insufficiencies were still present, highlighting the importance of a posteriori process implementation that checks the validity of the model in relation to the purpose of its use.
IFC建筑能源性能模拟适用性检查工具
BIM模型的数据质量是可以从这些数据中提取价值的关键决定因素。然而,尽管数据质量很重要,但对数据质量的讨论往往是事后才想到的。BIM模型数据的一个潜在用途是生成建筑能源性能模拟模型。本文提出了一个检查程序,以确保用户提供的BIM模型符合阈值数据质量标准,并适合生成用于能源分析的输入数据文件。检查过程包括三组检查操作:一致性、正确性和完整性检查。一致性检查确保输入数据是模式兼容的;数据完整性检查调用检查规则的顺序执行来验证所需数据的存在;数据正确性检查对表面、空间体积和建筑元素之间的冲突中出现的几何误差进行更精细的检测,这些误差会影响建筑能源性能仿真模型的生成过程。检查程序已在两座个案研究大楼实施和测试。尽管BIM建模师已经提供了建模指南,但仍然存在多种不准确和数据不足,突出了后验过程实施的重要性,即检查模型与其使用目的的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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