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首页> 外文会议>International Symposium on Automation and Robotics in Construction and Mining >BIM-based interoperable workflow for energy improvement of school buildings over the life cycle
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BIM-based interoperable workflow for energy improvement of school buildings over the life cycle

机译：基于BIM的互操作性工作流程，以便在生命周期中的学校建筑物的能量改进

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Simulation and predictive models to verify the energy performance of new or retrofitted existing buildings strongly need tuning procedures based on energy monitoring in the operational phase, thus to avoid performance gap concerns. The value chain of an uninterrupted information for energy models based on design data (e.g. for new buildings) or on paper documents and additional surveys (e.g. for existing buildings) is crucial to perform a reliable design optioneering process. The present research applies a BIM2BEM approach to provide a public administration with a model for facility management (i.e. BIM) and a model to assess energy improvement and check the choices (i.e. BEM), as a pilot project on school buildings renovation. Schools are frequently out-of-date buildings in harsh need of structural and energy refurbishment and public administrations require consistent economic evaluations considering the payback time of the proposed solutions. Additionally, O&M (Operation & Maintenance) costs should be included in a life cycle evaluation of the buildings. Two schools with different layouts and configuration adopted as case studies to compare energy simulation to actual consumption. The workflow empowers the energy simulation results highlighting the accuracy of energy modelling in different situations and it introduces possible tuning strategies to decrease uncertainty.
机译：仿真和预测模型，以验证新的或改造现有建筑的能量性能强烈需要基于运营阶段的能量监测的调谐程序，从而避免性能差距问题。基于设计数据的能量模型（例如新建筑物）或纸质文件和额外调查（例如，对于现有建筑物）的能量模型的价值链是至关重要的，以执行可靠的设计可选过程。本研究适用于BIM2BEM方法，提供公共管理，以设施管理模型（即BIM）和评估能量改进的模型，并检查选择（即BEM），作为学校建筑物改造的试点项目。学校经常在苛刻的结构和能源翻新的需要时期的建筑物，并且在考虑拟议解决方案的投资回收期需要一致的经济评估。此外，O＆M（操作和维护）成本应包括在建筑物的生命周期评估中。两所学校采用不同的布局和配置作为案例研究，可以将能量模拟与实际消费进行比较。工作流程赋予能量仿真结果突出了不同情况下能源建模的准确性，并介绍了可能的调整策略来减少不确定性。

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