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Performance gap in a multi-storey student accommodation complex built to Passivhaus standard

机译:在Passivhaus Standard构建的多层学生住宿复杂性能差距

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摘要

Although the Passivhaus design is rapidly spreading worldwide, limited studies have examined its actual performance during operation. This study used Australia?s first student accommodation built to the Passivhaus standard as a case study to assess the gaps between design prediction and in situ performance. Passivhaus criteria, supplemented with the adaptive thermal comfort approach, were applied to evaluate the discrepancies between design predictions and measurements. This year-long study discovered significant gaps in three indicators, including primary energy renewable, overheating frequency, and space heating energy demand. The simulation was over-optimistic in the first two indicators but conservative in the last. The discrepancies were mainly caused by the default assumptions and inherent restrictions of the simulation platform. Improvements can be achieved by incorporating more advanced datasets for the estimation of appliance energy use, improving the feedback process from measurements to the simulation tool and developing a more integrated simulation package. The results of this study contribute toward a deeper understanding of the magnitude, causes, and solutions of performance gaps between design and operation stages for large Passivhaus projects.
机译:虽然Passivhaus设计在全球范围内迅速传播,但有限的研究已经在运营期间检查了其实际表现。这项研究使用了澳大利亚的第一个学生的住宿,建立了Passivhaus标准作为案例研究,以评估设计预测与原位性能之间的差距。 Passivhaus标准,补充了自适应热舒适方法,应用于评估设计预测和测量之间的差异。今年长期研究发现了三种指标的显着差距,包括初级能源可再生,过热频率和空间加热能量需求。模拟在前两个指标中过于乐观,但最后是保守的。差异主要是由默认假设和仿真平台的固有限制引起的。通过合并用于估计设备能量使用的更高级数据集可以实现改进,从测量到仿真工具并开发更集成的仿真包,从而改善反馈过程。本研究的结果有助于更深入地了解大型公共项目的设计和操作阶段之间性能间隙的幅度,原因和解决方案。

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