研究设计过程对高性能建筑实际能源系统性能的影响

Belgin Terim Cavka, Hasan B. Cavka, M. Salehi
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摘要

项目的设计意图和性能目标有时可能与建筑物的实际使用后性能不匹配。预期和实际建筑性能的不匹配可归因于多种原因。本研究的重点是在设计过程中所做的项目决策的作用,作为不足的原因之一。该研究的目的是通过分析项目可用的IDP(综合设计过程)文档集,揭示最先进的研究大楼的设计决策过程。为了了解能源绩效差距与案例建筑决策过程之间的关系和相关性,我们调查了设计决策对实际绩效的影响。特别强调的是基于假设的决策,而不是为拟议的创新建筑系统测量的实际测试数据。设计的热回收系统依赖于从邻近的研究大楼回收的热量,这对建筑的能源性能差产生了重大影响。我们调查了从协调会议收集的项目数据,彻底分析了项目文件,并量化了建筑的实际能源性能数据。对项目信息的分析显示了基于假设做出的决策的连锁反应,这些决策引发了建筑物整体实际性能的不足。我们的定性分析表明,在运行期间,系统性能差与设计决策有关,这些决策不是基于对邻近建筑中现有系统实际性能的测量。通过收集的文件和数据,分析了邻近建筑的热回收作为一种高度依赖的节能措施(ECM)的性能。邻近建筑的可用热势和相关测试问题的模糊性定义在过程编码的解释性时间表上。结论包括对高性能建筑创新系统集成的设计决策过程的建议,并强调了IDP对复杂建筑的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An investigation of the design process's effect on a high-performance building's actual energy system performance
The design intent and the performance targets of projects may sometimes fail to match a building’s actual post-occupancy performance. The mismatch of intended and actual building performance can be attributed to multifarious reasons. This study focuses on the role of project decisions made during design as one of the reasons of shortfall. The aim of the study is to unveil the design decision-making process of a state-of-the-art research building through the analysis of project’s available set of IDP (Integrated Design Process) documentation. To understand the relationship and correlation between the energy performance gap and the decision-making process of the case building, we investigated the design decisions’ effect on the actual performance. The particular emphasis is on the decisions that were based on assumptions rather than measured actual test data for the proposed innovative building systems. The designed heat recovery system, which was dependent on recovered heat from the neighboring research building, had a significant effect on the building’s poor energy performance. We investigated collected project data from coordination meetings, thoroughly analyzed project documentation, and quantified the building’s actual energy performance data. The analysis of the project information shows the ripple effect of decisions that were made based on assumptions, that triggered shortfalls in the building’s overall actual performance. Our qualitative analysis indicates that the poor system performance during operations was related with the design decisions that were not based on the measurement of the actual performance of the existing systems in the neighboring building. The performance of the heat recovery from the neighboring building as a highly dependent Energy Conservation Measure (ECM) analyzed through collected documents and data. The ambiguity of the available heat potential from the neighboring building and related testing issues defined on an explanatory timeline of process coding. The conclusion includes recommendations for the design decision-making process for innovative system integrations for high-performance buildings, and underlines the importance of IDP for complex buildings.
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