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Performance benchmarks for non-domestic buildings: towards user perception benchmarks

机译:非住宅建筑的性能基准:朝着用户感知基准

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While the indoor environment can affect occupants' perceptions of their comfort, health and productivity in buildings, little information exists on what would constitute appropriate benchmarks for these matters. If users' perceptions of building performance are to be addressed and improved, then it is essential to have a reliable, standardized set of benchmarks against which to measure them. A pilot study is presented that tested a range of benchmarking approaches using a small dataset of 30 commercial and institutional buildings. The database included the mean scores from each of the 30 buildings for each indoor environmental quality question in the Building Use Studies (BUS) questionnaire, including those on lighting, comfort, noise and the like. This dataset allowed exploration of the construction of potential benchmarks and the demonstration of systems that could be replicated internationally. It was found to be feasible to establish benchmarks from the questionnaire data received. The variety of forms these benchmarks can take is demonstrated; and the advantages and disadvantages of each are described. For example, absolute benchmarks had the advantage of being able to be assessed without the need for a representative sample, while relative benchmarks gave an assessment of how each variable rated against a larger dataset.
机译:虽然室内环境会影响居住者对建筑物的舒适度,健康度和生产率的看法,但对于构​​成这些问题的适当基准的信息很少。如果要解决和改善用户对建筑性能的看法,那么必须有一套可靠的,标准化的基准来对其进行评估。提出了一项初步研究,该研究使用一个由30个商业和机构建筑物组成的小型数据集测试了一系列基准测试方法。该数据库在建筑物使用研究(BUS)调查表中针对每个室内环境质量问题,包括了30座建筑物中每座建筑物的平均得分,其中包括照明,舒适度,噪音等方面的得分。该数据集允许探索潜在基准的构建,并演示可以在国际上复制的系统。发现从收到的问卷数据中建立基准是可行的。这些基准可以采用多种形式进行演示;描述了每种方法的优缺点。例如,绝对基准的优点是可以在不需要代表性样本的情况下进行评估,而相对基准可以评估每个变量如何针对较大的数据集进行评估。

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