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On the utility of occupants' behavioural diversity information for building performance simulation: An exploratory case study

机译:居住者行为多样性信息在建筑性能模拟中的实用性:探索性案例研究

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The present study aims at investigating the potential advantages of integrating inter-occupant diversity information into occupant behaviour models used in building performance simulation. To this end, the authors model the operation of windows by occupants in a monitored open-plan office at aggregate and individual levels. The models use indoor and outdoor temperature as well as the interaction of these variables to estimate the probability of opening and closing windows in the building located in Vienna, Austria. Subsequently, a number of existing and novel metrics serve to compare the predictive performance of the aggregate and individual models. In addition, a calibrated energy model of the office area incorporates the window operation models to evaluate their potential contribution to the reliability of building performance assessments. The results of this exploratory case study suggest that individual window operation models outperform the aggregate model in capturing the peak and variations of window operation across occupants. This resulted in a more reliable thermal comfort assessment in the free-running season. The individual models, however, overestimated peak heating demand, as compared with the benchmark value resulting from the actual window operations in a single year. (C) 2018 Elsevier B.V. All rights reserved.
机译:本研究旨在调查将乘员之间的多样性信息集成到建筑性能模拟中使用的乘员行为模型中的潜在优势。为此,作者在一个受监视的开放式办公室中,从总体和个人的角度对居住者窗户的操作进行建模。这些模型使用室内和室外温度以及这些变量的相互作用来估计位于奥地利维也纳的建筑物中窗户打开和关闭的可能性。随后,许多现有的和新颖的指标用于比较集合模型和单个模型的预测性能。此外,办公室区域的校准能源模型结合了窗户操作模型,以评估其对建筑性能评估可靠性的潜在贡献。该探索性案例研究的结果表明,在捕获跨乘人员的窗户操作的峰值和变化时,单个窗户操作模型优于集合模型。这样就可以在自由行驶季节进行更可靠的热舒适性评估。然而,与单个模型在一年内的实际运行产生的基准值相比,单个模型高估了峰值供暖需求。 (C)2018 Elsevier B.V.保留所有权利。

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