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通过温度、热通量和能耗数据集,在智慧城市设备中,两层混凝土建筑在可控冬季和热浪情景下的热行为。

Thermal behavior of a two-story concrete building under controlled winter and heat wave scenarios in the sense-city equipment through temperature, flux and energy consumption dataset.

作者信息

Djatouti Zohra, Waeytens Julien, Chamoin Ludovic, Chatellier Patrice

机构信息

Univ. Gustave Eiffel, 14-20 Bd Newton, F-77447 Marne-la-Vallée cedex 2, France.

Université Paris-Saclay, ENS Paris-Saclay, CNRS, LMT, 4 des Sciences, F-91190 Gif-sur-Yvette, France.

出版信息

Data Brief. 2020 Oct 23;33:106458. doi: 10.1016/j.dib.2020.106458. eCollection 2020 Dec.

Abstract

The article describes thermal datasets collected in a two-story concrete building of the Sense-City equipment during various controlled climatic scenarios. Using the Sense-City climatic chamber, we reproduced stationary thermal conditions, a typical winter climate of the south of France and Paris 2003 heat wave. Each of the three scenarios has a duration of about one week. The datasets contain temperature, heat flux and energy consumption sensor outputs. In [1], the stationary conditions data were exploited for an experimental identification of thermal characteristics of the building whereas the winter and the heat wave data were used in a goal-oriented model updating technique. The datasets can also be useful to validate modeling and simulation.

摘要

本文描述了在“感知城市”设备的两层混凝土建筑中,于各种受控气候场景下收集的热数据集。利用“感知城市”气候室,我们再现了稳定热工况、法国南部典型的冬季气候以及2003年巴黎的热浪。这三种场景中的每一种持续时间约为一周。这些数据集包含温度、热通量和能耗传感器的输出。在[1]中,稳定工况数据被用于对建筑热特性进行实验识别,而冬季和热浪数据则用于一种面向目标的模型更新技术。这些数据集对于验证建模和仿真也可能有用。

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