Naturally ventilated and mixed-mode buildings-Part I: Thermal modeling

被引:42
|
作者
Spindler, Henry C. [2 ]
Norford, Leslie K. [1 ]
机构
[1] MIT, Cambridge, MA 02139 USA
[2] Optimal Energy Solut LLC, Keene, NH USA
关键词
Natural ventilation; Mixed-mode cooling; Thermal models; System identification; ARTIFICIAL NEURAL NETWORKS; FUZZY-REASONING MACHINE; TEMPERATURE; MASS;
D O I
10.1016/j.buildenv.2008.05.019
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Mixed-mode cooling strategies rely on several different means of delivering cooling to the occupied spaces of buildings. These different means, or modes, of cooling include different forms of natural ventilation through operable windows, ventilation assisted by low-power fans, and mechanical air conditioning. Control of mixed-mode cooling systems requires a thermal model tuned to accurately predict the dynamics of a specific building. This paper presents a flexible system-identification framework for linear thermal models that is well suited to accommodate the unique features of mixed-mode buildings. The effectiveness of this framework was demonstrated on a multi-zone, mixed-mode building, with model-prediction accuracy shown to exceed that published for other naturally ventilated or mixed-mode buildings, none of which exhibited the complexity of this building. A companion paper employs the thermal model in an efficient algorithm to optimize control strategies over extended planning horizons. (c) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:736 / 749
页数:14
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