Modeling and demand-based control of responsive building envelope with integrated thermal mass and active thermal insulations
Modeling and demand-based control of responsive building envelope with integrated thermal mass and active thermal insulations
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热质量与主动隔热一体化响应建筑围护结构建模与需求控制
DOI：
10.1016/j.enbuild.2022.112495
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发表时间：
2022-09
影响因子：
6.7
通讯作者：
Yawen He;Hongyu Zhou;F. Fahimi
中科院分区：
文献类型：
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作者：
Yawen He;Hongyu Zhou;F. Fahimi
当前围护结构设计和操作的静态特性与作用于建筑材料的可变和瞬态力和能量截然相反。响应式建筑围护结构（或RBEs）通过自适应提供被动制冷/供暖，显示出巨大的节能潜力。在本研究中，基于需求分析，提出了一种易于实现且灵活的“基于需求的”控制规则，以优化控制集成了主动保温系统（ais）和显热储能（TES）层的rbe。本文开发的控制器计算AIS层所需的热阻，并按需控制进出热质量的热流，以减少交流负荷。与简单的基于温度的控制器相比，它提供了几个优点，同时不需要模型预测控制所需的复杂公式。为了量化热行为和能源性能，为RBEs开发了一个热网络模型，对美国六个代表性城市的住宅热区进行了整个建筑的能源模拟。结果表明，与传统的基于温度的控制相比，基于需求的控制策略具有明显的优势，可以提供更高的节能和LPD降低，特别是在温和气候区和过渡季节。本文还讨论了集成ais和TES的reb的一些设计和实现考虑。
The static nature of current envelope design and operation is diametric to the mutable and transient forces and energies acting on our building stocks. Responsive building envelopes (or RBEs) have shown substantial energy saving potential for buildings by adaptively providing passive cooling/heating. In this research, an easy-to-implement yet flexible ‘demand-based’ control rule is proposed based on demand analysis to optimally control RBEs that integrate active insulation systems (AISs) and a sensible thermal energy storage (TES) layer. The controller developed herein calculates the desired thermal resistance for AIS layers and provides on-demand control of the heat flow into and out of the thermal mass to reduce AC load. It provides several benefits over the simple temperature-based controllers while does not require the complex formulation as needed for model predictive control. To quantify the thermal behavior and energy performance, a thermal network model is developed for RBEs to perform wholebuilding energy simulations of a residential thermal zone in six representative cities in the US. The results show apparent benefits of demand-based control strategy over traditional temperature-based control by offering higher energy savings and LPD reduction, especially in mild climate zones and during transitional seasons. Some design and implementation considerations for REBs with integrated AISs and TES are also discussed.