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Slow thermally activated building system and fast air handling unit join forces through the use of model based predictive control

机译:缓慢的热激活建筑系统和快速的空气处理单元通过使用基于模型的预测控制共同发挥作用

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摘要

Thermally Activated Building Systems (TABS) have a large potential for energy use reduction in office buildings, because they fit nicely with low-exergy heat and cold production such as geothermal heat pump systems. However, due to the large thermal capacities, control of TABS should be carefully designed in order to avoid low control efficiencies. Moreover, due to the limited thermal power and the low controllability, TABS cannot always react adequately to occurring peaks in office building heat gains. On the contrary, the Air Handling Unit (AHU), which is installed anyway to guarantee indoor air quality, is a fast reacting system, but requires high-exergy heat and cold production and is thus less energy efficient. How should these two systems cooperate? This paper investigates a Model based Predictive Controller (MPC) which controls the TABS as well as the AHU to guarantee thermal comfort at the lowest possible energy cost. Coupled TRNSYS-MATLAB simulations are used to assess the MPC behaviour. This paper demonstrates that MPC is the required link to unite TABS and AHU into one low-energy office building comfort system.
机译:热活化建筑系统(TABS)具有减少办公楼能源使用的巨大潜力,因为它们非常适合低能热和低温生产,例如地热热泵系统。但是,由于大的热容量,应仔细设计TABS的控制,以避免低的控制效率。此外,由于有限的热功率和低可控制性,TABS不能始终对办公楼热量获取中出现的峰值做出充分的反应。相反,为确保室内空气质量而安装的空气处理机组(AHU)是一个快速反应的系统,但是需要高能热和冷能,因此能源效率较低。这两个系统应如何配合?本文研究了一种基于模型的预测控制器(MPC),该控制器控制TABS和AHU以最低的能源成本来保证热舒适性。耦合的TRNSYS-MATLAB仿真用于评估MPC行为。本文证明,MPC是将TABS和AHU组合成一个低能耗办公楼舒适系统的必要链接。

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