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Controller and system design for HVAC with thermal energy storage

机译:带有热能存储的HVAC控制器和系统设计

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Energy consumption by Heating Ventilation and Air Conditioning (HVAC) systems is usually heaviest when electricity prices are at their highest, presenting significant opportunities for the improvement of the underlying control algorithms. The idea being that thermal energy storage can be used to time-shift power consumption away from periods of high power demand to periods of low power cost. In this work, we present a supervisory control scheme, known as Market Responsive Control (MRC), which has the objective of minimizing the expenditure required for the cooling of a given building. The design of this controller is achieved by a fairly simple convex optimization problem. The MRC method is then embedded within an equipment design algorithm. This extended algorithm, known as MRC Embedded Equipment Design (MRC-EED), has the objective of maximizing Net Present Value (NPV) in an effort to size the storage unit and cooling device. Under the economic assumptions of this study, it is concluded that the NPV of installing Thermal Energy Storage (TES) can be significant if electric price variability is sufficiently large.
机译:当电价最高时,采暖通风和空调(HVAC)系统的能耗通常最重,这为改进基础控制算法提供了巨大的机会。这个想法是,热能存储可用于将功耗从高功率需求时段转移到低功耗成本时段。在这项工作中,我们提出了一种称为市场响应控制(MRC)的监督控制方案,其目的是将给定建筑物的制冷所需的支出降至最低。该控制器的设计是通过一个相当简单的凸优化问题来实现的。然后将MRC方法嵌入设备设计算法中。这种扩展算法被称为MRC嵌入式设备设计(MRC-EED),其目标是使净现值(NPV)最大化,从而努力确定存储单元和冷却设备的尺寸。在这项研究的经济假设下,得出的结论是,如果电价波动足够大,则安装热能存储(TES)的NPV可能会很大。

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