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Controller and System Design for HVAC with Thermal Energy Storage

机译:HVAC具有热能存储的控制器和系统设计

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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:加热通风和空调(HVAC)系统的能量消耗通常是最高的,当电力价格最高时,呈现出改善潜在控制算法的重要机会。作为热能存储的想法可用于将电力消耗从高功率需求的时期延时到低功率成本。在这项工作中,我们提出了一个称为市场响应控制(MRC)的监督控制方案,其目的是最大限度地减少冷却特定建筑所需的支出。该控制器的设计是通过相当简单的凸优化问题实现的。然后将MRC方法嵌入设备设计算法中。这种扩展算法,称为MRC嵌入式设备设计(MRC-EED),其目的是最大化净现值(NPV)的努力,以尺寸为存储单元和冷却装置。在本研究的经济假设下,结论是,如果电价变异性足够大,则安装热能储存(TES)的NPV可能是显着的。

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