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Model-free Control of Building HVAC Systems to Accommodate Solar photovoltaicEnergy

机译:建筑HVAC系统的无模型控制以适应太阳能光伏发电

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With the increasing demand for energy in day-to-day life, the need for integrating renewable energy is growing. In this paper, we take a step in addressing this challenge by employing solar photovoltaic (PV) energy to maintain indoor temperatures in buildings. The objective we aim to meet is to consume as much of the generated PV energy as possible locally while maintaining the indoor comfort temperatures. We set this objective to reduce wastage of renewable energy and cut down the need for storage devices. We formulate a thermal model of the building Heating Ventilation and Air Conditioning (HVAC) system and employ the model-free control (MFC) technique to achieve the defined objective. Simulation results illustrate that the performance of the MFC technique, in terms of indoor temperature and total energy consumption tracking errors, is comparable with that of the recently developed augmented model predictive control technique. In addition, the MFC is computationally light and easily deployable on small embedded devices. Furthermore, we analyze the relationship between the generated PV energy and the required energy consumption of the buildings, and the results show that this relationship is linear, indicating that the developed framework can be directly implemented for a certain number of buildings given an arbitrary PV profile.
机译:随着日常生活中对能源的需求不断增加,对可再生能源进行整合的需求也在增长。在本文中,我们采用太阳能光伏(PV)能量来维持建筑物的室内温度,从而解决了这一挑战。我们旨在实现的目标是在保持室内舒适温度的同时,尽可能多地消耗本地产生的PV能量。我们设定了这个目标,以减少可再生能源的浪费并减少对存储设备的需求。我们制定了建筑物采暖通风和空调(HVAC)系统的热模型,并采用了无模型控制(MFC)技术来实现所定义的目标。仿真结果表明,就室内温度和总能耗跟踪误差而言,MFC技术的性能可与最近开发的增强模型预测控制技术相媲美。此外,MFC轻巧易用,可轻松部署在小型嵌入式设备上。此外,我们分析了产生的PV能量与建筑物所需的能耗之间的关系,结果表明该关系是线性的,这表明在给定任意PV曲线的情况下,可以针对一定数量的建筑物直接实施已开发的框架。

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