商业建筑负荷转移需求响应的全局温控器调节性能评估

Aditya Keskar, Shunbo Lei, Taylor Webb, Sarah Nagy, I. Hiskens, J. Mathieu, Jeremiah X. Johnson
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引用次数: 7

摘要

有效地利用新的灵活性来源对于缓解可变可再生资源带来的负载平衡挑战至关重要。商业建筑的热惯性使我们能够将其电力消耗按分钟到小时的时间尺度进行调整,以便在保持居住者舒适度的同时向电网提供需求响应(DR)。全球温控器调节(GTA)提供了一种易于使用且可扩展的方法,用于使用商业供暖、通风和空调(HVAC)系统实现负载转移DR,因为它利用了现代建筑自动化系统固有的复杂性。然而,对于GTA在这方面的表现及其对建筑系统和居住者舒适度的影响,人们的理解并不完整。在本文中,我们通过分析密歇根州和北卡罗来纳州八所大学校园建筑的近900个实验结果来探索GTA的性能。使用GTA,我们操纵每个建筑物的恒温器设定点,使建筑物根据其基线改变其能耗。我们量化了暖通空调功率响应的大小,暖通空调子系统的能源使用,以及对乘员舒适度的影响。最后,我们使用优化模型将实验结果与电力系统运行联系起来,该模型在大量电网交互高效建筑中协调GTA行动,以减少电网的高坡道率并减轻可再生能源弃电。总的来说,我们的工作发现,对暖通空调子系统的影响往往是复杂的,并可能导致风扇和终端再热消耗额外的能量。当使用GTA进行负载转移时,必须考虑这些影响。此外,我们还证明,在GTA活动期间,通过室内温度和湿度评估的乘员舒适度可以保持不变。从社会角度来看,我们的建模工作发现,通过使用GTA策略可以整合的额外可再生能源使建筑物消耗的任何额外能源黯然失色。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the performance of global thermostat adjustment in commercial buildings for load shifting demand response
Efficiently leveraging new sources of flexibility is critical to mitigating load balancing challenges posed by variable renewable resources. The thermal inertia of commercial buildings allows us to shift their power consumption on minute to hourly timescales to provide demand response (DR) to the grid while maintaining occupant comfort. Global thermostat adjustment (GTA) provides a readily available and scalable approach for implementing load shifting DR using commercial heating, ventilation, and air conditioning (HVAC) systems, since it leverages the inherent sophistication of modern building automation systems. However, there is an incomplete understanding of GTA’s performance for this purpose and its impact on building systems and occupant comfort. In this paper, we explore the performance of GTA by analyzing results from nearly nine hundred experiments on eight university campus buildings in Michigan and North Carolina. Using GTA, we manipulate each building’s thermostat setpoints causing the building to shift its power consumption with respect to its baseline. We quantify the magnitude of HVAC power response, energy use of HVAC subsystems, and impact on occupant comfort. Finally, we connect our experimental results with power system operation using an optimization model that coordinates GTA actions across a large collection of grid-interactive efficient buildings to reduce high ramp rates on the grid and mitigate renewable energy curtailment. Overall, our work finds that the impacts on HVAC subsystems are often complex, and may result in additional energy being consumed by fans and terminal reheat. These effects must be considered when using GTA for load shifting. Additionally, we demonstrate that occupant comfort, as assessed by indoor temperature and humidity, can be maintained during GTA events. From a societal perspective, our modeling work finds that the additional renewable energy that can be integrated through the use of GTA strategies eclipses any additional energy consumed by buildings.
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