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SMART Building Model Predictive Control of an Aquifer Thermal Energy Storage 含水层储能的智能建筑模型预测控制
荷兰越来越多的办公楼正在使用含水层热能储存(ATES)系统。ATE最佳运行的一个基本条件是系统的热平衡。办公楼通常储存的热量远大于冷量,这会导致整个地下空间缓慢升温,并长期导致制冷能力问题。参考模型基于Kropman Utrecht案例研究大楼构建,包含三个主要模块:ATES、供暖/通风/空调(HVAC)和负荷模拟。对于ATES系统,开发了一种重建注入水温度和体积的方法,因为在案例研究装置中没有测量这些温度和体积。 HVAC和负荷模拟模型基于记录的楼宇管理系统(BMS)数据。BMS数据的使用有一个很大的优势,即模型易于配置,并且可以自动调整以适应建筑中的变化。使用MPC可以在模拟的20年内保持ATE的平衡。对于案例研究构建,可以得出结论,使用开发的参考模型,MPC能够自动保持ATES平衡。由于案例研究的建筑类型和规模与大多数荷兰新办公楼相当,因此预计该方法的大部分都是普遍适用的。引文:2016年年度会议,圣路易斯。 路易斯,莫,会议文件
A rapidly growing amount of office buildings in the Netherlands is using an Aquifer Thermal Energy Storage (ATES) system. An essential condition for optimal ATES operation is the thermal balance of the system. Office buildings typically store much more heat than cold, causing the entire underground slowly to heat up and causing cooling capacity problems on the long term. A reference model is constructed based on the Kropman Utrecht case study building and contains three main blocks: The ATES, Heating/Ventilation/Air-conditioning (HVAC) and load simulation. For the ATES system a method is developed to reconstruct the injected water temperatures and volumes, because these are not measured in the case study installation. The HVAC and load simulation models are based on logged building management system (BMS) data. The use of BMS data has the large advantage that models are easily configured and can automatically adjust to changes in the building. Using MPC it was possible to keep the ATES in balance over a simulated 20 years period. For the case study building it can be concluded that MPC, using the developed reference model, is capable of automatically maintaining the ATES balance. Because the case study building type and size is comparable to the majority of the new Dutch office buildings, it is expected that large parts of the method are universally applicable.
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