Simulation, implementation and monitoring of heat pump load shifting using a predictive controller
Simulation, implementation and monitoring of heat pump load shifting using a predictive controller
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DOI：
10.1016/j.enconman.2017.04.093
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发表时间：
2017-10-15
影响因子：
10.4
通讯作者：
Stephen, Bruce
中科院分区：
文献类型：
--
作者：
Allison, John;Cowie, Andrew;Stephen, Bruce
预测负荷转移控制器已被开发和部署在一个低碳的房子附近的格拉斯哥，英国。这所房子设有一个地板下供暖系统，由空气源热泵供电。根据预测的空气温度和太阳辐射水平，控制器首先预测第二天的供暖需求，以实现热舒适性;其次，它在非高峰期运行热泵，通过预充地板供暖来提供所需的热量。在其安装在建筑物中之前，使用校准的建筑物仿真模型来识别控制器的操作特性。在2015年的四周内，对房屋中控制器的性能进行了监测。监测数据表明，预测控制器的实际热性能优于使用模拟预测，具有更好的热舒适水平实现。在07：00至22：00之间，室内空气温度在18摄氏度至23摄氏度之间的时间约为87%。然而，负荷转移控制下的热泵性能极差，热量主要由机组的辅助浸没式盘管输送。本文最后提出了一个改进的控制器版本，该版本应能提高一天前的能量预测，并为未来的现场试验提供更大的热泵运行灵活性。(C)2017作者爱思唯尔有限公司出版
A predictive load shifting controller has been developed and deployed in a low-carbon house near Glasgow, UK. The house features an under floor heating system, fed by an air-source heat pump. Based on forecast air temperatures and solar radiation levels, the controller firstly predicts the following day's heating requirements to achieve thermal comfort; secondly, it runs the heat pump during off peak periods to deliver the required heat by pre-charging the under floor heating. Prior to its installation in the building, the controller's operating characteristics were identified using a calibrated building simulation model. The performance of the controller in the house was monitored over four weeks in 2015. The monitored data indicated that the actual thermal performance of the predictive controller was better than that projected using simulation, with better levels of thermal comfort achieved. Indoor air temperatures were between 18 degrees C and 23 degrees C for around 87% of the time between 07:00 and 22:00. However, the performance of the heat pump under load shift control was extremely poor, with the heat being delivered primarily by the unit's auxiliary immersion coil. The paper concludes with a refined version of the controller, that should improve the day-ahead energy predictions and offer greater flexibility in heat pump operation for future field trials. (C) 2017 The Authors. Published by Elsevier Ltd.