A control method for agricultural greenhouses heating based on computational fluid dynamics and energy prediction model
A control method for agricultural greenhouses heating based on computational fluid dynamics and energy prediction model
复制标题
基于计算流体动力学和能量预测模型的农业温室供暖控制方法
DOI：
10.1016/j.apenergy.2014.12.026
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发表时间：
2015-03-01
期刊：
影响因子：
11.2
通讯作者：
Ai, Qinglin
中科院分区：
文献类型：
--
作者：
Chen, Jiaoliao;Xu, Fang;Ai, Qinglin
由于能源供暖是主要的生产成本之一，因此已经做出了许多努力来降低农业温室的能源消耗。为此，从节能和系统性能的角度出发，提出了一种基于计算流体动力学(CFD)和能量预测模型(EPM)的温室供暖控制方法。基于低雷诺数k-epsilon湍流原理，采用离散纵坐标辐射换热模型和考虑植物感热和潜热交换的植物多孔介质模型，建立了采暖温室的CFD模型。CFD模拟得到了验证，并用于分析温室在不同加热条件下的热工性能和风机盘管回路的优先顺序。根据加热效率和温度均匀性，可以预测每个FCU回路的优先级，以生成控制系统的优先级数据库。建立了基于热平衡的温室能源需求预测模型，用于温室能源需求的在线预测和优化。结合离线CFD模拟FCU回路的优先顺序，开发了基于CFD-EPM的地表水源热泵温室供暖控制系统(SWSHPS)。与传统的多区独立控制(CMIC)方法相比，节能潜力在8.7%~15.1%之间，控制温度偏差在0.1℃~0.6℃之间。这些结果表明，基于CFD-EPM的方法可以提高系统的性能，具有更准确的温度、更快的响应和更低的能耗。(C)2014爱思唯尔有限公司。保留所有权利。
As energy heating is one of the main production costs, many efforts have been made to reduce the energy consumption of agricultural greenhouses. Herein, a novel control method of greenhouse heating using computational fluid dynamics (CFD) and energy prediction model (EPM) is proposed for energy savings and system performance. Based on the low-Reynolds number k-epsilon turbulence principle, a CFD model of heating greenhouse is developed, applying the discrete ordinates model for the radiative heat transfers and porous medium approach for plants considering plants sensible and latent heat exchanges. The CFD simulations have been validated, and used to analyze the greenhouse thermal performance and the priority of fan coil units (FCU) loops under the various heating conditions. According to the heating efficiency and temperature uniformity, the priorities of each FCU loop can be predicted to generate a database with priorities for control system. EPM is built up based on the thermal balance, and used to predict and optimize the energy demand of the greenhouse online. Combined with the priorities of FCU loops from CFD simulations offline, we have developed the CFD-EPM-based heating control system of greenhouse with surface water source heat pumps system (SWSHPS). Compared with conventional multi-zone independent control (CMIC) method, the energy savings potential is between 8.7% and 15.1%, and the control temperature deviation is decreased to between 0.1 degrees C and 0.6 degrees C in the investigated greenhouse. These results show the CFD-EPM-based method can improve system performance with more accurate temperature, more rapid responses and lower energy consumption. (C) 2014 Elsevier Ltd. All rights reserved.