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Primary Chilled Water System Control Optimization Integrated with Secondary System Linearization, Part 2: Field Investigation 一次冷冻水系统控制优化与二次系统线性化相结合 第2部分:现场调查
本文第一部分介绍了一次冷冻水系统和二次系统非线性特性的理论模型和仿真结果。提出了一种综合控制线性化方法,利用系统流动阻力(SFR)优化冷水泵转速控制,同时采用恒增益PI控制,保持稳定的控制性能。新的控制算法将二次系统流动阻力集成到水回路压差重置计划中。对传统控制算法和最优控制算法进行了实现,并在两个完整的系统中进行了比较- 大规模的真实建筑实验。通过现场调查进一步验证了新控制算法的仿真结果和性能改进。与现有技术相比,这种创新的优化算法创建了一个更节能的系统,给出了所需的控制性能,并提高了控制稳定性。线性化算法的优势在于,它可以降低泵压头,提高泵效率,改善螺旋阀控制稳定性,并显著降低控制阀重新定位的频率。 引用:ASHRAE论文CD:2014 ASHRAE冬季会议,纽约
The first part of this paper presents the theoretical model and simulation results for primary chilled water system and secondary system nonlinear characteristics. An integrated control linearization method is developed to use system flow resistance (SFR) for chilled water pump speed control optimization while maintain a stable control performance by applying constant-gain PI controls. The new control algorithm integrates the secondary system flow resistance into water loop differential pressure reset schedules. Both traditional and optimal control algorithm were implemented and compared in two full-scale real building experiments. Field investigation is further conducted to validate the simulation results and performance improvement with the new control algorithm. Compared to the prior art, this innovative optimal algorithm created a system that was more energy efficient, given the desired control performance, and resulted in increased control stability. The linearization algorithm is advantageous in that it results in lower pump head and improves pump efficiency, better coil-valve control stability, and significantly reduces thefrequency of control valve repositioning.
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