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A steady-state empirical model for evaluating energy efficient performance of centrifugal water chillers

机译：评估离心式冷水机组节能性能的稳态经验模型

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摘要

A multivariate polynomial empirical model for evaluating the coefficient of performance (COP) of centrifugal chillers was proposed in this work. The model variables are common parameters (i.e. pressures and temperatures) on chilled water side in chiller systems. It is independent of the cooling load or partial load ratio (PLR) required by most of empirical chiller models so that it can provide a new method to evaluate the COP of a chiller without measuring the chilled water flow rate which is anyway difficult to measure directly and accurately in many on-field operating chiller plants. This makes it easy and convenient to use for on-field engineers. On-field measurement and analysis indicate that the accuracy of the proposed model is near to the compared three empirical models quoted from literatures-Gordon-Ng universal (GNU) model, Bi-quadratic regression (BQ) model, and Multivariate polynomial regression (MP) model when internal data is considered. When external data is adopted, the proposed model is obviously superior to the other three models. When internal data is used, values of the coefficient of variation of root-mean-square error (CV) of the novel model for chillers 1-3# are respectively 2.985%, 4.295%, and 2.956% with the corresponding mean relative error (MRE) values varying from 2.14% to 3.41%. While external data is adopted, the CV values of the novel model for chillers 1-3# are respectively 5.13%, 8.84%, and 4.33% with the corresponding MRE values varying from 3.19% to 6.84%. The result is acceptable for engineering applications such as building energy audit, energy conservation management, and operation management of multi parallel centrifugal chillers. (C) 2017 Elsevier B.V. All rights reserved.
机译：在这项工作中，提出了用于评估离心式冷却器性能系数（COP）的多元多项式经验模型。模型变量是冷却器系统中冷却水侧的常用参数（即压力和温度）。它与大多数经验冷却器模型所需的冷却负荷或部分负荷率（PLR）无关，因此它可以提供一种新的方法来评估冷却器的COP，而无需测量难以直接测量的冷却水流量。准确地在许多现场运行的冷水机组中使用。这使得现场工程师可以轻松便捷地使用它。现场测量和分析表明，所提出的模型的准确性已接近文献引用的三个经验模型：Gordon-Ng通用（GNU）模型，双二次回归（BQ）模型和多元多项式回归（MP）。 ）模型（考虑内部数据）。当采用外部数据时，所提出的模型显然优于其他三个模型。当使用内部数据时，新模型的冷水机1-3＃的均方根误差（CV）变异系数分别为2.985％，4.295％和2.956％，并具有相应的平均相对误差（ MRE）值从2.14％到3.41％不等。当采用外部数据时，新型1-3号冷水机模型的CV值分别为5.13％，8.84％和4.33％，相应的MRE值在3.19％至6.84％之间变化。该结果对于工程应用来说是可接受的，例如建筑能耗审核，节能管理以及多并联离心式制冷机的运行管理。 （C）2017 Elsevier B.V.保留所有权利。

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