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A Novel Technique for Refurbished Induction Motors’ Efficiency Estimation Based on No-Load Tests

机译:基于空载测试的翻新感应电动机效率估算的新技术

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Induction motors are the most widely used in the industry. They use two-thirds of the total energy utilized by industry in the industrialized countries, and hence, contribute to the global environmental problem which is represented by the emission of greenhouse gases. Several Canadian and U.S. utilities took serious steps in implementing demand side management programs to reduce both greenhouse gas effects and the cost of power that feeds this tremendous population of electric motors.The precise estimation of efficiency of refurbished motors or any existing motor is crucial in industries for energy savings, auditing and management. Full-load and partial load efficiency can be determined by using the dynamometer procedure which is expensive and available only in well-equipped laboratories. An inexpensive and easily applied procedure for efficiency estimation is of importance in the field. This research presents a proposed method for estimating refurbished induction motors’ full-load efficiency that could be applied successfully in electric motor service centers. The method requires only a DC test (including stator winding cold temperature), nameplate details, and RMS readings of no-load input power, voltage, and current.This research aims to develop an algorithm for induction motor’s efficiency estimation that can be applied easily in any electric motor service center. To do so, the research team decided to make technical visits to a few of those centers in North America to determine the facilities available in such workshops and to design an algorithm that matches those workshops’ technical environment.The proposed efficiency estimation algorithm starts with the DC test to obtain the cold DC resistance of the stator winding. The temperature of the cold stator winding should be measured and recorded as well. The stator winding DC resistance and the corresponding temperature are essential values to be used in the algorithm.The next stage will be reading and recording the nameplate data.Then, the machine should be run with no load coupled to the shaft and the following RMS values of the input voltage, input current, and input power should be read and recorded.The above mentioned values will be fed to a user-friendly software based on a spreadsheet which is designed to handle the necessary calculations and provide values for the estimated efficiency with illustrative graphs. Visual Basic programming was used in designing the software.An important assumption was implemented within the calculation. The assumption is that mechanical rotational losses which are assumed to have the same value during both no-load and the full-load conditions [4]. The assumption is made because there is no way to separate core losses with friction and windage losses as the proposed technique works with only one no-load operating voltage.Stray load loss and full-load temperature are assumed based on IEEE Std. 112™-2004 [5] and IEC 60034-2-1 [6] formulas. Seven induction motors of different power ratings (3-150 hp) were tested for efficiency estimation using the proposed technique. By comparing the estimated efficiencies with the measured values of the seven motors a maximum deviation of 1.679% and minimum deviation of 0.361% were noticed. The problem of having 1.679% deviation from the measured value was investigated and it was found that the two assumed values of stray load loss and full-load temperature have a large impact on the accuracy of the technique.The measured values of the stray load loss and full-load temperature were used instead of the assumed ones and a big difference in the estimated efficiencies accuracy occurred. By using the measured values, the maximum deviation became 0.49% and the minimum deviation was 0.09% for the seven motors under test.Hydro-Québec which is one of the largest power companies in North America offered to contribute to the research by providing an extremely valuable database of a large number of induction machines with power rating range 1-500 hp [7]. Another set of data is received from the Canadian BC Hydro [8]. The data has been implemented in the software. Experimental and field tests of 192 induction motors showed very promising results.The software is under assessment by several power companies in Canada.
机译:感应电动机在行业中使用最广泛。它们消耗了工业化国家工业所使用的总能源的三分之二,因此加剧了以温室气体排放为代表的全球环境问题。加拿大和美国的几家公用事业公司采取了认真的措施来实施需求侧管理计划,以减少温室气体的影响并减少为庞大的电动机供电的电力成本。 翻新电机或任何现有电机的效率的精确估算对于节能,审核和管理行业至关重要。可以使用测功机程序确定满负荷和部分负荷效率,这很昂贵,并且只能在设备完善的实验室中使用。在本领域中,用于效率估计的廉价且容易应用的过程是重要的。这项研究提出了一种估算翻新感应电动机的满载效率的建议方法,该方法可以成功地应用于电动机服务中心。该方法仅需要进行直流测试(包括定子绕组的低温),铭牌详细信息以及空载输入功率,电压和电流的RMS读数。 这项研究旨在开发一种用于感应电动机效率估算的算法,该算法可以轻松地应用于任何电动机服务中心。为此,研究小组决定对北美的一些中心进行技术访问,以确定此类研讨会可用的设施,并设计与这些研讨会的技术环境相匹配的算法。 提出的效率估算算法从直流测试开始,以获得定子绕组的冷直流电阻。还应测量并记录冷定子绕组的温度。定子绕组的直流电阻和相应的温度是算法中要使用的基本值。 下一阶段将是读取和记录铭牌数据。 然后,机器应在无负载连接到轴的情况下运行,并且应读取并记录以下输入电压,输入电流和输入功率的RMS值。 上面提到的值将被馈送到基于电子表格的用户友好软件,该电子表格旨在处理必要的计算并通过示例图提供估算效率的值。在设计软件时使用了Visual Basic编程。 计算中执行了一个重要的假设。假设是在空载和满载条件下均具有相同值的机械旋转损耗[4]。做出该假设是因为由于拟议的技术仅在一个空载工作电压下工作,因此无法将铁心损耗与摩擦损耗和风阻损耗分开。 根据IEEE Std假设杂散负载损耗和满载温度。 112™-2004 [5]和IEC 60034-2-1 [6]公式。使用提出的技术测试了七台不同额定功率(3-150 hp)的感应电动机,以进行效率估算。通过将估计的效率与七个电机的测量值进行比较,发现最大偏差为1.679%,最小偏差为0.361%。研究了与测量值的偏差为1.679%的问题,发现杂散负载损耗和满负载温度这两个假定值对技术的精度有很大影响。 使用杂散负载损耗和满负载温度的测量值代替了假定的值,并且在估计的效率精度上出现了很大的差异。通过使用测量值,被测的七个电机的最大偏差为0.49%,最小偏差为0.09%。 魁北克水电公司是北美最大的电力公司之一,它通过提供大量具有1-500 hp额定功率范围的感应电机的极有价值的数据库,为研究做出了贡献[7]。从加拿大卑诗水电公司[8]收到了另一组数据。数据已在软件中实现。 192台感应电动机的实验和现场测试显示了非常有希望的结果。 该软件正在由加拿大的几家电力公司进行评估。

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