Power measurement in energy efficient manufacturing: Accuracy analysis, Challenges, and Perspectives for improvement

Li, Lei; Huang, Haihong; Zhao, Fu; Gao, Mengdi; Liu, Zhifeng; Sutherland, John W.

doi:10.1016/j.procir.2019.01.059

Cited by 2 publications

(1 citation statement)

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“…Harmonics can have various negative effects on electric equipment, one of which is the additional losses occurrence. The harmonics can be filtered by harmonics filter and calculation of filter parameters based on harmonic spectrum is presented in paper [10]; in paper [11], the harmonics influence on induction motor losses is considered; paper [12] is devoted to assessing the impact of power quality indices on active power losses in the electric network; a description of systems for measuring and recording electric energy quality indicators is given in papers [13,14]; work [15] presents the application of the equivalent method for calculating the harmonics influence on the parameters of the electrical network functioning; paper [16] presents an approach to electrical energy losses calculation in the main elements of the electrotechnical complex.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Harmonics Influence on the Power Consumption of an Electric Submersible Pump Installation

et al. 2022

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Oil production is a complex technological process that requires significant electricity consumption. The main electricity consumers in oil and gas production workshops are artificial lift facilities. Currently, among the objects of mechanized mining, installations of electric submersible pumps are widespread. When planning technological modes, it is necessary to be able to assess the change in the power consumption parameters when changing the technological process parameters. The paper proposes a typical replacement scheme for the electrical complex element. The power consumption calculation of electric submersible pump installations has been carried out. The error in the power consumption modeling results of electric submersible pump installations in comparison with the results of instrumental measurements is no more than 10%. The estimation of additional losses of electric energy caused by the influence of harmonics is carried out. The proposed technique makes it possible to estimate the power consumption of an electric submersible pump installation when changing the parameters of the technological process and equipment. The results of the work can be used for planning material support and optimization of warehouse stocks within the framework of integrated logistics support for the technological process of industrial enterprises.

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Section: Introductionmentioning

confidence: 99%

Assessment of the Harmonics Influence on the Power Consumption of an Electric Submersible Pump Installation

et al. 2022

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Automatic Detection of Manufacturing Equipment Cycles Using Time Series

Seevers

Jurczyk²,

Meschede

et al. 2020

Journal of Computing and Information Science in Engineering

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Manufacturing industry companies are increasingly interested in using less energy in order to enhance competitiveness and reduce environmental impact. To implement technologies and make decisions that lead to less energy demand, energy/power data are required. All too often, however, energy data are either not available, or available but too aggregated to be useful, or in a form that makes information difficult to access. Attention herein is focused on this last point. As a step toward greater energy information transparency and smart energy-monitoring systems, this paper introduces a novel, robust time series-based approach to automatically detect and analyze the electrical power cycles of manufacturing equipment. A new pattern recognition algorithm including a power peak clustering method is applied to a large real-life sensor data set of various machine tools. With the help of synthetic time series, it is shown that the accuracy of the cycle detection of nearly 100% is realistic, depending on the degree of measurement noise and the measurement sampling rate. Moreover, this paper elucidates how statistical load profiling of manufacturing equipment cycles as well as statistical deviation analyses can be of value for automatic sensor and process fault detection.

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Power measurement in energy efficient manufacturing: Accuracy analysis, Challenges, and Perspectives for improvement

Cited by 2 publications

References 20 publications

Assessment of the Harmonics Influence on the Power Consumption of an Electric Submersible Pump Installation

Assessment of the Harmonics Influence on the Power Consumption of an Electric Submersible Pump Installation

Automatic Detection of Manufacturing Equipment Cycles Using Time Series

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