Paradox of Alternative Energy Consumption: Lean or Profligacy?

Safina, Eliza; Khokhlov, Sergei

doi:10.18421/ijqr11.04-11

Cited by 5 publications

(5 citation statements)

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“…(3) the methodology of developing classification algorithms for the task of identifying the technical condition of induction motors groups according to the total energy flow gives the best results with the following approach: a classification algorithm for each type or class of motor condition is developed, which is then combined into an ensemble. The best way of ensembling is to calculate the probability of the model falling into a certain state class on the basis of a trained regression model (4) The designed model can be used as an algorithm for producing a synthetic dataset, which is swept into the main dataset. Firstly, this helps to make the data sample balanced, especially in terms of the simulation of short circuits and other defects.…”

Section: Discussionmentioning

confidence: 99%

“…Distortions in the stator current lead to non-sinusoidal current and a decrease in the power factor, as well as being the torque-forming value of the electromagnetic torque M e of an induction motor (4).…”

Section: Methodsmentioning

confidence: 99%

“…Electromechanical systems are widely used for general industrial applications, industrial plants, power generation facilities and mineral resource enterprises [3,4]. The electric motor is a key link in the emergence of robotic production and autonomous factories, as well as in the development of remote areas [5].…”

Section: Introductionmentioning

confidence: 99%

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Identification of the Technical Condition of Induction Motor Groups by the Total Energy Flow

2021

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The paper discusses the method of identifying the technical condition of induction motors by classifying the energy data coming from the main common power bus. The work shows the simulation results of induction motor operation. The correlation between occurring defects and current diagrams is presented. The developed simulation model is demonstrated. The general algorithm for conducting experiments is described. Five different experiments to develop an algorithm for the classification are conducted: determination of the motors number in operation with different power; determination of the motors number in operation with equal power; determination of the mode and load of induction electric motor; determination of the fault and its magnitude with regard to operation and load of induction motor; determination of the fault and its magnitude with regard to operation and load of induction motor with regard to non-linear load in the flow. The article also presents an algorithm for preprocessing data to solve the classification problem. In addition, the classification results are shown and recommendations for testing and using the classification algorithm on a real object are made.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Identification of the Technical Condition of Induction Motor Groups by the Total Energy Flow

2021

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“…The scale of investments in technologies related to renewable energy sources and "energy transition" increased every year during the period 2010-2020 [2], despite the fact that the fundamental environmental and economic efficiency of such investments was often questioned by authors from different countries [5,57,117]. At the same time, the high current price of energy transition technologies and their relatively low economic efficiency are often interpreted as investments in leadership positions in the future carbon-free world energy [118,119].…”

Section: Estimation Of Investments In the Development Of Hydrogen Ene...mentioning

confidence: 99%

Actual Quality Changes in Natural Resource and Gas Grid Use in Prospective Hydrogen Technology Roll-Out in the World and Russia

Radoushinsky,

Gogolinskiy,

Dellal

et al. 2023

Sustainability

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About 95% of current hydrogen production uses technologies involving primary fossil resources. A minor part is synthesized by low-carbon and close-to-zero-carbon-footprint methods using RESs. The significant expansion of low-carbon hydrogen energy is considered to be a part of the “green transition” policies taking over in technologically leading countries. Projects of hydrogen synthesis from natural gas with carbon capture for subsequent export to European and Asian regions poor in natural resources are considered promising by fossil-rich countries. Quality changes in natural resource use and gas grids will include (1) previously developed scientific groundwork and production facilities for hydrogen energy to stimulate the use of existing natural gas grids for hydrogen energy transport projects; (2) existing infrastructure for gas filling stations in China and Russia to allow the expansion of hydrogen-fuel-cell vehicles (HFCVs) using typical “mini-plant” projects of hydrogen synthesis using methane conversion technology; (3) feasibility testing for different hydrogen synthesis plants at medium and large scales using fossil resources (primarily natural gas), water and atomic energy. The results of this study will help focus on the primary tasks for quality changes in natural resource and gas grid use. Investments made and planned in hydrogen energy are assessed.

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“…According to the authors, one of the digital technologies most suitable for pump maintenance tasks is augmented reality technology. By matching real objects with virtual ones, the augmented reality system can become the main support for technicians when making decisions [23,24]. The use of an augmented reality system in equipment maintenance is not a new thing.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Effectiveness of an Augmented Reality and a Dynamic Simulation System Collaboration in Oil Pump Maintenance

2021

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The maintenance of oil pumps is a complex task for any operating organization, and for an industrial enterprise in the oil and gas sector of the economy, this issue has a high degree of urgency. One of the reasons for this is a wide spread of pumping equipment in all areas of oil and gas enterprises. At the same time, an aggressive environment, uneven load, remote facilities, and harsh climatic zones (especially in the areas of the Arctic region or production platforms) are factors that make it relevant to develop special systems that help or simplify the maintenance of pumping equipment. Dynamic modeling is one of the modern technologies which allows for solving the urgent issue of assessing the technical condition of equipment. It is the basis of systems that carry out diagnostics and prognostic calculations and allow for assessing the dynamic state of objects under various conditions of their operation, among other functions. Augmented reality technology is a technology that allows for reducing the time for equipment maintenance by reducing the time for searching and processing various information required in the maintenance process. This paper presents an investigation of the effectiveness of an augmented reality and a dynamic simulation system collaboration in oil pump maintenance. Since there is insufficient research on the joint application of these two technologies, the urgent issue is to prove the effectiveness of such collaboration. For this purpose, this paper provides a description of the system structure, gives a description of the development process of the augmented reality system application and tests the application using Microsoft HoloLens 2.

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Paradox of Alternative Energy Consumption: Lean or Profligacy?

Cited by 5 publications

References 0 publications

Identification of the Technical Condition of Induction Motor Groups by the Total Energy Flow

Identification of the Technical Condition of Induction Motor Groups by the Total Energy Flow

Actual Quality Changes in Natural Resource and Gas Grid Use in Prospective Hydrogen Technology Roll-Out in the World and Russia

Investigation of the Effectiveness of an Augmented Reality and a Dynamic Simulation System Collaboration in Oil Pump Maintenance

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