| Issue |
E3S Web Conf.
Volume 417, 2023
III International Conference on Geotechnology, Mining and Rational Use of Natural Resources (GEOTECH-2023)
|
|
|---|---|---|
| Article Number | 03010 | |
| Number of page(s) | 7 | |
| Section | Energy Saving and Energy Efficiency of Mining Enterprises, Other Industries and Transport Infrastructure | |
| DOI | https://doi.org/10.1051/e3sconf/202341703010 | |
| Published online | 21 August 2023 | |
Choice of energy-saving electric drives in quasi-stationary transport systems
Navoi State University of Mining and Technologies, Department of Automation and Control, Energy-mechanics faculty, Navoi, 210100, Uzbekistan
* Corresponding author: eshmurodov.60@mail.ru
This article presents the structure of a quasi-stationary scheme of conveyor belt transport systems. The ratios of transport losses and characteristics of electrical systems driven by a network and a converter are obtained. The values that affect the losses in the transport system, such as the speed and resistance forces of the conveyor belt and carrier rollers, are determined. Transport losses and characteristics of electrical systems are obtained when powered from the mains and through a converter, inverter operation for active and passive transport systems, network operation with active transport systems, network operation for passive transport systems. Factors are given when choosing energy-saving conveyor drives, a diagram for choosing the most efficient types of drive, taking into account the types of load and intended for various conveyor systems.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.