Issue |
E3S Web Conf.
Volume 201, 2020
Ukrainian School of Mining Engineering - 2020
|
|
---|---|---|
Article Number | 01034 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/e3sconf/202020101034 | |
Published online | 23 October 2020 |
Assessment of the energy efficiency potential of mining enterprises
1 Kyiv Electromechanical College, Department of Electric Traction and Energy Supply, 35 Povitroflotskyi Ave., 03037 Kyiv, Ukraine
2 National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Department of Electromechanical Equipment Energy-Intensive Industries, 115/3 Borshchahivska St., 03056 Kyiv, Ukraine
3 National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Department of Economics and Entrepreneurship, 37 Peremohy Ave., 03056 Kyiv, Ukraine
4 Kryvyi Rih Economic Institute of Kyiv National Economic University named after Vadym Hetman, Department of Economics and Entrepreneurship”, 16 Medychna St., 50000 Kryvyi Rih, Ukraine
* Corresponding author: nata520522@gmail.com
The paper studies the problematic issues of assessing the potential and improving the energy efficiency at mining enterprises. The necessity of developing a methodology for determining the unreasonable losses of energy resources and introducing the fast-payback options is substantiated. In order to solve this problem, a systematic approach has been used, which is based on experimental data and accounting the global economic situation. An experimental-mathematical approach is proposed for determining the main components of technologically unreasonable losses of electrical energy resources, such as the modes of transformers and pumps operation, an impact of electrical energy quality on energy consumption. The methodology was approbated at the “Mineral” mining enterprise. The proposed solutions are able to reduce energy consumption by 10% of the total with an average payback period of up to two years.
© The Authors, published by EDP Sciences 2020
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.