{"title":"ANALYSIS OF THE ENERGY CHARACTERISTICS OF THE GRINDING DEPARTMENT OF THE CONCENTRATION FACTORY","authors":"R. Klyuev, I. Bosikov, O. Gavrina, E. Zatsepin","doi":"10.46689/2218-5194-2023-1-1-266-283","DOIUrl":null,"url":null,"abstract":"For processing plants of mining and processing plants, an important and urgent issue is a comprehensive analysis of the energy characteristics of the most energy-intensive equipment. Such an analysis is necessary to identify the potential for energy savings and reduce energy costs per product cost. In the presented work, on the basis of data on the power consumption of a large processing plant, an analysis of the energy characteristics of autogenous grinding mills was carried out. Based on the data on the power consumption of the processing plant departments, statistical estimates were obtained: average (estimation of the mathematical expectation); standard (unbiased estimate of standard deviation). The technological process of grinding separation is given, the regime map of the technological process of the self-grinding body is shown. The utilization factors for active power, the forms of the load schedule, the filling of the load schedule are determined. The dynamics of change in the power value during the hours of the evening maximum of the power system over the decades of the month under study is given...","PeriodicalId":41869,"journal":{"name":"Proceedings of the Tula States University-Sciences of Earth","volume":"1 1","pages":""},"PeriodicalIF":0.1000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Tula States University-Sciences of Earth","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46689/2218-5194-2023-1-1-266-283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
For processing plants of mining and processing plants, an important and urgent issue is a comprehensive analysis of the energy characteristics of the most energy-intensive equipment. Such an analysis is necessary to identify the potential for energy savings and reduce energy costs per product cost. In the presented work, on the basis of data on the power consumption of a large processing plant, an analysis of the energy characteristics of autogenous grinding mills was carried out. Based on the data on the power consumption of the processing plant departments, statistical estimates were obtained: average (estimation of the mathematical expectation); standard (unbiased estimate of standard deviation). The technological process of grinding separation is given, the regime map of the technological process of the self-grinding body is shown. The utilization factors for active power, the forms of the load schedule, the filling of the load schedule are determined. The dynamics of change in the power value during the hours of the evening maximum of the power system over the decades of the month under study is given...