Mathematical Models of Effective Topology of Computer Networks for Electric Power Supply Control on Railway Transport

The paper is devoted to analysis of modern directions of innovation-investment formation of intelligent computer networks that control the fast-moving technological processes of electricity supply. It is based on the conclusion that the problem of increasing the productivity of information exchange between information resources and consumers is dominant. A method for increasing the efficiency of information exchange is proposed as a search for the rational location of a new node and the organization of such a set of its connections among the whole set of nodes of the computer network, which provides a minimum average topological distance. Mathematical models of effective topological organization of connections in computer network of power consumption control at the level of traction substations, electric power distances and the railway in general are proposed.

Incorporation of Geometallurgical Input into Gold Mining System Simulation to Control Cyanide Consumption

The Alhué deposit (Melipilla, Chile) is an example of a hydrothermal Au-Ag-Zn(-Pb) vein system hosted within the volcanic rocks of the Las Chilcas Formation. The dominant ore minerals observed are free electrum and native gold associated with silver sulfosalts, and with magnetite and base metal sulphides, including pyrite +/− sphalerite-galena-chalcopyrite. The alteration assemblage in the veins mainly consists of quartz epidote-chlorite-actinolite with lesser smectite, amphibole, and calcite-kaolinite-garnet. Mineralized veins also contain variable amounts of base metals, some of which (e.g., copper and iron) are considered harmful to the extraction of precious metals. Iron and especially copper minerals are known cyanide consumers; ore type classification schemes that do not consider the detrimental effects of such mineralogy or process elements can ultimately result in metal losses from ore feed restrictions, as well as spikes in cyanide consumption and higher operating costs. Mineralogical and geological variation can nonetheless be managed by applying alternating modes of operation as demonstrated in this paper; the decision to switch between modes is governed by current and forecasted stockpile levels feeding into the process. Simulations based on experiences at the Alhué deposit are provided that demonstrate the importance of standardized operational modes and their potential impact on cyanide consumption control.

Water management for industrial development, energy conservation, and subjective attitudes: a comprehensive risk-oriented model to explore the tolerance of unbalanced allocation problem

In this study, a new concept concerning comprehensive characteristics of water resources utilization as an index for risk modeling within the water allocation management model is proposed to explore the tolerance of unbalanced allocation problem under water–energy nexus. The model is integrated with interval two-stage stochastic programming for reflecting system uncertainties. These uncertainties are associated with the industrial production feature and the decision-making process. With respect to water–energy nexus, energy proposed is mainly focused on the consumption intensity of water purification and transportation from different water sources. The developed model is applied for industrial water resources allocation management in Henan province, China. Multiple scenarios related to disparate energy consumption control and the comprehensive risk levels are simulated to obtain a reasonable trade-off among system profit, comprehensive risk, and energy consumption. The results indicated that the strict comprehensive risk management or energy consumption control measures could cause damage to system benefit owing to decreasing the flexibility of industrial water resources distributions, and the preliminary energy consumption or the comprehensive risk control would be beneficial to moderate the conflict between industrial sectors and water resources, and accelerate industrial structure transformation in the future.

Implementation of Automatic Power Consumption Control in Smart Grid

Transformation to Smart Grid needs proper design of good communication and monitoring infrastructure for the Smart meters as well as understanding the power use pattern of the individual users for providing them uniform power supply as per the individual consumer’s requirement.In the proposed system, the meter monitors and calculates the power and if the consumer exceeds the prescribed load limit it alarms. In case the consumer does not reduce his load meter automatically it cuts off the particular loads in consumer connection. GSM communications network are used to transfer electricity consumed data to the consumer as per programmed in the Arduino kit.

Environmental and Health Co-Benefits of Coal Regulation under the Carbon Neutral Target: A Case Study in Anhui Province, China

Coal regulation has been implemented throughout China. However, the potential benefits of pollution abatement and the co-benefits of residents’ health were rarely assessed. In this study, based on the analysis of historical coal consumption and multiple coal regulation measures in Anhui Province, China, four scenarios (Business as Usual (BU), Structure Optimization (SO), Gross Consumption Control (GC), and Comprehensive Measures (CM)) were constructed to indicate four different paths from 2020 to 2060, which is a vital period for realizing carbon neutrality. The results show that reductions of SO2, PM10, and PM2.5 emissions in the SO scenario are higher than those in the GC scenario, while the reduction of NOx emission is higher in the GC scenario. Compared with the BU scenario, residents’ health benefits from 2020 to 2060 are 8.3, 4.8, and 4.5 billion USD in the CM, GC, and SO scenarios, respectively, indicating that the achievements of coal regulation are significant for health promotion. Therefore, the optimization and implementation of coal regulation in the future is not only essential for the carbon neutrality target, but also a significant method to yield environmental and health co-benefits.

ON TACTICS OF DEVELOPING ARCHITECTURE OF THE GENERALIZED ALGORITHM OF ENERGY-ORIENTED POWER CONSUMPTION CONTROL AT IRON ORE UNDERGROUND MINING COMPANIES

Purpose. The article substantiates and confirms the thesis about the need for energy-oriented power consumption control levels in power complexes: the system of power supply at iron ore underground mining enterprises on the basis of experiment data analysis. Methodology. It is estimated that along with the current positive trend suitable for developing architecture of power consumption control levels when a limited number of energy-intensive enterprises consume about 80 % of the total power produced, their functioning modes in day hours vary. Analysis of varied realtime modes of power consumption in hours indicates absence of enterprises’ control over this process. Results. The suggested methods enable forecasting efficiency of power consumption control in hours in any variant of time-of-day tariff integration. In non-standard and changeable conditions of technological parameters in mining production, on the basis of the results of stochastic optimization analysis, it is proven that even when applying a small number of iterations N = 10, it is possible to improve the initial solution by over 60 % (the initial value of the objective function is I* = 27.7 and the final value on the last iteration is I* = 10.7). There are determined required vectors to specify a connection of the time-of-day tariff of ore mining (Р*) and the corresponding power consumption (Е*) which corresponds to the suboptimal value of the objective function (I*). The obtained results can be applied to developing recommendations for a more efficient planning of an enterprise’s performance. Practical value. The suggested algorithm implemented in power consumption control systems enables receiving a final result with any quality required for the level. If the quality of the obtained results needs improving, the number of iterations is to be increased by two or three orders of magnitude.