Coal Mining Sustainable Development: Economics and Technological Outlook

Zhironkin, Sergey; Cehlár, Michal

doi:10.3390/en14165029

Cited by 11 publications

(10 citation statements)

References 14 publications

(14 reference statements)

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“…The energy sector of industry development needs more mineral resources for energy generation that is, mined out from Earth subsoil. At the same time, the innovative development of mining technologies is also driven by the need for saturation of the long-term demand for raw materials (IlyashovDiedich et al, 2019;Zhironkin and Cehlár, 2021).…”

Section: Introductionmentioning

confidence: 99%

Innovative Activities in the Sphere of Mining Process Management

Bazaluk

Ащеулова

Mamaikin

et al. 2022

Front. Environ. Sci.

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The purpose of this paper is to propose a new methodological approach to complex assessment of coal-mining enterprises basing on the evaluation of technological schemes from the viewpoint of their susceptibility to innovations. To solve the specified problems, a complex method has been used. The method involves geometrical interpretation of a task of determining boundary parameters of technological schemes, application of criteria-based estimations for determining a level of production efficiency, and use of complex index of economic re liability. For the first time, optimality criteria for innovation management in coal industry have been proposed; they take into consideration a level of organization of innovations, organization of innovative production system, and organization of innovative production process. A complex index “internal potential of technological networks” has been developed, being one of the essential parameters for evaluating coal mine conditions. It has been identified that its formation is the result of the influence of certain factors determining the underground mining efficiency and, first of all, the coal mine property—spatial development. According to the represented concept, a policy of optimal control for maintaining the operating mine capacities is based on the evaluation of remained reserves, substantiated planning of a stoping line, and correspondence of extraction equipment to the operating conditions. It is possible to increase the concentration of production by redistributing the remained reserves and integration of mines by mining operations; that makes it possible to concentrate resources within those parts of a mine field where the effect will show its maximum. Modelling of such problems is based on a system of constraints without any requirements for providing the planned mine loading, obligatory in the past. Analysis of the indices of efficiency of coal-mining technological schemes and accounting of the developed factual system of indices have helped elaborate recommendations concerning the use of optimality criteria in the organizational tasks of assessment of the potential of technological scheme of mines. Further application of graphs and network models will allow optimizing the mining production parameters. Consequently, the carried out research has resulted in a new system as for innovation management in a mining complex.

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Section: Introductionmentioning

confidence: 99%

Innovative Activities in the Sphere of Mining Process Management

Bazaluk

Ащеулова

Mamaikin

et al. 2022

Front. Environ. Sci.

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“…On the other hand, in recent years, with the continuous changes in the internal and external environment faced by coal enterprises and the continuous deepening of the reform of large and medium-sized stateowned enterprises, the operating conditions of coal enterprises have fluctuated. On the whole, they are in the process of continuous adaptation and re-adaptation, organization and reorganization, and innovation and re-innovation [8][9][10][11]. Coal resources are nonrenewable resources.…”

Section: Introductionmentioning

confidence: 99%

Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model

Bai

2022

Computational Intelligence and Neuroscience

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As the core of artificial intelligence, machine learning has strong application advantages in multi-criteria intelligent evaluation and decision-making. The level of sustainable development is of great significance to the safety evaluation of coal mining enterprises. BP neural network is a classical algorithm model in machine learning. In this paper, the BP neural network is applied to the sustainable development level decision-making and safety evaluation of coal mining enterprises. Based on the analysis of the evaluation method for sustainable development of coal enterprises, the evaluation index system of sustainable development of coal enterprises is established, and a multi-layer forward neural network model based on error backpropagation algorithm is constructed. Based on the system theory of man, machine, environment, and management, and taking the four single elements and the whole system in a coal mine as the research object, this paper systematically analyzes and studies the evaluation and continuous improvement of coal mine intrinsic safety. The BP neural network evaluation model is used to analyze and study the intrinsic safety of coal mines, the shortcomings of the intrinsic safety construction of coal mines are found, and then improvement measures are put forward to effectively promote the safe production of coal mines and finally realize the intrinsic safety goal of the coal mine.

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“…Mining activity is essential in order to obtain the resources necessary for the large quantity of products consumed by the population [ 1 , 2 ]. This activity produces aggregates for construction materials [ 3 ], energy resources for energy production [ 4 , 5 ] and metallic resources [ 6 ] for countless industrial products. Consequently, the need for its development is essential for maintaining the quality of life of the world’s population.…”

Section: Introductionmentioning

confidence: 99%

Reutilisation of Water Contaminated by Mining Waste for the Encapsulation of Potentially Toxic Elements

et al. 2022

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Mining activities are essential for a population’s development; however, they also produce negative effects such as the production of waste, an impact on flora and water pollution. On the other hand, construction is one of the sectors which is most demanding of raw materials, with one of the main such materials being water. For this reason, this research evaluates the feasibility of incorporating water contaminated by mining waste into ceramic materials for bricks. In this way, the use of water is reduced and, on the other hand, the contaminating elements of the mining water are encapsulated in the ceramic matrix. To achieve this, the clay used and the contaminated water were first analysed, then different families of samples were conformed with different percentages of contaminated water. These samples were tested to determine their physical and mechanical properties. At the same time, leachate tests were carried out to determine that the ceramic material created did not cause environmental problems. The test results showed that the physical and mechanical properties of the ceramics were not influenced by the addition of contaminated water. On the other hand, the leachate tests showed that encapsulation of most of the potentially toxic elements occurred. However, the use of contaminated water as mixing water for ceramics could only be performed up to 60%, as higher percentages would leach impermissible arsenic concentrations. Accordingly, a new way of reusing water contaminated by mining activities is developed in this study, taking advantage of resources, avoiding environmental pollution and creating economic and environmentally friendly end products.

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Coal Mining Sustainable Development: Economics and Technological Outlook

Abstract: The modern paradigm of sustainable development is based on concepts and theories in which the needs of individuals and society, the limits of economic growth and the balance of industrial and natural systems are close to consistency[...]

Cited by 11 publications

References 14 publications

Innovative Activities in the Sphere of Mining Process Management

Innovative Activities in the Sphere of Mining Process Management

Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model

Reutilisation of Water Contaminated by Mining Waste for the Encapsulation of Potentially Toxic Elements

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