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The concept of the main dewatering model in a coal mine considering technical, managerial, and economic criteria

Gumiński Adam, Kurek Marek

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

2022

z. 160

227--243

Purpose: The primary purpose of the article is to cross-sectionally present the concept of a model for optimizing the main drainage system in a coal mine. Design/methodology/approach: The stated goal was achieved by using several research methods, including a literature study of existing technical system models and technical system modeling. Finally, the methodology used was based on a layered approach, which was verified by testing in a mine environment. Findings: In the course of the work, it was found that the main drainage system at the Sobieski Coal Mine is very complex. The energy intensity of the main dewatering process was identified as the main problem. The proposed concept of a layered model of the main dewatering system makes it possible to identify the influence of technical, management and economic parameters of the system. Research limitations/implications: The research limitations are due to the complexity of the system, the difficulties arising from the specificity of the mine environment, the lack of the possibility of ongoing diagnostics of the entire infrastructure (e.g. pipeline specification, the ability to measure sediment in water galleries, smooth change of the speed of drive mechanisms, etc.). Practical implications: The results of the research work will be recommendations for engineering and technical staff aimed at reducing the energy intensity of the system. Social implications: the conducted research is part of the current trend of searching for methods to reduce the energy intensity of systems and equipment. Originality/value: The originality of the issue stems from the proposed concept of a layered model of the main drainage system, taking into account technical, organizational and economic parameters. Determining the relationship between the elements of each layer will enable the development of an optimization method to reduce the energy intensity of the system.