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• W2546568166 abstract "Abstract The underground gas drainage system plays a vital role in the underground drilling drainage which is widely used in Chinese coal mines. However, the pure gas drainage flow, gas concentration and energy efficiency, which together represent the comprehensive performance of gas drainage system, are generally low due to the mismatching between the drainage system and drainage objects. The optimization of gas pipeline system has been extensively investigated, but fewer studies consider the diversity and temporal correlation of drainage object characteristics and the multi-objectives of drainage system. In this paper, a multi-objective optimization model, which fully considers the above factors, is built to achieve the match between the drainage system and drainage objects. Furthermore, the gas flow and methane transport model is established to calculate the values of multi-objectives and constraints. A derivative-free algorithm, bound optimization by quadratic approximation (BOBYQA), is proposed to solve the optimization model. Finally, the optimization model is applied to a typical modern coal mine and verified through the comparisons with field monitoring data and a recognized empirical formula. The optimization results reveal that (1) the variation trends of the three objectives with decision variables are different from each other, which indicates the optimal decision variables should be determined by considering all three objectives; (2) the optimization model can appropriately allocate the negative pressure in view of the interrelationship and different characteristics of drainage objects; (3) the decision variables can be adjusted to fit the characteristics change of drainage objects with time." @default.
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• W2546568166 date "2016-11-01" @default.
• W2546568166 modified "2023-10-16" @default.
• W2546568166 title "A multi-objective optimization model to enhance the comprehensive performance of underground gas drainage system" @default.
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• W2546568166 doi "https://doi.org/10.1016/j.jngse.2016.11.012" @default.
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