Optimization of Air Distribution in Mine Ventilation Networks Based on Genetic Algorithm (A Case Study: Kalariz Coal Mine)

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SHAHABI R.SH.; Laijani H.; ELAHI E.; SADEGHZADEH HALLAJ M.H.

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Paper Information

Journal: TUNNELING & UNDERGROUND SPACE ENGINEERING Year:2019 | Volume:8 | Issue:2 Page(s): 143-166

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Title

Optimization of Air Distribution in Mine Ventilation Networks Based on Genetic Algorithm (A Case Study: Kalariz Coal Mine)

Author(s)

SHAHABI R.SH. | Laijani H. | ELAHI E. | SADEGHZADEH HALLAJ M.H. | Issue Writer Certificate

Keywords

Air DistributionQ1

OptimizationQ1

Ventilation NetworksQ2

Genetic AlgorithmQ1

Minimum Air ConsumptionQ1

EnergyQ1

Kalariz Coal MineQ1

Abstract

In this research, an investigation on the Genetic Algorithm efficiency to determine the optimal Air Distribution in the Ventilation Networks and the optimal fan performance and required pressure drop for the regulator doors is carried out. The objective function of the model is the minimization of Energy consumption. Introduction The optimal Air Distribution in mine Ventilation Networks is the most effective solution to reduce the operation and capital cost of the ventilation system that is achieved by choosing the correct allocation and characteristics of the ventilation fans. Due to the multiplicity and variations of Ventilation Networks parameters, achieving the optimum value is time-consuming. Applying metaheuristic techniques such as Genetic Algorithm (GA) can help to solve this problem and find optimal values of Ventilation Networks. Methodology and Approaches The simulation of Kalariz Coal Mine ventilation network was performed by considering 43 nodes, 61 branches and 22 loops. Then, values of the intersection and fundamental matrices of the loops were determined. After simulation of the current design using Ventsim software, the air flow rate in some branches was identified to be less than the minimum required level of air flow. Therefore, the Optimization of Air Distribution by GA in the Kalariz Coal Mine was conducted in two separate conditions including the current conditions of the network and supplying the minimum standard air flow in all branches of the network. For the network modeling, the semi-controlled flow type II was determined. Then, implementation of mine ventilation constrains and objective function by considering the flow rate and the pressure losdes of the Kirchhoff's laws was performed in MATLAB R2014. software based on the minimization of Energy consumption Moreover, the effect of the GA parameters (mutation rate and crossover rate) along with the population size on the optimal response was investigated. Results and Conclusions The implementation of the model in current condition of the ventilation network of Kalariz Coal Mine indicates a reduction in the Energy consumption from 10054 to 10040 watts. In the second considered condition, the Energy consumption increases to 13696 watts and the required air flow of 32 m3/second is obtained. These values are obtained due to increasing the flow rate of 22 branches while in the first case the minimum required air flow is not observed. Supply of the required air is provided by combining 2 existing VTS11 fans in the mine. The efficiency of the GA technique for the analysis of the optimal fan performance and the amount of pressure drop required for the regulator doors has been investigated. As the values of crossover and mutation rate become larger, the accuracy of the calculation decreases and the time to finding the optimal solution increases.

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APA: Copy

SHAHABI, R.SH., Laijani, H., ELAHI, E., & SADEGHZADEH HALLAJ, M.H.. (2019). Optimization of Air Distribution in Mine Ventilation Networks Based on Genetic Algorithm (A Case Study: Kalariz Coal Mine). TUNNELING & UNDERGROUND SPACE ENGINEERING, 8(2 ), 143-166. SID. https://sid.ir/paper/231625/en

Vancouver: Copy

SHAHABI R.SH., Laijani H., ELAHI E., SADEGHZADEH HALLAJ M.H.. Optimization of Air Distribution in Mine Ventilation Networks Based on Genetic Algorithm (A Case Study: Kalariz Coal Mine). TUNNELING & UNDERGROUND SPACE ENGINEERING[Internet]. 2019;8(2 ):143-166. Available from: https://sid.ir/paper/231625/en

IEEE: Copy

R.SH. SHAHABI, H. Laijani, E. ELAHI, and M.H. SADEGHZADEH HALLAJ, “Optimization of Air Distribution in Mine Ventilation Networks Based on Genetic Algorithm (A Case Study: Kalariz Coal Mine),” TUNNELING & UNDERGROUND SPACE ENGINEERING, vol. 8, no. 2 , pp. 143–166, 2019, [Online]. Available: https://sid.ir/paper/231625/en

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