TY - GEN

T1 - Partial solution to optimal mine ventilation network design

AU - Barnes, Randal J.

PY - 1988/12/1

Y1 - 1988/12/1

N2 - The nonlinear network optimization algorithm developed in this paper finds the location and size of all fans and regulators which minimize the overall system power consumption while satisfying all physical, legal, and operational constraints. This work includes the formulation of the problem within the framework of mathematical optimization, development of the computational theory, and creation of an efficient solution methodology. The algorithm has been implemented on a microcomputer. The algorithm has four limitations. First, the optimization process is for a single point in time: the dynamic nature of a mine ventilation system in an evolving mine is not directly addressed. Second, the topology of the ventilation network is required input information. The mathematical algorithm does not optimize the size or location of the mine ventilation airways; however, the post optimality analysis techniques can be used to aid in topological decisions. Third, the problem is formulated using volumetric flow; thus, heat and moisture transfer are ignored. Fourth, the capital cost of ventilation equipment is not included in the formulation.

AB - The nonlinear network optimization algorithm developed in this paper finds the location and size of all fans and regulators which minimize the overall system power consumption while satisfying all physical, legal, and operational constraints. This work includes the formulation of the problem within the framework of mathematical optimization, development of the computational theory, and creation of an efficient solution methodology. The algorithm has been implemented on a microcomputer. The algorithm has four limitations. First, the optimization process is for a single point in time: the dynamic nature of a mine ventilation system in an evolving mine is not directly addressed. Second, the topology of the ventilation network is required input information. The mathematical algorithm does not optimize the size or location of the mine ventilation airways; however, the post optimality analysis techniques can be used to aid in topological decisions. Third, the problem is formulated using volumetric flow; thus, heat and moisture transfer are ignored. Fourth, the capital cost of ventilation equipment is not included in the formulation.

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M3 - Conference contribution

AN - SCOPUS:0024169926

SN - 0873350820

T3 - Proc 4th US Mine Vent Symp

SP - 395

EP - 404

BT - Proc 4th US Mine Vent Symp

PB - Publ by SME

T2 - Proceedings of the 4th US Mine Ventilation Symposium

Y2 - 5 June 1989 through 7 June 1989

ER -