A Review of Primary Mine Ventilation System Optimization

Published Online:https://doi.org/10.1287/inte.2014.0736

References

  • Acuña E, Hall S, Lowndes I (2010a) Free and semi controlled splitting network optimisation using GAs to justify the use of regulators. Castro R, Emery X, Kuyvenhoven R, eds. Proc. IV Internat. Conf. Mining Innovation (Gecamin, Santiago, Chile), 79–87.Google Scholar
  • Acuña E, Maynard R, Hall S, Hardcastle SG, Li G, Lowndes IS, Tonnos A (2010b) Practical mine ventilation optimization based on genetic algorithms for free splitting networks. Proc. 13th Mine Ventilation Sympos. (Society for Mining, Metallurgy & Exploration, Englewood, CO), 379–385.Google Scholar
  • Barnes RJ (1989) A partial solution to optimal mine ventilation network design. Proc. 4th U.S. Mine Ventilation Sympos. (Society for Mining, Metallurgy & Exploration, Englewood, CO), 395–404.Google Scholar
  • Bazaraa MS, Shetty CM (1979) Nonlinear Programming: Theory and Algorithms (John Wiley & Sons, New York).Google Scholar
  • Beale EML, Forrest JJH (1976) Global optimization using special ordered sets. Math. Programming 10(1):52–69.CrossrefGoogle Scholar
  • Bertsekas D (2003) Nonlinear Programming (Athena Scientific, Belmont, MA).Google Scholar
  • Calizaya F, McPherson MJ, Mousset-Jones P (1987) An algorithm for selecting the optimum combination of main and booster fans in underground mines. Proc. 3rd U.S. Mine Ventilation Sympos. (Society for Mining, Metallurgy & Exploration, Englewood, CO), 408–417.Google Scholar
  • Cross H (1936) Analysis of flow in networks of conduits or conductors. Univ. Illinois Bull. 286:1–32.Google Scholar
  • Hardcastle SG (1995) 3D-canvent: An interactive mine ventilation simulator. Proc. 7th U.S. Mine Ventilation Sympos. (Society for Mining, Metallurgy & Exploration, Englewood, CO), 467–472.Google Scholar
  • Huang C, Wang YJ (1993) Mine ventilation network optimization using the generalized reduced gradient method. Proc. 6th U.S. Mine Ventilation Sympos. (Society for Mining, Metallurgy & Exploration, Englewood, CO), 153–161.Google Scholar
  • Jacques EJ (1991) A solution to the optimal setting of air flow-control devices in a ventilation network. Proc. 5th US Mine Ventilation Sympos. (Society for Mining, Metallurgy & Exploration, Englewood, CO), 411–415.Google Scholar
  • Kumar GV, Sastry VR, Krishna Rao GV (1995) Minimizing power consumption in multiple fan networks by optimum fan selection. Proc. 7th U.S. Mine Ventilation Sympos. (Society for Mining, Metallurgy & Exploration, Englewood, CO), 491–497.Google Scholar
  • Lowndes IS, Tuck MA (1996) Review of mine ventilation system optimization. Trans. Institution Mining Metallurgy, Section A 105(2):A114–A126.Google Scholar
  • Lowndes IS, Yang ZY (2004) The application of GA optimisation method to the design of practical ventilation systems for multi-level metal mine operations. Mining Tech. 113(1):43–58.CrossrefGoogle Scholar
  • Lowndes IS, Fogarty T, Yang ZY (2005) The application of genetic algorithms to optimize the performance of a mine ventilation network: The influence of coding method and population size. Soft Comput. 9(7):493–506.CrossrefGoogle Scholar
  • Lowndes IS, Dandy GC, Marshall TS, Schmidt TB, Simpson NG, Raynor GP (2010) Optimization of mine ventilation networks using genetic algorithms and artificial neural networks. Hardcastle SG, McKinnon DL, eds. Proc. 13th U.S./North Amer. Mine Ventilation Sympos. (Society for Mining, Metallurgy & Exploration, Englewood, CO), 441–447.Google Scholar
  • Luenberger DG, Ye Y (2008) Linear and Nonlinear Programming (Springer, New York).CrossrefGoogle Scholar
  • Marx W, Belle BK (2002) Simulating airflow conditions in a South African coal mine, using the VUMA-network simulation software. Accessed October 1, 2013, http://www.vuma.co.za/pdf/VumaC.pdf.Google Scholar
  • McPherson MJ (1993) Subsurface Ventilation and Environmental Engineering (Chapman & Hall, London).CrossrefGoogle Scholar
  • Moll ATJ, Lowndes IS (1992) The application of graph theory to mine ventilation networks. Bull. Inst. Math. Appl. 28(6–8):103–106.Google Scholar
  • Wallace KG Jr (2001) General operational characteristics and industry practices of mine ventilation systems. Accessed October 1, 2013, http://www.mvsengineering.com/files/Publications/07th_INT-1.pdf.Google Scholar
  • Wang YJ (1989) A procedure for solving a more generalized system of mine ventilation network equations. Proc. 4th U.S. Mine Ventilation Sympos. (Society for Mining, Metallurgy & Exploration, Englewood, CO), 419–424.Google Scholar
  • Wang YJ (1999) Minimizing air power in a ventilation network using regulators in nonfixed branches. J. Mine Ventilation Soc. 52(2):39–43.Google Scholar
  • Widzyk-Capehart E, Watson B (2001) Agnew gold mine expansion, mine ventilation expansion evaluation using Ventsim. Accessed October 1, 2013, http://www.ventsim.com/files/Agnew%20Gold%20Mine%20Expansion.pdf.Google Scholar
  • Wu X, Topuz E (1989) Comparison of methods for determination of booster fan locations in underground mines. Proc. 4th U.S. Mine Ventilation Sympos. (Society for Mining, Metallurgy & Exploration, Englewood, CO), 355–362.Google Scholar
  • Wu XS, Topuz E (1998) Analysis of mine ventilation systems using operations research methods. Internat. Trans. Oper. Res. 5(4):245–254.CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.