DOI QR코드

DOI QR Code

소독능을 고려한 송수펌프 최적운영기법 개발

Development of the method for optimal water supply pump operation considering disinfection performance

  • 형진석 (서울시립대학교 환경공학과) ;
  • 김기범 (서울시립대학교 환경공학과) ;
  • 서지원 (서울시립대학교 환경공학과) ;
  • 김태현 (서울시립대학교 환경공학과) ;
  • 구자용 (서울시립대학교 환경공학과)
  • 투고 : 2018.09.04
  • 심사 : 2018.10.01
  • 발행 : 2018.10.15

초록

Water supply/intake pumps operation use 70~80% of power costs in water treatment plants. In the water treatment plant, seasonal and hourly differential electricity rates are applied, so proper pump scheduling can yield power cost savings. Accordingly, the purpose of this study was to develop an optimal water supply pump scheduling scheme. An optimal operation method of water supply pumps by using genetic algorithm was developed. Also, a method to minimize power cost for water supply pump operation based on pump performance derived from the thermodynamic pump efficiency measurement method was proposed. Water level constraints to provide sufficient disinfection performance in a clearwell and reservoirs were calibrated. In addition, continuous operation time constraints were calibrated to prevent frequent pump switching. As a result of optimization, savings ratios during 7 days in winter and summer were 4.5% and 5.1%, respectively. In this study, the method for optimal water pump operation was developed to secure disinfection performance in the clearwell and to save power cost. It is expected that it will be used as a more advanced optimal water pump operation method through further studies such as water demand forecasting and efficiency according to pump combination.

키워드

참고문헌

  1. Kang, S.H., Kim, J.K., Hong, S.S. and Yates, Alex. (2000). Evaluation of thermodynamic method for pump performance measurement, The KSFM J. Fluid. Mach., 3(3), 25-30.
  2. Kougias, I.P. and Theodossiou, N.P. (2013). Multiobjective pump scheduling optimization using harmony search algorithm(HSA) and polyphonic HSA, J. Water Resour. Plann. Manage., 27(5), 1249-1261. https://doi.org/10.1007/s11269-012-0236-5
  3. Lansey, K.E. and Awumah, K. (1994). Optimal operations considering pump switches, J. Water Resour. Plann. Manage., 120(1), 17-35. https://doi.org/10.1061/(ASCE)0733-9496(1994)120:1(17)
  4. MOE. (2013). Manual of water treatment standard, NIER (National Institute of Environmental Research), Seoul, 220.
  5. MOE. (2010). Standard for waterworks facilities, KWWA(Korea Water and Wastewater Association), Seoul, 1173.
  6. MOTIE (Ministry of Trade, Industry and Energy). (2015). 2014 Energy Consumption Survey, KEEI (Korea Energy Economics Institute), 542.
  7. Park, H.Y. and Kim, K.Y. (2015). Pump Handbook 2nd edition, Dong myeong publishers, 461.
  8. Pasha, M.F.K., and Lansey, K. (2009). "Optimal pump scheduling by linear programming", Proceedings of World Environmental and Water Resources Congress, 17-21 May, 2009, Kansas, USA, American Society of Civil Engineers.
  9. Puleo, V., Morley, M., Freni, G. and Savic, D. (2014). Multi-stage linear programming optimization for pump scheduling, Procedia Engineering, 70, 1378-1385. https://doi.org/10.1016/j.proeng.2014.02.152
  10. Savic, D.A., Walters G.A., and Schwab, M. (1997). "Multiobjective genetic algorithms for pump scheduling in water supply", Evolutionary Computing Workshop, 7-8 April, Manchester, UK, The Society for the Study of Artificial Inteligence and Simulation of Behaviour.
  11. Van Zyl, J.E., Savic, D.A. and Walters, Godfrey. A. (2004). Operational optimization of water distribution systems using a hybrid genetic algorithm, J. Water Resour. Plann. Manage., 130(2), 160-170. https://doi.org/10.1061/(ASCE)0733-9496(2004)130:2(160)
  12. Wang, J.Y., Chang, T.P. and Chen, J.S. (2009). An enhanced genetic algorithm for bi-objective pump scheduling in water supply, Expert Syst. Appl., 36(7), 10249-10258. https://doi.org/10.1016/j.eswa.2009.01.054
  13. Waterworth, G. and Darbyshire, K. (2001). "Comparison of methods of pump scheduling in water supply systems", The European Simulation and Modelling Conference, 6-9, June, 2001, Prague, Czech Republic, The European Multidisciplinary Society for Modelling and Simulation Technology.