Efficient optimization of pump scheduling for reduction of energy costs and Greenhouse gas emissions
Tóm tắt: 34
| 
PDF: 23 
##plugins.themes.academic_pro.article.main##
Author
Từ khóa:
Pump scheduling
Greenhouse gas emissions
pump efficiency
Genetic Algorithm
Tóm tắt
Optimal pump scheduling has been applying to decrease operating costs of water distribution systems (WDSs). However, the operations of pumping stations will result in an increase of Greenhouse gas emission (GHG). To reduce GHG, pumping stations should be operated with high efficiency. For this reason, optimal pump cheduling should take into account both energy cost savings and pumping station efficiency. The aim of this article is to suggest an efficient multi-objective optimization solution or minimizing pumping energy cost and maximizing pumping station efficiency. As a result, a trade-off solution compromising pumping energy cost and pumping system efficiency will be achieved. The Genetic Algorithm (GA) combined with a WDS simulator, EPANET will be applied to solve the pump scheduling problem in one benchmark WDS and the results from our solution will be compared to the ones in the literature in terms of pumping energy cost and efficiency.
Tài liệu tham khảo
-
[1] Ormsbee, L. E., Walski, M.T., Chase, V.D., and Sharp, W.W. “Methodology for Improving Pump Operation Efficiency”, J. Water Resour. Plann. Manage, 1989,115 (2), 148-164.
[2] Bunn, S, “Greenhouse gas reduction as an additional benefit of optimal pump scheduling for water utilities”. Proceedings of the Water Environment Federation, 2007, pp.1243–1252.
[3] Bounds, P.L.M., Ulanicka, K., Ulanicki, B., Dacre, B. and Cummings, G. Optimal scheduling of South-Staffordshire water supply system using the FINESSE package. Water Supply Management, Balkema, Rotterdam, The Netherlands, 2003.
[4] Ulanicki, B., Kahler, J., and See, J., “Dynamic Optimization Approach for Solving an Optimal Scheduling Problem in Water Distribution Systems”, J. Water Resour. Plann. Manage., 2007,133(1), 23-32.
[5] Burgschweiger, J., Gnädig, B. Steinbach, M.C., “Optimization models for operative planning in drinking water networks”. Optimization and Engineering, 2009, 10(1), 43-73.
[6] Goldberg, D. E., and J. H. Holland, Genetic algorithms and machine learning, Machine Learning, 1988, 3(2–3), 95–99.
[7] Mäckle, G., Savic, D.A, and Walters, G.A. “Application of Genetic Algorithms to Pump Scheduling for Water Supply”, Genetic Algorithms in Engineering Systems: Innovations and Applications Sheffield, UK,1995, 400-405.
[8] Simpson, R.A., Dandy, G.C., Murphy, L.J. “Genetic Algorithms Compared to Other Techniques for Pipe Optimization”, J. Water Resour. Plann. Manage,1994, 120(4), 423-443.
[9] Van Zyl, J.E, Savic, D.A., and Walters, G.A. “Operational optimization of water distribution systems using a hybrid genetic algorithm”, J. Water Resour. Plann. Manage, 2004,130(2), 160-170.
[10] López-Ibáñez, M., Prasad, T.D., and Paechter, B. “Ant Coloby Optimization for Optimal Control of Pumps in Water Distribution Network”, J. Water Resour. Plann. Manage, 2008, 134 (4), 337-346.
[11] Broad, D.R., Dandy, G.C., and Maier, H.R. “Water Distribution System Optimization Using Metamodels”, J. Water Resour. Plann. Manage, 2005, 131(3), 172-180.
[12] W. Bi, H. R. Maier, and G. C. Dandy, “Impact of Starting Position and Searching Mechanism on the Evolutionary Algorithm Convergence Rate”, Journal of Water Resources Planning & Management, 2016, vol. 142, no. 9.
[13] Wu, P., Lai, Z., Wu, D. and Wang, L., Optimization research of parallel pump system for improving energy efficiency. Journal of Water Resources Planning and Management, 2014, 141(8), p.04014094.
[14] Walsk, T.M., Chase, D.V., Savic, D.A., Grayman, W.M., Beckwith, S., Koelle. E. Advanced Water Distribution Modeling and Management. 1st edition, Haestead Press, Waterbury, CT, USA, 2003.
[15] Rossman, L.A., “EPANET2-User’s Manual”, U.S. Environmental Protection Agency, Cincinnati, Ohio, 2001.
[16] Marchi, A. and Simpson, A.R. Correction of the EPANET inaccuracy in computing the efficiency of variable speed pumps. Journal of Water Resources Planning and Management, 2012, 139(4), pp.456-459.
[17] Deb, K. and Jain, S., Multi-speed gearbox design using multi-objective evolutionary algorithms. Journal of Mechanical design, 2003, 125(3), pp.609-619.
Xem thêm
##plugins.themes.academic_pro.article.sidebar##
Đã Xuất bản
Dec 31, 2019
Download
Cách trích dẫn
Dai Pham Duc, Pham Van Tinh. “Efficient Optimization of Pump Scheduling for Reduction of Energy Costs and Greenhouse Gas Emissions”. Tạp Chí Khoa học Và Công nghệ - Đại học Đà Nẵng, vol 17, số p.h 12.1, Tháng Chạp 2019, tr 5-10, https://jst-ud.vn/jst-ud/article/view/2443.
