Abstract
In order to save operation cost of the behind-levee drainage pumping station, aiming at large amplitude of variation of the outer river water level, we put forward optimization method of outlet height of the pumping station. The construction cost of outlet projects of the pumping station, such as outlet sump, culvert through levee and sluice gate et al., were calculated. The calculation method of operation cost of the pumping station was proposed according to the energy performances of pump system, the combination of inlet and outlet water levels and annual operation hours. The relational model between the construction cost of outlet projects, the operation cost of the pumping station and the position height of the culvert through levee were established. Taking a typical project as an example, under the premise of guaranteeing the engineering safety and drainage requirements, the optimal position height of the culvert through levee was determined with the target of minimum sum value of construction cost of outlet project and operation cost of pumping station in the project lifetime. The results indicate that when the outer river water level and its variation and annual operation hours are certain, the position height of outlet sump and culvert is the main factor which affect construction cost of outlet project and operation cost, and there must be an optimal position height of outlet sump and culvert that can make the total cost minimum. In the example, assuming that lifetime of the pumping station is 25 years and the annual operation hours are 360 h, when the depth from the levee crest to the top of culvert is optimal height 1.75 m, the total cost is minimum; the annual operation cost can be reduced by 8.13% and the total cost can be saved by about 72.6 thousand yuan compared with using outlet open channel.
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References
Mei, C., Shang-gui, Q.: Application of anti-seepage reinforcement techniques in dike-crossing structures. Jilin Water Resour. (12), 30–33 (2003) (in Chinese with English abstract)
Kai, F., Xiao-hong, J., Jian-hua, J.: Application of acceleration genetic algorithm in design of lined canal transversal section. China Rural Water Hydropower 10, 109–110 (2008) (In Chinese with English abstract)
Xiao-li, F., Bao-yun, Q., Xing-li, Y., et al.: Quantitative selection of pump units and adjusting modes for water diversion and drainage tubular pumping station. J. Hydroelectric Eng. 27(4), 12–17 (2012)
Hwang, J.H., Kikumoto, M., Kishida, K., et al.: Dynamic stability of multi-arch culvert tunnel using 3-D FEM. Tunn. Undergr. Space Technol. 21, 3–4 (2006)
Shi-chao, N.: Research on canal cross-section optimization design based on extended differential evolution algorithms. Yangtze River 40(13), 82–86 (2009)
Xiao-ping, S., Shu-wen, L., Zi-feng, H.: Flow capacity calculation of embankment culvert for self and strong discharge pumping stations. Heilongjiang Sci. Technol. Water Conservancy 33(6), 37–38 (2005) (In Chinese with English abstract)
Yun-fei, T., Ke-qin, W., Wei-feng, S., et al.: Research on Optimal Design and Method of Irrigation Channel. China Rural Water Hydropower 4, 58–60 (2012) (In Chinese with English abstract)
Si-fa, X., Hao, Z.: Experiment and evaluation on temperature sensitivities and tensile forces of anti-seepage geomembrane of farmland irrigation canal. Trans. CSAE, 27(4), 7–11 (2011) (In Chinese with English abstract)
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Dong, B. (2021). Study on Outlet Height Optimization of Behind-Levee Drainage Pumping Stations. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1282. Springer, Cham. https://doi.org/10.1007/978-3-030-62743-0_100
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DOI: https://doi.org/10.1007/978-3-030-62743-0_100
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