Stable water supply to end users is the most important element in water supply systems (WSSs). The portion of energy used by the water distribution system is up to 40% of the total energy consumed by WSSs. To save energy cost for pumping systems, a number of attempts have been made. Especially, an optimization scheme for scheduling the water-pumping operation has attracted the interest of water engineers. In this paper, a binary integer program was applied to optimize pumping schedule of a WSS in Polonnaruwa, Sri Lanka based on the hourly water demands for the next day. The water demands were forecasted by a combined model consisting of an autoregressive integrated moving average (ARIMA) model and an error compensation routine based on exponential smoothing technique. The result showed that the optimization system could reduce the operation cost of the WSS by minimizing electricity for water pumping; electricity cost for pump operation could be reduced by 55%.
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Research Article|
October 15 2014
Optimization of pumping schedule based on water demand forecasting using a combined model of autoregressive integrated moving average and exponential smoothing Available to Purchase
Hyeong-Seok Kang;
Hyeong-Seok Kang
1Hyundai Engineering Co, Ltd, Hyundai BLDG. 75, Yulgok-ro Jongno-gu, Seoul, 110-920 Korea
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Hyunook Kim;
2Department of Energy and Environmental System Engineering, University of Seoul, 163 Siripdaero, Dongdaemun-gu, Seoul, 130-743 Korea
E-mail: [email protected]
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Jaekyeong Lee;
Jaekyeong Lee
2Department of Energy and Environmental System Engineering, University of Seoul, 163 Siripdaero, Dongdaemun-gu, Seoul, 130-743 Korea
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Ingyu Lee;
Ingyu Lee
2Department of Energy and Environmental System Engineering, University of Seoul, 163 Siripdaero, Dongdaemun-gu, Seoul, 130-743 Korea
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Byoung-Youn Kwak;
Byoung-Youn Kwak
2Department of Energy and Environmental System Engineering, University of Seoul, 163 Siripdaero, Dongdaemun-gu, Seoul, 130-743 Korea
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Hyungjoon Im
Hyungjoon Im
2Department of Energy and Environmental System Engineering, University of Seoul, 163 Siripdaero, Dongdaemun-gu, Seoul, 130-743 Korea
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Water Supply (2015) 15 (1): 188–195.
Article history
Received:
July 15 2014
Accepted:
October 06 2014
Citation
Hyeong-Seok Kang, Hyunook Kim, Jaekyeong Lee, Ingyu Lee, Byoung-Youn Kwak, Hyungjoon Im; Optimization of pumping schedule based on water demand forecasting using a combined model of autoregressive integrated moving average and exponential smoothing. Water Supply 1 February 2015; 15 (1): 188–195. doi: https://doi.org/10.2166/ws.2014.104
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