TY - JOUR
T1 - Optimization of well field operation: case study of søndersø waterworks, Denmark
AU - Hansen, Annette Kirstine
AU - Madsen, Henrik
AU - Bauer-Gottwein, Peter
AU - Rosbjerg, Dan
AU - Falk, Anne Katrine V.
PY - 2013
Y1 - 2013
N2 - An integrated hydrological well field model (WELLNES) that predicts the water level and energy consumption in the production wells of a waterworks is used to optimize the management of a waterworks with the speed of the pumps as decision variables. The two-objective optimization problem of minimizing the risk of contamination from a nearby contaminated site and minimizing the energy consumption of the waterworks is solved by genetic algorithms. In comparison with historical values, significant improvements in both objectives can be obtained. If the existing on/off pumps are changed to new variable-speed pumps, it is possible to save 42% of the specific energy consumption and at the same time improve the risk objective function. The payback period of investing in new variable speed pumps is only 3.1 years, due to the large savings in electricity. The case study illustrates the efficiency and applicability of the developed modeling framework.
AB - An integrated hydrological well field model (WELLNES) that predicts the water level and energy consumption in the production wells of a waterworks is used to optimize the management of a waterworks with the speed of the pumps as decision variables. The two-objective optimization problem of minimizing the risk of contamination from a nearby contaminated site and minimizing the energy consumption of the waterworks is solved by genetic algorithms. In comparison with historical values, significant improvements in both objectives can be obtained. If the existing on/off pumps are changed to new variable-speed pumps, it is possible to save 42% of the specific energy consumption and at the same time improve the risk objective function. The payback period of investing in new variable speed pumps is only 3.1 years, due to the large savings in electricity. The case study illustrates the efficiency and applicability of the developed modeling framework.
U2 - 10.1061/(ASCE)WR.1943-5452.0000219
DO - 10.1061/(ASCE)WR.1943-5452.0000219
M3 - Journal article
SN - 0733-9496
VL - 139
SP - 109
EP - 116
JO - Journal of Water Resources Planning and Management
JF - Journal of Water Resources Planning and Management
IS - 1
ER -