Optimization of well field operation: Case study of søndersø waterworks, denmark

Annette K. Hansen; Henrik Madsen; Peter Bauer-Gottwein; Dan Rosbjerg; Anne Katrine V. Falk

doi:10.1061/(ASCE)WR.1943-5452.0000219

Optimization of well field operation: Case study of søndersø waterworks, denmark

Annette K. Hansen^*, Henrik Madsen, Peter Bauer-Gottwein, Dan Rosbjerg, Anne Katrine V. Falk

^*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

4 Citationer (Scopus)

Abstract

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 twoobjective 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.

Originalsprog	Engelsk
Tidsskrift	Journal of Water Resources Planning and Management
Vol/bind	139
Udgave nummer	1
Sider (fra-til)	109-116
Antal sider	8
ISSN	0733-9496
DOI	https://doi.org/10.1061/(ASCE)WR.1943-5452.0000219
Status	Udgivet - 2013
Udgivet eksternt	Ja

Adgang til dokumentet

10.1061/(ASCE)WR.1943-5452.0000219

Citationsformater

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title = "Optimization of well field operation: Case study of s{\o}nders{\o} waterworks, denmark",

abstract = "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 twoobjective 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.",

keywords = "Genetic algorithms, Groundwater management, Multiobjective, Optimization, Well fields",

author = "Hansen, {Annette K.} and Henrik Madsen and Peter Bauer-Gottwein and Dan Rosbjerg and Falk, {Anne Katrine V.}",

year = "2013",

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T1 - Optimization of well field operation

T2 - Case study of søndersø waterworks, denmark

AU - Hansen, Annette K.

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 twoobjective 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 twoobjective 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.

KW - Genetic algorithms

KW - Groundwater management

KW - Multiobjective

KW - Optimization

KW - Well fields

U2 - 10.1061/(ASCE)WR.1943-5452.0000219

DO - 10.1061/(ASCE)WR.1943-5452.0000219

M3 - Journal article

AN - SCOPUS:84876737586

VL - 139

SP - 109

EP - 116

JO - Journal of Water Resources Planning and Management

JF - Journal of Water Resources Planning and Management

SN - 0733-9496

IS - 1

ER -