Approximation of system components for pump scheduling optimisation

Ruben Menke; Edo Abraham; Panos Parpas; Ivan Stoianov

doi:10.1016/j.proeng.2015.08.935

Approximation of system components for pump scheduling optimisation

Ruben Menke, Edo Abraham, Panos Parpas, Ivan Stoianov^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › Scientific › peer-review

21 Citations (Scopus)

Abstract

The operation of pump systems in water distribution systems (WDS) is commonly the most expensive task for utilities with up to 70% of the operating cost of a pump system attributed to electricity consumption. Optimisation of pump scheduling could save 10-20% by improving efficiency or shifting consumption to periods with low tariffs. Due to the complexity of the optimal control problem, heuristic methods which cannot guarantee optimality are often applied. To facilitate the use of mathematical optimisation this paper investigates formulations of WDS components. We show that linear approximations outperform non-linear approximations, while maintaining comparable levels of accuracy.

Original language	English
Pages (from-to)	1059-1068
Number of pages	10
Journal	Procedia Engineering
Volume	119
Issue number	1
DOIs	https://doi.org/10.1016/j.proeng.2015.08.935
Publication status	Published - 2015
Externally published	Yes
Event	13th Computer Control for Water Industry Conference - Hugh Aston Building, De Montfort University , Leicester, United Kingdom Duration: 2 Sept 2015 → 4 Sept 2015 Conference number: 13

Keywords

Branch and bound
Optimisation
Pump control

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.proeng.2015.08.935

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title = "Approximation of system components for pump scheduling optimisation",

abstract = "The operation of pump systems in water distribution systems (WDS) is commonly the most expensive task for utilities with up to 70% of the operating cost of a pump system attributed to electricity consumption. Optimisation of pump scheduling could save 10-20% by improving efficiency or shifting consumption to periods with low tariffs. Due to the complexity of the optimal control problem, heuristic methods which cannot guarantee optimality are often applied. To facilitate the use of mathematical optimisation this paper investigates formulations of WDS components. We show that linear approximations outperform non-linear approximations, while maintaining comparable levels of accuracy.",

keywords = "Branch and bound, Optimisation, Pump control",

author = "Ruben Menke and Edo Abraham and Panos Parpas and Ivan Stoianov",

year = "2015",

doi = "10.1016/j.proeng.2015.08.935",

language = "English",

volume = "119",

pages = "1059--1068",

journal = "Procedia Engineering",

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note = "13th Computer Control for Water Industry Conference, CCWI 2015 ; Conference date: 02-09-2015 Through 04-09-2015",

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TY - JOUR

T1 - Approximation of system components for pump scheduling optimisation

AU - Menke, Ruben

AU - Abraham, Edo

AU - Parpas, Panos

AU - Stoianov, Ivan

N1 - Conference code: 13

PY - 2015

Y1 - 2015

N2 - The operation of pump systems in water distribution systems (WDS) is commonly the most expensive task for utilities with up to 70% of the operating cost of a pump system attributed to electricity consumption. Optimisation of pump scheduling could save 10-20% by improving efficiency or shifting consumption to periods with low tariffs. Due to the complexity of the optimal control problem, heuristic methods which cannot guarantee optimality are often applied. To facilitate the use of mathematical optimisation this paper investigates formulations of WDS components. We show that linear approximations outperform non-linear approximations, while maintaining comparable levels of accuracy.

AB - The operation of pump systems in water distribution systems (WDS) is commonly the most expensive task for utilities with up to 70% of the operating cost of a pump system attributed to electricity consumption. Optimisation of pump scheduling could save 10-20% by improving efficiency or shifting consumption to periods with low tariffs. Due to the complexity of the optimal control problem, heuristic methods which cannot guarantee optimality are often applied. To facilitate the use of mathematical optimisation this paper investigates formulations of WDS components. We show that linear approximations outperform non-linear approximations, while maintaining comparable levels of accuracy.

KW - Branch and bound

KW - Optimisation

KW - Pump control

UR - http://www.scopus.com/inward/record.url?scp=84941030173&partnerID=8YFLogxK

U2 - 10.1016/j.proeng.2015.08.935

DO - 10.1016/j.proeng.2015.08.935

M3 - Conference article

AN - SCOPUS:84941030173

SN - 1877-7058

VL - 119

SP - 1059

EP - 1068

JO - Procedia Engineering

JF - Procedia Engineering

IS - 1

T2 - 13th Computer Control for Water Industry Conference

Y2 - 2 September 2015 through 4 September 2015

ER -

Approximation of system components for pump scheduling optimisation

Abstract

Keywords

UN SDGs

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