research-article

Efficiency optimization of a multi-pump booster system

Authors:

Gerulf K.M. Pedersen,

Zhenyu YangAuthors Info & Claims

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

Pages 1611 - 1618

https://doi.org/10.1145/1389095.1389400

Published: 12 July 2008 Publication History

Get Access

Abstract

This paper discusses a way to optimize the speed settings for a multi-pump system such that it can operate with highest efficiency. A short description of an actual multi-pump system is given and the mathematical formulas for single pump and multi-pump systems are presented. Then a set of objectives are formulated which, when used in a MATLAB toolbox implementation of NSGA-II, describe the most efficient distribution of speeds amongst the pumps in the system. The system is tested for a number of pressure references with good results.

References

[1]

K. Deb, A. Pratap, and S. Moitra. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. Parallel Problem Solving from Nature - PPSN VI, pages 849--858, 2000. NSGA-II code available at KanGAL website: 'http://www.iitk.ac.in/kangal/'.]]

Digital Library

Google Scholar

[2]

Grundfos A/S. Pump handbook. Website, 2007. http://net.grundfos.com/doc/webnet/professional profile/int/documentation.html.]]

Google Scholar

[3]

G. K. M. Pedersen and Z. Yang. Estimation of pump-curves using genetic algorithms. In Genetic and Evolutionary Computation . GECCO-2008, Atlanta, GA, 2008. ACM Press.]]

Digital Library

Google Scholar

[4]

K. Sastry. Single and multiobjective genetic algorithm toolbox for matlab in c++. IlliGAL Report No. 2007017, University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, Urbana, IL, 2007.]]

Google Scholar

Cited By

View all

Müller TLeise PLorenz IAltherr LPelz P(2020)Optimization and validation of pumping system design and operation for water supply in high-rise buildingsOptimization and Engineering10.1007/s11081-020-09553-422:2(643-686)Online publication date: 19-Sep-2020
https://doi.org/10.1007/s11081-020-09553-4
Altherr LLeise PPfetsch MSchmitt A(2019)Resilient layout, design and operation of energy-efficient water distribution networks for high-rise buildings using MINLPOptimization and Engineering10.1007/s11081-019-09423-8Online publication date: 26-Feb-2019
https://doi.org/10.1007/s11081-019-09423-8
Leise PAltherr L(2018)Optimizing the Design and Control of Decentralized Water Supply Systems – A Case-Study of a Hotel BuildingEngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization10.1007/978-3-319-97773-7_107(1241-1252)Online publication date: 14-Sep-2018
https://doi.org/10.1007/978-3-319-97773-7_107
Show More Cited By

Index Terms

Efficiency optimization of a multi-pump booster system
1. Applied computing
  1. Arts and humanities
    1. Architecture (buildings)
      1. Computer-aided design
  2. Physical sciences and engineering
    1. Engineering
      1. Computer-aided design

Recommendations

An interactive evolutionary multi-objective optimization and decision making procedure

With the advent of efficient techniques for multi-objective evolutionary optimization (EMO), real-world search and optimization problems are being increasingly solved for multiple conflicting objectives. During the past decade of research and ...
A comprehensive survey on NSGA-II for multi-objective optimization and applications
Abstract
In the last two decades, the fast and elitist non-dominated sorting genetic algorithm (NSGA-II) has attracted extensive research interests, and it is still one of the hottest research methods to deal with multi-objective optimization problems. ...
Multi-Objective Optimization of Helico-Axial Multiphase Pump Impeller Based on NSGA-II
ICICTA '09: Proceedings of the 2009 Second International Conference on Intelligent Computation Technology and Automation - Volume 03

This paper presented an approach based on non-dominated sorting of genetic algorithm (NSGA-II) for the multi-objective optimization of boost cell of helico-axial multiphase pump impeller. The pressure rise and efficiency were optimized with design ...

Comments

Information & Contributors

Information

Published In

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

July 2008

1814 pages

ISBN:9781605581309

DOI:10.1145/1389095

Conference Chair:
Conor Ryan
University of Limerick, Ireland
,
Editor:
Maarten Keijzer
Chordiant Software International B.V., The Netherlands

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 July 2008

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

GECCO08

Sponsor:

GECCO08: Genetic and Evolutionary Computation Conference

July 12 - 16, 2008

GA, Atlanta, USA

Acceptance Rates

Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

6
Total Citations
View Citations
240
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 08 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Müller TLeise PLorenz IAltherr LPelz P(2020)Optimization and validation of pumping system design and operation for water supply in high-rise buildingsOptimization and Engineering10.1007/s11081-020-09553-422:2(643-686)Online publication date: 19-Sep-2020
https://doi.org/10.1007/s11081-020-09553-4
Altherr LLeise PPfetsch MSchmitt A(2019)Resilient layout, design and operation of energy-efficient water distribution networks for high-rise buildings using MINLPOptimization and Engineering10.1007/s11081-019-09423-8Online publication date: 26-Feb-2019
https://doi.org/10.1007/s11081-019-09423-8
Leise PAltherr L(2018)Optimizing the Design and Control of Decentralized Water Supply Systems – A Case-Study of a Hotel BuildingEngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization10.1007/978-3-319-97773-7_107(1241-1252)Online publication date: 14-Sep-2018
https://doi.org/10.1007/978-3-319-97773-7_107
Jepsen KHansen LMai CYang Z(2016)Challenges of membrane filtration for produced water treatment in offshore oil & gas productionOCEANS 2016 MTS/IEEE Monterey10.1109/OCEANS.2016.7761443(1-8)Online publication date: Sep-2016
https://doi.org/10.1109/OCEANS.2016.7761443
Yang ZBorsting H(2010)Optimal scheduling and control of a multi-pump boosting system2010 IEEE International Conference on Control Applications10.1109/CCA.2010.5611177(2071-2076)Online publication date: Sep-2010
https://doi.org/10.1109/CCA.2010.5611177
Pedersen GYang ZRyan C(2008)Estimation of pump-curves using genetic algorithmsProceedings of the 10th annual conference on Genetic and evolutionary computation10.1145/1389095.1389401(1619-1626)Online publication date: 13-Jul-2008
https://dl.acm.org/doi/10.1145/1389095.1389401

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

An interactive evolutionary multi-objective optimization and decision making procedure

A comprehensive survey on NSGA-II for multi-objective optimization and applications

Multi-Objective Optimization of Helico-Axial Multiphase Pump Impeller Based on NSGA-II

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations