NDLI: Energy efficient control of a boosting system with multiple variable-speed pumps in parallel

Content Provider	IEEE Xplore Digital Library
Author	Zhenyu Yang Borsting, H.
Copyright Year	2010
Description	Author affiliation: Grundfos A/S, 8850 Bjerringbor, Denmark (Borsting, H.) \|\| Automation & Control Section, Department of Electronic Systems, Aalborg University, Esbjerg Campus, Niels Bohrs Vej 8, 6700, Denmark (Zhenyu Yang)
Abstract	The control objective of a water boosting system equipped with multiple variable-speed pumps in parallel is to minimize the pump system energy consumption by control the number of running pumps and their corresponding speeds in a real-time manner, subject to potential changes of (system head) set-points and operating conditions. After a number of static models for different pump combinations are derived, a number of optimal scheduling algorithms are proposed from a formulated Mixed Integer Non-Linear Program (MINLP) problem. The Branch and Bound method is employed to cope with the considered MINLP problem and the Lagrangian Multipliers method is used to handle the corresponding nonlinear programming within each iteration. In order to cope with potential modeling errors, a feedback control mechanism is introduced into the proposed framework. In case of unknown operating conditions, an identification algorithm is proposed to estimate unknown system coefficients in an online manner. The experimental results show a huge potential to improve the energy efficiency of multi-pump systems using the proposed method and algorithms.
Starting Page	2198
Ending Page	2203
File Size	254446
Page Count	6
File Format	PDF
ISBN	9781424477456
ISSN	07431546
e-ISBN	9781424477463
DOI	10.1109/CDC.2010.5717312
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feedback control Switches Optimal scheduling Real time systems Heuristic algorithms
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Feedback-Based Energy-aware Scheduling Algorithm for Hard Real-time Tasks

Structural properties of optimal scheduling in prioritized Discrete Event Systems with real-time constraints

Energy-efficient tasks scheduling algorithm for dual-core real-time systems

System-level energy-efficient scheduling for hard real-time embedded systems

Feedback control for real-time scheduling

Comparison of Scheduling Algorithms for Efficient Parallel Processing of Red-Time Linear Control Systems

D_EDF: An efficient scheduling algorithm for real-time multiprocessor system

Energy Minimization for Software Real-Time Systems with Uncertain Execution Time

Minimum time feedback control of autonomous underwater vehicles

Energy efficient control of a boosting system with multiple variable-speed pumps in parallel

Similar Documents

Feedback-Based Energy-aware Scheduling Algorithm for Hard Real-time Tasks

Structural properties of optimal scheduling in prioritized Discrete Event Systems with real-time constraints

Energy-efficient tasks scheduling algorithm for dual-core real-time systems

System-level energy-efficient scheduling for hard real-time embedded systems

Feedback control for real-time scheduling

Comparison of Scheduling Algorithms for Efficient Parallel Processing of Red-Time Linear Control Systems

D_EDF: An efficient scheduling algorithm for real-time multiprocessor system

Energy Minimization for Software Real-Time Systems with Uncertain Execution Time

Minimum time feedback control of autonomous underwater vehicles

Energy efficient control of a boosting system with multiple variable-speed pumps in parallel