Selection and configuration are widely met tasks in design; this is an example of a web-based selection/configuration tool with embedded optimisation. Pumps inevitably deteriorate over their product lifecycle, in which interaction generally occurs in terms of flow, pressure and electricity consumption. Practical implementations of pump scheduling suggest that a 10% of the annual expenditure on energy costs may be saved. The object is to minimise the energy cost incurred, while selecting the best schedule of legal available pumps. The results illustrate that the recording of pump characteristics over the internet provides an efficient method of pump performance and evaluation.
Table of Contents
1. Abstract
2. Introduction
3. General Description and Methodology
4. Web Technologies
5. Power Conservation
6. Pump Optimisation
7. Summary and Conclusions
8. References
9. Authors Information and Interests
Research Objectives and Themes
The primary objective of this paper is to develop a secure, web-based database system that assists hydraulic engineers in selecting cost-efficient pump combinations. The research addresses the critical need for energy reduction in the water industry by integrating pump modelling, factorial analysis, and linear programming to monitor performance and evaluate scheduling strategies over the Internet.
- Development of a secure web-based selection and configuration tool for hydraulic infrastructure.
- Application of linear programming to minimize energy expenditure in water pumping stations.
- Utilization of factorial analysis to investigate pump interactions and improve system efficiency.
- Implementation of a three-tier client/server architecture for remote performance monitoring.
- Verification of pump performance models against manufacturer specifications to identify deterioration.
Excerpt from the Book
Pump Optimisation
The fundamental aim of optimisation is to minimise or maximise a cost function, which is a measure of the performance of some aspect of the process under consideration (Chen & Coulbeck. 1991). This paper uses the mathematical technique of Linear Programming (LP) to calculate an optimum policy using a sequence of decisions (Bryds & Ulanicki. 1994). There are many optimisation techniques that have been previously implemented such as Dynamic Programming (DP), Genetic Algorithms (GA's), Simulated Annealing (SA) (Darbyshire & Waterworth. 2001). Linear programming has been implemented in this paper due its short computational time taken to find an optimum solution. LP implements a systematic approach to calculate a minimum objective in the terms of linear equations (Levin & Lamone. 1969). The time taken to run the algorithm depends on the required accuracy of the results. For a WPS incorporating five pumps the algorithm takes less than thirty seconds to compute. Figure 9 illustrates the optimised pumping schedule adhering to the system constraints discussed earlier in this paper.
Summary of Chapters
Abstract: Provides a high-level overview of the web-based pump selection tool and the potential for energy cost savings through optimized scheduling.
Introduction: Outlines the problem of energy consumption in the water industry and proposes a web-based database solution for hydraulic engineers.
General Description and Methodology: Describes the physical structure of a high-lift water pumping station and the methods used for data acquisition via micro-controllers.
Web Technologies: Details the integration of HTML, JSP, and SQL within a three-tier client/server architecture to facilitate remote monitoring.
Power Conservation: Discusses the statistical techniques and factorial analysis used to identify pump interactions and optimize operational sequences.
Pump Optimisation: Explains the mathematical application of linear programming to determine cost-efficient pumping schedules under system constraints.
Summary and Conclusions: Summarizes the successful implementation of the knowledge management system and the resulting benefits for pump asset management.
References: Lists the academic and technical sources utilized to support the research findings.
Authors Information and Interests: Provides professional backgrounds and research focus areas for the authors of the study.
Keywords
Pump Performance, Web-Based Database, Embedded Optimisation, Energy Cost Reduction, Linear Programming, Factorial Analysis, Hydraulic Engineering, Pump Scheduling, Three-Tier Architecture, Water Supply System, Remote Telemetry Unit, Pump Asset Management, Matlab Simulation, Efficiency Point, System Modeling
Frequently Asked Questions
What is the fundamental goal of this research?
The goal is to develop a web-based, secure system that enables hydraulic engineers to select the most cost-efficient pump combinations and create optimized schedules to reduce energy consumption.
What are the primary thematic areas of the paper?
The research focuses on water infrastructure management, web-based software architecture, mathematical optimization techniques (specifically linear programming), and factorial analysis of mechanical equipment performance.
What is the primary research question?
The paper explores how modern Internet technologies and mathematical modeling can be combined to effectively monitor, evaluate, and optimize the performance of water pumping stations to achieve cost savings.
Which scientific methods are employed?
The authors utilize pump modeling, factorial analysis for identifying pump interactions, and linear programming to solve the optimization problem of pump scheduling.
What does the main body of the work cover?
It covers the hardware setup (WPS), the software architecture (JSP/SQL/JDBC), the mathematical models used for optimization, and the statistical verification of these models using Matlab.
Which keywords best characterize this work?
Key terms include Pump Performance, Embedded Optimisation, Linear Programming, Factorial Analysis, and Water Supply System Management.
How does the system identify pump deterioration?
The system compares the real-time, live conditions of a monitored pump against the original bench test curves provided by the manufacturer, allowing for the identification of efficiency loss.
Why was Linear Programming (LP) chosen for this application?
Linear Programming was selected because it provides a systematic approach to finding an optimum solution while requiring very short computational time, making it ideal for the five-pump configuration described.
How does the web-based tool support hydraulic engineers?
It allows for remote access to pump data, providing a centralized interface to perform queries, visualize pump characteristics, and generate cost-effective schedules without needing to be physically on-site.
- Arbeit zitieren
- Karl Darbyshire (Autor:in), Geoffrey Waterworth (Autor:in), Prof. David Charles Webb (Autor:in), 2011, A Web-Based Approach to Evaluate and Enhance Pump Performance Using Embedded Optimisation, München, GRIN Verlag, https://www.hausarbeiten.de/document/168187
