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.
Inhaltsverzeichnis (Table of Contents)
- Abstract
- Introduction
- General Description and Methodology
- Web Technologies
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
This paper presents the development of a web-based database designed to aid hydraulic engineers in selecting cost-effective pump combinations over the internet. The focus is on optimizing pump performance to minimize energy costs and improve system efficiency.
- Development of a secure web-based database for pump selection and optimization
- Integration of pump modeling, factorial analysis, linear programming, and internet technologies
- Minimizing energy costs through optimal pump scheduling
- Improving system efficiency by monitoring and evaluating pump performance
- Utilizing web 2.0 technologies for real-time data access and analysis
Zusammenfassung der Kapitel (Chapter Summaries)
- Abstract: This section provides an overview of the paper, highlighting the development of a web-based selection/configuration tool with embedded optimization for pump performance enhancement. It discusses the importance of pump selection and configuration, the need for efficient pump scheduling, and the benefits of using the internet for monitoring and evaluation.
- Introduction: This chapter introduces the concept of cost management in the water industry and discusses the various methods used to reduce energy costs. It also explores the relevance of optimal scheduling in various engineering applications and outlines the paper's approach to combining different techniques for monitoring pump performance.
- General Description and Methodology: This section provides a detailed description of the water pumping station (WPS) system, including the components, data collection methods, and data transfer processes. It outlines the challenges of optimizing pump combinations and discusses the rationale for implementing cost-effective pump schedules.
- Web Technologies: This chapter explores the use of web technologies, such as HTML, JSP, and SQL, to create a secure web-based server for monitoring pump performance. It discusses the three-tier client/server architecture, the role of Java Database Connectivity (JDBC), and the use of Microsoft Excel and Matlab for pump modeling and analysis.
Schlüsselwörter (Keywords)
This paper focuses on the use of web-based technologies to enhance pump performance. Key concepts include pump optimization, energy cost reduction, system efficiency, web 2.0 technologies, data monitoring, and pump modeling. The work leverages techniques like factorial analysis, linear programming, and pump affinity laws to achieve its objectives. The paper also highlights the importance of using internet-based data collection and analysis for real-time performance evaluation.
- Citation du texte
- Karl Darbyshire (Auteur), Geoffrey Waterworth (Auteur), Prof. David Charles Webb (Auteur), 2011, A Web-Based Approach to Evaluate and Enhance Pump Performance Using Embedded Optimisation, Munich, GRIN Verlag, https://www.grin.com/document/168187
