Analysis of Submersible Pumps Systems to Increase Their Efficiency, Reduce Their Carbon Emission, and Improve Their Ecological Footprint

• Main Authors: Rostás, Sándor, Vancsó, Judit
• Format: Article
• Language: English; English
• Published: INTI International University 2025
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General); TD Environmental technology. Sanitary engineering
• Online Access: http://eprints.intimal.edu.my/2122/1/ij2025_03.pdf; http://eprints.intimal.edu.my/2122/2/663; http://eprints.intimal.edu.my/2122/; https://intijournal.intimal.edu.my

The focus of this study is to present and discuss the results of an investigation in relation to the behavior of comparable submersible pumps under identical environmental circumstances under the influence of constantly changing operating conditions due to external effects. Changing operating conditions have a negative impact on energy efficiency and hydraulic performance, which shortens the longevity of submersible pumps, thereby downgrading both the carbon footprint of the application and the ecological footprint of the product. The aim of this study was to develop a test setup to simulate almost actual operating conditions such as in mining or tunnel construction and to record measurement data (primary data) with a smart control and monitoring system. As the applied methodology primary data (flow rate, flow pressure, power consumption, water level, horizontal and vertical vibration) were recorded over 10 weeks and evaluated by statistical analysis. The main objective of this study is to demonstrate, by means of statistical analysis, that changing operating conditions are closely related to the longevity (wear and tear) and the overall life cycle assessment of the application. A precise analysis of the application and a corresponding technical design based on the present study, in connection with a smart control system, will reduce the carbon footprint, and the ecological footprint will be permanently improved. For suppliers and for end users as well as for society, such intelligent systems which react accordingly to changing conditions are essential for the development of ecological and social sustainability as well as for economic efficiency.