Variable-speed-drive-based monitoring and diagnostic methods for pump, compressor, and fan systems
Pöyhönen, Santeri (2021-02-05)
Väitöskirja
05.02.2021
Lappeenranta-Lahti University of Technology LUT
Acta Universitatis Lappeenrantaensis
School of Energy Systems
School of Energy Systems, Sähkötekniikka
Kaikki oikeudet pidätetään.
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In reference to IEEE copyrighted material which is used with permission in this thesis, the IEEE does not endorse any of Lappeenranta-Lahti University of Technology LUT's products or services. Internal or personal use of this material is permitted. If interested in reprinting/republishing IEEE copyrighted material for advertising or promotional purposes or for creating new collective works for resale or redistribution, please go to http://www.ieee.org/publications_ standards/publications/rights/rights_link.html to learn how to obtain a License from RightsLink.
Julkaisun pysyvä osoite on
https://urn.fi/URN:ISBN:978-952-335-624-5
https://urn.fi/URN:ISBN:978-952-335-624-5
Tiivistelmä
Pumps, fans, and compressors account for nearly a third of the global consumption of electricity. Variable-speed drives (VSD) enable energy-efficient capacity control of these devices, and have thus become a common component in newly designed fluid handling systems, as well as a viable retrofit investment in many older systems. As previous research has shown, the benefits of VSDs are not limited to their main task, efficient capacity control—they can also function as an intelligent process diagnostic tool and soft sensor. This is made possible by the computational power, programmability, connectivity, and signals provided by modern VSDs. The motor shaft torque and rotational speed estimates of VSDs can be used either in and of themselves or as inputs to models of the process beyond the motor shaft to enable soft sensors and process identification algorithms that produce energy efficiency and condition-monitoring metrics in fluid handling systems.
This doctoral dissertation expands the functionality of the VSD as an intelligent process monitoring tool by five monitoring and diagnostic methods for pump, fan, and compressor systems. The presented methods enable estimation of the following process variables: centrifugal pump flow rate, pump system reservoir level, fan filter pressure drop, screwcompressor output pressure, and leakage flow rate of a compressed-air system. The suggested approaches are validated empirically with laboratory measurements.
These methods can produce monitoring data in applications where traditional instrumentation is deemed impractical or too expensive. They can also work redundantly alongside and help validate the results of pre-existing instrumentation, which can in some cases be prone to failure. A notable advantage of VSD-based process diagnostics is its low cost: once implemented in the control loop of a programmable VSD, the monitoring application can function automatically and requires no maintenance itself. Furthermore, the methods presented in this dissertation, as well as most of the previously published approaches, do not require extra metering or equipment nor physical modifications of the applicable process to function. Owing to the ubiquity of VSDs and the low cost of implementation of the presented methods, the results of this dissertation can have a positive impact on the energy efficiency and reliability of a large number of industrial processes.
This doctoral dissertation expands the functionality of the VSD as an intelligent process monitoring tool by five monitoring and diagnostic methods for pump, fan, and compressor systems. The presented methods enable estimation of the following process variables: centrifugal pump flow rate, pump system reservoir level, fan filter pressure drop, screwcompressor output pressure, and leakage flow rate of a compressed-air system. The suggested approaches are validated empirically with laboratory measurements.
These methods can produce monitoring data in applications where traditional instrumentation is deemed impractical or too expensive. They can also work redundantly alongside and help validate the results of pre-existing instrumentation, which can in some cases be prone to failure. A notable advantage of VSD-based process diagnostics is its low cost: once implemented in the control loop of a programmable VSD, the monitoring application can function automatically and requires no maintenance itself. Furthermore, the methods presented in this dissertation, as well as most of the previously published approaches, do not require extra metering or equipment nor physical modifications of the applicable process to function. Owing to the ubiquity of VSDs and the low cost of implementation of the presented methods, the results of this dissertation can have a positive impact on the energy efficiency and reliability of a large number of industrial processes.
Kokoelmat
- Väitöskirjat [997]