Estimation of pump operational state with model-based methods

Ahonen, Tero; Tamminen, Jussi; Ahola, Jero; Viholainen, Juha; Aranto, Niina; Kestila, J.

doi:10.1016/j.enconman.2010.01.009

Cited by 53 publications

(22 citation statements)

References 8 publications

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“…For example, if the fan in Fig. 1 (Ahonen et al 2010;Ahonen 2010;Hammo and Viholainen 2006;Tamminen et al 2011;Liu 2002;Wang and Liu 2005;Kernan 2007). In this paper, these estimation methods are referred to as the QH method and the QP method.…”

Section: V22mentioning

confidence: 99%

Comparison of model-based flow rate estimation methods in frequency-converter-driven pumps and fans

et al. 2013

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Abstract-Fluid handling systems such as pump and fan systems are found to have a significant potential for energy efficiency improvements. To deliver the energy saving potential, there is a need for easily implementable methods to monitor the system output. This is because information is needed to identify inefficient operation of the fluid handling system and to control the output of the pumping system according to process needs.Model-based pump or fan monitoring methods implemented in variable speed drives have proven to be able to give information on the system output without additional metering; however, the current model-based methods may not be usable or sufficiently accurate in the whole operation range of the fluid handling device. To apply model-based system monitoring in a wider selection of systems and to improve the accuracy of the monitoring, this paper proposes a new method for pump and fan output monitoring with variable-speed drives. The method uses a combination of already known operating point estimation methods. Laboratory measurements are used to verify the benefits and applicability of the improved estimation method, and the new method is compared with five previously introduced model-based estimation methods. According to the laboratory measurements, the new estimation method is the most accurate and reliable of the model-based estimation methods.

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Section: V22mentioning

confidence: 99%

Comparison of model-based flow rate estimation methods in frequency-converter-driven pumps and fans

et al. 2013

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“…Thus, the estimation of the flow rate can cause error also in the tuning of the ventilation system. The accuracy, error sources, and other possible ways to estimate the flow rate of a fan system are extensively discussed in Tamminen et al (2014) and Ahonen et al (2010). It has to be noted that the fan performance is affected by the mounting of the fan, resulting differences in the actual fan curve and the fan curve given by the manufacturer.…”

Section: Inaccuracy In the Estimation Of Fan System Operationmentioning

confidence: 99%

“…These model-based estimation methods are extensively discussed in Ahonen et al (2010) and Tamminen et al (2014). A graphical example of the QP curve-based estimation method is shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Fan pressure-based testing, adjusting, and balancing of a ventilation system

et al. 2015

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Ventilation systems are responsible for the thermal comfort and air quality of indoor spaces. The adjustment of ventilation systems is a time-consuming task that may need multiple iterations. Incorrect adjustments of a ventilation system can reduce the quality of working and living conditions and degrade the energy efficiency of the ventilation. In this paper, a testing, adjusting, and balancing method for a ventilation system is presented that uses only the knowledge of the fan total flow rate and pressure. The method does not need additional instrumentation for the ventilation adjustment as the fan operating point can be estimated with the variable-speed drive. The method is noniterative, thereby saving time, and the ventilation system is adjusted to its minimum energy consumption setting without compromise in system operation. The proposed method is assessed with a laboratory test setup to verify the correct operation of the method in practice.

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“…The comparison applies the QP-curvebased estimation method described in [6]. The torque can now be deduced from the known pump rotational speed and power by 2π…”

Section: Pumpmentioning

confidence: 99%

Component selection tool to maximize overall energy conversion efficiency in a pumping system

Tamminen

Kosonen

Ahonen

et al. 2013

2013 15th European Conference on Power Electronics and Applications (EPE)

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Often, the components of a pumping system are not selected from the perspective of the total system, as the individual components are selected using different programs. In this paper, a selection tool that optimizes the energy conversion efficiency of a pumping system according to actual process requirements is introduced. The tool requires only the catalog data of the components. Its application to an industrial pump system sizing, and thereby, to a component selection problem is demonstrated.

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Estimation of pump operational state with model-based methods

Cited by 53 publications

References 8 publications

Comparison of model-based flow rate estimation methods in frequency-converter-driven pumps and fans

Comparison of model-based flow rate estimation methods in frequency-converter-driven pumps and fans

Fan pressure-based testing, adjusting, and balancing of a ventilation system

Component selection tool to maximize overall energy conversion efficiency in a pumping system

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