Application of unscented Kalman filter for condition monitoring of an organic Rankine cycle turbogenerator

Leonardo Pierobon, Rune Schlanbusch, Rambabu Kandepu, Fredrik Haglind

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Abstract

This work relates to a project focusing on energy optimization on offshore facilities. On oil and gas platforms it is common practice to employ gas turbines for power production. So as to increase the system performance and reduce emissions, a bottoming cycle unit can be designed with particular emphasis on compactness and reliability. In such context, organic Rankine cycle turbogenerators are a promising technology. The implementation of an organic Rankine cycle unit is thus considered for the power system of the Draugen offshore platform in the northern sea, which is the case study for this project. Considering the plant dynamics, it is of paramount importance to monitor the peak temperatures within the once-through boiler serving the bottoming unit to prevent the decomposition of the working fluid. This paper accordingly aims at applying the unscented Kalman filter to estimate the temperature distribution inside the primary heat exchanger by engaging a detailed and distributed model of the system and available measurements. Simulation results prove the robustness of the unscented Kalman filter with respect to process noise, measurement disturbances and initial conditions.
Original languageEnglish
Title of host publicationProceedings of the Annual Conference of the Prognostics and Health Management Society 2014
Number of pages8
PublisherPrognostics and Health Management Society
Publication date2014
Publication statusPublished - 2014
Event2014 Annual Conference of the Prognostics and Health Management Society - Fort Worth, TX, United States
Duration: 29 Sep 20142 Oct 2014
http://www.phmsociety.org/events/conference/phm/14

Conference

Conference2014 Annual Conference of the Prognostics and Health Management Society
Country/TerritoryUnited States
CityFort Worth, TX
Period29/09/201402/10/2014
Internet address

Bibliographical note

This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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