Application of Unscented Kalman Filter for Condition Monitoring of an Organic Rankine Cycle Turbogenerator

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Leonardo Pierobon Rune Schlanbusch Rambabu Kandepu Fredrik Haglind

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 Drau- gen 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.

How to Cite

Pierobon, L. ., Schlanbusch, R. ., Kandepu, R. ., & Haglind, F. (2014). Application of Unscented Kalman Filter for Condition Monitoring of an Organic Rankine Cycle Turbogenerator. Annual Conference of the PHM Society, 6(1). https://doi.org/10.36001/phmconf.2014.v6i1.2491
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Keywords

condition monitoring, unscented Kalman filter, State Estimation, Heat Exchanger, organic Rankine cycle

References
Bolland, O., Forde, M., & Ha ̊nde, B. (1996). Air bottoming cycle: use of gas turbine waste heat for power generation. Journal of engineering for gas turbines and power, 118, 359-368.

Del Turco, P., Asti, A., Del Greco, A., Bacci, A., Landi, G., & Seghi, G. (2011, June). The ORegen waste heat recovery cycle: Reducing the CO2 footprint by means of overall cycle efficiency improvement. In Proceedings of ASME Turbo Expo 2011 (pp. 547–556). Vancouver, Canada.

Haglind, F., & Elmegaard, B. (2009). Methodologies for predicting the part-load performance of aero-derivative gas turbines. Energy, 34(10), 1484 - 1492.

Incropera, F. P., DeWitt, D. P., Bergman, T. L., & Lavine, A. S. (2007). Fundamentals of heat and mass transfer (6th ed.). Jefferson City, United States of America:

John Wiley & Sons, Inc. (ISBN: 9780470501979) Jonsson, G., & Palsson, O. P. (1994). An application of extended kalman filtering to heat exchanger models. Journal of dynamic systems, measurement, and control,116(2), 257–264.

Jonsson, G. R., Lalot, S., Palsson, O. P., & Desmet, B. (2007).Use of extended kalman filtering in detecting fouling in heat exchangers. International journal of heat and mass transfer, 50(13), 2643–2655.

Julier, S. J., & Uhlmann, J. K. (1997). New extension of the kalman filter to nonlinear systems. In Proceedings of signal processing, sensor fusion, and target recognition VI (pp. 182–193).

Kandepu, R., Foss, B., & Imsland, L. (2008). Applying the unscented kalman filter for nonlinear state estimation. Journal of Process Control, 18(7), 753–768.

Kloster, P. (1999, 7-9 September). Energy optimization on offshore installations with emphasis on offshore combined cycle plants. In Offshore europe conference (p. 1- 9). Aberdeen, Great Britain: Society of Petroleum Engineers.

Loparo, K., Buchner, M., & Vasudeva, K. (1991). Leak detection in an experimental heat exchanger process: a multiple model approach. Automatic Control, IEEE Transactions on, 36(2), 167–177.

Nguyen, T.-V., Pierobon, L., Elmegaard, B., Haglind, F., Breuhaus, P., & Voldsund, M. (2013). Exergetic assessment of energy systems on North Sea oil and gas platforms. Energy, 62(0), 23 - 36.

Pierobon, L., Casati, E., Casella, F., Haglind, F., & Colonna, P. (2014). Design methodology for flexible energy conversion systems accounting for dynamic performance. Energy, 68, 667–679.

Pierobon, L., Haglind, F., Kandepu, R., Fermi, A., & Rossetti, N. (2013, November). Technologies for waste heat recovery in off-shore applications. In Proceedings of ASME 2013 International Mechanical Engineering Congress & Exposition (p. 1-10). San Diego, California.

Pierobon, L., Nguyen, T.-V., Larsen, U., Haglind, F., & Elmegaard, B. (2013). Multi-objective optimization of organic Rankine cycles for waste heat recovery: Application in an offshore platform. Energy, 58, 538–549.

Quoilin, S., Broek, M. V. D., Declaye, S., Dewallef, P., & Lemort, V. (2013). Techno-economic survey of organic Rankine cycle (ORC) systems. Renewable and Sustainable Energy Reviews, 22, 168–186.

Schobeiri, M. (2005). Turbomachinery flow physics and dynamic performance. Berlin, Germany: Springer Berlin. (ISBN: 9783540223689)

Stodola, A. (1922). Dampf- und gasturbinen: Mit einem anhang u ̈ber die aussichten der wa ̈rmekraftmaschi- nen. Berlin, Germany: Springer Berlin. (ISBN: 7352997563)

Veres, J. P. (1994). Centrifugal and axial pump design and off-design performance prediction (Tech. Rep.). Sunnyvale, United States of America: NASA. (Technical Memorandum 106745)
Wan, E. A., & Van Der Merwe, R. (2000). The unscented kalman filter for nonlinear estimation. In Adaptive systems for signal processing, communications, and control symposium (pp. 153–158).
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Technical Papers