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Modeling of a 1Â MW cogenerative internal combustion engine for diagnostic scopes

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  • Barelli, L.
  • Barluzzi, E.
  • Bidini, G.

Abstract

This paper contributes to the development of a thermo-dynamic model of the 1Â MW cogenerative internal combustion engine (I.C.E.), including also an artificial neural network simulator of the electronic control module. Such a study is part of a more wide research activity, concerning the development of a diagnosis and monitoring system specifically for power plants. In particular, the engine model was realized to simulate the engine functioning also in the case of malfunctions and failures occurrence, taking in consideration the compensation effect operated by the regulation system. The complete model was tested in reference to several experimental conditions, in particular in a first phase relative to different values of the target electrical power and, subsequently, concerning the case of compressor fouling. Therefore it was validated both the thermo-dynamic model and the regulator operation in reference to the experimental data.

Suggested Citation

  • Barelli, L. & Barluzzi, E. & Bidini, G., 2011. "Modeling of a 1Â MW cogenerative internal combustion engine for diagnostic scopes," Applied Energy, Elsevier, vol. 88(8), pages 2702-2712, August.
    • Handle: RePEc:eee:appene:v:88:y:2011:i:8:p:2702-2712
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    References listed on IDEAS

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    1. Carpaneto, Enrico & Chicco, Gianfranco & Mancarella, Pierluigi & Russo, Angela, 2011. "Cogeneration planning under uncertainty. Part II: Decision theory-based assessment of planning alternatives," Applied Energy, Elsevier, vol. 88(4), pages 1075-1083, April.
    2. Barelli, L. & Bidini, G. & Bonucci, F., 2009. "Diagnosis methodology for the turbocharger groups installed on a 1Â MW internal combustion engine," Applied Energy, Elsevier, vol. 86(12), pages 2721-2730, December.
    3. Lee, Dae Hee & Lee, Jun Sik & Park, Jae Suk, 2010. "Effects of secondary combustion on efficiencies and emission reduction in the diesel engine exhaust heat recovery system," Applied Energy, Elsevier, vol. 87(5), pages 1716-1721, May.
    4. Barelli, L. & Bidini, G. & Bonucci, F., 2009. "Development of the regulation mapping of 1Â MW internal combustion engine for diagnostic scopes," Applied Energy, Elsevier, vol. 86(7-8), pages 1087-1104, July.
    5. Mancarella, Pierluigi & Chicco, Gianfranco, 2009. "Global and local emission impact assessment of distributed cogeneration systems with partial-load models," Applied Energy, Elsevier, vol. 86(10), pages 2096-2106, October.
    6. Caresana, Flavio & Brandoni, Caterina & Feliciotti, Petro & Bartolini, Carlo Maria, 2011. "Energy and economic analysis of an ICE-based variable speed-operated micro-cogenerator," Applied Energy, Elsevier, vol. 88(3), pages 659-671, March.
    7. Ust, Yasin & Sahin, Bahri & Kodal, Ali, 2007. "Optimization of a dual cycle cogeneration system based on a new exergetic performance criterion," Applied Energy, Elsevier, vol. 84(11), pages 1079-1091, November.
    8. Badami, M. & Casetti, A. & Campanile, P. & Anzioso, F., 2007. "Performance of an innovative 120kWe natural gas cogeneration system," Energy, Elsevier, vol. 32(5), pages 823-833.
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    Cited by:

    1. Szwaja, Stanislaw & Jamrozik, Arkadiusz & Tutak, Wojciech, 2013. "A two-stage combustion system for burning lean gasoline mixtures in a stationary spark ignited engine," Applied Energy, Elsevier, vol. 105(C), pages 271-281.
    2. Blanco, J.M. & Vazquez, L. & Peña, F. & Diaz, D., 2013. "New investigation on diagnosing steam production systems from multivariate time series applied to thermal power plants," Applied Energy, Elsevier, vol. 101(C), pages 589-599.

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    Diagnosis I.C.E. modeling;

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