Machines. Technologies. Materials.
Vol. 15 (2021), Issue 2, pg(s) 42-45

MACHINES

Energy and exergy losses analysis of back-pressure steam turbine from CHP plant

  • 1 Faculty of Engineering, University of Rijeka, Croatia
  • 2 Department of maritime sciences, University of Zadar, Croatia

Abstract

In this paper is analyzed back-pressure steam turbine which operates in CHP (Combined Heat and Power) plant from the aspect of energy and exergy losses. Produced turbine power, used for electricity generator drive equals 62548.77 kW, while the turbine mechanical loss is 1934.50 kW. Exergy analysis of the turbine shows that cumulative exergy loss is composed of two losses – mechanical loss and steam exergy loss. Steam exergy loss is additional loss which takes into account the state of the ambient in which turbine operates (unlike energy analysis which is independent of the ambient state). Change in the ambient temperature resulted with a change in turbine exergy efficiency and exergy loss. Ambient temperature change for 10 °C resulted with change in turbine exergy efficiency for less than 0.5 % on average, while the change in the turbine exergy loss (for the same temperature change) equals 266.21 kW on average.

Keywords

References

  1. Wilding, P. R., Murray, N. R., & Memmott, M. J. (2020). The use of multi-objective optimization to improve the design process of nuclear power plant systems. Annals of Nuclear Energy, 137, 107079. (doi:10.1016/j.anucene.2019.107079)
  2. Lorencin, I., Anđelić, N., Mrzljak, V., & Car, Z. (2019). Genetic Algorithm Approach to Design of Multi-Layer Perceptron for Combined Cycle Power Plant Electrical Power Output Estimation. Energies, 12(22), 4352. (doi:10.3390/en12224352)
  3. Pattanayak, L., Padhi, B. N., & Kodamasingh, B. (2019). Thermal performance assessment of steam surface condenser. Case Studies in Thermal Engineering, 14, 100484. (doi:10.1016/j.csite.2019.100484)
  4. Škopac, L., Medica-Viola, V., & Mrzljak, V. (2020). Selection Maps of Explicit Colebrook Approximations according to Calculation Time and Precision. Heat Transfer Engineering, 1-15. (doi:10.1080/01457632.2020.1744248)
  5. Kostyuk, A., & Frolov, V. (Eds.). (1988). Steam and gas turbines. Mir Pub..
  6. Holmberg, H., Tuomaala, M., Haikonen, T., & Ahtila, P. (2012). Allocation of fuel costs and CO2-emissions to heat and power in an industrial CHP plant: Case integrated pulp and paper mill. Appl. En., 93, 614-623.(doi: 10.1016/j.apenergy.2011.11.040)
  7. Zueco, J., López-Asensio, D., Fernández, F. J., & López-González, L. M. (2020). Exergy analysis of a steam-turbine power plant using thermocombustion. Appl. Therm. Eng., 180, 115812. (doi: 10.1016/j.applthermaleng.2020.115812)
  8. Baressi Šegota, S., Lorencin, I., Anđelić, N., Mrzljak, V., & Car, Z. (2020). Improvement of Marine Steam Turbine Conventional Exergy Analysis by Neural Network Application. Journal of Marine Sci. and Eng., 8(11), 884. (doi:10.3390/jmse8110884)
  9. Lorencin, I., Anđelić, N., Mrzljak, V., & Car, Z. (2019). Exergy analysis of marine steam turbine labyrinth (gland) seals. Pomorstvo, 33(1), 76-83. (doi:10.31217/p.33.1.8)
  10. Kanoğlu, M., Çengel, Y. A. & Dincer, I. (2012). Efficiency Evaluation of Energy Systems. Springer. (doi:10.1007/978-1-4614-2242-6)
  11. Medica-Viola, V., Baressi Šegota, S., Mrzljak, V., & Štifanić, D. (2020). Comparison of conventional and heat balance based energy analyses of steam turbine. Pomorstvo, 34(1), 74-85. (doi:10.31217/p.34.1.9)
  12. Ahmadi, G. R., & Toghraie, D. (2016). Energy and exergy analysis of Montazeri steam power plant in Iran. Renewable and Sust. Energy Rev., 56, 454-463. (doi:10.1016/j.rser.2015.11.074)
  13. Mrzljak, V., & Poljak, I. (2019). Energy Analysis of Main Propulsion Steam Turbine from Conventional LNG Carrier at Three Different Loads. NAŠE MORE, 66(1), 10-18. (doi:10.17818/NM/2019/1.2)
  14. Aljundi, I. H. (2009). Energy and exergy analysis of a steam power plant in Jordan. Applied Thermal Eng., 29(2-3), 324-328. (doi:10.1016/j.applthermaleng.2008.02.029)
  15. Szargut, J. (2005). Exergy method: technical and ecological applications (Vol. 18). WIT press.
  16. Medica-Viola, V., Mrzljak, V., Anđelić, N., & Jelić, M. (2020). Analysis of Low-Power Steam Turbine With One Extraction for Marine Applications. NAŠE MORE, 67(2), 87-95. (doi:10.17818/NM/2020/2.1)
  17. Baldi, F., Ahlgren, F., Nguyen, T. V., Thern, M., & Andersson, K. (2018). Energy and exergy analysis of a cruise ship. Energies, 11(10), 2508. (doi:10.3390/en11102508)
  18. Mrzljak, V., Blecich, P., Anđelić, N., & Lorencin, I. (2019). Energy and Exergy Analyses of Forced Draft Fan for Marine Steam Propulsion System during Load Change. Journal of Marine Sci. and Eng., 7(11), 381. (doi:10.3390/jmse7110381)
  19. Koroglu, T., & Sogut, O. S. (2018). Conventional and advanced exergy analyses of a marine steam power plant. Energy, 163, 392-403. (doi:10.1016/j.energy.2018.08.119)
  20. Mrzljak, V., Poljak, I., & Prpić-Oršić, J. (2019). Exergy analysis of the main propulsion steam turbine from marine propulsion plant. Brodogradnja, 70(1), 59-77. (doi:10.21278/brod70105)
  21. Tan, H., Shan, S., Nie, Y., & Zhao, Q. (2018). A new boil-off gas re-liquefaction system for LNG carriers based on dual mixed refrigerant cycle. Cryogenics, 92, 84-92. (doi:10.1016/j.cryogenics.2018.04.009)
  22. Mrzljak, V., Senčić, T., & Ţarković, B. (2018). Turbogenerator steam turbine variation in developed power: Analysis of exergy efficiency and exergy destruction change. Modelling and Simulation in Engineering, 2018. (doi:10.1155/2018/2945325)
  23. Mrzljak, V., Poljak, I., & Medica-Viola, V. (2017). Dual fuel consumption and efficiency of marine steam generators for the propulsion of LNG carrier. Applied Thermal Engineering, 119, 331-346. (doi:10.1016/j.applthermaleng.2017.03.078)
  24. Lemmon, E. W., Huber, M. L., & McLinden, M. O. (2010). NIST Standard Reference Database 23, Reference Fluid Thermodynamic and Transport Properties (REFPROP), version 9.0, National Institute of Standards and Technology. R1234yf. fld file dated December, 22, 2010.
  25. Baressi Šegota, S., Lorencin, I., Ohkura, K., & Car, Z. (2019). On the Traveling Salesman Problem in Nautical Environments: an Evolutionary Computing Approach to Optimization of Tourist Route Paths in Medulin, Croatia. Pomorski zbornik, 57(1), 71-87. (doi:10.18048/2019.57.05)
  26. Lorencin, I., Anđelić, N., Mrzljak, V., & Car, Z. (2019). Marine Objects Recognition Using Convolutional Neural Networks. NAŠE MORE, 66(3), 112-119. (doi:10.17818/NM/2019/3.3)
  27. Car, Z., Baressi Šegota, S., Anđelić, N., Lorencin, I., & Mrzljak, V. (2020). Modeling the Spread of COVID-19 Infection Using a Multilayer Perceptron. Computational and Mathematical Methods in Medicine, 2020. (doi:10.1155/2020/5714714)
  28. Lorencin, I., Anđelić, N., Mrzljak, V., & Car, Z. (2019). Multilayer Perceptron approach to Condition-Based Maintenance of Marine CODLAG Propulsion System Components. Pomorstvo, 33(2), 181-190. (doi:10.31217/p.33.2.8)
  29. Baressi Šegota, S., Lorencin, I., Musulin, J., Štifanić, D., & Car, Z. (2020). Frigate Speed Estimation Using CODLAG Propulsion System Parameters and Multilayer Perceptron. NAŠE MORE, 67(2), 117-125. (doi:10.17818/NM/2020/2.4)
  30. Lorencin, I., Anđelić, N., Šegota, S. B., Musulin, J., Štifanić, D., Mrzljak, V., ... & Car, Z. Edge Detector-Based Hybrid Artificial Neural Network Models for Urinary Bladder Cancer Diagnosis. In Enabling AI Applications in Data Science (pp. 225-245). Springer, Cham.

Article full text

Download PDF