Advertisement

Performance analysis of cogeneration systems based on micro gas turbine (MGT), organic Rankine cycle and ejector refrigeration cycle

  • Zemin Bo
  • Kai Zhang
  • Peijie Sun
  • Xiaojing Lv
  • Yiwu WengEmail author
Research Article
  • 7 Downloads

Abstract

In this paper, the operation performance of three novel kinds of cogeneration systems under design and off-design condition was investigated. The systems are MGT (micro gas turbine) + ORC (organic Rankine cycle) for electricity demand, MGT + ERC (ejector refrigeration cycle) for electricity and cooling demand, and MGT + ORC + ERC for electricity and cooling demand. The effect of 5 different working fluids on cogeneration systems was studied. The results show that under the design condition, when using R600 in the bottoming cycle, the MGT + ORC system has the lowest total output of 117.1 kW with a thermal efficiency of 0.334, and the MGT + ERC system has the largest total output of 142.6 kW with a thermal efficiency of 0.408. For the MGT + ORC + ERC system, the total output is between the other two systems, which is 129.3 kW with a thermal efficiency of 0.370. For the effect of different working fluids, R123 is the most suitable working fluid for MGT + ORC with the maximum electricity output power and R600 is the most suitable working fluid for MGT + ERC with the maximum cooling capacity, while both R600 and R123 can make MGT + ORC + ERC achieve a good comprehensive performance of refrigeration and electricity. The thermal efficiency of three cogeneration systems can be effectively improved under off-design condition because the bottoming cycle can compensate for the power decrease of MGT. The results obtained in this paper can provide a reference for the design and operation of the cogeneration system for distributed energy systems (DES).

Keywords

cogeneration system different working fluids micro gas turbine (MGT) organic Rankine cycle (ORC) ejector refrigeration cycle (ERC) 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Notes

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 51376123) and the Aerospace Innovation Project (No. 0510).

References

  1. 1.
    Han J, Ouyang L, Xu Y, Zeng R, Kang S, Zhang G. Current status of distributed energy system in China. Renewable & Sustainable Energy Reviews, 2016, 55: 288–297CrossRefGoogle Scholar
  2. 2.
    Olumayegun O, Wang M, Kelsall G. Closed-cycle gas turbine for power generation: a state-of-the-art review. Fuel, 2016, 180: 694–717CrossRefGoogle Scholar
  3. 3.
    Wee J H. Molten carbonate fuel cell and gas turbine hybrid systems as distributed energy resources. Applied Energy, 2011, 88(12): 4252–4263CrossRefGoogle Scholar
  4. 4.
    Invernizzi C, Iora P, Silva P. Bottoming micro-Rankine cycles for micro-gas turbines. Applied Thermal Engineering, 2007, 27(1): 100–110CrossRefGoogle Scholar
  5. 5.
    Lee J H, Kim T S. Analysis of design and part load performance of micro gas turbine/organic Rankine cycle combined systems. Journal of Mechanical Science and Technology, 2006, 20(9): 1502–1513CrossRefGoogle Scholar
  6. 6.
    Camporeale S M, Pantaleo A M, Ciliberti P D, Fortunato B. Cycle configuration analysis and techno-economic sensitivity of biomass externally fired gas turbine with bottoming ORC. Energy Conversion and Management, 2015, 105: 1239–1250CrossRefGoogle Scholar
  7. 7.
    Chen J, Havtun H, Palm B. Screening of working fluids for the ejector refrigeration system. International Journal of Refrigeration, 2014, 47: 1–14CrossRefGoogle Scholar
  8. 8.
    Mago P J, Luck R. Energetic and exergetic analysis of waste heat recovery from a microturbine using organic Rankine cycles. International Journal of Energy Research, 2013, 37(8): 888–898CrossRefGoogle Scholar
  9. 9.
    Srinivasan K K, Mago P J, Krishnan S R. Analysis of exhaust waste heat recovery from a dual fuel low temperature combustion engine using an organic Rankine cycle. Energy, 2010, 35(6): 2387–2399CrossRefGoogle Scholar
  10. 10.
    Guillaume L, Legros A, Desideri A, Lemort V. Performance of a radial-inflow turbine integrated in an ORC system and designed for a WHR on truck application: an experimental comparison between R245fa and R1233zd. Applied Energy, 2017, 186: 408–422CrossRefGoogle Scholar
  11. 11.
    Mondal P, Mondal K, Ghosh S. Bio-gasification based distributed power generation system employing indirectly heated GT and supercritical ORC: energetic and exergetic performance assessment. International Journal of Renewable Energy Research, 2015, 5(3): 773–781Google Scholar
  12. 12.
    Sung T, Kim S, Kim K C. Thermoeconomic analysis of a biogasfueled micro-gas turbine with a bottoming organic Rankine cycle for a sewage sludge and food waste treatment plant in the Republic of Korea. Applied Thermal Engineering, 2017, 127: 963–974CrossRefGoogle Scholar
  13. 13.
    Yari M. Thermodynamic analysis of a combined micro turbine with a micro ORC. In: Proceedings of the ASME Turbo Expo, Berlin, Germany, 2008: 797–805Google Scholar
  14. 14.
    Benato A, Stoppato A, Mirandola A, Del Medico M. Design and Off-design analysis of an ORC coupled with a micro-gas turbine. Energy Procedia, 2017, 129: 551–558CrossRefGoogle Scholar
  15. 15.
    Amirante R, Palma P D, Distaso E, Pantaleo A M, Tamburrano P. Thermodynamic analysis of a small scale combined cycle for energy generation from carbon neutral biomass. Energy Procedia, 2017, 129: 891–898CrossRefGoogle Scholar
  16. 16.
    Clemente S, Micheli D, Reini M, Taccani R. Bottoming organic Rankine cycle for a small scale gas turbine: a comparison of different solutions. Applied Energy, 2013, 106: 355–364CrossRefGoogle Scholar
  17. 17.
    Jradi M, Riffat S. Modelling and testing of a hybrid solar-biomass ORC-based micro-CHP system. International Journal of Energy Research, 2014, 38(8): 1039–1052CrossRefGoogle Scholar
  18. 18.
    Ebrahimi M, Majidi S. Exergy-energy-environ evaluation of combined cooling heating and power system based on a double stage compression regenerative gas turbine in large scales. Energy Conversion and Management, 2017, 150: 122–133CrossRefGoogle Scholar
  19. 19.
    Boumaraf L, Haberschill P, Lallemand A. Investigation of a novel ejector expansion refrigeration system using the working fluid R134a and its potential substitute R1234yf. International Journal of Refrigeration, 2014, 45: 148–159CrossRefGoogle Scholar
  20. 20.
    Ebrahimi M, Ahookhosh K. Integrated energy-exergy optimization of a novel micro-CCHP cycle based on MGT-ORC and steam ejector refrigerator. Applied Thermal Engineering, 2016, 102: 1206–1218CrossRefGoogle Scholar
  21. 21.
    Zheng B, Weng Y W. A combined power and ejector refrigeration cycle for low temperature heat sources. Solar Energy, 2010, 84(5): 784–791CrossRefGoogle Scholar
  22. 22.
    Zhang Q, Bo Z M, Sang Z K, Weng Y W. Analysis on operating characteristics of biogas-fired micro gas turbine. Journal of Engineering for Thermal Energy and Power, 2016, 31(3): 44–49 (in Chinese)Google Scholar
  23. 23.
    Wang Y P, Liu X, Ding X Y, Weng Y W. Experimental investigation on the performance of ORC power system using zeotropic mixture R601a/R600a. International Journal of Energy Research, 2017, 41(5): 673–688CrossRefGoogle Scholar
  24. 24.
    Du Y, Dai Y P. Off-design performance analysis of a power-cooling cogeneration system combining a Kalina cycle with an ejector refrigeration cycle. Energy, 2018, 161: 233–250CrossRefGoogle Scholar
  25. 25.
    Caresana F, Comodi G, Pelagalli L. Micro combined plant with gas turbine and organic cycle. In: Proceedings of the ASME Turbo Expo, Berlin, Germany, 2008: 787–795Google Scholar

Copyright information

© Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Zemin Bo
    • 1
  • Kai Zhang
    • 1
  • Peijie Sun
    • 2
  • Xiaojing Lv
    • 1
  • Yiwu Weng
    • 1
    Email author
  1. 1.School of Mechanical EngineeringShanghai Jiao Tong UniversityShanghaiChina
  2. 2.Aerospace System Engineering ShanghaiShanghaiChina

Personalised recommendations