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Assessment of off-design performance of a small-scale combined cooling and power system using an alternative operating strategy for gas turbine

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  • Han, Wei
  • Chen, Qiang
  • Lin, Ru-mou
  • Jin, Hong-guang

Abstract

A small-scale combined cooling and power (CCP) system usually serves district air conditioning apart from power generation purposes. The typical system consists of a gas turbine and an exhaust gas-fired absorption refrigerator. The surplus heat of the gas turbine is recovered to generate cooling energy. In this way, the CCP system has a high overall efficiency at the design point. However, the CCP system usually runs under off-design conditions because the users’ demand varies frequently. The operating strategy of the gas turbine will affect the thermodynamic performance of itself and the entire CCP system. The operating strategies for gas turbines include the reducing turbine inlet temperature (TIT) and the compressor inlet air throttling (IAT). A CCP system, consisting of an OPRA gas turbine and a double effects absorption refrigerator, is investigated to identify the effects of different operating strategies. The CCP system is simulated based on the partial-load model of gas turbine and absorption refrigerator. The off-design performance of the CCP system is compared under different operating strategies. The results show that the IAT strategy is the better one. At 50% rated power output of the gas turbine, the IAT operating strategy can increase overall system efficiency by 10% compared with the TIT strategy. In general, the IAT operating strategy is suited for other gas turbines. However, the benefits of IAT should be investigated in the future, when different gas turbine is adopted. This study may provide a new operating strategy of small scale gas turbine to improve the off-design performance of CCP system.

Suggested Citation

  • Han, Wei & Chen, Qiang & Lin, Ru-mou & Jin, Hong-guang, 2015. "Assessment of off-design performance of a small-scale combined cooling and power system using an alternative operating strategy for gas turbine," Applied Energy, Elsevier, vol. 138(C), pages 160-168.
    • Handle: RePEc:eee:appene:v:138:y:2015:i:c:p:160-168
    DOI: 10.1016/j.apenergy.2014.10.054
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    1. Maraver, Daniel & Sin, Ana & Royo, Javier & Sebastián, Fernando, 2013. "Assessment of CCHP systems based on biomass combustion for small-scale applications through a review of the technology and analysis of energy efficiency parameters," Applied Energy, Elsevier, vol. 102(C), pages 1303-1313.
    2. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhai, Zhiqiang (John), 2011. "Performance comparison of combined cooling heating and power system in different operation modes," Applied Energy, Elsevier, vol. 88(12), pages 4621-4631.
    3. Bischi, Aldo & Taccari, Leonardo & Martelli, Emanuele & Amaldi, Edoardo & Manzolini, Giampaolo & Silva, Paolo & Campanari, Stefano & Macchi, Ennio, 2014. "A detailed MILP optimization model for combined cooling, heat and power system operation planning," Energy, Elsevier, vol. 74(C), pages 12-26.
    4. Fang, Fang & Wei, Le & Liu, Jizhen & Zhang, Jianhua & Hou, Guolian, 2012. "Complementary configuration and operation of a CCHP-ORC system," Energy, Elsevier, vol. 46(1), pages 211-220.
    5. Udomsri, Seksan & Martin, Andrew R. & Martin, Viktoria, 2011. "Thermally driven cooling coupled with municipal solid waste-fired power plant: Application of combined heat, cooling and power in tropical urban areas," Applied Energy, Elsevier, vol. 88(5), pages 1532-1542, May.
    6. Variny, Miroslav & Mierka, Otto, 2009. "Improvement of part load efficiency of a combined cycle power plant provisioning ancillary services," Applied Energy, Elsevier, vol. 86(6), pages 888-894, June.
    7. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Xutao & Zhang, Chunfa, 2011. "Sensitivity analysis of optimal model on building cooling heating and power system," Applied Energy, Elsevier, vol. 88(12), pages 5143-5152.
    8. Kim, T.S. & Hwang, S.H., 2006. "Part load performance analysis of recuperated gas turbines considering engine configuration and operation strategy," Energy, Elsevier, vol. 31(2), pages 260-277.
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