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Liming Song

Researcher at Xi'an Jiaotong University

Publications -  4
Citations -  80

Liming Song is an academic researcher from Xi'an Jiaotong University. The author has contributed to research in topics: Waste heat recovery unit & Exergy. The author has an hindex of 2, co-authored 4 publications receiving 25 citations.

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Comparative investigation on the supercritical carbon dioxide power cycle for waste heat recovery of gas turbine

TL;DR: In this article, a comparative investigation on the supercritical carbon dioxide power cycle for waste heat recovery of gas turbine is carried out, where four categories and six cycles are chosen to represent typical layout of supercritical CO 2 power cycle based on thorough literature reviews.
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Thermo-economic analysis of a combined cooling, heating and power system based on carbon dioxide power cycle and absorption chiller for waste heat recovery of gas turbine

TL;DR: In this paper, a novel combined cooling, heating and power system which consists of carbon dioxide power cycle, absorption chiller and heaters is proposed for waste heat recovery of gas turbine, and the results of parametric analysis indicate that there is an optimal value for the turbine inlet temperature, at which the exergy efficiency is maximized and the levelized cost of exergy is minimized.
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Study on the off-design performance of supercritical carbon dioxide power cycle for waste heat recovery of gas turbine

TL;DR: In this paper, the performance of a partial heating carbon dioxide power cycle driven by the waste heat of a gas turbine is quantitatively analyzed in an off-design setting. And the results indicate that the net power output would increase by 0.62 MW on average as the mass flow rate of flue gas increases by 5 kg/s.
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Thermodynamic analysis and optimization of a dual-pressure Allam cycle integrated with the regasification of liquefied natural gas

TL;DR: In this article, a dual-pressure Allam cycle integrated with the cold energy recovery of liquefied natural gas is proposed and analyzed, and the results of thermodynamic analysis and optimization are discussed in detail.