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Exergetic Analysis, Optimization and Comparison of LNG Cold Exergy Recovery Systems for Transportation

Department of Cryogenic, Aeronautic and Process Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland
Author to whom correspondence should be addressed.
Entropy 2018, 20(1), 59;
Received: 9 December 2017 / Revised: 5 January 2018 / Accepted: 11 January 2018 / Published: 13 January 2018
(This article belongs to the Special Issue Work Availability and Exergy Analysis)
LNG (Liquefied Natural Gas) shares in the global energy market is steadily increasing. One possible application of LNG is as a fuel for transportation. Stricter air pollution regulations and emission controls have made the natural gas a promising alternative to liquid petroleum fuels, especially in the case of heavy transport. However, in most LNG-fueled vehicles, the physical exergy of LNG is destroyed in the regasification process. This paper investigates possible LNG exergy recovery systems for transportation. The analyses focus on “cold energy” recovery systems as the enthalpy of LNG, which may be used as cooling power in air conditioning or refrigeration. Moreover, four exergy recovery systems that use LNG as a low temperature heat sink to produce electric power are analyzed. This includes single-stage and two-stage direct expansion systems, an ORC (Organic Rankine Cycle) system, and a combined system (ORC + direct expansion). The optimization of the above-mentioned LNG power cycles and exergy analyses are also discussed, with the identification of exergy loss in all components. The analyzed systems achieved exergetic efficiencies in the range of 20 % to 36 % , which corresponds to a net work in the range of 214 to 380 kJ/kg L N G . View Full-Text
Keywords: LNG; cryogenic power cycles; exergetic analysis; LNG fueled vehicles LNG; cryogenic power cycles; exergetic analysis; LNG fueled vehicles
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Dorosz, P.; Wojcieszak, P.; Malecha, Z. Exergetic Analysis, Optimization and Comparison of LNG Cold Exergy Recovery Systems for Transportation. Entropy 2018, 20, 59.

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