Performance Analysis of WHR Systems for Marine Applications Based on sCO 2 Gas Turbine and ORC

Fabrizio Reale (), Raffaela Calabria and Patrizio Massoli
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Fabrizio Reale: Institute of Sciences and Technologies for Sustainable Energy and Mobility, STEMS-CNR, 80125 Naples, Italy
Raffaela Calabria: Institute of Sciences and Technologies for Sustainable Energy and Mobility, STEMS-CNR, 80125 Naples, Italy
Patrizio Massoli: Institute of Sciences and Technologies for Sustainable Energy and Mobility, STEMS-CNR, 80125 Naples, Italy

Energies, 2023, vol. 16, issue 11, 1-19

Abstract: Waste heat recovery (WHR) can represent a solution to improve the efficiency of ships’ propulsion, helping to exceed stringent greenhouse gas emission limits. This is particularly suitable in the case of propulsion based on gas turbines due to their medium-high temperature level of the exhaust gases. This study analyzes the performance of a hybrid energy grid, in which the heat is recovered by the exhaust gases of an aeroderivative gas turbine, a GE LM2500+, when the bottoming system is a supercritical CO 2 gas turbine. Given the issues and peculiarities related to the onboard installation, where size and weight are fundamental concerns, six WHR schemes have been analyzed. They span from the simple cycle to partial preheated and regenerative, to a cascade layout in which an ORC system receives thermal power by the sCO 2 GT. The influence of the seawater temperature on the performance of the hybrid energy system has been also considered. The energetic and exergetic performance comparison of the different schemes has been carried out by using the commercial software Thermoflex. The results showed that an increase in overall performance by up to 29% can be obtained and that the increase in seawater temperature can lead to a decrease in the overall performance.

Keywords: waste heat recovery; WHR for marine applications; sCO 2 gas turbine; ORC; hybrid energy system; performance analysis of WHR system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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