Investigation of a Waste Heat Recovery System for a more electric ship

Zogogianni, Charoula G.; Voglitsis, Dionisis; Saridakis, Stefanos; Syrigos, Stylianos P.; Papanikolaou, Nick; Kyritsis, Anastasios; Loupis, Michael; Tsiftsis, Theodoros A.; Tatakis, Emmanuel C.

doi:10.1109/epe.2015.7309367

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…6 Recently, the direct conversion of waste heat to electricity by thermoelectric devices gained attention for marine applications. 1,[7][8][9][10] The aforementioned techniques, except of sea water desalination with flash evaporators, recover waste heat of more or less high temperature, such as the heat in exhaust gases. However, there is still an important quantity of low-temperature heat that is still rejected to the environment.…”

Section: Introductionmentioning

confidence: 99%

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Thermo-economic optimization of synthesis, design and operation of a marine organic Rankine cycle system

Kalikatzarakis

Frangopoulos

2016

Proceedings of the Institution of Mechanical Engineers, Part M:

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The recovery of high temperature thermal energy released by propulsion engines in order to cover thermal loads is commonplace in contemporary ships. However, the medium-and low-temperature thermal energy is only partially exploited or not exploited at all. In the present work, an organic Rankine cycle system driving an electric generator is considered, in addition to the exhaust gas boiler, in order to recover available heat and produce electrical energy. The specifications of the system are determined by an optimization procedure taking economic criteria into consideration, apart from the technical criteria usually used in this kind of studies. More specifically, with the net present value as the objective function and by application of optimization algorithms, the optimal synthesis, design and operation of the organic Rankine cycle system are determined. For the particular vessel considered, the installation of the organic Rankine cycle is technically feasible and economically profitable, with a dynamic payback period of 4 years. The solution of the optimization problem is supplemented with a sensitivity analysis with respect to important parameters.

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