4.7 Article

A novel heat recovery for a marine diesel engine with power and cooling outputs; exergetic, economic, and net present value investigation and multi-criteria NSGA-II optimization

Journal

AIN SHAMS ENGINEERING JOURNAL
Volume 14, Issue 9, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.asej.2022.1020672090-4479

Keywords

Marine diesel engine; Waste heat recovery; Auxiliary process; Environmental pollution; Advanced evolutionary algorithm

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Due to the pollution caused by cruises, the use of techniques to reduce carbon dioxide emissions is crucial. This study proposes a novel waste heat recovery model for a 1MW marine diesel engine in a low-temperature environment, which is expected to yield outstanding outcomes.
Owing to the marine environmental pollution affected by cruises, the use of techniques to mitigate carbon dioxide emission (CO2) is vital. Since a quarter of the fuel energy input to the engine is lost, waste management for marine diesel engines can provide some valuable outputs by which the need for other energy conversion-based methods disappears. Hence, the current work proposes a novel model of waste heat recovery for a 1 MW marine diesel engine in a low-temperature framework by which outstanding results are predictable. The defined auxiliary model consists of an absorption power cycle and an ejector refrigeration cycle to produce useful electricity and cooling for air conditioning. This model is designed for the first time and comprehensively analyzed and optimized to set the most suitable state of operation. The potential of the model is measured through the exergy, environmental, economic, and net present value standpoints. Moreover, an advanced evolutionary algorithm based on the non-dominated sorting genetic algorithm-II is applied to reach the optimum cost and exergetic performance. The optimum state showed an exergy efficiency of 35.19 % and products' specific cost of 53.01 $/GJ. Moreover, the optimum payback period and CO2 emission reduction equal 6.79 years and 21.5 kg/MWh, respectively. CO 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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