Modeling and thermoeconomic optimization of marine diesel charge air cooler

• Published in: Energy (Oxford) 2018-11, Vol.162, p.753-763
• Main Authors: Momeni, Seyed Mohsen, Salehi, Gholamreza, Nimvari, Majid Eshagh
• Format: Article
• Language: English
• Subjects: Algorithms; Charge air; Cooling; Cost analysis; Decision making; Decision theory; Design optimization; Design parameters; Diesel; Diesel fuels; Energy conservation; Energy efficiency; Exergy; Exergy efficiency; Experimental data; Firefly algorithm; Heat exchangers; Heuristic methods; Marine diesel charge air cooler; Mathematical models; Multi-objective optimization; Multiple objective analysis; Pressure drop; Sensitivity analysis; Thermodynamics; Thermoeconomic; Ventilation; Water pressure
• ISSN: 0360-5442; 1873-6785
• DOI: 10.1016/j.energy.2018.08.092

This study presents a theoretical model for multi-objective optimization of marine diesel charge air cooler by firefly algorithm. By considering the overall cost and exergy destruction minimization as objective functions, energy and exergy analysis is carried out for multi-objective optimization design of a heat exchanger. Sensitivity analysis is performed to find out the effect of design parameters on the objective functions. Firefly algorithm is used to generate a set of Pareto optimum points and a normalized form of the Pareto front is applied as a decision-making approach to finding out optimum solutions. The theoretical model in the present study is verified by an experimental data and shows a good agreement between the current results and the experimental data. Also, the Pareto front shows that irreversible losses decrease while total cost increases and vice versa. Multi-objective optimization results reveal that overall cost and exergy destructions are reduced by 4.03% and 7.66%, respectively. Water pressure drop is decreased by 12.41% and air pressure drop is reduced by 2.95%. •A multi-objective optimization of charge air cooler is studied by a firefly algorithm.•Total cost and exergy destruction are considered as the objective functions.•The effects of decision variables are studied on the objective functions.•Optimal working points of the charge air cooler are obtained from the Pareto front.