Sustainable energy design of cruise ships through dynamic simulations: Multi-objective optimization for waste heat recovery

Barone, Giovanni; Buonomano, Annamaria; Forzano, Cesare; Palombo, Adolfo; Vicidomini, Maria

doi:10.1016/j.enconman.2020.113166

Cited by 46 publications

(11 citation statements)

References 48 publications

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“…The heating ventilation and air conditioning (HVAC) system is the second largest energy consumer in a cruiser ship following the propulsion system [1]. The energy consumption of the HVAC system is highly dependent on the outside temperature, but in some estimates the energy consumption of the HVAC system can be up to 13%-16% [2,3]. Due to the COVID19 pandemic, it is possible that the use of fully separated fresh-exhaust air conditioning systems will increase in the future.…”

Section: Introductionmentioning

confidence: 99%

Parametric CFD study for finding the optimal tube arrangement of a fin-and-tube heat exchanger with plain fins in a marine environment

Välikangas

Folkersma

Maso

et al. 2022

Applied Thermal Engineering

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In the past, fin-and tube heat exchanger (FTHE) tube pattern ratios have been largely based on ad-hoc design principles. Here, we investigate the optimal tube arrangements for a FTHE with plain fins in marine environments represented by two different air types; one for unfiltered air with high condensation rate and one for clean dry filtered air conditions. The thermal-hydraulic efficiency of the FTHE design is measured by comparing a modified ratio of Colburn j-factor and Fanning friction factor. The regression model generated from the CFD data is then used to identify the maximum efficiency for two design specific fin pitches separately. We identified two optimal tube patterns: one for a large fin pitch for unfiltered air, and another for a small fin pitch for filtered air. Manufacturing restrictions were found to significantly limit the maximum achievable efficiency of a tube pattern. By neglecting the related manufacturing restrictions, 4% higher efficiency for a fin pitch of 1.5 mm and 23% higher efficiency for a fin pitch of 3.5 mm is achieved. Without any application specific limitations or manufacturing restrictions the fin pitch 1.5 mm can have a 36% increased efficiency than fin pitch 3.5 mm. These novel results show that development in manufacturing have potential for significant improvements in thermal-hydraulic efficiency.

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Section: Introductionmentioning

confidence: 99%

Parametric CFD study for finding the optimal tube arrangement of a fin-and-tube heat exchanger with plain fins in a marine environment

Välikangas

Folkersma

Maso

et al. 2022

Applied Thermal Engineering

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“…Accordingly, dynamic multi-objective optimization algorithms (DMOAs) are powerful tools for solving DMOPs and are widely employed to solve many real-life problems. Common application areas include scheduling [15][16][17], control [18], chemistry [19], industry [20], and energy design [21]. For example, when solving vehicle routing problems for package delivery, not only do the number of vehicles, path lengths, and other objectives need to be optimized in a static manner, but the time window of customers and the dynamically changing topology of customers should be considered to satisfy the needs of practical scenarios [22].…”

Section: Introductionmentioning

confidence: 99%

Combining Key-Points-Based Transfer Learning and Hybrid Prediction Strategies for Dynamic Multi-Objective Optimization

Wang

2022

Mathematics

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Dynamic multi-objective optimization problems (DMOPs) have been of interest to many researchers. These are problems in which the environment changes during the evolutionary process, such as the Pareto-optimal set (POS) or the Pareto-optimal front (POF). This kind of problem imposes more challenges and difficulties for evolutionary algorithms, mainly because it demands population to track the changing POF efficiently and accurately. In this paper, we propose a new approach combining key-points-based transfer learning and hybrid prediction strategies (KPTHP). In particular, the transfer process combines predictive strategy with obtaining anticipated key points depending on the previous moments to acquire the optimal individuals at the new instance during the evolution. Additionally, center-point-based prediction is used to complement transfer learning to comprehensively generate initial populations. KPTHP and six state-of-the-art algorithms are tested on various test functions for MIGD, DMIGD, MMS, and HVD metrics. KPTHP obtains superior results on most of the tested functions, which shows that our algorithm performs excellently in both convergence and diversity, with more competitiveness in addressing dynamic problems.

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“…Currently, marine diesel engines have an efficiency of close to 50% but can be globally more efficient when combined with waste heat recovery (WHR) from their exhaust gas [5][6][7][8][9][10]. WHR steam plants allow achieving an overall efficiency improvement of 3 ÷ 5%, which corresponds to about the same percentage of carbon dioxide emission reduction.…”

Section: Introductionmentioning

confidence: 99%

Marine Dual-Fuel Engines Power Smart Management by Hybrid Turbocharging Systems

Altosole

Balsamo

Campora

et al. 2021

JMSE

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The performance of a marine dual-fuel engine, equipped with an innovative hybrid turbocharger producing electric power to satisfy part of the ship’s electric load, is presented by a simulation comparison with the traditional turbocharging technology. The two distinct fuel types, combined with the hybrid turbocharger, involve a substantial change in the engine control modes, resulting in more flexible and efficient power management. Therefore, the investigation requires a numerical analysis depending on the engine load variation, in both fuelling modes, to highlight different behaviours. In detail, a dual-fuel engine simulation model is validated for a particular application in order to perform a complete comparison, reported in tabular and graphical form, between the two examined turbocharging solutions. The simulation analysis is presented in terms of the engine working data and overall energy conversion efficiency.

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Sustainable energy design of cruise ships through dynamic simulations: Multi-objective optimization for waste heat recovery

Cited by 46 publications

References 48 publications

Parametric CFD study for finding the optimal tube arrangement of a fin-and-tube heat exchanger with plain fins in a marine environment

Parametric CFD study for finding the optimal tube arrangement of a fin-and-tube heat exchanger with plain fins in a marine environment

Combining Key-Points-Based Transfer Learning and Hybrid Prediction Strategies for Dynamic Multi-Objective Optimization

Marine Dual-Fuel Engines Power Smart Management by Hybrid Turbocharging Systems

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