On the Traveling Salesman Problem in Nautical Environments: an Evolutionary Computing Approach to Optimization of Tourist Route Paths in Medulin, Croatia

Šegota, Sandi Baressi; Lorencin, Ivan; Ohkura, Kazuhiro; Car, Zlatan

doi:10.18048/2019.57.05.

Cited by 9 publications

(4 citation statements)

References 43 publications

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“…Further research related to the observed system and its influence on the overall marine power plant performance will be performed by using various complex artificial intelligence methods and processes [59][60][61].…”

Section: Figure 7 -Energy and Exergy Efficiencies Of Superheated Stea...mentioning

confidence: 99%

Thermodynamic Analysis of Steam Cooling Process in Marine Power Plant by Using Desuperheater

Mrzljak

Senčić

Poljak

et al. 2022

JMTS

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Thermodynamic (energy and exergy) analysis of steam cooling process in the marine steam propulsion plant is presented in this research. Steam cooling is performed by using Desuperheater which inject water in the superheated steam to obtain wet steam. Wet steam is used in auxiliary heaters for various heating purposes inside the marine steam propulsion system. Auxiliary heaters require wet steam due to safety reasons and for easier steam condensation after heat transfer. Analysis of steam cooling process is performed for a variety of steam system loads. Mass flow rates of cooling water and superheated steam in a properly balanced cooling process should have the same trends at different system loads -deviations from this conclusion is expected only for a notable change in any fluid temperature. Reduction in steam temperature is dependable on the superheated steam temperature (at Desuperheater inlet) because the temperature of wet steam (at Desuperheater outlet) is intended to be almost constant at all steam system loads. Energy losses of steam cooling process for all observed system loads are low and in range between 10-30 kW, while exergy losses are lower in comparison to energy losses (between 5-15 kW) for all loads except three the highest ones. At the highest system loads exergy losses strongly increase and are higher than 20 kW (up to 40 kW). The energy efficiency of a steam cooling process is very high (around 99% or higher), while exergy efficiency is slightly lower than energy efficiency (around 98% or higher) for all loads except the highest ones. At the highest steam system loads, due to a notable increase in cooling water mass flow rate and high temperature reduction, steam cooling process exergy efficiency significantly decreases, but still remains acceptably high (between 95% and 97%). Observation of both energy and exergy losses and efficiencies leads to conclusion that exergy analysis consider notable increase in mass flow rate of cooling water which thermodynamic properties (especially specific exergies) strongly differs in comparison to steam. Such element cannot be seen in the energy analysis of the same system.

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Section: Figure 7 -Energy and Exergy Efficiencies Of Superheated Stea...mentioning

confidence: 99%

Thermodynamic Analysis of Steam Cooling Process in Marine Power Plant by Using Desuperheater

Mrzljak

Senčić

Poljak

et al. 2022

JMTS

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“…After that, it will be investigated different system configurations with an aim to find an optimal one for each operating medium. All of newly obtained system configurations will be optimized by using various conventional [83,84] and artificial intelligence methods and techniques, which show its potential not only in marine applications [85,86], but also in energy systems [87], medical applications [88,89], robotics [90], in predicting trends of global (or local) diseases [91][92][93], etc.…”

Section: Figure 7 -Exergy Destructions (Exergy Losses) Of the Compone...mentioning

confidence: 99%

Energy and Exergy Analysis of Waste Heat Recovery Closed-Cycle Gas Turbine System while Operating with Different Medium

Mrzljak

Kudláček

Šegota

et al. 2021

JMTS

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In this paper is performed energy and exergy analysis of waste heat recovery closed-cycle gas turbine system. Analyzed system can use waste heat from various main propulsors (gas turbines or internal combustion engines). Basically, the observed system operates by using CO2, what was the baseline for the analysis. It is investigated did the observed system, while retaining the same configuration, can operate with different operating mediums instead of CO2. Other observed operating mediums were Air and Helium. During the change in operating medium, pressures and temperatures in some system operating points cannot remain the same as in the process with CO2, but the intention was to perform only the necessary changes (to ensure proper operation of each system component). Obtained results show that the system, while retaining the same configuration, can operate by using different operating mediums. Energy analysis of the system shows that the whole configuration is composed to operate with CO2, because the whole system energy efficiency is much higher than in operation with Air or Helium. The energy efficiency of the whole system during operation with CO2 is 87.68%, with Air is 58.39% and operation with Helium gives energy efficiency of 49.25%. Exergy analysis of the observed system shows that the system has a good potential to operate with other mediums, because in any observed situation exergy efficiency of the whole system was higher than 50%. In this analysis the highest exergy efficiency of the whole system was obtained during operation with Air (57.76%). In the observed system, low-temperature regenerator and main turbo-compressor are detected as components which are highly influenced by the change of operating medium. Therefore, these two components should be a baseline for further improvements and system optimization.

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“…GA represents a meta-heuristic algorithm that is based on Darwin evolution theory [15]. This algorithm has a long history of utilization in various fields of science and engineering, ranging from robotics [16], through modelling of energy systems [17] to maritime affairs [18]. Such an approach can offer a simpler and more effective method for PID parametrization.…”

Section: Introductionmentioning

confidence: 99%

Genetic Algorithm-Based Parametrization of a PI Controller for DC Motor Control

Mavrinac

Lorencin

Car

et al. 2022

Teh. glas. (Online)

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This paper analyses the application of a genetic algorithm (GA) for the purpose of designing the control system with separately excited DC motor controlled according to the rotor angle. The presented research is based on the utilization of a mathematical model designed with separate electrical and mechanical sub-systems. Such an approach allows fine-tuning of PID controllers by using an evolutionary procedure, mainly GA. For purpose of PID tuning, the new fitness function which combines several step response parameters with the aim of forming a unique surface which is then minimized with a genetic algorithm. From the results, it can be seen that the elitism-based algorithm achieved better results compared to the eligibility-based selection. Such an algorithm achieved a fitness value of 0.999982 resulting in a steady-state error of 0.000584 rad. The obtained results indicate the possibility of applying a GA in the parameterization of the PID controller for DC motor control.

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On the Traveling Salesman Problem in Nautical Environments: an Evolutionary Computing Approach to Optimization of Tourist Route Paths in Medulin, Croatia

Cited by 9 publications

References 43 publications

Thermodynamic Analysis of Steam Cooling Process in Marine Power Plant by Using Desuperheater

Thermodynamic Analysis of Steam Cooling Process in Marine Power Plant by Using Desuperheater

Energy and Exergy Analysis of Waste Heat Recovery Closed-Cycle Gas Turbine System while Operating with Different Medium

Genetic Algorithm-Based Parametrization of a PI Controller for DC Motor Control

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