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Abstract: Due to an ever-increasing movement of containers across the globe in line with the economic boom, the trade imbalance and issues related to empty containers have become inevitable. Empty containers accumulated at specific ports cannot only generate profit but also increase the environmental footprint. This research proposes a Maritime Empty Container Reposition Modelling Framework by integrating the agent-based modelling (ABM) paradigm to model the global movements of empty containers. An agent-based maritime logistic empty container redistribution model was developed to help minimize the total relevant costs for empty container movement in the planning horizon. In the system, ports, shipping companies, customers, and empty containers were identified as critical agents. Using simulated annealing (SA), shipping line agents were able to optimise empty container repositioning to determine the best sequence for moving containers. The model was applied to the Asia–Middle East region to simulate global empty containers repositioning in the region. The results comparison shows that the proposed optimised empty container repositioning framework can significantly reduce the shipping line’s costs and make full use of empty containers
Keywords: maritime industry, empty containers, repositioning, agent-based modelling, simulation, optimisation
Published in DKUM: 02.08.2023; Views: 72; Downloads: 11
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Keywords: metaheuristic algorithm, improved multi-phase particle swarm optimization, cellular neighbor network, dynamic job shop scheduling, simulation modelling
Published in DKUM: 19.05.2023; Views: 189; Downloads: 13
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Abstract: Nowadays, traditional sources are mostly used for energy production, such as fossil and nuclear fuels. Such energy sources have a negative impact on the environment. As a result, trends in energy production are increasingly focused on renewable energy sources. These energy sources are available everywhere and their environmental impact is minimal. Nonetheless, these energy sources cannot be exploited with the same efficiency during the day (the Sun is not present the whole day, in winter, the sunlight days are shorter, the wind is not constant, etc.) or during different periods of the year. The variable amount of energy, produced from these sources and the integration with energy distribution systems, must not be overlooked. This is especially important in power plants, where it is necessary to ensure high energy reserves at excess load, which can be achieved by incorporating an improved energy storage system and higher efficiency of produced electricity. This process contributes to a significant reduction in costs. Direct energy storage systems, described in this master's thesis, are used in applications that require many fast charging and discharging cycles instead of a long-term energy storage in cars, buses, trains and lifts, where they are used for regenerative braking, short-term energy storage or as a primary source of electricity. Supercapacitors are electrochemical double-layer capacitors with low energy density and high power density. They have low series resistance, so they have the ability to emit high current, allowing them to charge quickly and a long lifespan. The goal of the thesis is to determine experimental parameters of supercapacitors and to compare them with theoretical parameters and batteries. With the simulation method of charge and discharge we have proven, that differences in results exists.
Keywords: storage, supercapacitor, application, modelling
Published in DKUM: 02.03.2020; Views: 1772; Downloads: 225
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Abstract: In the last years, energy efficiency has become an important issue for the EU and Slovenia, who both strive for more sustainable use of energy in buildings. As an innovative approach to such matter, green walls are vertical structures that can serve both as a façade or an insulation layer as well as an aesthetic design for building application. This thesis contains calculated annual heat (transmission) losses through different wall assemblies with and without a constructed green wall in front of them. The goal is to compare values of heat losses between those wall assemblies and the explanation of such results which will determine if green walls present a viable energy-efficient structure for buildings.
Keywords: energy efficiency, green wall, heat losses, modelling
Published in DKUM: 18.11.2019; Views: 1651; Downloads: 119
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Keywords: simulation modelling, evolutionary computation, cyber-physical system, heuristic kalman algorithm, human resource management
Published in DKUM: 06.06.2019; Views: 1134; Downloads: 348
Full text (1,41 MB)