Modelling Dry Port Systems in the Framework of Inland Waterway Container Terminals

Kovač, Milovan; Tadić, Snežana; Krstić, Mladen; Roso, Violeta

doi:10.32604/cmes.2023.027909

Cited by 3 publications

(4 citation statements)

References 63 publications

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“…(1) Electrical power balance P grid + P WT + P PV + P FC + P CCHP + P GT = P WT loss + P PV loss + P load + P ship + P crane + P P2H (26) where P grid , P WT , P PV , P FC , P CCHP , P GT and P WT loss , P PV loss , P load , P ship , P crane , P P2H are, respectively, the power of main power grid, wind turbine, photovoltaic, FC, CCHP, GT, and abandoned wind and photovoltaic power, civilian power load, ship shore power, quay crane load, and P2H power.…”

Section: Balance Modelmentioning

confidence: 99%

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Energy–Logistics Cooperative Optimization for a Port-Integrated Energy System

Mo,

Zhang,

Xiong

et al. 2024

Mathematics

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In order to achieve carbon peak and neutrality goals, many low-carbon operations are implemented in ports. Integrated energy systems that consist of port electricity and cooling loads, wind and PV energy devices, energy storage, and clean fuels are considered as a future technology. In addition, ports are important hubs for the global economy and trade; logistics optimization is also part of their objective, and most port facilities have complex logistics. This article proposes an energy–logistics collaborative optimization method to fully tap the potential of port-integrated energy systems. A logistics–energy system model is established by deeply examining the operational characteristics of logistics systems and their corresponding energy consumption patterns, considering ships’ operational statuses, quay crane distribution constraints, and power balances. To better represent the ship–energy–logistics optimization problem, a hybrid system modeling technique is employed. The case of Shanghai Port is studied; the results show that costs can be reduced by 3.27% compared to the traditional optimization method, and a sensitivity analysis demonstrates the robustness of the proposed method.

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Section: Balance Modelmentioning

confidence: 99%

“…Song et al [25] propose a joint berth allocation and dock crane allocation model. Kovač et al [26] aim to minimize the total service time of fully electric ships and developed an optimal berth allocation model, which is solved using the particle swarm optimization method.…”

Section: Introductionmentioning

confidence: 99%

Energy–Logistics Cooperative Optimization for a Port-Integrated Energy System

Mo,

Zhang,

Xiong

et al. 2024

Mathematics

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“…Between a UCC and city-DP MCCs, regular shuttle lines with larger transportation vehicles would be established. Considering the establishment of regular transportation links (shuttle lines) between UCCs and city-DP MCCs, and the fact that the UCC is located at the riverbank, the similarity with the DP concept in the framework of inland waterway container terminals [21] is obvious. Having this in mind, city-DP MCCs could be considered as UCC subsystems but within the urban hinterland.…”

Section: City Logistics Concepts Based On City-dp Mccsmentioning

confidence: 99%

“…Analogously with the existing literature in the domain of dry port (DP) terminals [20], which serve as physically dislocated subsystems of sea or river ports, in concepts that revolve around UCCs located on riverbanks, the MCCs would serve as city-dry ports (city-DPs). In other words, city-DP MCCs, as a subsystem of a UCC located at a riverbank, are equivalent to DP terminals in the framework of inland waterway (river) container terminals [21]-but in the context of an urban area. The second research hypothesis states that it is possible to develop a robust methodology that considers all relevant tactical and operational-level planning questions for planning such concepts and considers qualitative and quantitative criteria in evaluating different concept variants.…”

Section: Introductionmentioning

confidence: 99%

A Methodology for Planning City Logistics Concepts Based on City-Dry Port Micro-Consolidation Centres

Kovač,

Tadić,

Krstić

et al. 2023

Mathematics

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The purpose of this study is to conceptualize a novel idea of potentially sustainable city logistics concepts—the development of urban consolidation centers (UCCs) on riverbanks and the establishment of city-dry port (DP) micro-consolidation centers (MCCs) as their displaced subsystems within the delivery zone. The concept enables the application of river transportation in delivering goods to the UCC, where the modal shift to electric delivery vehicles takes place for delivering goods to city-DP MCCs. In the final delivery phase (from city-DP MCCs to flow generators), smaller eco-vehicles are utilized. An innovative methodology for the planning and selection of the most sustainable concept variant is developed. The methodology combines mathematical programming and the axial-distance-based aggregated measurement (ADAM) multi-criteria decision-making (MCDM) method. The application of the defined approach is demonstrated in a case study inspired by Belgrade, Serbia. The theoretical contribution of this study is in demonstrating how a wide set of potentially viable city logistics concepts can be defined, starting from an initial idea (city-DP MCC). The practical contribution lies in developing a robust methodology that considers all relevant tactical and operational-level planning questions and takes into account qualitative and quantitative criteria in evaluating different concept variants.

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New Approach to Formalize Hybrid Systems in Models for Managing the Vessel Unloading Process

Nikolaieva

2024

Preprint

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Modelling Dry Port Systems in the Framework of Inland Waterway Container Terminals

Cited by 3 publications

References 63 publications

Energy–Logistics Cooperative Optimization for a Port-Integrated Energy System

Energy–Logistics Cooperative Optimization for a Port-Integrated Energy System

A Methodology for Planning City Logistics Concepts Based on City-Dry Port Micro-Consolidation Centres

New Approach to Formalize Hybrid Systems in Models for Managing the Vessel Unloading Process

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