Abstract

The container transport is the key factor for globalized markets. Due to this the shipping volume in the past 20 years grew by the factor of 5. Based on this, container terminals are very important transshipment facilities in global transport chains with a high amount of annual throughput and greenhouse gas (GHG) emissions. The transport sector is responsible for a large proportion of GHG emissions. An increase of traffic and GHG emissions for any transport mode is estimated. However, emissions are caused by transport modes and transshipment facilities and have to be reduced for both. State of the Art methods of determining transportation caused emissions consider only transportation modes. Emissions in transshipment facilities were currently rarely applied. However, for calculating emissions along the entire transport chain, the emissions from transshipment facilities have to be taken into account. Furthermore the reduction of greenhouse gases is significant for both the terminal itself and for the entire transport chain. Derived from existing standards for calculation of GHG emission a calculation tool for container terminals has been developed. Based on the energy consumption of the handling equipment and storage facilities the tool calculates the overall emissions in terminals. Furthermore, these emissions are allocated to loading units by using overall handling data and handling factors. The developed tool can be adapted to any multimodal container terminal. The calculated results of the tool include total emissions and the allocation of emissions on loading units.

Abstract

TU Dortmund University developed a simulation suite for the Container Terminal Dortmund GmbH seated in the largest inland port in Europe located in Dortmund. This suite focuses on modelling processes, resources and strategies for container terminals and enables to optimize a terminal with simulation. The aim is to optimize the terminal by determining the best mix of operating strategies for crane control, stacking area, handling area and resource management. To achieve this, the current situation of the terminal and different future scenarios for operating the terminal were modelled with the simulation suite.