Resumen
The assessment of emissions caused by logistics operations in general and their allocation to individual customers is a major challenge for logistics service providers. Presently, numerous standards and guidelines exist (e.g. ISO 14064-1, ISO 14065, DIN EN 14040) for the calculation of GHG-emissions caused by logistics processes. Due to missing or incomplete approaches, the assessments as well as regular updates are quite expensive and time-consuming. This endangers in particular the competitiveness of sme logistics service providers who need to gather and provide the relevant information for their clients. To support sme-logistics services providers by calculating and allocating GHG-emissions, a CO2-method kit has been developed, which was implemented in MS Excel. This method kit consists of various demonstrator-tools for each mode of transport and stationary processes in logistics systems. Even complex transport chains can be illustrated with this CO2-method kit as well. Overall, the method kit offers a pragmatic solution for everyday business. The underlying calculation methods determine the energy consumption, CO2- and CO2- emissions, distinguished between Tank-to-Wheel and Well-to-Wheel. Based on the resulting greenhouse gas values, logistics companies can now identify and carry out appropriate measures to reduce their CO2-emissions. The existing method kit is currently extended to include the determination of GHG-emissions of handling operations in multimodal container Terminals. An in-depth analysis of terminal handling operations as well as an analysis of influencing factors on resource energy consumption was needed to develop the CO2-method kit extension. As a first step, the layout and load data were analyzed to picture existing terminal types as well as the distribution of job orders for the observed period. In addition, crane cycle were deconstructed into sub-processes and transferred into standard processes. Following, container, weight and distance classes were defined for the assessment of the power consumption data. The power consumption data was collected by measurement devices attached directly to the cranes. In course of the evaluation the measured values were accurately assigned against the crane movements and processed orders in the period under review. Finally, average energy consumption values for crane cycles were determined for the defined container and distance classes, based on selected indicators. By data analyses, average energy consumption values can be assigned to container handling operations in terminals, taking into consideration of e.g. terminal layouts, container or weight characteristics. Furthermore, the examinations show that the influence of the covered route on the total energy consumption of a crane cycle is slightly higher than the influence of the container weight. Further results and identified dependencies (e.g. influence of the container classes or terminal layout) are shown in this paper. This paper presents results of the research project ?Enhancement of the CO2-method kit for an exact determination of environmental effects in terminals?. The aim of the research is to enhance the CO2-method kit with a terminal demonstrator-tool to empower sme logistic service provider to determine GHG-emissions of handling operations in multimodal container Terminals. Therefore, power consumption measurements have been carried out and terminal input data has been analyzed.