Life Cycle Assessment Modelling of Solid Waste SystemsTechnical University of DenmarkGeneral course objectives: Waste management is an important part of everyday life. The environmental impacts from waste management also carry a significant load if not carried out properly, and it is important to be able to quantify how big the impact from this sector is. Waste life cycle assessment is considered as one of the most effective tools for getting a better understanding of the environmental aspects originating from the waste management sector. The aim is to provide to the participant necessary skills and expertise to perform a Life Cycle Assessment of a waste management system. This will include an analysis of the technical system, its impact assessment and overall evaluation. The aim of this course is also to demonstrate the importance of sensitivity analysis and communication of results within the framework of the EASETECH model. Learning objectives: A student who has met the objectives of the course will be able to:
Contents: The course is targeted to PhD students who aim to apply life cycle assessment to specific waste technologies or waste management systems for systematic evaluation of their environmental performances. The course includes an introduction to LCA modelling of waste technologies and energy systems as well as exercises involving building and assessing an integrated waste management system with the LCA-software EASETECH. Introductory lectures are provided in relation to: LCA principles, waste generation and composition, source-segregation, collection, material recovery/recycling, bio-treatments (composting, digestion), landfilling, thermal treatment, management of residuals (e.g. use-on-land, combustion), material/substance/energy flow analysis, life cycle inventory data, data uncertainties, and interpretation of results. Students apply the introduced concepts in a range of exercises leading to a full LCA scenario of an integrated waste management system. An understanding of the importance of sensitivity and uncertainty assessment will also be a part of the course. After the course, an extended abstract is submitted summarizing the LCA modelling of a selected system or technology. |
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