http://dl.gi.de/handle/20.500.12116/23848 Thu, 23 Jul 2026 17:55:01 GMT 2026-07-23T17:55:01Z http://dl.gi.de/handle/20.500.12116/26552 Neue Aussagequalitäten der Stoffflußanalyse durch die Kombination mit Szenariotechnik und Parametervariation Volz, Thorsten; Florin, H.; Wiedemann, M.; Eyerer, P. Haasis, H.-D.; Ranze, K.C. Life Cycle Assessment (LCA) in general and Life Cycle Engineering (LCE) in special are well-known and approved tools for the support of decisions in early design and development phases of products, systems or services. Based on a material flow analysis, LCE models the technical, economic and ecological consequences of a life cycle. Since these models include a huge amount of basic data, the use of computers and of special software systems is necessary. Most of the currently available software systems for LCA at least have a graphical component for the capture of material flows, a database with functions for the data management and a component for the calculation and the presentation of balances. But as LCE is a young scientific discipline, there still is a strong demand for functions supporting newest methodological developments (e.g. data quality indicators). The software tool GaBi 3 (IKP, University of Stuttgart and PE Product Engineering GmbH) is available since April 98 and takes this into account. Newest developments of GaBi 3 are the sankey-editor and the parametric process model including non-linear functions. These features are providing more flexibility of modeling and the possibility of parameter variation and scenario analysis. Thu, 01 Jan 1998 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/26552 1998-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/26545 Visualisierung als Werkzeug zur Analyse von Klimasimulationsdaten Böttinger, Michael; Gülzow, Volker; Biercamp, Joachim Haasis, H.-D.; Ranze, K.C. Climate research relies on compute and data intensive simulations, which have become possible during the last two decades. State of the art climate simulations are performed with coupled numerical models of the subsystems ocean, atmosphere, cryosphere and the biosphere. The resulting data sets consist of numerical values for several physical quantities like velocity components, pressure, temperature etc. on regulary grids at discreet time stamps. The analysis of these multi dimensional data sets can only be done by statistical and visual methods. Although 2-D visualization methods are only capable to give information about small slices of the total data volume at a time, they are often very useful and widely used for routine analysis of model data and for the publications of results. For a more detailed visual investigation of the data and in order to study the time dependence of the results more sophisticated approaches are mandatory. 3-D visualization techniques allow the study of the three dimensional structure of physical quantities. Animated 3-D visualizations can show in great depth the trends of even more than one relevant physical property. An even better understanding of the data might be enabled through the skilful use of stereoscopic techniques. Thu, 01 Jan 1998 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/26545 1998-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/26549 Rechnergestützte Systeme zur prospektiven ökologischen Beurteilung von Produkten Atik, Alp; Schulz, Herbert; Pütter, Christian; Anderl, Reiner Haasis, H.-D.; Ranze, K.C. The incorporation of methods and tools for the development of environmentally sound products into design processes is frequently not sufficient. The authors present a solution that integrates a computer aided system into an usual design environment. Product and process data coming from a CAD System is aggregated to an ecological index-score using fuzzy sets. This index-score supports the designer as a simple and certain aid to decision-making accompanying to development process. Thu, 01 Jan 1998 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/26549 1998-01-01T00:00:00Z http://dl.gi.de/handle/20.500.12116/26551 Impact Assessment in Environmental Management Systems Hart, Jim; Hunt, Ian; Shankararaman, Venky Haasis, H.-D.; Ranze, K.C. In this paper we discuss issues relating to Environmental Assessment (EA) within the context of Environmental Management Systems (EMS), and how computer systems can be included in the process. We also introduce a prototype knowledge-based system that we have developed for carrying out EAs in the electronics industry, and discuss the potential for extending this approach. Thu, 01 Jan 1998 00:00:00 GMT http://dl.gi.de/handle/20.500.12116/26551 1998-01-01T00:00:00Z