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3 ENERGY-EFFICIENT PROCESSES INREFF 3.12.3 Results In summary, the research and development work set out in the project pro- posal was carried out successfully by the project partners. From a methodo- logical perspective, a broad-based concept for integrated resource efficiency analysis was developed in which integration is achieved primarily by model- ling the relevant material flow networks. Based on this concept, a prototype infrastructure for methodological integration was created using the soft- ware platform Umberto NXT5 developed by ifu GmbH of Hamburg. Application-independent interfaces were designed for the modelling plat- form for the set of process analysis methods identified above and were then implemented using common software tools (e.g. the flow sheet simulation software CHEMCAD6, the heat integration software PinCH7 and the opti- misation tool Lingo8). This interface development work established a very positive collaboration between ifu Hamburg and the suppliers of specialist process engineering software that has continued beyond the InReff project. Following multiple iterations, the software tools were adapted to create pro- totype add-ons (CHEM-CAD Connector, Heat Integration Connector and Optimizer) that were used during the project period by the partners in the process industry. The data acquired using the special process software tools can then be transferred back to the modelling platform, where it can be pro- cessed and analysed further using methods such as LCA or MFCA and can be visualised by means of Sankey diagrams. These software tools therefore support the overall aim of creating a comprehensive, broad-based approach to resource-efficiency analysis. One interesting byproduct from the materials flow optimisation work should also be mentioned: the prototype tool ‘Optimizer’ already enables mathematical optimisation problems to be specified interactively in graph- ical form. In addition to its value in resource efficiency analysis, this mod- elling approach may help to increase levels of acceptance of mathematical optimisation methods among industrial users. In addition to the software engineering results, the realworld case studies offered the opportunity to gain experience in providing resource efficiency and sustainability advisory services and enabled specific areas of improve- ment to be identified. For example, the modelling of a stacked ring dryer at Huntsman P&A Germany indicated that energy consumption could be reduced by 18%, which is equivalent to reducing carbon emissions by about 1000 metric tons of CO2 per year. Applying the optimisation tool to the tungsten production operations at H.C. Starck GmbH showed that emissions 266PDF Image | Chemical Processes and Use of CO2
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