| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Sin, Gürkan
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (9/9 displayed)
- 2023Mechanistic modeling of industrial fermentation processes for antibiotic production
- 2022DeepGSA: Plant Data-Driven Global Sensitivity Analysis using Deep Learningcitations
- 2019A Simulation-Based Superstructure Optimization Approach for Process Synthesis and Design Under Uncertainty
- 2018Property Prediction of Pharmaceuticals for Designing of Downstream Separation Processescitations
- 2017Powder stickiness in milk drying: uncertainty and sensitivity analysis for process understandingcitations
- 2013Applying mechanistic models in bioprocess development.citations
- 2013Applying mechanistic models in bioprocess development.citations
- 2013Efficient Information and Data Management in Synthesis and Design of Processing Netorks
- 2013Early stage design and analysis of biorefinery networks
Places of action
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document
Early stage design and analysis of biorefinery networks
Abstract
Recent work regarding biorefineries resulted in many competing concepts and technologies for conversion of renewable bio-based feedstock into many promising products including fuels, chemicals, materials, etc. The design of a biorefinery process requires, at its earlier stages, the selection of the process configuration which exhibits the best performances, for a given set of economical, technical and environmental criteria. To this end, we formulate a computer-aided framework as an enabling technology for early stage design and analysis of biorefineries. The tool represents different raw materials, different products and different available technologies and proposes a conceptual (early stage) biorefinery network. This network can then be the basis for further detailed and rigorous model-based studies. In this talk, we demonstrate the application of the tool for generating an early stage optimal biorefinery concept for a lignocellulosic biorefinery. More specifically we highlight the required information management (management of various sources of data), the superstructure which is needed to represent the design space, generic but simple models covering all the processing steps of biorefineries, and the formulation and solution of an MINLP problem to identify the optimal processing route for multiple raw materials and products. Finally, economic, sustainability and LCA analysis are performed.