Short CV
Ayse Dilan joined the RENESENG project as a Marie Curie Early Stage Researcher in 2014. Her project is titled as “Methodology of the design of integrated industrial biorefinery concepts”. She received her B.Sc. degree from Chemical Engineering from Hacettepe University, Turkey in 2012. Her undergraduate studies focused primarily on polymer science and petrochemical engineering. In 2014, she received her M.Sc. degree in Chemical and Biological Engineering from Koc University, Turkey. Her master’s studies involved “Kinetic Modelling of an Industrial Diesel Hydroprocessing Plant” and were funded by an industrial partner, TUPRAS (Turkish Petroleum Refineries Co.) under supervision of Prof. Yaman Arkun. In the scope of this project, she was entirely responsible for kinetic modelling of the hydrotreating and hydrocracking reactors. Her research mainly focused on building an appropriate model for simulation of input-output behavior of the reactors system by understanding the kinetics of reactions inside the reactors in MATLAB environment. She is currently pursuing her Ph.D. at the Industrial Process and Energy Systems Engineering (IPESE) research group at Ecole Polytechnique Fédérale de Lausanne, Switzerland under the supervision of Prof. François Maréchal jointly with Dr. Adriano V. Ensinas. Her main research interests are process modelling and optimization in biorefinery systems, process integration, computer aided energy conversion systems analysis and process synthesis methodologies.
Objective
The aim of this work is to develop a computer aided platform to analyse different biorefinery concepts. The platform will do the process design and optimization simultaneously under ecological or economic aspects (e.g. Process Integration, Life Cycle Analysis).
Current Status
Current focus is on development of optimal mass and energy integration algorithms for process synthesis and unit designs in large scale biorefining systems. Systematic process design methodology has been applied to a lignocellulosic biorefinery which utilizes the wood feedstock to produce C5, C6 and lignin platforms of different bio-based fuels and chemicals. A superstructure of different pathways of woody biomass conversion into fuels and valuable chemicals has been implemented into a computer aided platform, LuaOSMOSE (software developed by EPFL) for identification of most promising technologies and optimum configuration and sizes of process units. Thermo-environomic optimisation methodology has been performed to obtain a comparison in terms of energy efficiency, economic performance and environmental impact.
Future 6-months Plan
Multi-objective optimization technique will be carried out with conflicting objectives such as environmental impacts and total cost of the biorefinery system to show the trade-offs.
Secondments
• Academic secondment 1: DTU (3 months)
• Academic secondment 1: NTUA (3 months)
• Industrial secondment 1: Quantis (3 months)
Publications - Conferences
Annex
Fellow
ESR 2.1 |
Host institution
EPFL - PhD enrolment: Y Title PhD form EPFL |
Duration
36 months |
Start date
M2 |
| Project title : Methodology of the design of integrated industrial biorefinery concepts. Work packages : WP1, WP2, WP4, WP5, WP6. Supervisor name: Prof Francois Marechal (EPFL) or someone with the same level of expertise and /or experience. |
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Objectives: To develop a methodology and the corresponding software tools to optimize the large scale process integration of biorefinery concepts and to validate these on examples.
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Tasks and methodology: Using the models for the unit operations studied in WP1 and the life cycle impact assessment objectives as studied in WP4, ESR will study the process synthesis methodology to integrate bioprocessing process units in large scale biorefining industrial systems and validate the method based on the examples of WP5. The developed method are embedded into a computer frame work (WP6).
- Characterize the process unit energy requirement from the modeling blocks developed in WP1 and define its software implementation using the standards developed in T1.4
- Develop the process integration model of the biorefinery, considering the derivation of the heat transfer interface of the process units together with automated combined heat and mass transfer superstructure models.
- Implement the concepts of mass and energy integration based on optimisation techniques
- Study the adaptation of the method for retrofit situation by injecting biorefinery concepts in existing plants.
- Study of the Integration of waste treatment and energy conversion technologies and analysing trade-offs between waste management, combustion and co-generation options as well as the possible integration of other renewable energy sources (like solar/geothermal heat or renewable electricity) to increase the productivity of the bioresource.
- Development of superstructure based large scale process integration and optimization methods will be applied to develop process schemes for recycling, energy conversion, and waste conversion into new products
- Integrate carbon footprint and overall environmental/sustainability indicators for biorefinery concepts based on the use of life cycle indicators developed under WP4.
- Application of multi-objective optimisation method and multi-criteria analysis methods to generate and compare biorefinery concepts
- Validation of the methodology on test cases of WP 5.
- Integration of the method in a computer aided platform for biorefinery development (WP6)
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| Results: A comprehensive synthesis methodology to integrate bioprocessing process units in large scale biorefining industrial systems. A combination of computational and thermodynamic tools that offer powerful support to design new biorefineries or upgrade existing ones. |
| Dissemination: Three journal papers are expected from the thesis, ESR will participate to scientific conferences. |
Planned secondment:
- NTUA, duration : 3 months, purpose : integration of the process units bio-refineries models, co-supervision of the thesis
- DTU , Duration : 3 months, purpose : integration of the biorefinery system design with emphasis on separation systems design.
- QUANTIS, duration : 3 months, purpose : integration of the Life cycle impact assessment indicators evaluation. Interoperability with the QUANTIS webtool.
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| Risk assessment : The major risk is in the interoperation between the different software tools used for process modelling WP1 and for life cycle impact assessment |
