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Francois Marechal   Professor   
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Francois Marechal published an article in February 2019.
Top co-authors See all
Jiri Klemes

169 shared publications

Sustainable Process Integration Laboratory—SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology, Technická 2896/2,616 00, Brno, Czech Republic

Luis Puigjaner

156 shared publications

ETSEIB, Universitat Politècnica de Catalunya, Barcelona, Spain

Petar Sabev Varbanov

98 shared publications

Sustainable Process Integration Laboratory – SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology - VUT, Brno, Czech Republic

Robin Smith

76 shared publications

Centre for Process Integration, School of Chemical Engineering and Analytical Science, The University of Manchester, Manchester M13 9PL, U.K.

George Tsatsaronis

60 shared publications

Institute for Energy Engineering, Technical University of Berlin, Marchstraße 18, 10587 Berlin, Germany

215
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Publication Record
Distribution of Articles published per year 
(2003 - 2019)
Total number of journals
published in
 
25
 
Publications See all
Article 0 Reads 0 Citations Multi-objective optimization of sorption enhanced steam biomass gasification with solid oxide fuel cell Thanaphorn Detchusananard, Shivom Sharma, François Maréchal,... Published: 01 February 2019
Energy Conversion and Management, doi: 10.1016/j.enconman.2018.12.047
DOI See at publisher website
Article 0 Reads 0 Citations Biomass logistics and environmental impact modelling for sugar-ethanol production Jairo Alexander Lozano-Moreno, François Maréchal Published: 01 February 2019
Journal of Cleaner Production, doi: 10.1016/j.jclepro.2018.10.310
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Article 0 Reads 0 Citations A Cogeneration System Based on Solid Oxide and Proton Exchange Membrane Fuel Cells With Hybrid Storage for Off-Grid Appl... Francesco Baldi, Ligang Wang, Mar Pérez-Fortes, François Mar... Published: 18 January 2019
Frontiers in Energy Research, doi: 10.3389/fenrg.2018.00139
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Solid oxide fuel cells (SOFC) have developed to a mature technology, able to achieve electrical efficiencies beyond 60%. This makes them particularly suitable for off-grid applications, where SOFCs can supply both electricity and heat at high efficiency. Concerns related to lifetime, particularly when operated dynamically, and the high investment cost are however still the main obstacles toward a widespread adoption of this technology. In this paper, we propose a hybrid cogeneration system that attempts to overcome these limitations, in which the SOFC mainly provides the baseload of the system. Introducing a purification unit allows the production and storage of pure hydrogen from the SOFC anode off-gas. The hydrogen can be stored, and used in a proton exchange membrane fuel cell (PEMFC) during peak demands. The SOFC system is completed with a battery, used during periods of high electricity production. We propose the use of a mixed integer-linear optimization framework for the sizing of the different components of the system, and particularly for identifying the optimal trade-off between round-trip efficiency and investment cost of the battery-based and hydrogen-based storage systems. The proposed system is applied and optimized to two case studies: an off-grid dwelling, and a cruise ship. The results show that, if the SOFC is used as the main energy conversion technology of the system, the use of hydrogen storage in combination with a PEMFC and a battery is more economically convenient compared to the use of the SOFC in stand-alone mode, or of pure battery storage. The results show that the proposed hybrid storage solution makes it possible to reduce the investment cost of the system, while maintaining the use of the SOFC as the main energy source of the system.
Article 0 Reads 0 Citations Interactive Optimization With Parallel Coordinates: Exploring Multidimensional Spaces for Decision Support Sébastien Cajot, Nils Schüler, Markus Peter, Andreas Koch, F... Published: 14 January 2019
Frontiers in ICT, doi: 10.3389/fict.2018.00032
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Interactive optimization methods are particularly suited for letting human decision makers learn about a problem, while a computer learns about their preferences to generate relevant solutions. For interactive optimization methods to be adopted in practice, computational frameworks are required, which can handle and visualize many objectives simultaneously, provide optimal solutions quickly and representatively, all while remaining simple and intuitive to use and understand by practitioners. Addressing these issues, this work introduces SAGESSE (Systematic Analysis, Generation, Exploration, Steering and Synthesis Experience), a decision support methodology, which relies on interactive multiobjective optimization. Its innovative aspects reside in the combination of (i) parallel coordinates as a means to simultaneously explore and steer the underlying alternative generation process, (ii) a Sobol sequence to efficiently sample the points to explore in the objective space, and (iii) on-the-fly application of multiattribute decision analysis, cluster analysis and other data visualization techniques linked to the parallel coordinates. An illustrative example demonstrates the applicability of the methodology to a large, complex urban planning problem.
Article 0 Reads 0 Citations Regional waste heat valorisation: A mixed integer linear programming method for energy service companies Alexandre Bertrand, Alberto Mian, Ivan Kantor, Riad Aggoune,... Published: 01 January 2019
Energy, doi: 10.1016/j.energy.2018.10.152
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Article 0 Reads 0 Citations A Review of Evaluation, Optimization and Synthesis of Energy Systems: Methodology and Application to Thermal Power Plant... Ligang Wang, Zhiping Yang, Shivom Sharma, Alberto Mian, Tzu-... Published: 27 December 2018
Energies, doi: 10.3390/en12010073
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To reach optimal/better conceptual designs of energy systems, key design variables should be optimized/adapted with system layouts, which may contribute significantly to system improvement. Layout improvement can be proposed by combining system analysis with engineers’ judgments; however, optimal flowsheet synthesis is not trivial and can be best addressed by mathematical programming. In addition, multiple objectives are always involved for decision makers. Therefore, this paper reviews progressively the methodologies of system evaluation, optimization, and synthesis for the conceptual design of energy systems, and highlights the applications to thermal power plants, which are still supposed to play a significant role in the near future. For system evaluation, both conventional and advanced exergy-based analysis methods, including (advanced) exergoeconomics are deeply discussed and compared methodologically with recent developments. The advanced analysis is highlighted for further revealing the source, avoidability, and interactions among exergy destruction or cost of different components. For optimization and layout synthesis, after a general description of typical optimization problems and the solving methods, the superstructure-based and -free concepts are introduced and intensively compared by emphasizing the automatic generation and identification of structural alternatives. The theoretical basis of the most commonly-used multi-objective techniques and recent developments are given to offer high-quality Pareto front for decision makers, with an emphasis on evolutionary algorithms. Finally, the selected analysis and synthesis methods for layout improvement are compared and future perspectives are concluded with the emphasis on considering additional constraints for real-world designs and retrofits, possible methodology development for evaluation and synthesis, and the importance of good modeling practice.
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