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Antonis C. Kokossis
Researcher at National Technical University of Athens
Publications - 181
Citations - 3668
Antonis C. Kokossis is an academic researcher from National Technical University of Athens. The author has contributed to research in topics: Biorefinery & Process design. The author has an hindex of 32, co-authored 177 publications receiving 3437 citations. Previous affiliations of Antonis C. Kokossis include University of Surrey & Princeton University.
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Wastewater minimisation of industrial systems using an integrated approach
TL;DR: In this paper, an integrated methodology for the design of industrial water systems is proposed based on a decomposition scheme for the optimisation of a superstructure model that includes all the possible features of a design.
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Optimization of complex reactor networks—I. Isothermal operation
TL;DR: In this paper, the synthesis problem of complex nonisothermal reaction networks is addressed, where the authors focus on developing a superstructure of alternatives for the non-isothermal reactor system, and subsequently formulate and solve the problem according to the proposed general structure.
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Conceptual optimisation of utility networks for operational variations—I. targets and level optimisation
TL;DR: In this paper, the authors introduce a targeting model and procedures to analyse existing design options ahead of design, which can be used for setting realistic targets for shaftwork at the early stages of design and for selecting the steam levels that maximise the potential for power cogeneration.
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Automated design of total water systems
TL;DR: An automated method for the design of total water systems is developed in this paper, which combines engineering insights with mathematical programming tools based on a superstructure model that results in a mixed-integer nonlinear programming problem.
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On the use of systems technologies and a systematic approach for the synthesis and the design of future biorefineries
Antonis C. Kokossis,Aidong Yang +1 more
TL;DR: The paper highlights the pivotal role of systems technology to foster innovation, preview options, and support high-throughput computational experimentation, arguing that systems tools are largely under-deployed.