Krist V. Gernaey focuses on Biochemical engineering, Process, Environmental engineering, Process engineering and Benchmark. His biological study spans a wide range of topics, including Bioprocess, Biotechnology, Industrial fermentation, Reliability and Calibration. His studies deal with areas such as Control, Systems engineering and Product as well as Process.
His Environmental engineering research integrates issues from Sensitivity analysis and Nitrification. Krist V. Gernaey interconnects Calibration, Base and Engineering drawing in the investigation of issues within Process engineering. His research in Benchmark intersects with topics in Waste management, Benchmarking, Simulation and State variable.
His main research concerns Process engineering, Environmental engineering, Process, Biochemical engineering and Sewage treatment. His Process engineering research is multidisciplinary, incorporating elements of Scientific method, Production and Granulation. He works on Environmental engineering which deals in particular with Effluent.
Krist V. Gernaey has researched Process in several fields, including Control and Benchmark. Particularly relevant to Activated sludge is his body of work in Sewage treatment. His research combines Environmental chemistry and Activated sludge.
Krist V. Gernaey mostly deals with Process, Biochemical engineering, Process engineering, Pulp and paper industry and Fermentation. In his study, Biomass is inextricably linked to Process control, which falls within the broad field of Process. Krist V. Gernaey regularly ties together related areas like Process design in his Biochemical engineering studies.
The study incorporates disciplines such as Scientific method and Work in addition to Process engineering. In his research, Effluent is intimately related to Activated sludge, which falls under the overarching field of Pulp and paper industry. His Fermentation research includes elements of Biorefinery, State, Yeast, Biosensor and Partial least squares regression.
Krist V. Gernaey spends much of his time researching Biochemical engineering, Computational fluid dynamics, Process, Monte Carlo method and Production. His multidisciplinary approach integrates Biochemical engineering and Nanometrology in his work. The various areas that Krist V. Gernaey examines in his Computational fluid dynamics study include Biomass, Bioreactor, Fluid dynamics, Mathematical model and Finite volume method.
His Process research is multidisciplinary, incorporating perspectives in Operational efficiency, Isolation, Control, Interdependence and Nonlinear system. His research integrates issues of Stochastic process, Reliability engineering, Simulation-based optimization, Energy recovery and Robustness in his study of Monte Carlo method. His study in Production is interdisciplinary in nature, drawing from both Automation, Biomanufacturing and Harmony.
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Activated sludge wastewater treatment plant modelling and simulation: state of the art
Krist V. Gernaey;Mark C. M. van Loosdrecht;Mogens Henze;Morten Lind.
Environmental Modelling and Software (2004)
Assessment of Recent Process Analytical Technology (PAT) Trends: A Multiauthor Review
Levente L. Simon;Hajnalka Pataki;György Marosi;Fabian Meemken.
Organic Process Research & Development (2015)
Benchmark simulation model no 2: general protocol and exploratory case studies
U. Jeppsson;Marie-Noëlle Pons;I. Nopens;J. Alex.
Water Science and Technology (2007)
Nitrification monitoring in activated sludge by oxygen uptake rate (OUR) measurements.
Joanna Surmacz-Gorska;Krist Gernaey;Carl Demuynck;Peter Vanrolleghem.
Water Research (1996)
Benchmark Simulation Model no. 1 (BSM1)
J. Alex;L. Benedetti;J. Copp;K.V. Gernaey.
Benchmarking of Control Strategies for Wastewater Treatment Plants
Krist V. Gernaey;Ulf Jeppsson;Peter A. Vanrolleghem;John B. Copp.
Water intelligence online (2014)
Evaluation of an ASM1 model calibration procedure on a municipal-industrial wastewater treatment plant
Britta Petersen;Krist Gernaey;Mogens Henze;Peter A. Vanrolleghem.
Journal of Hydroinformatics (2002)
Benchmark Simulation Model No 2 – Finalisation of plant layout and default control strategy
Ingmar Nopens;Lorenzo Benedetti;Ulf Jeppsson;Marie-Noëlle Pons.
Water Science and Technology (2010)
Good modeling practice for PAT applications: Propagation of input uncertainty and sensitivity analysis
Gürkan Sin;Krist V. Gernaey;Anna Eliasson Lantz.
Biotechnology Progress (2009)
Towards a benchmark simulation model for plant-wide control strategy performance evaluation of WWTPs.
Ulf Jeppsson;Christian Rosén;J Alex;J Copp.
Water Science and Technology (2006)
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