Gürkan Sin
Researcher Next ID · RN-038894
Researcher · Biochemistry, Genetics and Molecular Biology
Technical University of Denmark
Kongens Lyngby, Denmark
- Works count
- 472
- Citation count
- 8,480
- H-index
- 47
- i10-index
- 179
Research interests
Publications
Optimal design and operation of an Organic Rankine Cycle (ORC) system driven by solar energy with sensible thermal energy storage
Energy Conversion and Management · 2021 · https://doi.org/10.1016/j.enconman.2021.114494
Integrated Model for Understanding N 2 O Emissions from Wastewater Treatment Plants: A Deep Learning Approach
Environmental Science & Technology · 2021 · https://doi.org/10.1021/acs.est.0c05231
A review of control strategies for manipulating the feed rate in fed-batch fermentation processes
Journal of Biotechnology · 2017 · https://doi.org/10.1016/j.jbiotec.2017.01.008
Mechanistic Fermentation Models for Process Design, Monitoring, and Control
Trends in biotechnology · 2017 · https://doi.org/10.1016/j.tibtech.2017.07.002
Group-contribution+ (GC+) based estimation of properties of pure components: Improved property estimation and uncertainty analysis
Fluid Phase Equilibria · 2012 · https://doi.org/10.1016/j.fluid.2012.02.010
State‐of‐the‐art and progress in the optimization‐based simultaneous design and control for chemical processes
AIChE Journal · 2012 · https://doi.org/10.1002/aic.13786
Estimation of Environment-Related Properties of Chemicals for Design of Sustainable Processes: Development of Group-Contribution+ (GC+) Property Models and Uncertainty Analysis
Journal of Chemical Information and Modeling · 2012 · https://doi.org/10.1021/ci300350r
Multienzyme-Catalyzed Processes: Next-Generation Biocatalysis
Organic Process Research & Development · 2010 · https://doi.org/10.1021/op1002159
Global sensitivity analysis in wastewater treatment plant model applications: Prioritizing sources of uncertainty
Water Research · 2010 · https://doi.org/10.1016/j.watres.2010.08.025
Application of mechanistic models to fermentation and biocatalysis for next-generation processes
Trends in biotechnology · 2010 · https://doi.org/10.1016/j.tibtech.2010.03.006
Wastewater treatment modelling: dealing with uncertainties
Water Science & Technology · 2009 · https://doi.org/10.2166/wst.2009.225
Uncertainty analysis in WWTP model applications: A critical discussion using an example from design
Water Research · 2009 · https://doi.org/10.1016/j.watres.2009.03.048
Good modeling practice for PAT applications: Propagation of input uncertainty and sensitivity analysis
Biotechnology Progress · 2009 · https://doi.org/10.1002/btpr.166
Modelling nitrite in wastewater treatment systems: a discussion of different modelling concepts
Water Science & Technology · 2008 · https://doi.org/10.2166/wst.2008.485
Multi-criteria evaluation of wastewater treatment plant control strategies under uncertainty
Water Research · 2008 · https://doi.org/10.1016/j.watres.2008.05.029
Simple modification to describe the soil water retention curve between saturation and oven dryness
Water Resources Research · 2006 · https://doi.org/10.1029/2005wr004699
A new approach for modelling simultaneous storage and growth processes for activated sludge systems under aerobic conditions
Biotechnology and Bioengineering · 2005 · https://doi.org/10.1002/bit.20741
A critical comparison of systematic calibration protocols for activated sludge models: A SWOT analysis
Water Research · 2005 · https://doi.org/10.1016/j.watres.2005.05.006
Transient response of aerobic and anoxic activated sludge activities to sudden substrate concentration changes
Biotechnology and Bioengineering · 2004 · https://doi.org/10.1002/bit.20032
A COMPREHENSIVE MODEL CALIBRATION PROCEDURE FOR ACTIVATED SLUDGE MODELS
Proceedings of the Water Environment Federation · 2003 · https://doi.org/10.2175/193864703784639615
Current projects
No projects listed.