| Working fluid selection for organic Rankine cycles–Impact of uncertainty of fluid properties J Frutiger, J Andreasen, W Liu, H Spliethoff, F Haglind, J Abildskov, G Sin Energy 109, 987-997, 2016 | 49 | 2016 |
| A Comprehensive Methodology for Development, Parameter Estimation, and Uncertainty Analysis of Group Contribution Based Property Models An Application to the Heat of Combustion J Frutiger, C Marcarie, J Abildskov, G Sin Journal of Chemical & Engineering Data 61 (1), 602-613, 2016 | 36 | 2016 |
| Group-contribution based property estimation and uncertainty analysis for flammability-related properties J Frutiger, C Marcarie, J Abildskov, G Sin Journal of hazardous materials 318, 783-793, 2016 | 24 | 2016 |
| A framework for the environmental, health and safety hazard assessment for amine-based post combustion CO2 capture S Badr, J Frutiger, K Hungerbuehler, S Papadokonstantakis International Journal of Greenhouse Gas Control 56, 202-220, 2017 | 19 | 2017 |
| Uncertainty assessment of equations of state with application to an organic Rankine cycle J Frutiger, I Bell, JP O'Connell, K Kroenlein, J Abildskov, G Sin Molecular Physics 115 (9-12), 1225-1244, 2017 | 18 | 2017 |
| Global sensitivity analysis of computer-aided molecular design problem for the development of novel working fluids for power cycles J Frutiger, J Abildskov, G Sin Computer Aided Chemical Engineering 38, 283-288, 2016 | 10 | 2016 |
| Forbedring af industrielle processers energieffektivitet S Cignitti, J Frutiger, B Zühlsdorf, F Bühler, JG Andreasen, F Müller, ... Dansk Kemi 97 (10), 10-12, 2016 | 8 | 2016 |
| Reverse engineering of working fluid selection for industrial heat pump based on Monte Carlo sampling and uncertainty analysis J Frutiger, B Zühlsdorf, B Elmegaard, J Abildskov, G Sin Industrial & Engineering Chemistry Research 57 (40), 13463-13477, 2018 | 6 | 2018 |
| The Monte Carlo driven and machine learning enhanced process simulator MN Jones, J Frutiger, NG Ince, G Sin Computers & Chemical Engineering 125, 324-338, 2019 | 5 | 2019 |
| A water treatment case study for quantifying model performance with multilevel flow modeling EK Nielsen, MV Bram, J Frutiger, G Sin, M Lind Nuclear Engineering and Technology 50 (4), 532-541, 2018 | 5 | 2018 |
| Modelling and validating a deoiling hydrocyclone for fault diagnosis using multilevel flow modeling EK Nielsen, MV Bram, J Frutiger, G Sin, M Lind International Symposium on Future Instrumentation & Control for Nuclear …, 2017 | 5 | 2017 |
| Outlier treatment for improving parameter estimation of group contribution based models for upper flammability limit J Frutiger, J Abildskov, G Sin Computer Aided Chemical Engineering 37, 503-508, 2015 | 5 | 2015 |
| Uncertainty in the prediction of the thermophysical behavior of new halogenated working fluids ME Mondejar, J Frutiger, S Cignitti, J Abildskov, G Sin, JM Woodley, ... Fluid Phase Equilibria 485, 220-233, 2019 | 4 | 2019 |
| Puncture of an import gasoline pipeline—Spray effects may evaporate more fuel than a Buncefield-type tank overfill event FH Hedlund, JB Pedersen, G Sin, FG Garde, EK Kragh, J Frutiger Process Safety and Environmental Protection 122, 33-47, 2019 | 4 | 2019 |
| From property uncertainties to process simulation uncertainties–Monte Carlo methods in SimSci PRO/II process simulator J Frutiger, M Jones, NG Ince, G Sin Computer Aided Chemical Engineering 44, 1489-1494, 2018 | 4 | 2018 |
| Computer-aided molecular product-process design under property uncertainties–A Monte Carlo based optimization strategy J Frutiger, S Cignitti, J Abildskov, JM Woodley, G Sin Computers & Chemical Engineering 122, 247-257, 2019 | 3 | 2019 |
| Monte Carlo based framework to support HAZOP study M Danko, J Frutiger, Ľ Jelemenský, G Sin Computer Aided Chemical Engineering 40, 2233-2238, 2017 | 3 | 2017 |
| Svovlsyres fortyndingsvarme FH Hedlund, J Frutiger, G Sin Dansk Kemi 99 (3), 16-20, 2018 | 2 | 2018 |
| Using MFM methodology to generate and define major accident scenarios for quantitative risk assessment studies X Hu, Z Wu, M Lind, J Wu, X Zhang, J Frutiger, G Sin Computer Aided Chemical Engineering 40, 589-594, 2017 | 2 | 2017 |
| Covariance-based uncertainty analysis of reference equations of state H Cheung, J Frutiger, IH Bell, J Abildskov, G Sin, S Wang Journal of Chemical & Engineering Data 65 (2), 503-522, 2020 | 1 | 2020 |
Gürkan SinProfessor, PROSYS research center, Department of Chemical and Biochemical EngineeringVerified email at kt.dtu.dk
