| Next frontiers in energy system modelling: A review on challenges and the state of the art M Fodstad, PC del Granado, L Hellemo, BR Knudsen, P Pisciella, ... Renewable and Sustainable Energy Reviews 160, 112246, 2022 | 103 | 2022 |
| Hydrogen and the decarbonization of the energy system in Europe in 2050: A detailed model-based analysis GS Seck, E Hache, J Sabathier, F Guedes, GA Reigstad, J Straus, ... Renewable and Sustainable Energy Reviews 167, 112779, 2022 | 68 | 2022 |
| Nanoparticulate tungsten oxide for catalytic epoxidations C Hammond, J Straus, M Righettoni, SE Pratsinis, I Hermans Acs Catalysis 3 (3), 321-327, 2013 | 48 | 2013 |
| On combining self-optimizing control and extremum-seeking control–applied to an ammonia reactor case study J Straus, D Krishnamoorthy, S Skogestad Journal of Process control 78, 78-87, 2019 | 31 | 2019 |
| Moving toward the low-carbon hydrogen economy: Experiences and key learnings from national case studies GA Reigstad, S Roussanaly, J Straus, R Anantharaman, R de Kler, ... Advances in Applied Energy 8, 100108, 2022 | 28 | 2022 |
| Surrogate model generation using self-optimizing variables J Straus, S Skogestad Computers & Chemical Engineering 119, 143-151, 2018 | 13 | 2018 |
| Minimizing the complexity of surrogate models for optimization J Straus, S Skogestad Computer Aided Chemical Engineering 38, 289-294, 2016 | 13 | 2016 |
| Applying endogenous learning models in energy system optimization JA Ouassou, J Straus, M Fodstad, G Reigstad, O Wolfgang Energies 14 (16), 4819, 2021 | 12 | 2021 |
| A new termination criterion for sampling for surrogate model generation using partial least squares regression J Straus, S Skogestad Computers & Chemical Engineering 121, 75-85, 2019 | 12 | 2019 |
| Self-optimizing control in chemical recycle processes J Straus, S Skogestad IFAC-PapersOnLine 51 (18), 536-541, 2018 | 9 | 2018 |
| Use of latent variables to reduce the dimension of surrogate models J Straus, S Skogestad Computer Aided Chemical Engineering 40, 445-450, 2017 | 9 | 2017 |
| Introducing global learning in regional energy system models J Straus, JA Ouassou, O Wolfgang, GA Reigstad Energy Strategy Reviews 38, 100763, 2021 | 7 | 2021 |
| Economic NMPC for heat-integrated chemical reactors J Straus, S Skogestad 2017 21st International Conference on Process Control (PC), 309-314, 2017 | 7 | 2017 |
| A Novel Concept for Sustainable Food Production Utilizing Low Temperature Industrial Surplus Heat A Reyes-Lúa, J Straus, VT Skjervold, G Durakovic, TS Nordtvedt Sustainability 13 (17), 9786, 2021 | 6 | 2021 |
| Low Temperature Applications for CO2 Capture in Hydrogen Production D Kim, D Berstad, R Anantharaman, J Straus, TA Peters, T Gundersen Computer Aided Chemical Engineering 48, 445-450, 2020 | 6 | 2020 |
| The impact of methane leakage on the role of natural gas in the European energy transition B Shirizadeh, M Villavicencio, S Douguet, J Trüby, C Bou Issa, GS Seck, ... Nature Communications 14 (1), 5756, 2023 | 5 | 2023 |
| Control of the steady-state gradient of an ammonia reactor using transient measurements H Bonnowitz, J Straus, D Krishnamoorthy, E Jahanshahi, S Skogestad Computer Aided Chemical Engineering 43, 1111-1116, 2018 | 5 | 2018 |
| Novel approach for low CO 2 intensity hydrogen production from natural gas J Straus, VT Skjervold, R Anantharaman, D Berstad Sustainable Energy & Fuels 6 (21), 4948-4961, 2022 | 4 | 2022 |
| Hydrogen for Europe-final report of the pre-study GA Reigstad, P Coussy, J Straus, C Bordin, S Jaehnert, SØ Størset, B Ruff SINTEF Rapport, 2019 | 2 | 2019 |
| Combining self-optimizing control and extremum-seeking control–Applied to ammonia reactor case study D Krishnamoorthy, J Straus, S Skogestad Proceedings of AIChE Annual Meeting, 2017 | 2 | 2017 |
