Publications by Fluids and Energy

Are you looking for publications by Section of Fluids and Energy? On this page you can find all the publications made by the Section of Fluids and Energy - Department of Mechanical and Production Engineerin, Aarhus University.

Below you can find a list of all the publications, their publishing date, their author(s), and title. The list can be sorted by date, author, and title:

List of Publications

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Zinck Thellufsen, J., Lund, H., Vad Mathiesen, B., Thøis Madsen, P., Østergaard, P. A., Nielsen, S., Sorknæs, P., Wenzel, H., Münster, M., Berg Rosendal, M., Madsen, H., Østergaard, J., Morthorst, P. E., Sørensen, P. B., Bruun Andresen, G. & Victoria, M. (2022). Fakta om Atomkraft: Input til en faktabaseret diskussion af fordele og ulemper ved atomkraft som en del af den grønne omstilling i Danmark. https://vbn.aau.dk/ws/portalfiles/portal/491533150/Fakta_om_atomkraft_final.pdf

Zinck Thellufsen, J., Lund, H., Vad Mathiesen, B., Thøis Madsen, P., Østergaard, P. A., Nielsen, S., Sorknæs, P., Wenzel, H., Østergaard, J., Münster, M., Berg Rosendal, M., Madsen, H., Morthorst, P. E., Sørensen, P. B., Bruun Andresen, G., Gøtske, E. K., Pedersen, T. T. & Victoria, M. (2023). Fakta om Atomkraft i Danmark - Version 2: Input til en faktabaseret diskussion af fordele og ulemper ved atomkraft som en del af den grønne omstilling i Danmark. https://vbn.aau.dk/ws/portalfiles/portal/534311584/Fakta_om_atomkraft_V2_FINAL.pdf

Zinck Thellufsen, J., Lund, H., Vad Mathiesen, B., Østergaard, P. A., Sorknæs, P., Nielsen, S., Thøis Madsen, P. & Bruun Andresen, G. (2024). Cost and systems effects of nuclear power in carbon-neutral energy systems. Applied Energy, 371, Article 123705. https://doi.org/10.1016/j.apenergy.2024.123705

Zeyen, E., Victoria, M. & Brown, T. (2023). Endogenous learning for green hydrogen in a sector-coupled energy model for Europe. Nature Communications, 14(1), Article 3743. https://doi.org/10.1038/s41467-023-39397-2

Zeyen, E., Kalweit, S., Victoria, M. & Brown, T. (2025). Shifting burdens: how delayed decarbonisation of road transport affects other sectoral emission reductions. Environmental Research Letters, 20(4), Article 044044. https://doi.org/10.1088/1748-9326/adc290

Zehtabiyan-Rezaie, N., Iosifidis, A. & Abkar, M. (2022). Data-driven fluid mechanics of wind farms: A review. Journal of Renewable and Sustainable Energy, 14(3), Article 032703. https://doi.org/10.1063/5.0091980

Zehtabiyan-Rezaie, N., Iosifidis, A. & Abkar, M. (2023). Physics-Guided Machine Learning for Wind-Farm Power Prediction: Toward Interpretability and Generalizability. PRX Energy, 2(1), Article 013009. https://doi.org/10.1103/PRXEnergy.2.013009

Zehtabiyan-Rezaie, N. & Abkar, M. (2023). A short note on turbulence characteristics in wind-turbine wakes. Journal of Wind Engineering and Industrial Aerodynamics, 240, Article 105504. https://doi.org/10.1016/j.jweia.2023.105504

Zehtabiyan-Rezaie, N. & Abkar, M. (2023). An extended k- ε model for wind-farm simulation. In 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements: Proceedings (pp. 373-378)

Zehtabiyan-Rezaie, N. & Abkar, M. (2024). An extended K-ɛ model for wake-flow simulation of wind farms. Renewable Energy, 222, Article 119904. https://doi.org/10.1016/j.renene.2023.119904

Zehtabiyan-Rezaie, N., Amarloo, A. & Abkar, M. (2024). Secondary flows in the actuator-disk simulation of wind-turbine wakes. Physics of Fluids, 36(4), Article 045142 . https://doi.org/10.1063/5.0203068

Zehtabiyan-Rezaie, N., Perto Justsen, J. & Abkar, M. (2024). Wind-farm power prediction using a turbulence-optimized Gaussian wake model. Wind Energy and Engineering Research, 2, Article 100007. https://doi.org/10.1016/j.weer.2024.100007

Zehtabiyan-Rezaie, N. (2026). From guidance to independence: Scaffolding a diverse group of students. AU Educate. https://educate.au.dk/en/teaching-cases/from-support-to-independence-scaffolding-a-diverse-group-of-students

Zattoni, M., Bontempi, L., Ringgaard, S., Luraghi, G., Benhassen, L. L., Johansen, P. & Colombo, M. (2026). In silico modelling of aortic annuloplasty: hemodynamic assessment through in vitro experiments and in vivo MRI. Computer Methods and Programs in Biomedicine, 277, Article 109246. https://doi.org/10.1016/j.cmpb.2026.109246

Yang, X. I. A., E. S. Chen, P., Hu, R. & Abkar, M. (2022). Logarithmic-Linear Law of the Streamwise Velocity Variance in Stably Stratified Boundary Layers. Boundary-Layer Meteorology, 183(2), 199-213. https://doi.org/10.1007/s10546-021-00683-5

Yang, J., Stroh, A., Chung, D. & Forooghi, P. (2022). Direct numerical simulation-based characterization of pseudo-random roughness in minimal channels. Journal of Fluid Mechanics, 941, Article A47. https://doi.org/10.1017/jfm.2022.331

Yang, H., Ge, M., Abkar, M. & I. A. Yang, X. (2022). Large-eddy simulation study of wind turbine array above swell sea. Energy, 256, Article 124674. https://doi.org/10.1016/j.energy.2022.124674

Yang, J., Stroh, A., Lee, S., Bagheri, S., Frohnapfel, B. & Forooghi, P. (2023). Prediction of equivalent sand-grain size and identification of drag-relevant scales of roughness - a data-driven approach. Journal of Fluid Mechanics, 975, Article A34. https://doi.org/10.1017/jfm.2023.881

Yang, J., Stroh, A., Lee, S., Bagheri, S., Frohnapfel, B. & Forooghi, P. (2024). Assessment of Roughness Characterization Methods for Data-Driven Predictions. Flow, Turbulence and Combustion, 113(2), 275-292. https://doi.org/10.1007/s10494-024-00549-z

Yang, X. I. A., Zhang, W., Abkar, M. & Anderson, W. (2024). Computational fluid dynamics: Its carbon footprint and role in carbon reduction. Journal of Renewable and Sustainable Energy, 16(5), Article 055906. https://doi.org/10.1063/5.0217320

Yang, J., Stroh, A., Bagheri, S., Frohnapfel, B. & Forooghi, P. (2025). Characterization of hydrodynamic and thermal properties of anisotropic irregular roughness. International Journal of Heat and Fluid Flow, 116, Article 109888. https://doi.org/10.1016/j.ijheatfluidflow.2025.109888

Yang, J., Velandia, J., Bansmer, S., Stroh, A. & Forooghi, P. (2023). A comparison of hydrodynamic and thermal properties of artificially generated against realistic rough surfaces. International Journal of Heat and Fluid Flow, 99, Article 109093. https://doi.org/10.1016/j.ijheatfluidflow.2022.109093

Xie, Z. & Andresen, G. B. (2024). Direct and Indirect Hydrogen Storage: Dynamics and Interactions in the Transition to a Renewable Energy Based System for Europe.

Xie, Z. (2025). System Perspectives on Hydrogen in Europe's Renewable Transition. [PhD dissertation, Aarhus University].

Wei, R., Alfaro, E., Wang, T. & Wu, M. (2025). Optimizing In-Situ Strengthening of Low-Strength Porous Mortar Using a Definitive Screening Design Study. Paper presented at The 2nd International Conference on Net-Zero Built Environment: Innovations in Materials, Structures, and Management, Cape Town, South Africa.

Victoria, M., Zeyen, E. & Brown, T. (2022). Speed of technological transformations required in Europe to achieve different climate goals. Joule, 6(5), 1066-1086. https://doi.org/10.1016/j.joule.2022.04.016

Victoria, M., Pullens, J. W. M., Torma, G., Lindhardt, M. K. K., Niazi, K. A. K., Jahangirlou, M. R., El Khoury, Y. V., Aschemann-Witzel, J., Ottosen, C. O. & Jørgensen, U. (2025). Vertical agrivoltaics in a temperate climate: Exploring technical, agricultural, meteorological, and social dimensions. Energy Nexus, 19, Article 100526. https://doi.org/10.1016/j.nexus.2025.100526

Victoria, M., Zhang, Z., Andresen, GB., Rahdan, P. & Gøtske, EK. (2025). Lessons Learned From Establishing a Rooftop Photovoltaic System Crowdsourced by Students and Employees at Aarhus University. Progress in Photovoltaics: Research and Applications, 33(10), 1046-1055. https://doi.org/10.1002/pip.70009

Vadrot, A. F., I. A. Yang, X., Bae, H. J. & Abkar, M. (2023). Log-law recovery through reinforcement-learning wall model for large eddy simulation. Physics of Fluids, 35(5), Article 055122 . https://doi.org/10.1063/5.0147570

Vadrot, A. F., Yang, X. I. A. & Abkar, M. (2023). Survey of machine-learning wall models for large-eddy simulation. Physical Review Fluids, 8(6), Article 064603. https://doi.org/10.1103/PhysRevFluids.8.064603

Tørring, P. & Vestergaard, J. B. (2024). Metanol i Fiskeriet: Milepælsrapport . Aquamind A/S.

Strässle, R. M., Faldella, F. & Doll, U. (2024). Deep learning-based image segmentation for instantaneous flame front extraction. Experiments in Fluids, 65(6), Article 94. https://doi.org/10.1007/s00348-024-03814-z

Søgaard Kristensen, A., Kruse Sørensen, E., Madsen, C., Kristofersson, J. & Forooghi, P. (2023). Performance analysis of heat pumps with zeotropic mixtures at different load conditions. International Journal of Refrigeration, 145, 264-275. https://doi.org/10.1016/j.ijrefrig.2022.09.028

Sibani, P., Rasmussen, S. & Hansen, P. L. (2022). Human wealth evolution is an accelerating expansion underpinned by a decelerating optimization process. Physica A: Statistical Mechanics and its Applications, 608, Article 128286. https://doi.org/10.1016/j.physa.2022.128286

Shi, L., Wang, T. & Shapiro, A. (2026). Investigation of salt precipitation under CO₂-brine displacement in micromodels. Chemical Engineering Research and Design, 227, 279-296. https://doi.org/10.1016/j.cherd.2026.01.046

Schwenk-Nebbe, L. J., Vind, J. E., Backhaus, A. J., Victoria, M. & Greiner, M. (2022). Principal spatiotemporal mismatch and electricity price patterns in a highly decarbonized networked European power system. iScience, 25(6), Article 104380. https://doi.org/10.1016/j.isci.2022.104380

Schäfer, K., Stroh, A., Forooghi, P. & Frohnapfel, B. (2022). Modelling spanwise heterogeneous roughness through a parametric forcing approach. Journal of Fluid Mechanics, 930, Article A7. https://doi.org/10.1017/jfm.2021.850

Sanz-Cuadrado, C., Rahdan, P., Zhang, Z., Victoria, M. & Belén Cristóbal, A. (2026). A New Approach to Assess Individual Contributions to Energy Transition Goals. Energy Policy, 210, Article 115055. https://doi.org/10.1016/j.enpol.2025.115055

Sanz Cuadrado, C., Cristóbal, A. B., Zhang, Z., Rahdan, P. & Victoria, M. (2022). Achieving a New European Energy Awareness (AURORA): Deliverable 1.1 – Near-Zero Emissions Citizens Label. https://www.aurora-h2020.eu/wp-content/uploads/2022/09/D1.1-Near-Zero-Emission-Citizens-Label-PU.pdf

Salavatidezfouli, S., Karstoft, H., Iosifidis, A. & Abkar, M. (2025). Dual guidance: Reduced-order model-informed field reconstruction with generative models. Physics of Fluids, 37(9), Article 093617. https://doi.org/10.1063/5.0285462

Rincón, M. J., Reclari, M. & Abkar, M. (2022). Turbulent flow in small-diameter ultrasonic flow meters: A numerical and experimental study. Flow Measurement and Instrumentation, 87, Article 102227. https://doi.org/10.1016/j.flowmeasinst.2022.102227

Rincón, M. J., Reclari, M., I. A. Yang, X. & Abkar, M. (2023). Validating the design optimisation of ultrasonic flow meters using computational fluid dynamics and surrogate modelling. International Journal of Heat and Fluid Flow, 100, Article 109112. https://doi.org/10.1016/j.ijheatfluidflow.2023.109112

Rincón, M. J., Amarloo, A., Reclari, M., I.A. Yang, X. & Abkar, M. (2023). Progressive augmentation of Reynolds stress tensor models for secondary flow prediction by computational fluid dynamics driven surrogate optimisation. International Journal of Heat and Fluid Flow, 104, Article 109242. https://doi.org/10.1016/j.ijheatfluidflow.2023.109242

Rincón, M. J., Reclari, M., Yang, X. & Abkar, M. (2023). CFD-aided morphing and design optimisation of ultrasonic flow meters. In The 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements (pp. 109-114) https://www.ercoftac.org/etmm/program/conference-program/

Rincón, M. J., Caspersen, A., Thorenfeldt Ingwersen, N., Reclari, M. & Abkar, M. (2024). Flow investigation of two-stand ultrasonic flow meters in a wide dynamic range by numerical and experimental methods. Flow Measurement and Instrumentation, 96, Article 102543. https://doi.org/10.1016/j.flowmeasinst.2024.102543

Rincón, M. J. (2024). Robust Optimisation of Ultrasonic Flow Meters by Computational Fluid Dynamics and Enhanced Turbulence Modelling. [PhD dissertation, Aarhus University]. Aarhus University. https://doi.org/10.7146/aul.508

Rincón, M. J., Reclari, M., Yang, X. I. A. & Abkar, M. (2025). A generalisable data-augmented turbulence model with progressive and interpretable corrections for incompressible wall-bounded flows. International Journal of Heat and Fluid Flow, 116, Article 109970. https://doi.org/10.1016/j.ijheatfluidflow.2025.109970

Rehman, A. U., Ijaz, S., Niazi, K. A. K., Tauqeer, T., Usman, M., Zubair, M. & Mehmood, M. Q. (2025). Towards sustainable Agri-Photovoltaics through system design and viability in Semi-Arid conditions. Solar Energy, 299, Article 113682. https://doi.org/10.1016/j.solener.2025.113682

Rahdan, P., Zeyen, E., Gallego-Castillo, C. & Victoria, M. (2024). Distributed photovoltaics provides key benefits for a highly renewable European energy system. Applied Energy, 360, Article 122721. https://doi.org/10.1016/j.apenergy.2024.122721

Rahdan, P., Zeyen, E. & Victoria, M. (2024). Strategic deployment of solar photovoltaics for achieving self-sufficiency in Europe throughout the energy transition. https://arxiv.org/pdf/2410.19440

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Revised 13.11.2025

AU Engineering