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

Giauque, A., Giguet, C., Vadrot, A. & Corre, C. (2024). A priori test of Large-Eddy Simulation models for the Sub-Grid Scale turbulent stress tensor in perfect and transcritical compressible real gas Homogeneous Isotropic Turbulence. Computers and Fluids, 268, Artikel 106091. https://doi.org/10.1016/j.compfluid.2023.106091

Colombo, M., Meng, Y., Poirier-Quinot, M., Rollet, A. L., Geeverding, A., Delcea, M., deMello, A. J. & Abou-Hassan, A. (2024). Assessing the Effect of Magnetite Nanoflowers on Platelets in a Multiscale Approach in the Context of Thromboembolic Diseases. ACS Applied Nano Materials, 7(17), 20085-20093. https://doi.org/10.1021/acsanm.4c02715

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

Farah, S., Bokde, N. & Andresen, G. B. (2024). Cost and CO₂ emissions co-optimisation of green hydrogen production in a grid-connected renewable energy system. International Journal of Hydrogen Energy, 84, 164-176. https://doi.org/10.1016/j.ijhydene.2024.08.062

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, Artikel 123705. https://doi.org/10.1016/j.apenergy.2024.123705

Amarloo, A. (2024). Data-Driven RANS Modelling and Prediction of Turbulent Flows. Aarhus University.

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

Bruun Andresen, G. (2024, apr.). det lykkelige Nordsøen - genåbning af Danmarks største gas-felt, Tyra-feltet. Instagram.com. https://www.instagram.com/p/C50BZMOMwXU/?igsh=dXQ5anoweTc1NHFk&img_index=1

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, Artikel 122721. https://doi.org/10.1016/j.apenergy.2024.122721

Faldella, F., Kim, T., Doll, U. & Jansohn, P. (2024). Effect of pressure and H₂ content on global consumption-based turbulent flame speed at gas turbine relevant conditions. International Journal of Hydrogen Energy, 81, 842-851. https://doi.org/10.1016/j.ijhydene.2024.07.282

Arumugam, V. K., Mantzaras, J., Gantenbein, A., Doll, U. & Schildhauer, T. (2024). Experimental and numerical investigation of high-pressure methane catalytic synthesis from H2 and CO2. Proceedings of the Combustion Institute, 40(1-4), Artikel 105206. https://doi.org/10.1016/j.proci.2024.105206

Alvandifar, N., Kristofersson, J. & Forooghi, P. (2024). Frost formation non-uniformity in a multi-circuit V-shape evaporator. International Journal of Refrigeration, 157, 137-149. https://doi.org/10.1016/j.ijrefrig.2023.10.018

Farah, S. (2024). Green hydrogen production: cost and CO2 emissions co-optimisation. Poster session præsenteret på Aarhus Power-to-X Symposium 2024, Aarhus, Danmark.

I. A. Yang, X., Abkar, M. & I. Park, G. (2024). Grid Convergence Properties of Wall-Modeled Large Eddy Simulations in the Asymptotic Regime. Journal of Fluids Engineering, Transactions of the ASME, 146(8), Artikel 081501. https://doi.org/10.1115/1.4064850

I. A. Yang, X. & Abkar, M. (2024). Grid Convergence Properties of Wall-Modeled Large-Eddy Simulations in the Asymptotic Regime. I ASME 2023 International Mechanical Engineering Congress and Exposition: Fluids Engineering (Bind 9). Artikel IMECE2023-116581, V009T10A017 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/IMECE2023-116581

Farah, S. & Bruun Andresen, G. (2024). Investment-based optimisation of energy storage design parameters in a grid-connected hybrid renewable energy system. Applied Energy, 355, Artikel 122384. https://doi.org/10.1016/j.apenergy.2023.122384

Alamia, A. & Bruun Andresen, G. (2024). Modelling Alternatives for integrted PtX infrastrcture between Denmark and EU. Poster session præsenteret på 12th European Open Energy Modelling Workshop, Grenoble, Frankrig.

Ninno, F., Chiastra, C., Colombo, M., Dardik, A., Strosberg, D., Aboian, E., Tsui, J., Bartlett, M., Balabani, S. & Díaz-Zuccarini, V. (2024). Modelling lower-limb peripheral arterial disease using clinically available datasets: impact of inflow boundary conditions on hemodynamic indices for restenosis prediction. Computer Methods and Programs in Biomedicine, 251, Artikel 108214. https://doi.org/10.1016/j.cmpb.2024.108214

Moon, J., Mahravan, E. & Kim, D. (2024). Mutual interaction of a collapsing bubble and a nearby viscoelastic solid. Physical Review Fluids, 9(4), Artikel 043603. https://doi.org/10.1103/PhysRevFluids.9.043603

Cremoncini, D., Frate, G. F., Bischi, A., Pedersen, T. T., Bruun Andresen, G., Bentien, A. & Ferrari, L. (2024). Optimal participation of a wind and hybrid battery storage system in the day-ahead and automatic frequency restoration reserve markets. Journal of Energy Storage, 94, Artikel 112309. https://doi.org/10.1016/j.est.2024.112309

Rincón, M. J. (2024). Robust Optimisation of Ultrasonic Flow Meters by Computational Fluid Dynamics and Enhanced Turbulence Modelling. Aarhus University.

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

Migliorini, M., Zachos, P. K., Macmanus, D. G., Doll, U., Dues, M., Steinbock, J., Dues, F., Siswanto, A., Melnikov, S. M. & Röhle, I. (2024). Seeding-free inlet flow distortion measurements using filtered Rayleigh scattering: integration in a complex intake test facility. Afhandling præsenteret på AIAA SciTech Forum and Exposition, 2024, Orlando, USA. https://doi.org/10.2514/6.2024-2831

Doll, U., Kapulla, R., Dues, M., Steinbock, J., Melnikov, S., Röhle, I., Migliorini, M. & K. Zachos, P. (2024). Towards time-resolved multi-property measurements by filtered Rayleigh scattering: diagnostic approach and verification. Experiments in Fluids, 65(1), Artikel 2. https://doi.org/10.1007/s00348-023-03740-6

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, Artikel 109093. https://doi.org/10.1016/j.ijheatfluidflow.2022.109093

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

Hansen, C., I.A. Yang, X. & Abkar, M. (2023). A POD-mode-augmented wall model and its applications to flows at non-equilibrium conditions. Journal of Fluid Mechanics, 975, Artikel A24. https://doi.org/10.1017/jfm.2023.857

E. S. Chen, P., Bin, Y., I. A. Yang, X., Shi, Y., Abkar, M. & I. Park, G. (2023). A priori screening of data-enabled turbulence models. Physical Review Fluids, 8(12), Artikel 124606. https://doi.org/10.1103/PhysRevFluids.8.124606

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

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

Niazi, K. A. K. & Victoria, M. (2023). Comparative analysis of photovoltaic configurations for agrivoltaic systems in Europe. Progress in Photovoltaics, 31(11), 1101-1113. https://doi.org/10.1002/pip.3727

Legaard, C. M., Schranz, T., Schweiger, G., Drgona, J., Falay, B., Gomes, C., Iosifidis, A., Abkar, M. & Larsen, P. G. (2023). Constructing Neural Network Based Models for Simulating Dynamical Systems. ACM Computing Surveys, 55(11), 1-34. Artikel 236. https://doi.org/10.1145/3567591

Gøtske, E. K., Bruun Andresen, G. & Victoria, M. (2023). Cost and Efficiency Requirements for Successful Electricity Storage in a Highly Renewable European Energy System. PRX Energy, 2, Artikel 023006. https://doi.org/10.1103/PRXEnergy.2.023006

Hansen, C., I. A. Yang, X. & Abkar, M. (2023). Data-Driven Dynamical System Models of Roughness-Induced Secondary Flows in Thermally Stratified Turbulent Boundary Layers. Journal of Fluids Engineering, Transactions of the ASME, 145(6), Artikel FE-22-1510. https://doi.org/10.1115/1.4057016

Amarloo, A., Cinnella, P., Iosifidis, A., Forooghi, P. & Abkar, M. (2023). Data-driven Reynolds stress models based on the frozen treatment of Reynolds stress tensor and Reynolds force vector. Physics of Fluids, 35(7), Artikel 075154. https://doi.org/10.1063/5.0160977

Pedersen, T. T. (2023). Decision support for renewable energy integration through exploration of near-optimal solutions. Århus Universitet.

Bruun Andresen, G. (2023). Dunkelflaute: Der, hvor solen ikke skinner. - KlimaFokus. Billeder, Video- og Lydoptagelser (digital), Klimakysset. https://www.klimakysset.dk/klimafokus-stil-skarpt-paa-klimaet/groen-energi-fysik/

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

Bruun Andresen, G. (2023). Er solceller Danmarks fremtid?. Billeder, Video- og Lydoptagelser (digital), YouTube. https://www.youtube.com/watch?v=9XCDwV-rYQA

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

Cristóbal, A. B., Narvarte, L., Victoria, M., Fialho, L., Zhang, Z., Sanz-Cuadrado, C. & Bokalič, M. (2023). Igniting University Communities: Building Strategies that Empower an Energy Transition through Solar Energy Communities. Solar RRL, 7(24), Artikel 2300498. https://doi.org/10.1002/solr.202300498

Amarloo, A., Cinnella, P., Iosifidis, A., Forooghi, P. & Abkar, M. (2023). Investigation of Data-driven algebraic Reynolds stress models for turbulent secondary flows. I The 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements Proceedings https://www.ercoftac.org/etmm/program/conference-program/

Farah, S. (2023). Investment-based optimisation of energy storage design parameters in a grid-connected hybrid renewable energy system. Poster session præsenteret på 22nd Wind & Solar Integration Workshop, Lyngby, Danmark.

Ali, A., Muqeet, H. A., Khan, T., Hussain, A., Waseem, M. & Niazi, K. A. K. (2023). IoT-Enabled Campus Prosumer Microgrid Energy Management, Architecture, Storage Technologies, and Simulation Tools: A Comprehensive Study. Energies, 16(4), Artikel 1863. https://doi.org/10.3390/en16041863

Dvorak, A. J. & Victoria, M. (2023). Key Determinants of Solar Share in Solar- and Wind-Driven Grids. IEEE Journal of Photovoltaics, 13(3), 476-483. https://doi.org/10.1109/JPHOTOV.2023.3252174

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), Artikel 055122 . https://doi.org/10.1063/5.0147570

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

Haegel, N. M., Verlinden, P., Victoria, M., Altermatt, P., Atwater, H., Barnes, T., Breyer, C., Case, C., De Wolf, S., Deline, C., Dharmrin, M., Dimmler, B., Gloeckler, M., Goldschmidt, J. C., Hallam, B., Haussener, S., Holder, B., Jaeger, U., Jaeger-Waldau, A. ... W. Bett, A. (2023). Photovoltaics at multi-terawatt scale: Waiting is not an option: 25% annual PV growth is possible over the next decade. Science, 380(6640), 39-42. https://doi.org/10.1126/science.adf6957

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), Artikel 013009. https://doi.org/10.1103/PRXEnergy.2.013009

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Revideret 19.12.2023

AU Engineering