CFD Applications in Renewable Energy Systems (2nd Edition)
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".
Deadline for manuscript submissions: 30 June 2026
Special Issue Editors
Interests: CFD; numerical methods; turbulence; multiphase flow; renewable energy
Special Issues, Collections and Topics in MDPI journals
Interests: computational fluid dynamics; gas–solid two-phase flows; two-fluid model; kinetic theory of granular flows; turbulence modulation; fluidized beds; hydrokinetic turbines
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue is the second volume of "CFD Applications in Renewable Energy Systems” (https://www.mdpi.com/journal/processes/special_issues/0B269BR3KC).
Renewable energy systems play a major role in the solution to global problems such as the energy crisis and climate change. The need for better and more efficient renewable energy systems requires state-of-the-art techniques and tools for their design and analysis. Computational fluid dynamics (CFD) is one of those tools that has become a standard in the design process of thermal fluid systems. This Special Issue is focused on the application of CFD to the design, analysis, and optimization of renewable energy systems. The following topics are of interest for this Special Issue (but are not limited to them):
Wind energy:- Wind turbine (WT) aerodynamics.
- WT aerodynamics and control.
- WT aeroelasticity.
- WT aeroacoustics.
- Wind farm modeling.
- Modeling of wake dynamics.
- Reduced-order models for WT aerodynamics.
- Multiscale modeling and coupling for WT aerodynamics.
Hydrogen:
- Generation (electrolysis) modeling.Compression and storage modeling.
- Transport modeling.
- Fuel cell modeling.
- Combustion modeling.
Hydropower:
- Turbine modeling.Pump modeling.
- Cavitation modeling.
Ocean energy:
- Turbine for tidal energy modeling.Wave energy converter modeling
- Unsteady flow modeling.
- Cavitation modeling.
Solar energy:
- Solar radiation modeling.Solar collector modeling.
- Photovoltaic and thermal systems modeling.
Bioenergy:
- Biomass combustion modeling.Pyrolysis processes modeling.
- Gasification modeling.
- Chemical kinetics coupling and modeling.
Prof. Dr. Santiago Lain
Dr. Aldo Benavides-Moran
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- renewable energy systems simulation and modeling
- computational fluid dynamics
- unsteady flows and systems simulation
- solar radiation modeling
- turbulence modeling
- biomass combustion modeling
- hydrogen combustion modeling
- hydrogen production and use modeling
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