Advances in Combustion Modeling and Numerical Simulations for Clean Energy
A special issue of Fire (ISSN 2571-6255). This special issue belongs to the section "Mathematical Modelling and Numerical Simulation of Combustion and Fire".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 734
Special Issue Editors
Interests: rapid smoke reduction technology for tunnel and underground space fires; heterogeneous thermal catalysis theory and technology; quantum chemistry theoretical calculations; multiphase and multiscale combustion kinetics modeling
Interests: gas turbine combustion organization; formation mechanisms and control technologies of pollutants; plasma ignition and combustion enhancement; combustion chemical reaction kinetics; machine learning-enabled combustor performance prediction research
Special Issues, Collections and Topics in MDPI journals
Interests: hydrogen energy; combustion; engines; gas turbines; safety; transportation decarbonization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Amid the global drive for energy transition and carbon neutrality, combustion science is pivotal to clean energy solutions; however, traditional combustion suffers from high pollutant emissions and low efficiency. Mathematical modeling and numerical simulation are both key to addressing these challenges, serving as core tools that decipher complex combustion mechanisms and optimize system performance. This Special Issue, focusing on mathematical modeling and numerical simulation of low-carbon fuels (e.g., hydrogen and ammonia) and combustion, including chemical kinetics, flame propagation, pollutant formation, industrial system optimization, safety, and so on, aims to gather cutting-edge research bridging theory and practice, fostering knowledge exchange to accelerate low-carbon technologies. Full computational and simulation details must be provided to ensure the reproducibility of results. We invite global researchers to submit original papers that contribute to advancing sustainable clean energy through state-of-the-art research into combustion science.
Dr. Qian Zhao
Dr. Fuquan Deng
Dr. Haoran Zhao
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 250 words) can be sent to the Editorial Office for assessment.
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. Fire 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
- quantum chemical calculations for combustion systems
- combustion kinetics modeling
- theoretical model of hydrogen explosive overpressure
- hydrogen (ammonia) combustion characteristics prediction model
- flame numerical simulation
- pollutant formation & control
- modeling of flame propagation and stability
- flow-combustion coupling modeling
- modeling of multiphase combustion
- heat and mass transfer optimization in clean combustion systems
- numerical simulation for combustion optimization
- mathematical modelling & numerical simulation of carbon-neutral combustion
- numerical evaluation of waste-derived fuel combustion
- machine learning-aided combustion modelling & simulation
- turbulent combustion numerical simulation for clean energy systems
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