Del i serien Africa Circular Economy Series

Computational Fluid Dynamics Modelling of Solid Fuel Co-Combustion

Inbunden, Engelska, 2026

AvGarikai T. Marangwanda,Daniel M. Madyira,Innocent Musonda

1 889 kr

Kommande

The growing need for sustainable energy solutions has driven research into co-combustion processes, where coal is blended with biomass to reduce emissions and enhance efficiency. This book overviews best practices to optimise the combustion processes through the use of computational fluid dynamics (CFD) simulations, focusing particularly on solid fuel combustion modelling. It equips the reader with an understanding of combustion parameter optimisation and modelling from a thermodynamic-fluid dynamic-mass transfer perspective.Key featuresOffers a specialised approach to solid fuel co-combustion, using CFD to model and optimise combustion processes for sustainable energy solutionsCombines theoretical and practical applications, with a focus on energy optimisation and emissions reductionIncludes modelling of complex phenomena such as multiphase and reaction modellingGives insights into important sub-models required during combustion modelling, forming the basis of reliable modelsContains detailed case studies and real-world applicationsThis book is aimed at graduate students and researchers in thermodynamics, combustion, energy engineering, fluid dynamics, and clean energy processes.

Produktinformation

Utgivningsdatum2026-07-03
Mått156 x 234 x undefined mm
FormatInbunden
SpråkEngelska
SerieAfrica Circular Economy Series
Antal sidor244
FörlagTaylor & Francis Ltd
ISBN9781041088127

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Garikai T. Marangwanda is a postdoctoral research fellow at the University of Johannesburg, South Africa, within the Centre of Applied Research and Innovation in the Built Environment (CARINBE). He received his Ph.D. in Mechanical Engineering from the University of Johannesburg, South Africa, in 2024 and a MSc in Mechanical Engineering from USTO-MB, Algeria, in 2014.He is a dynamic and results-oriented mechanical engineer with over 8 years of academic and industry experience. He is adept at leveraging computational tools and software to solve complex engineering challenges, with a focus on thermo-fluids, combustion technology, and renewable energy systems.Daniel M. Madyira is a registered Professional Engineer who is currently an Associate Professor of Mechanical Engineering in the Department of Mechanical Engineering Science, Faculty of Engineering, and the Built Environment at the University of Johannesburg. He has taught a wide range of core mechanical engineering courses including machine design, fluid dynamics, thermodynamics, and strength of materials. He is a highly experienced mechanical engineer and academic with more than 26 years of academic and industrial experience. He is passionate about engineering design with special expertise in machine component stress analysis and thermal systems analysis.Innocent Musonda is a registered Civil Engineer and Professional Construction Manager, currently serving as a full Professor in Construction Management and Quantity Surveying in the Department of Construction & Management–Quantity Surveying at the University of Johannesburg (UJ). He is also the Director of the Centre for Applied Research and Innovation in the Built Environment (CARINBE). He has taught a broad spectrum of courses in construction project management, engineering management, and digital built-environment technologies. As an experienced academic and practitioner, he combines more than two decades of industrial experience across Botswana, Zambia, and South Africa with deep scholarly engagement.

1.Introduction to Solid Fuels 2. Fundamentals of Solid Fuel Combustion 3. Fundamentals of Computational Fluid Dynamics Modelling 4. Modelling of Chemical Phenomena During Combustion 5. Modelling of Physical Phenomena During Combustion 6. Trends In Modelling Co-Combustion 7. Co-Combustion Case Study. Co-Combustion of Coal And Pinus Sawdust 8. Conclusion And Future Trends. Appendix A Nomenclature. Appendix B Units And Conversion Factors Appendix C Experimental Data (Thermogravimetric, Drop Tube Furnace). Index