A5063243808- Thermochemical Biomass Conversion Processes
- Hybrid Renewable Energy Systems
- Energy and Environment Impacts
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Catalysts for Methane Reforming
- Biodiesel Production and Applications
- Process Optimization and Integration
- Biofuel production and bioconversion
- Environmental Impact and Sustainability
- Electrocatalysts for Energy Conversion
- Chemical Looping and Thermochemical Processes
- Advanced Combustion Engine Technologies
- Global Energy and Sustainability Research
- Advancements in Solid Oxide Fuel Cells
- Fuel Cells and Related Materials
- Catalytic Processes in Materials Science
- Refrigeration and Air Conditioning Technologies
- Recycling and Waste Management Techniques
- Vehicle emissions and performance
- Photovoltaic Systems and Sustainability
- Solar Thermal and Photovoltaic Systems
- Advanced Thermodynamics and Statistical Mechanics
- Environmental Sustainability and Education
- Municipal Solid Waste Management
- Catalysis and Hydrodesulfurization Studies
Universidade Estadual Paulista (Unesp)
2016-2025
Universidade Federal do ABC
2021-2024
United Arab Emirates University
2019
Sustainable Energy Systems (United Kingdom)
2016
Universidade do Sul de Santa Catarina
2016
Universidade de São Paulo
2012-2013
National Council for Scientific and Technological Development
2012
Universidade Presbiteriana Mackenzie
2012
Ospedale San Paolo
2010
Universidad Nacional de La Plata
2006
Wood gasification technologies to convert the biomass into fuel gas stand out. On other hand, producing electrical energy from stationary engine is widely spread, and its application in rural communities where network doesn't exist very required. The recovery of exhaust gases (engine) a possibility that makes system attractive when compared with same components used obtain individual heat such as electric power. This paper presents an energetic alternative adapt fixed bed gasifier compact...
The Particle Swarm Optimization (PSO) algorithm has been widely used in the field of optimization mainly due to its easy implementation, robustness, fast convergence, and low computational cost. However, continuous nature, PSO cannot be applied directly real-life problems such as hybrid energy generating systems (HEGS) sizing, which contain discrete decision variables. In this context, present work proposes combination original version with binary same (BPSO) for sizing HEGS. transfer...