Computational Fluid Dynamics for Renewable Energy Systems, Sustainable Buildings, and Energy Efficiency

Submission deadline: 30 July 2027
Special Issue Editor:

Dr. Abdellah Idrissi   
Affiliation: Laboratory of Energy Engineering and Materials (LEEM), Faculty of Sciences and Technologies, Sultan Moulay Slimane University, Beni Mellal, Morocco.
Email: abdellah.idrissi001@gmail.com
Research Interest: Computational Fluid Dynamics (CFD), Computational Aerodynamics, Wind Engineering, Sustainable Architecture, Smart Buildings, Smart Cities, Artificial Intelligence, Digital Twins, Building Energy Performance, Indoor Air Quality, Heat and Mass Transfer, Renewable Energy Systems, Thermal Energy Storage, HVAC Systems, Numerical Simulation.

Special Issue Information

Dear Colleagues:

The rapid evolution of computational technologies is transforming the way sustainable buildings and smart cities are designed, analyzed, and operated. Recent advances in Computational Fluid Dynamics (CFD), computational aerodynamics, Artificial Intelligence (AI), and Digital Twin technologies have significantly enhanced our ability to predict complex aerodynamic phenomena, optimize energy performance, improve outdoor and indoor environmental quality, and support resilient urban development.

This Special Issue aims to bring together cutting-edge research that explores the integration of advanced computational methods and intelligent technologies for sustainable architecture, smart buildings, and future urban environments. Particular emphasis is placed on innovative approaches that combine high-fidelity numerical simulations, data-driven modeling, and AI-assisted engineering to address challenges related to wind engineering, urban aerodynamics, natural ventilation, building energy efficiency, thermal comfort, and climate-responsive architectural design.

Topics of interest include, but are not limited to, Computational Fluid Dynamics (CFD), computational aerodynamics, wind effects on buildings and urban areas, pedestrian wind comfort, sustainable architectural design, building energy performance, HVAC optimization, urban microclimate analysis, Digital Twins, machine learning and deep learning applications in engineering, smart building technologies, renewable energy integration, and intelligent decision-support systems for smart cities.

Researchers from academia, industry, and government organizations are invited to submit original research articles, review papers, and case studies presenting novel methodologies, practical applications, and emerging technologies that contribute to the development of safer, more energy-efficient, and environmentally sustainable built environments.

We look forward to receiving your valuable contributions and to advancing interdisciplinary research at the intersection of computational engineering, architecture, and smart urban systems.

Dr. Abdellah Idrissi
Collection Editor

Keywords:

  • Computational Fluid Dynamics (CFD)
  • Computational Aerodynamics
  • Urban Wind Engineering
  • Building Aerodynamics
  • Artificial Intelligence
  • Digital Twins
  • Smart Buildings
  • Smart Cities
  • Sustainable Architecture
  • Building Energy Performance
  • Natural Ventilation
  • Urban Climate
  • HVAC
  • BIM
  • Renewable Energy Integration