A5015439406- Building Energy and Comfort Optimization
- Urban Heat Island Mitigation
- Solar Energy Systems and Technologies
- Energy Load and Power Forecasting
- Phase Change Materials Research
- Solar Thermal and Photovoltaic Systems
- Noise Effects and Management
- Traffic control and management
- Evacuation and Crowd Dynamics
- Thermal Radiation and Cooling Technologies
- Energy Efficiency and Management
- Transportation Planning and Optimization
Tecnológico de Monterrey
2022-2023
The rise in greenhouse gas emissions cities and the excessive consumption of fossil energy resources has made development green spaces, such as roofs, an increasingly important focus urban areas. This study proposes a novel smart energy-comfort system for roofs housing estates that utilises integrated machine learning (ML), DesignBuilder (DB) software Taguchi design computations optimising roof operation buildings. optimisation process maximises conservation thermal comfort buildings...
The application of energy-efficient strategies in buildings, such as the Green Building Concept, can significantly impact human comfort and resource consumption. However, due to complexity decision-making factors variety available materials, computational models are necessary identify most effective solutions optimise building energy performance. This study presents an integrated framework that uses machine learning algorithms a Petri Net control system thermal, comfort, efficiency both...
Today, safety control is considered one of the most important pillars building construction processes due to maintaining security in major incidents such as fire, earthquake, and flood, placing a basis mutual trust between builders residents for design construction. The evacuation process key aspect case an emergency fire. This study develops new integrated agent-based framework designing by using Building Information Model (BIM). Three main steps include data collection, model development,...