Cover Image

Study on Building Energy Efficiency Related to Simulation Models

This Special Issue focuses on the need for advanced simulation techniques and computational methods in improving building energy efficiency. With increasing trends in global energy consumption and the escalating impact of climate change, reliable predictive modeling of building performance and energ...

Full description

Saved in:
Format: Online
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2026
Subjects:
Building energy efficiency
Simulation models
Building performance
HVAC systems
Machine learning
Energy retrofitting
Building optimization
Passive strategies
Building envelope
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNK Building construction and materials::TNKX Conservation of buildings and building materials
Online Access:ONIX_20260416T142754_9783725854257_31
Tags: Add Tag
No Tags, Be the first to tag this record!
Summary:This Special Issue focuses on the need for advanced simulation techniques and computational methods in improving building energy efficiency. With increasing trends in global energy consumption and the escalating impact of climate change, reliable predictive modeling of building performance and energy consumption has become a critical part of sustainable construction. This Reprint gathers the state-of-the-art research that fills the gap between theoretical modeling and practice in the energy management and environmental performance of buildings. This collection includes a variety of methodological approaches, such as machine learning models for predicting thermal loads and advanced computation methods used to optimize an HVAC system. The presented studies have explored diverse building typologies in diverse climate regions, covering retrofit impact in various climatic regions, energy disaggregation for buildings, and improved methods of thermal bridge analysis. Collectively, these contributions extend the scientific understanding of optimizing building performance using advanced modeling approaches, facilitating the shift toward a net-zero energy future and sustainable development for the building sector.

Similar Items