Building-Energy Simulation in Building Design
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".
Deadline for manuscript submissions: 10 August 2025 | Viewed by 63
Special Issue Editors
Interests: generative design; sustainable building design; daylighting; building energy; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue of Applied Sciences aims to present a collection of leading contributions on the subject of building-energy simulation in building design.
Advancements in building information modeling (BIM), machine learning, and design automation are reshaping how we approach building environments and energy efficiency. This Special Issue focuses on exploring innovative methodologies and technologies in building-energy simulation to enhance sustainable building design. By integrating data-driven techniques, such as machine learning, with BIM platforms, we can optimize energy consumption, reduce carbon footprints, and improve occupant comfort. Furthermore, automated design processes allow architects and engineers to assess multiple energy-efficient solutions during the early design phases. We invite research contributions that address cutting-edge simulation techniques, applications of BIM in energy modeling, and the role of machine learning in forecasting and optimization. This Special Issue aims to bridge gaps between theoretical advancements and practical applications, paving the way for a more sustainable and intelligent built environment.
Dr. Jaewook Lee
Dr. Jong-Won Lee
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- building-energy simulation
- building information modeling (BIM)
- energy-efficient building design
- machine learning in energy modeling
- sustainable building design
- design automation for energy efficiency
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