applsci-logo

Journal Browser

Journal Browser

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: 20 March 2026 | Viewed by 470

Special Issue Editors


E-Mail Website
Guest Editor
Division of Architecture, Gachon University, Seongnam 13120, Republic of Korea
Interests: generative design; sustainable building design; daylighting; building energy; machine learning
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Architecture, College of Engineering, Keimyung University, Daegu 42601, Republic of Korea
Interests: indoor environmental quliaty; building energy; building retrofit; energy poverty; occupant behavior; data visualization; gis; platform

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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

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

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

23 pages, 3609 KB  
Article
A Study on Exterior Design Alternatives for Temporary Residential Facilities Using Generative Artificial Intelligence
by Hyemin Lee and Jongho Lee
Appl. Sci. 2025, 15(19), 10583; https://doi.org/10.3390/app151910583 - 30 Sep 2025
Abstract
The increasing frequency and severity of natural disasters—such as floods, storms, droughts, and earthquakes—have created a growing demand for temporary housing. These facilities must be rapidly deployed to provide safe, functional living environments for displaced individuals. This study proposes a design methodology for [...] Read more.
The increasing frequency and severity of natural disasters—such as floods, storms, droughts, and earthquakes—have created a growing demand for temporary housing. These facilities must be rapidly deployed to provide safe, functional living environments for displaced individuals. This study proposes a design methodology for temporary housing exteriors using the text-to-image capabilities of generative artificial intelligence (GenAI) to address urgent post-disaster housing needs. The approach aims to improve both the efficiency and practicality of early-stage design processes. The study reviews global trends in temporary housing and the architectural applications of GenAI, identifying five key environmental factors that influence design: type of disaster, location and climate, duration of residence, materials and structure, and housing design. Based on these factors, hypothetical disaster scenarios were developed using ChatGPT, and corresponding exterior designs were generated using Stable Diffusion. The results show that diverse, scenario-specific design alternatives can be effectively produced using GenAI, demonstrating its potential as a valuable tool in architectural planning for disaster response. Expert evaluation of the generated designs confirmed their ability to adhere to text prompts but revealed a significant gap in terms of architectural plausibility and practical feasibility, highlighting the essential role of expert oversight. This study offers a foundation for expanding GenAI applications in emergency housing systems and supports the development of faster, more adaptable design solutions for communities affected by natural disasters. Full article
(This article belongs to the Special Issue Building-Energy Simulation in Building Design)
Show Figures

Figure 1

Back to TopTop