Submit a Manuscript to the Journal
Journal of Building Performance Simulation
For a Special Issue on
Application Artificial Intelligence in Building Performance Simulation
Abstract deadline
Manuscript deadline
Special Issue Editor(s)
Pieter de Wilde,
Lund University (LTH)
[email protected]
Andrea Gasparella,
Free University of Bozen-Bolzano
[email protected]
Ardeshir Mahdavi,
Graz University of Technology
[email protected]
Application Artificial Intelligence in Building Performance Simulation
Context
The last decade has experienced a remarkably rapid development of Artificial Intelligence (AI) technologies and their accelerating deployment in a wide variety of research, development, and practice domains. Building Performance Simulation (BPS) has not been exempted from this trend, as AI entry in the field is already influencing the multi-faceted community of BPS developers and users. In fact, the increasing number of publications pertaining to the AI in different BPS deployment scenarios and in different stages of the building design and construction process bears witness to this trend.
At the societal level of discourse, the rapid rise of AI and its purported transformative power has triggered numerous – in part controversial – views and reactions, ranging from marked skepticism to resounding enthusiasm. Whereas sceptics suspect hype or warn of societal ramifications, enthusiasts see game-changing opportunities and visionary prospects. The related discussions are arguably relevant also to the BPS community, as the following questions illustrate: Does the public reception and actual adoption of AI technologies follows similar instances in the past, when new tools and technologies were introduced (from steam engines to calculators, and indeed to BPS itself), which involved, delegating to “machines”, physical and cognitive tasks that were previously carried out by humans? Or does AI represent an unprecedented seismic departure, which poses entirely new civilizational challenges? Should AI-related efforts and contributions in BPS focus only on incremental improvements of the BPS components and workflows (e.g., user interfaces, data repositories, output visualization) or should they explore, envision, and implement new transformative tools and process for design, retrofit, and operation of high-performance built environments?
Addressing and answering these questions requires a closer and deeper look of AI’s current and future application instances in the BPS field.
Aims
This Special Issue intends to collate timely contributions involving significant applications of AI in BPS. The resulting collection is intended not only to document the state of art in this area, but also to provide a perspective for future developments of AI as relevant to the prediction and evaluation of buildings’ performance.
Submission Instructions
Topics of interest
The special issue seeks original research on original and trendsetting applications of AI in (and integration of AI with) building performance simulation, aligned with the aims and scope of JBPS, and addressing in depth topics such as the following as exemplified through the following use cases:
· Generation of simulation models as well examination of the models’ consistency and fidelity using AI,
· AI-based assistance to simulation tool developers regarding code generation for applications’ computational engines and their interfaces
· Generation and maintenance of data repositories regarding materials, systems, climatic boundary conditions, and occupancy patterns using AI
· AI-based simulation output data visualization and interpretation support
· Automated, parametric, and generative routines for design production (massing, envelop, systems)
· AI-based building operation and automation support
· Educational applications of AI in building physics and design computing
· Potential risks and pitfalls in overt reliance on AI as relevant to the development and application of BPS tools
It is important to highlight that the SI does not seek submissions involving routine applications of commercially available BPS tools that do not include an innovative exploration of AI’s innovative potential in the field of building performance simulation. Submissions that employ AI in buildings but without a link to building performance simulation will also be considered out of scope.
Important dates:
Abstract submission deadline (300 words to Guest Editors): 16 February 2026
Full-length article submission starts: 16 March 2026
Full-length article submission deadline: 3 August 2026
Guest Editors
Please address all correspondence regarding this topical issue to the Guest Editors:
Prof. Pieter de Wilde, Lund University (LTH)
Email: [email protected]
Prof. Andrea Gasparella, Free University of Bozen-Bolzano
Email: [email protected]
Prof. Ardeshir Mahdavi, Graz University of Technology
Email : [email protected]
Important note:
The guest editors will review the abstracts and invite selected authors to develop full papers. They will also perform a preliminary review of manuscripts before they are submitted to the JBPS, this to ensure good alignment with the Special Issue theme and to provide a degree of quality control. Guest editors can provide authors with collegial advice and guidance at this stage. However, it is important for authors to be aware that positive appraisal by the guest editors at this stage does not guarantee subsequent acceptance by the journal as manuscripts are submitted to the journal and undergo the JBPS' standard double-blind review process (handled by journal editors).