Building Performance Simulation
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".
Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 24220
Special Issue Editors
Interests: building energy performance simulation
Interests: building energy prediction; data-driven modeling; building performance simulation
Interests: HVAC engineering
Special Issue Information
Dear Colleagues,
Buildings consume more than one-third of the world's primary energy. Energy conservation and efficiency improvement in the building sector are crucial to achieve the global goals of sustainable energy and environment, through reducing building energy use and carbon emissions. Fuelled by rapid technology advancements in computer science and data measurement, building energy performance simulation (BEPS) has increasingly become a practical and supportive tool for energy-efficient designs, operations, and retrofitting at different scales, including HVAC systems, buildings, communities, and urban cities. Opportunities and challenges remain for researchers, tool developers, and practitioners, owing to the applications of multi-disciplinary approaches. Simultaneously, despite the decades-long history of development, this area also requires novel insights and innovations to inspire future perspectives for academic research and industry development.
This Special Issue is being organized to share the latest understanding, technologies, and methods for realizing improved building performance simulation, with the goal of creating energy-efficient, smart, low-carbon buildings by taking the maximized value of BEPS. The journal calls for papers addressing topics including, but not limited to, the following:
- Simulation for urban planning and low-carbon community;
- Simulation for high energy efficiency of building operations, retrofits, and energy performance diagnosis;
- Simulation for design of low-carbon buildings;
- Performance gap of simulation and real systems/buildings;
- Algorithm and application study on model calibration;
- Model fidelity, uncertainty and accuracy;
- Energy-oriented modelling of occupant behavior, occupant-centric control, and human-building interaction;
- Integrated modelling with data, with advanced algorithms or with simulation tools.
Prof. Dr. Yiqun Pan
Dr. Mingya Zhu
Dr. Yan Lyu
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. Buildings is an international peer-reviewed open access monthly 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 2600 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 performance simulation
- low carbon
- energy efficiency design
- model calibration
- model uncertainty
- performance gap
- occupant behavior modelling
- advanced simulation
- integrated modelling
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