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Advancing Bottom-Up Energy Approaches for Carbon-Neutral Building Stock

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Green Building".

Deadline for manuscript submissions: 2 July 2025 | Viewed by 1809

Special Issue Editors


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Guest Editor
Department of Mechanical Engineering (CEME), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan
Interests: energy systems; renewable energy; applied optimization; building simulation

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Guest Editor
Faculty of Science and Technology, Norwegian University of Life Sciences, Elizabeth Stephansens v. 15, 1430 Ås, Norway
Interests: computational fluid dynamics; computational mechanics; modeling and simulation; offshore wind turbines
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Energy efficiency is becoming a critical focus in the building sector, particularly during the operational phases, as part of global efforts toward carbon neutrality. According to the International Energy Agency (IEA), buildings hold a significant yet underutilized potential for energy efficiency. To quantify this potential, there is a need to develop new approaches related to building performance simulation to improve accuracy and reduce computational time at scale.

This Special Issue intends to cover (but are not limited to) research topics on benchmarking energy efficiency at the national, city, community and multi-scale levels; advancements in enabling these technologies and their use to support the energy efficiency, data-driven transition, or renovation of residential and commercial building stock; and their technical and socio-economic feasibility.

Topics of interest include, but are not limited to, the following:

  • Energy-efficient building design (new optimization techniques);
  • Resilient buildings for climate change (climate neutral cities and districts);
  • Building energy performance simulation and analysis tools (white- and black-box techniques using GIS, synthetic, hybrid and machine learning approaches);
  • Building-, community-, regional-, national-, and multi-scale-level modeling of energy efficiency methods;
  • Digital twin-enabled building operations.

Dr. Usama Bin Perwez
Dr. Muhammad Salman Siddiqui
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. Sustainability 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

  • energy efficiency
  • building performance simulation
  • urban building energy modelling (UBEM)
  • climate change

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Published Papers (2 papers)

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Research

22 pages, 3539 KiB  
Article
Developing an openBIM Information Delivery Specifications Framework for Operational Carbon Impact Assessment of Building Projects
by Arash Hosseini Gourabpasi, Farzad Jalaei and Mehdi Ghobadi
Sustainability 2025, 17(2), 673; https://doi.org/10.3390/su17020673 - 16 Jan 2025
Viewed by 558
Abstract
BIM (building information modeling) is widely recognized for enhancing the efficiency and precision of building energy modeling (BEM), primarily by reducing model development time and improving model accuracy. This paper presents a novel framework leveraging “openBIM” to standardize and harmonize BIM-driven solutions for [...] Read more.
BIM (building information modeling) is widely recognized for enhancing the efficiency and precision of building energy modeling (BEM), primarily by reducing model development time and improving model accuracy. This paper presents a novel framework leveraging “openBIM” to standardize and harmonize BIM-driven solutions for energy simulations, facilitating comprehensive operational carbon impact assessments. Unlike existing approaches, our framework uniquely integrates information delivery specifications (IDS) with openBIM standards to define the minimum data requirements within the IFC schema, tailored to various levels of development (LOD). This innovation ensures consistent data exchange and interoperability across diverse energy modeling and simulation tools, addressing common challenges of data fragmentation and inaccuracy in operational carbon assessments. By advancing the current state of the art, the proposed framework empowers energy modelers, LCA analysts, and asset managers to streamline IDS implementation, fostering more efficient and reliable construction industry practices. This research thus marks a significant step towards achieving more sustainable building projects through enhanced data-driven insights. Full article
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14 pages, 5408 KiB  
Article
Occupant-Detection-Based Individual Control of Four-Way Air Conditioner for Sustainable Building Energy Management
by Joon-Hee Ham, Bum-Soo Kim, In-Woo Bae and Jaewan Joe
Sustainability 2024, 16(17), 7404; https://doi.org/10.3390/su16177404 - 28 Aug 2024
Viewed by 920
Abstract
In this study, individual control of a four-way air conditioner was developed based on the distribution of occupants to prevent unnecessary energy consumption during room-wide control. An occupancy detection algorithm was created in Python using YOLOv5 object recognition technology to identify the occupants’ [...] Read more.
In this study, individual control of a four-way air conditioner was developed based on the distribution of occupants to prevent unnecessary energy consumption during room-wide control. An occupancy detection algorithm was created in Python using YOLOv5 object recognition technology to identify the occupants’ distribution in space. Recorded video data were used to test the algorithm. A simulation case study for a building energy model was conducted, assuming that this algorithm was applied using surveillance cameras in commercial buildings, such as cafés and restaurants. A grey-box model was established based on measurements in a thermal zone, dividing one space into two zones. The temperature data for the two zones were collected by individually turning on the air conditioner for each zone in turns for a specific period. Manual closure was applied to each supply blade using a tape to provide cooling to the target zone. Finally, through energy simulations, the decreased rates in energy consumption between the proposed individual control and existing room-wide controls were compared. Different scenarios for the occupants’ schedules were considered, and average rates in energy savings of 21–22% were observed, demonstrating the significance of individual control in terms of energy consumption. However, marginal comfort violations were observed, which is inevitable. The developed control method is expected to contribute to sustainable energy management in buildings. Full article
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