Articles | Open Access | DOI: https://doi.org/10.37547/tajmei/Volume07Issue04-06

Use of BIM Technologies In Managing the Refurbishment of Residential and Commercial Properties

Jaspreet Kaur Lall , Project Manager at Carter Jonas Birmingham, England

Abstract

This article examines the potential of building information modeling (BIM) technologies in managing the reconstruction of residential and commercial properties, with a focus on cultural heritage preservation. The theoretical foundation includes an analysis of BIM technologies, generative design, and digital twins, as well as their integration for precise digital modeling, optimization of design solutions, and dynamic monitoring of operational parameters. A case study of the reconstruction of the former Santa Barbara cinema in Paternò demonstrates that the comprehensive application of these technologies significantly enhances design accuracy, improves energy efficiency, optimizes operational performance, and preserves the historical integrity of the structure. The findings confirm the hypothesis that integrating BIM with modern digital tools is an effective approach for managing reconstruction projects, providing substantial practical value for professionals in architecture, construction, and real estate management. The article also presents recommendations for further research aimed at improving generative design algorithms and enhancing the reliability of digital twins. The topic of BIM technology application in reconstruction management will be of interest to leading specialists in architectural and engineering design, strategic construction project management, and urban studies, as it offers an innovative methodological framework for integrating digital tools to optimize reconstruction processes, minimize technological risks, and ensure the sustainability of urban infrastructure.

Keywords

BIM, generative design, digital twin, building reconstruction, cultural heritage preservation, automation, IoT, energy efficiency

References

Cascone S., Parisi G., Caponetto R. BIM-Based Strategies for the Revitalization and Automated Management of Buildings: A Case Study //Sustainability. – 2024. – Vol. 16 (16). – pp. 1-24.

Azhar S., Brown J. BIM for sustainability analyses //International Journal of Construction Education and Research. – 2009. – Vol. 5 (4). – pp. 276-292.

Ajtayné Károlyfi K., Szép J. A Parametric BIM Framework to Conceptual Structural Design for Assessing the Embodied Environmental Impact //Sustainability. – 2023. – Vol. 15 (15). – pp. 11990.

Liberotti R., Gusella V. Parametric modeling and heritage: A design process sustainable for restoration //Sustainability. – 2023. – Vol. 15 (2). – pp. 1371.

Gigliarelli E., Calcerano F., Cessari L. Heritage Bim, numerical simulation and decision support systems: An integrated approach for historical buildings retrofit //Energy Procedia. – 2017. – Vol. 133. – pp. 135-144.

Pereira V. et al. Using BIM to improve building energy efficiency–A scientometric and systematic review //Energy and Buildings. – 2021. – Vol. 250. – pp. 111-292.

Sun Y., Dogan T. Generative methods for Urban design and rapid solution space exploration //Environment and Planning B: Urban Analytics and City Science. – 2023. – Vol. 50 (6). – pp. 1577-1590.

Qian C., Tan R. K., Ye W. An adaptive artificial neural network-based generative design method for layout designs //International Journal of Heat and Mass Transfer. – 2022. – Vol. 184. – pp. 122313.

Ghannad P., Lee Y. C. Automated modular housing design using a module configuration algorithm and a coupled generative adversarial network (CoGAN) //Automation in construction. – 2022. – Vol. 139. – pp. 104234.

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Jaspreet Kaur Lall. (2025). Use of BIM Technologies In Managing the Refurbishment of Residential and Commercial Properties. The American Journal of Management and Economics Innovations, 7(04), 50–58. https://doi.org/10.37547/tajmei/Volume07Issue04-06