Sustainability and Integration of New Technologies: Historic Building Conservation with HBIM and Digital Twin

1. Introduction

Preserving cultural heritage requires not only transferring traces of the past to the future but also adapting to today’s environmental standards. Traditional documentation and restoration methods often rely on limited data sets and manual observation. Current digital tools, however, allow us to analyze historic structures like living organisms. In this way, sustainability principles can be integrated into the restoration process; material waste is prevented, and the thermal, structural, and aesthetic lifespan of the building is extended.

HBIM and Digital Twin technologies play a critical role in this process. While HBIM creates a three-dimensional parametric model of the historic structure, the Digital Twin enables real-time data flow between the physical building and the digital model, offering opportunities for proactive maintenance and risk management. The implementation of these technologies represents not just a technical innovation, but an approach integrated with cultural and environmental responsibility.

2. Digital Documentation: From Point Cloud to Smart Model

The digitization process of a historic building begins with data collection. Laser scanning (LiDAR) and photogrammetry capture the geometric and surface characteristics of the structure with high accuracy. Laser scanning records the surface of the building as a “point cloud” consisting of millions of points, while photogrammetry embeds color and texture information into the model via high-resolution photos. These data are transferred to the HBIM platform to create a parametric model. Enriched with metadata such as material type, construction period, and deterioration status, the model functions as a comprehensive database during the restoration process.

The HBIM model offers more than just visual representation; it incorporates sustainability and facility management dimensions to analyze the building’s energy performance, maintenance needs, and carbon emissions. Thus, restoration planning becomes both data-driven and environmentally optimized.

3. HBIM and Sustainability Dimensions

HBIM incorporates 6D and 7D dimensions to ensure the structure meets sustainability goals. The 6D dimension performs energy performance analyses and carbon emission simulations, allowing for the determination of the best insulation and climatization strategies without damaging the historic fabric. The 7D dimension plans the maintenance and repair activities required throughout the building’s lifecycle. Operations such as stone cleaning, wood preservation, or surface improvements are pre-planned via HBIM to prevent unnecessary interventions and resource waste. This approach puts the philosophy of “preventive conservation” into practice.

4. Dynamic Conservation: Digital Twin

When real-time data flow is added to the HBIM model, the structure transforms into a Digital Twin. This allows for live monitoring of parameters such as moisture changes, crack propagation, and visitor load, especially in large-scale monumental structures. With the Digital Twin, risks can be detected before they occur, enabling proactive interventions. Supported by sensors and IoT devices, this system strengthens restoration decisions from both technical and sustainability perspectives.

The use of Digital Twins facilitates the planning of maintenance and repair processes while preserving the physical and cultural values of the structure. This method moves beyond traditional observation-based interventions to offer a data-based, controlled, and optimized conservation process.

5. Performance Analysis and Restoration Decisions

Performance analyses conducted over digital models assist in making critical decisions during the restoration process. Hygrothermal analyses determine heat insulation methods that can be applied without disrupting the moisture balance of the walls. Structural simulations model risks such as earthquakes or ground movements to reveal the building’s weak points in advance. Furthermore, the chemical and physical interactions of newly added materials with original materials are analyzed through simulations. This ensures that restoration interventions are planned to be safe, efficient, and long-lasting.

6. Discussion and Ethical Dimension

While digital technologies reduce human error in restoration, they bring certain challenges. Data accuracy, software compatibility, and long-term accessibility of data are significant topics of discussion regarding the digital sustainability of cultural heritage. Issues such as the format in which digital twin data will be accessible in the long term, data ownership, and protection constitute the ethical dimension of technology integration. Therefore, digital tools should be evaluated not only technically but also with ethical and managerial responsibility.

7. Conclusion

HBIM and Digital Twin technologies are transforming historic building conservation practice from a reactive process to a proactive, data-driven, and sustainable one. This digital ecosystem not only provides energy savings but also supports the preservation of cultural data, maintenance planning, and timely interventions. Future conservation strategies will rely on the correct synthesis of digital technologies with traditional craftsmanship and restoration experience. Preserving both the physical and cultural values of historic buildings becomes possible through the joint implementation of sustainability and digital innovation.