Submitted:
26 June 2024
Posted:
26 June 2024
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Abstract
Keywords:
1. Introduction
- To demonstrate the integration of BIM and Generative Design in heritage conservation, showcasing their combined potential to address complex design and restoration challenges.
- To develop and implement advanced automated management systems, including IoT technologies, to enhance the efficiency, sustainability, and user comfort of historical buildings.
- To provide a detailed case study analysis of the "Ex Cinema Santa Barbara" project, documenting the methodologies, challenges, solutions, and outcomes to serve as a reference for future projects in the AEC industry.
- Providing empirical evidence of the benefits of integrating BIM and Generative Design in historical building revitalization.
- Offering practical insights and methodologies for implementing automated management systems in heritage conservation projects.
- Highlighting the potential of digital technologies to balance historical preservation with modern functionality, setting a precedent for future research and practice.
2. Literature Review
2.1 Building Information Modeling (BIM)
2.2 Generative Design
2.3 Integration of BIM and Generative Design
2.4 Applications in Building Management and Revitalization
3. Methodology
3.1 BIM Modeling
- Revit provides a comprehensive suite of tools for detailed and multi-disciplinary modeling, which is essential for complex projects like the revitalization of historical buildings.
- Its widespread acceptance in the industry facilitates collaboration among various stakeholders, including architects, engineers, and contractors.
- Revit supports the IFC file format, ensuring seamless data exchange between different software platforms and stakeholders, which is crucial for maintaining consistency and collaboration.
3.2 Generative Design
3.3 Validation and Verification
3.4 Building Management
4. Case Study: Ex Cinema Santa Barbara
4.1. Historical Background
4.2 Current State Assessment
4.3 Project Objectives
4.4 Design Interventions
4.5 Automated Management Systems
5. Findings and Analysis
5.1. Key Findings
5.2 Quantitative Data on User Comfort: Indoor Environmental Quality and Lighting Quality
5.3 Limitations and Challenges
7. Conclusions
- Created detailed and accurate models of the building's architectural, structural, and MEP components, ensuring seamless coordination among stakeholders and adherence to Italian BIM standards (UNI 11337).
- Enabled the exploration of multiple design solutions, optimizing spatial layouts, structural integrity, and energy performance through iterative processes.
- Provided real-time monitoring and control, significantly improving energy efficiency and user comfort.
- Facilitated real-time, data-driven building management, supporting predictive maintenance and proactive system optimization.
- Set a benchmark for future projects to prioritize universal accessibility and user comfort.
- Combined with real-time data analysis, these systems contributed to significant energy savings and operational efficiency.
- The use of BIM facilitated precise modeling and effective stakeholder coordination, setting a standard for detailed and accurate digital representations in heritage conservation projects.
- Generative Design enabled the exploration of various design alternatives, optimizing spatial layouts, structural integrity, and energy performance.
- The integration of a digital twin and IoT sensors showcased the potential for real-time, data-driven building management, enhancing building performance and sustainability.
- Emphasized the importance of designing accessible and inclusive spaces, setting a benchmark for future projects.
- The implementation of automated systems for HVAC, lighting, and shading, combined with real-time data analysis, contributed to significant energy savings and operational efficiency.
- Further research is needed to enhance the user interface, computational power, and algorithmic capabilities of these tools, making them more accessible and effective for practitioners.
- Improving the accuracy and reliability of digital twins through advanced sensors and improved data analytics techniques, including the application AI and ML, can lead to more predictive and adaptive building management systems.
- Developing more robust and interoperable IoT ecosystems, standardizing communication protocols, ensuring data security, and enhancing scalability are crucial for the broader adoption of IoT in building management.
- Research into integrating renewable energy sources with BIM and automated management systems, as well as using BIM for lifecycle assessment and management of building materials, can contribute to more sustainable construction practices.
- Studying the impact of inclusive design on user experience and community engagement can provide valuable insights for future projects, ensuring that built environments cater to diverse user needs.
- Developing specialized BIM tools and techniques tailored for heritage conservation, improving the accuracy of digital models of historical structures, and creating guidelines for minimally invasive structural reinforcements can enhance the preservation and modernization of historical buildings.
Author Contributions
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
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