29 Nov

Within the framework of Sustain Eurocluster, this third webinar aims to provide valuable insights into the practical application of digital twins and AI in improving energy efficiency within the building sector, with real-world examples and lessons learned from SMEs in the field. The session is scheduled for November 29, 2023, from 10 to 11 am (CET), with a total duration of 1 hour and it is divided into two main sections: theory and practical use cases.

The application of digital twins and artificial intelligence (AI) in the building sector is revolutionizing how we approach energy efficiency. Digital twins create virtual replicas of buildings, capturing real-time data on everything, from temperature and occupancy to energy consumption and equipment performance. AI algorithms then analyse this data to make informed decisions that optimize energy usage. For instance, AI can adjust heating, cooling, and lighting based on real-time conditions, ensuring comfort while minimizing energy waste. Predictive analytics can also forecast energy demands, optimizing usage during peak hours. Fault detection algorithms can identify and address equipment inefficiencies before they escalate.

Moreover, digital twins and AI foster sustainability by integrating renewable energy sources and managing energy storage solutions. They also enhance occupant engagement, providing real-time feedback on energy consumption to encourage responsible usage.

In essence, digital twins and AI transform buildings into smart, energy-efficient ecosystems that reduce costs, lower environmental impact, and create more comfortable and sustainable living and working environments. Their application is pivotal in addressing energy challenges, reducing greenhouse gas emissions, and advancing the building sector towards a greener and more efficient future.

The first part of the webinar will be presented by Regina Enrich Sard, a senior researcher at EURECAT.

Topics to Address in the Technical Part:

1. Theory on Digital Twins and Artificial Intelligence in Energy Efficiency (30 minutes):

In this section, the webinar will cover the theoretical aspects of digital twins and artificial intelligence in the context of energy efficiency in buildings. The following topics will be addressed:

1. What are Digital Twins and Their Application in Construction: Explanation of digital twins and their relevance in the construction industry.
2. Role of Artificial Intelligence in Energy Optimization of Buildings: Discussion of how artificial intelligence contributes to energy optimization in building operations.
3. Previous Success Stories in the Implementation of These Technologies: Presentation of real-world success stories and case studies that showcase the effective use of digital twins and artificial intelligence in achieving energy efficiency goals.

Practical Part of Examples (30 minutes, 15 minutes for Each Case):

In this section, the webinar will delve into practical use cases, specifically focusing on how digital solutions based on digital twins and artificial intelligence have been applied to address energy efficiency challenges in the building sector. Two use cases will be presented, each lasting for 15 minutes:

Use Case 1 (15 minutes):VERTLINER

• Specific Energy Challenges Faced by SMEs in the Building Sector:
• Identification of the energy-related challenges encountered by SMEs in the building sector.
• Adoption of Digital Solutions Based on Digital Twins and Artificial Intelligence:
• Explanation of how digital solutions leveraging digital twins and AI were adopted to address these challenges.
• Quantitative Results:
• Presentation of measurable outcomes in terms of energy efficiency gains, cost savings, and sustainability improvements.
• Lessons Learned and Recommendations:
• Insights into the lessons learned during implementation and practical recommendations for other SMEs interested in similar solutions.

Use Case 2 (15 minutes): COMSA

• Description of the SME and Its Focus on Energy Efficiency in Buildings:
• Introduction to the SME and its specific focus on energy efficiency in building operations.
• Concrete Examples of Digital Twin and AI Implementation:
• Showcase of concrete examples highlighting how digital twin and artificial intelligence technologies were implemented.
• Impact on Energy Consumption Reduction and Operational Management:
• Discussion of the measurable impact on reducing energy consumption and enhancing operational management.
• Challenges and Path to Success:
• Reflections on the challenges encountered during the implementation journey and the steps taken to achieve success.