Periodic Reporting for period 1 - SMARTeeSTORY (Integrated, interoperable, smart and user-centred building automation and control system for better energy performance of non-residential historic buildings coupling physics & data-based approaches)
Reporting period: 2023-05-01 to 2024-10-31
SMARTeeSTORY will propose an integrated building automation and control systems for monitoring and optimizing building energy performance according to an innovative multi-domain approach (integrating SRI domains: HVAC, Dynamic Façade, Lighting, EV), incorporating historical building requirements as well as human requirements by envisaging real-time and active user engagement. SMARTeeSTORY system will automatically detect (interacting with users via specific technologies identified in project early stages,e.g. smart home systems) the building users archetypes (via DRL algorithms) therefore specific preferences (SMARTeeSTORY database of users’ archetypes and preferences in smart buildings – energy demand, comfort, etc.) informing the optimization and control services. Such a system will encompass interoperable and cyber-secure software (cloud-based middleware provided with multiple services for: monitoring & digital twin, analysis and prediction, optimization and control, embedding physics and data-based models for forecasting building energy performance and using Digital Building Logbook as a Common Data Environment) and hardware (advanced edge computers, multi-protocols data gateways, smart and automated sun blinds, smart sensors and actuators for Technical Building Systems integrated control according to occupancy and energy efficiency needs, smart products for user engagement) solutions fully enabling the three functionalities required for a building to become “smart”: i) optimization of operation of technical building systems, ii) adapting to the external environment (including energy grids), changing condition in relation to demands from building occupants. The system will be deployed at TRL 8 in three demo sites (non-residential historic buildings) identified in Latvia, Spain and The Netherlands to demonstrate buildings improved energy performance in correlation to the increased smartness rating.
The project has achieved significant progress through the comprehensive development of various key components essential for its success:
- Platform Architecture Definition: The architecture of the SMARTeeSTORY platform has been meticulously defined, incorporating robust communication protocols. These protocols ensure seamless data transfer and communication between the diverse devices that are either currently installed or will be installed across the three demonstration sites. This foundational framework enables smooth interaction and integration among the platform components.
-Development of a KPIs Panel: A comprehensive panel of Key Performance Indicators (KPIs) has been designed to evaluate the project's outcomes effectively. This panel includes metrics that focus on critical aspects such as user comfort, satisfaction, convenience, well-being, and health. These KPIs will play a vital role in assessing the project's overall impact upon its completion.
-Catalogue of Interaction Strategies: A detailed selection and catalogue of interaction strategies have been created to enhance engagement between users and the smart building systems. This catalogue outlines approaches to optimize user interaction, making the systems more intuitive and responsive to user needs.
-Physics-Based Models for Demo Sites: Advanced physics-based models have been developed for the three demonstration sites. These models will be calibrated and adapted to enable accurate long-term monitoring and short-term forecasting of building performance.
-Control Optimization Algorithms: Control optimization algorithms have been defined to improve the efficiency and performance of the systems. These algorithms aim to enhance energy management and operational functionality, ensuring optimal outcomes.
-Monitoring Campaign Devices and Sensors: A thorough identification and definition of devices and sensors required for monitoring campaigns have been carried out. These campaigns, covering both pre-intervention and post-intervention phases, are essential for capturing data and evaluating the impact of the implemented solutions.
-As-Built BIM Models: Detailed Building Information Modeling (BIM) models have been developed for each of the three demonstration sites. These as-built models provide a precise digital representation of the buildings, serving as a valuable resource for planning, monitoring, and further analysis.
- Platform Architecture Definition: The architecture of the SMARTeeSTORY platform has been meticulously defined, incorporating robust communication protocols. These protocols ensure seamless data transfer and communication between the diverse devices that are either currently installed or will be installed across the three demonstration sites. This foundational framework enables smooth interaction and integration among the platform components.
-Development of a KPIs Panel: A comprehensive panel of Key Performance Indicators (KPIs) has been designed to evaluate the project's outcomes effectively. This panel includes metrics that focus on critical aspects such as user comfort, satisfaction, convenience, well-being, and health. These KPIs will play a vital role in assessing the project's overall impact upon its completion.
-Catalogue of Interaction Strategies: A detailed selection and catalogue of interaction strategies have been created to enhance engagement between users and the smart building systems. This catalogue outlines approaches to optimize user interaction, making the systems more intuitive and responsive to user needs.
-Physics-Based Models for Demo Sites: Advanced physics-based models have been developed for the three demonstration sites. These models will be calibrated and adapted to enable accurate long-term monitoring and short-term forecasting of building performance.
-Control Optimization Algorithms: Control optimization algorithms have been defined to improve the efficiency and performance of the systems. These algorithms aim to enhance energy management and operational functionality, ensuring optimal outcomes.
-Monitoring Campaign Devices and Sensors: A thorough identification and definition of devices and sensors required for monitoring campaigns have been carried out. These campaigns, covering both pre-intervention and post-intervention phases, are essential for capturing data and evaluating the impact of the implemented solutions.
-As-Built BIM Models: Detailed Building Information Modeling (BIM) models have been developed for each of the three demonstration sites. These as-built models provide a precise digital representation of the buildings, serving as a valuable resource for planning, monitoring, and further analysis.
The SMARTeeSTORY project aims to achieve several advancements beyond the state-of-the-art (SoA):
1. Digitalization of Historical Buildings: The project will optimize the energy efficiency of historical buildings without compromising their physical integrity. This will be achieved through the use of wireless technologies for building controls, avoiding the complexity and visual impact of wired installations.
2. Digital Building Logbooks (DBL): SMARTeeSTORY will develop an accessible, secure, reliable, and sustainable DBL, serving as a Common Data Environment (CDE).
3. Integration & Interoperability: A smart hardware infrastructure will be developed to ensure interoperability, flexibility, modularity, and scalability across various building systems and IoT components.
4. Energy-Related Services: The SMARTeeSTORY platform will provide comprehensive services such as monitoring, analysis, predictions, optimization, control, and digital twin (DT) for historic buildings.
5. Integrated Building Automation and Control Systems (BACS): The project will develop a highly interoperable BACS that integrates all technical building systems and user-centered control strategies.
6. User-Centered Control Strategies
7. Smart Predictive Controls: The project will improve and integrate various control strategies, including Model Predictive Control, Optimal Control, and Control for Smart Solar blinds.
8. Models for forecasting short and long term energy performance
1. Digitalization of Historical Buildings: The project will optimize the energy efficiency of historical buildings without compromising their physical integrity. This will be achieved through the use of wireless technologies for building controls, avoiding the complexity and visual impact of wired installations.
2. Digital Building Logbooks (DBL): SMARTeeSTORY will develop an accessible, secure, reliable, and sustainable DBL, serving as a Common Data Environment (CDE).
3. Integration & Interoperability: A smart hardware infrastructure will be developed to ensure interoperability, flexibility, modularity, and scalability across various building systems and IoT components.
4. Energy-Related Services: The SMARTeeSTORY platform will provide comprehensive services such as monitoring, analysis, predictions, optimization, control, and digital twin (DT) for historic buildings.
5. Integrated Building Automation and Control Systems (BACS): The project will develop a highly interoperable BACS that integrates all technical building systems and user-centered control strategies.
6. User-Centered Control Strategies
7. Smart Predictive Controls: The project will improve and integrate various control strategies, including Model Predictive Control, Optimal Control, and Control for Smart Solar blinds.
8. Models for forecasting short and long term energy performance