DigiTwin
Digital twin for new-generation smart buildings
Buildings are a fundamental part of our daily lives, which largely take place inside them. These properties of all subject, including homes, work, hospitals, schools, and any public or private building, are nevertheless the largest consumers of energy in the European Union and are among the main emitters of carbon dioxide. In fact, globally they are responsible for 30% of energy consumption and 28% ofCO2 emissions.
In this context, the main European and international policies, regulations, and certifications have focused on renovating the building stock with a view to optimizing the energy efficiency of the buildings themselves. In fact, in order to steer the sector towards climate neutrality by 2050, the targets are to halve emissions by 2030.
In this context, the consortium proposed by the project, formed by i3i Ingeniería Avanzada and the University of Navarra, aware of the obvious need and opportunity, undertakes this project the goal of offering new energy optimization strategies through the integration of a Digital Twin in the building's BMS, which, based on a new concept of monitoring, filtering, and data analysis, and a state-of-the-art model , is capable of accurately predicting the building's behavior.
General objective
Offer new energy optimization strategies by integrating a Digital Twin into the building's BMS, which, based on a new concept of monitoring, filtering, and data analysis, and a state-of-the-art model , is capable of accurately predicting the building's behavior.
Specific objectives
Remotely monitor, in real time, using a standardized data collection, filtering, and analysis system, the different verticals and supplies of the building: air conditioning, lighting, DHW, etc. / electricity, renewables, gas, etc.
Provide an tool for characterizing and predicting building behavior and systems, enabling the establishment of scalable and optimized management control strategies (schedules, renewables, set points) based on data .
Create healthier and more comfortable buildings.
Reduce the expense of buildings by 35%–60%.
Enable the integration of the solution into any building.
Principal Investigators
Team researcher
Ignacio Tadeo Albalá Fernández
María Fernández-Vigil Iglesias
Maria del Carmen Garcia Hipola
Cristina Nuevo Gallardo
José Pachano
Duration:
September 1, 2022 - August 31, 2025
Financing and financing entity:
€248,968 (University of Navarra), State research Agency
Location:
Pamplona and Cáceres
core topic
WHY IS THIS project NECESSARY?
The project from the need to reduce the high energy consumption and carbon emissions associated with buildings, which currently represent one of the main sources of environmental impact.
There is currently a significant gap between the models used to predict the energy performance of buildings and their actual behavior. Therefore, it is necessary to develop new, more accurate and predictive tools that enable the effective optimization of management in buildings.
WHAT SOLUTIONS IS THE project EXPLORING?
Integration of a Digital Twin into the management system (BMS). This solution will be supported by an advanced monitoring, filtering, and data analysis system, together with a state-of-the-art model capable of predicting the actual behavior of the building.
how does this project affect society?
The project a significant impact on society by helping to reduce the environmental impact of the Building sector, one of the main consumers of energy. Optimizing energy consumption will reduce greenhouse gas emissions and advance European climate goals.
In addition, the proposal solution proposal generate economic benefits by reducing the energy costs associated with the operation of public and private buildings, such as homes, hospitals, schools, and work.
On the other hand, the project contributes to improving people's quality of life by promoting healthier, more efficient, and more comfortable indoor spaces. At the same time, it drives technological innovation in the field of smart buildings, promoting a more sustainable and data management model .
Overall, the project to moving towards more sustainable, efficient, and resilient cities, aligned with current energy and climate challenges.
Participating partners
