SPECIAL SESSION #9
Towards the digital built environment: high-quality measurements to deliver data-driven services
ORGANIZED BY
Gian Marco Revel
Gian Marco Revel
Università Politecnica delle Marche, Italy
Diego Arnone
Diego Arnone
Engineering Ingegneria Informatica Spa, Italy
Sara Casaccia
Sara Casaccia
Università Politecnica delle Marche, Italy
Nicole Morresi
Nicole Morresi
Università Politecnica delle Marche, Italy
Serena Serroni
Serena Serroni
Università Politecnica delle Marche, Italy
Vittoria Cipollone
Vittoria Cipollone
Università Politecnica delle Marche, Italy
ABSTRACT
Recent advancements in sensor developments are boosting the process of digitalization of the built environment (BE), which acts as source of a great amount of heterogeneous data. Measured data are used to develop services in response to global housing needs, while preserving occupants’ well-being, reducing carbon footprint, improving energy-efficient and cost-effective performance of buildings. Another important challenge to address in the BE is to guarantee data collection, ensuring high data quality by means of proper and advanced data diagnostic techniques.
In this context, the aim of this special session is to address the latest research outcomes in the field of new sensing systems and measurement techniques to collect data in BE, guaranteeing data quality, considering calibration techniques, measurement of uncertainty, accuracy estimation and data filtering techniques. In addition, this special session is looking for studies in which complex data processing, e.g., AI-based data-driven methodologies, are applied to manage heterogeneous data for the BE, with a focus on defining services related to energy profiling and forecasting, energy resources management and services for enhanced comfort and well- being of occupants.
The session is promoted by the DIGIBuild project – funded by European Union in the framework of Horizon Europe under Grant Agreement n. 101069658 – whose aim is to develop an infrastructure where traditional silo approaches, in which stakeholders manage their own data, could be replaced by digital and smart buildings, merging heterogeneous data sources, and placing the stakeholders as the core of these buildings by making use of high-quality data and next generation digital building services, supporting the deployment of EU-wide Framework for a Digital Building Logbook.
ABOUT THE ORGANIZERS
Gian Marco Revel is Full Professor in Mechanical and Thermal Measurement at Università Politecnica delle Marche, where he is Rector Delegate for European Research. He received the Ph.D. degree in mechanical measurements from Università degli Studi di Padova in 1998. His research focuses on sensors and measurement technologies for buildings, health and industrial applications, with a particular focus on comfort and human behaviour and diagnostics.
Sara Casaccia is an Assistant Professor at the Department of Industrial Engineering and Mathematical Sciences (DIISM) of Università Politecnica delle Marche (UNIVPM). Her research focuses on sensors and measurement techniques for supporting people in life environments (e.g. comfort, wellbeing), data processing to extract complex information (e.g. using AI), sensors for health, buildings and industrial applications.
Nicole Morresi, PhD in Mechanical and Thermal Measurements from Università Politecnica delle Marche, is Research Fellow at Università Politecnica delle Marche. Her research focuses on the development of sensor networks and measurement techniques for supporting people in the built environment (e.g. IEQ, comfort and wellbeing), data analysis of heterogeneous datasets using AI-based techniques, and sensors for buildings and infrastructures, health and industrial application.
Serena Serroni is Research Fellow at department of Industrial Engineering and Mathematical Sciences (DIISM) of UNIVPM. She is working on European projects related to different aspects of Indoor Environmental Quality, monitored through IoT system and in supporting the development of measurement techniques and digital services in relation to the construction industry buildings and the built environment. She has a master’s degree in biomedical engineering (UNIVPM) and a PhD in Thermal and Mechanical measurement.
Vittoria Cipollone is a Ph.D. student at the Department of Industrial Engineering and Mathematical Sciences (DIISM) of Università Politecnica delle Marche (UNIVPM). Her research focuses on measurement techniques for comfort assessment to guarantee human well-being in indoor spaces, IoT sensors for building and health applications, data processing through Artificial Intelligence and Machine Learning techniques.
