This project aims to develop good practices in the building industry by dealing with the integrated design of the architectural envelope and the technological systems. This enables the building designers to maximize the energy performance of the building and the well-being of its occupants, while minimizing the emission of noxious and climate-altering gases through both passive and active means operated by smart technologies. The updated Energy Performance of Buildings Directive (EPBD, 2018/844/EU), introduces the Smart Readiness Indicator (SRI) to measure the ability of a building to optimize the management of all the technological systems by intelligent and interoperable services. Two real case studies will be considered to be evaluated and possibly retrofitted or redesigned in the light of improving their SRI: the first is an existing portion of a building and the second is an already designed building equipped with an “as designed" digital twin. A first SRI evaluation will enable us to plan technically and economically feasible interventions of the two buildings to increase their intelligence. This will make available a measure of the improvements obtainable before implementing the new works. The new SRI ranking after the provided interventions will give us an objective measure of the project’s success as well as an index to evaluate the effectiveness of the interventions and the procedures followed to select and implement them. The results will be beneficial for both the commercial/industrial and research partners and will foster innovation in traditional building market. The whole project will be based on a thorough study of the SRI and the criteria that drive its computation. With the help of a selected group of experts and other stakeholders, a multicriteria evaluation process will be implemented to analyze critically the catalogs of technological services adopted so far by the European Commission as well as the weighting factors adopted to evaluate their impacts on the SRI. When the planned interventions will have been realized, a performance monitoring campaign will start, with the aim to refine the functionalities of the upgraded systems in the light of the SRI criteria. The result will both demonstrate the efficacy of technology addition through real examples and provide really innovative know-how to the project partners. After the project conclusion, the two case-study buildings will become a concrete example of the positive effects of convenient and easy-to-use ICT technologies on energy performance and flexibility of buildings, on the health and well-being of their occupants.
Duration
16 Months
Financial Institution
Ente Pubblico Locale
Latest Announcements
Seminars
Giovani in un'ora - Ciclo di seminari - Prima parte
2024-10-02
Ali Reza Omrani - "Machine Learning to Measure Vocal Stereotypy: An Extension"Abstract: Repeated measurement of behavior is a process central to behavior analysis, but its implementation occasionally requires hiring observers dedicated exclusively to data collection, which may...
A general framework for distributed approximate similarity search with arbitrary distances
2024-09-26
While many similarity search algorithms are specifically adapted to metric distances,they are unsuitable for alternatives like the cosine distance, which has gained popularity, particularly with embeddings and text mining. To address thisissue, we propose GDASC (General Distri...
In this talk, I will focus on a connection between stable-failures refinement and the ioco conformance relation. Both behavioural relations underlie methodologies that have gained traction in industry: stable-failures refinement is used in several commercial Model-Driven Engin...
Explainability in deep learning models applied to spatio-temporal problems
2024-09-13
Artificial Intelligence (AI) is transforming society, affecting everything from industry to decision making, and concerns about its transparency have increased. Explainable Artificial Intelligence (XAI) is crucial to address this problem, allowing to obtain a better understand...
Outlier Dimension in LLMs and Multidmodal-LLMs: Mechanisms for Task Adaptation and Factual Recall
2025-04-04
Understanding how models embed tokens in vector space is critical for interpreting their behavior. This talk explores the geometric properties of Large Language Model (LLM) embeddings and Multimodal-LLM (MLLM) embeddings through three studies.The first study introduces IsoScor...
Giovani in un'ora - Ciclo di seminari - Quinta parte
2024-11-27
Giulio Del Corso - "Generating a physically accurate cardiac MRI: a story of (interesting) failures and (justifiable) numerical shortcuts"Abstract: "The generation of physically accurate cardiac-MRI video sequences is a challenging topic that requires a combination of modern g...
Giovani in un'ora - Ciclo di seminari - Quarta parte
2024-11-20
Luca Ciampi - "Mind the Prompt: A Novel Benchmark for Prompt-based Class-Agnostic Counting"Abstract: "Object counting estimates the number of objects in images or video frames. Studies reveal that the human brain employs two distinct methods for counting objects owing to the s...
Giovani in un'ora - Ciclo di seminari - Terza parte
2024-10-16
Gabriele Lagani - "Hebbian learning algorithms for deep neural networks: explorations and outlooks"Abstract: Deep learning systems have achieved outstanding results in various AI tasks. However, such system suffer from a number of limitations, for example in terms of energy an...
Giovani in un'ora - Ciclo di seminari - Seconda parte
2024-10-09
Saira Bano - "From Complexity to Clarity: Enhancing Cross-Modal Knowledge Distillation via Multimodal Teacher Ensembles"Abstract: Traditional knowledge distillation (KD) typically uses a large, complex teacher model, often trained to a single modality, to transfer knowledge to...
Patient Interaction – for well-being, productivity and sustainability
2024-10-08
We live in aworld of instant results and fleeting gratification. In HCI no less: the designprinciples for direct manipulation require immediate feedback and, in the caseof graphical actions, sub-second responses. In addition, computers expect us togive them our undivided atten...
Giovani in un'ora - Ciclo di seminari - Prima parte
2024-10-02
Ali Reza Omrani - "Machine Learning to Measure Vocal Stereotypy: An Extension"Abstract: Repeated measurement of behavior is a process central to behavior analysis, but its implementation occasionally requires hiring observers dedicated exclusively to data collection, which may...
A general framework for distributed approximate similarity search with arbitrary distances
2024-09-26
While many similarity search algorithms are specifically adapted to metric distances,they are unsuitable for alternatives like the cosine distance, which has gained popularity, particularly with embeddings and text mining. To address thisissue, we propose GDASC (General Distri...
In this talk, I will focus on a connection between stable-failures refinement and the ioco conformance relation. Both behavioural relations underlie methodologies that have gained traction in industry: stable-failures refinement is used in several commercial Model-Driven Engin...
Explainability in deep learning models applied to spatio-temporal problems
2024-09-13
Artificial Intelligence (AI) is transforming society, affecting everything from industry to decision making, and concerns about its transparency have increased. Explainable Artificial Intelligence (XAI) is crucial to address this problem, allowing to obtain a better understand...
Outlier Dimension in LLMs and Multidmodal-LLMs: Mechanisms for Task Adaptation and Factual Recall
2025-04-04
Understanding how models embed tokens in vector space is critical for interpreting their behavior. This talk explores the geometric properties of Large Language Model (LLM) embeddings and Multimodal-LLM (MLLM) embeddings through three studies.The first study introduces IsoScor...
Giovani in un'ora - Ciclo di seminari - Quinta parte
2024-11-27
Giulio Del Corso - "Generating a physically accurate cardiac MRI: a story of (interesting) failures and (justifiable) numerical shortcuts"Abstract: "The generation of physically accurate cardiac-MRI video sequences is a challenging topic that requires a combination of modern g...
Giovani in un'ora - Ciclo di seminari - Quarta parte
2024-11-20
Luca Ciampi - "Mind the Prompt: A Novel Benchmark for Prompt-based Class-Agnostic Counting"Abstract: "Object counting estimates the number of objects in images or video frames. Studies reveal that the human brain employs two distinct methods for counting objects owing to the s...
Giovani in un'ora - Ciclo di seminari - Terza parte
2024-10-16
Gabriele Lagani - "Hebbian learning algorithms for deep neural networks: explorations and outlooks"Abstract: Deep learning systems have achieved outstanding results in various AI tasks. However, such system suffer from a number of limitations, for example in terms of energy an...
Giovani in un'ora - Ciclo di seminari - Seconda parte
2024-10-09
Saira Bano - "From Complexity to Clarity: Enhancing Cross-Modal Knowledge Distillation via Multimodal Teacher Ensembles"Abstract: Traditional knowledge distillation (KD) typically uses a large, complex teacher model, often trained to a single modality, to transfer knowledge to...
Patient Interaction – for well-being, productivity and sustainability
2024-10-08
We live in aworld of instant results and fleeting gratification. In HCI no less: the designprinciples for direct manipulation require immediate feedback and, in the caseof graphical actions, sub-second responses. In addition, computers expect us togive them our undivided atten...
Giovani in un'ora - Ciclo di seminari - Prima parte
2024-10-02
Ali Reza Omrani - "Machine Learning to Measure Vocal Stereotypy: An Extension"Abstract: Repeated measurement of behavior is a process central to behavior analysis, but its implementation occasionally requires hiring observers dedicated exclusively to data collection, which may...
A general framework for distributed approximate similarity search with arbitrary distances
2024-09-26
While many similarity search algorithms are specifically adapted to metric distances,they are unsuitable for alternatives like the cosine distance, which has gained popularity, particularly with embeddings and text mining. To address thisissue, we propose GDASC (General Distri...
In this talk, I will focus on a connection between stable-failures refinement and the ioco conformance relation. Both behavioural relations underlie methodologies that have gained traction in industry: stable-failures refinement is used in several commercial Model-Driven Engin...
Explainability in deep learning models applied to spatio-temporal problems
2024-09-13
Artificial Intelligence (AI) is transforming society, affecting everything from industry to decision making, and concerns about its transparency have increased. Explainable Artificial Intelligence (XAI) is crucial to address this problem, allowing to obtain a better understand...