A5108354073- Nuclear reactor physics and engineering
- Nuclear Physics and Applications
- Energy and Environment Impacts
- Smart Grid Energy Management
- Human Mobility and Location-Based Analysis
- Traffic Prediction and Management Techniques
- Nuclear physics research studies
- Energy Efficiency and Management
- Electric Vehicles and Infrastructure
- Transportation Planning and Optimization
- Environmental Impact and Sustainability
- Building Energy and Comfort Optimization
- Social Acceptance of Renewable Energy
- Superconducting Materials and Applications
- Data Mining Algorithms and Applications
- Graphite, nuclear technology, radiation studies
- Diverse academic and cultural studies
- Nuclear Materials and Properties
- Textile materials and evaluations
- Particle accelerators and beam dynamics
- Integrated Energy Systems Optimization
- Data Visualization and Analytics
- Nuclear and radioactivity studies
- Cognitive Science and Education Research
- Multimedia Communication and Technology
National Agency for New Technologies, Energy and Sustainable Economic Development
2006-2025
National Statistical Institute of Portugal
2022
The goal of decarbonization has driven the adoption several intervention strategies across Europe, including promotion Renewable Energy Communities (RECs). This study analyses an electric REC in Italy to explore performance different potential energy mixes combining a biogas-based cogeneration (CHP) system and photovoltaic (PV) plants. analysis is based on real composed 53 members (mainly companies) with Self-Sufficiency Rate (SSR) 92% Self-Consumption (SCR) 60%. Adding 550 residential...
Abstract The ubiquitous presence of smartphones and the ever‐expanding Internet Things are generating a treasure trove data on human movement. We harness power Artificial Intelligence to extract knowledge within this data, in particular for predicting people flows density Smart City. This predictive ability holds immense potential multitude applications, from optimising flow streamlining event planning, while offering powerful tool pre‐emptive identification situations that may lead crowd...
Even if energy efficiency represents a crucial issue for the sustainability of manufacturing industry, companies need to be encouraged in investing their resources this goal. One means facilitate effort is comparison performances with similar factories. Nevertheless, since enterprises are very heterogeneous, these performance values have, even within specified sector, high variability and therefore risk not representative. The dispersion data has decisively decreased. This goal pursued here...
The lockdown period due to the COVID-19 pandemic and consequent adoption of homeworking had effects also on energy sector, by shifting electrical consumption from tertiary residential sector. This article analyzes electric load curves in office at home for a group employees, estimating change Self-Consumption (SC) Self-Sufficiency (SS) when PV plants are installed, during two months (2020) with respect previous year. investigation can help explore impact homeworking, which is now usually...
The electricity production systems, especially those based on nuclear fission, are increasingly facing more tight constraints and subjected to deep analyses the three aspects of economical sustainability, environmental sustainability social sustainability. Nuclear Reactors future development has been outlined in framework GIF (Generation IV International Forum), where Lead Fast Reactor (LFR) is placed among most promising innovative solutions. Many LFR offer a huge improvement from different...
The Study and Production of Exotic Species (SPES) project employs a 100 MeV, 30 mA proton beam that strikes primary target. resulting high-energy neutron flux impinges on secondary target depleted uranium to produce, through fission, beams short-lived, neutron-rich nuclei. This paper deals with some the preliminary shielding calculations for bunker. Monte Carlo is employed MCNPX and, because deep penetrations involved, in-house variance reduction optimiser, direct statistical approach....
The COVID-19 pandemic has accelerated the use of smart working: working activity carried out also outside office and not only at office. This interesting consequences on energy sector, since it can decrease commuting consumption shifts electric from tertiary to domestic sector. In this work performance a (representative) group 10 employees, with classical equipment, been investigated. variation load curves analyzed in home before, during after 2020 lockdown restrictions introduced by Italian...
Novel and widespread ICT Internet of Things (IoT) technology can provide fine-grained real-time information to the tourist sector, both support demand side (tourists) supply (managers organizers). We present POLIS-EYE project that aims build decision-support systems helping tourist-managers organize optimize policies resources. In particular, we focus on a service monitor forecast people presence in areas by combining heterogeneous datasets with special data collected from mobile phone network.