Energy Consumption in a Smart City

• Autore: Nastasi Benedetto
• Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 online resource (270 p.)
• Soggetto topico: Physics; Research & information: general
• Soggetto non controllato: asymmetric duty cycle control; augmented reality; bifilar coil; building energy flexibility; building energy load; Building Information Modelling (BIM); building operation and maintenance; building performance assessment; building performance simulation; buildings office; buildings retrofitting; carbon emission intensity; climate change; CO2 emission; cooling load; daily energy need; decarbonisation of neighbourhoods; difference-in-differences; digital transformation; Digital Twin (DT); digital twins; district energy infrastructure; economic feasibility; energy consumption; energy saving; energy transition; extended reality; future weather; Geographic Information System (GIS); GIS; Green Building Index; green innovation; historical buildings; HOMER software; immersive technologies; indoor environment quality; induction heating; load shifting; metal melting; metaverse; mixed reality; n/a; nZEB; occupant's comfort; occupants' satisfaction; operative temperature; peak clipping; phase shift control; positive energy district; post-occupancy evaluation; pulse density modulation; pulse duty cycle control; Renewable Energy Systems (RESs); Revit software's; series resonant inverter; smart city policy; solar gains; thermal load; TRNSYS; tropical climate; variable frequency control; virtual reality; window allocation; Zero Energy District (ZED)
• Persona (resp. second.): MauriAndrea; NastasiBenedetto
• Sommario/riassunto: A Smart City is the perfect environment to study and exploit the interactions between actors because its architecture already integrates vaious elements to collect data and connect to its citizens. Furthermore, the proliferation of web platforms (e.g., social media and web fora) and the increased affordability of sensors and IoT devices (e.g., smart meters) make data related to a large and diverse set of users accessible, as their activities in the digital world reflect their real-life actions. These new technologies can be of great use for the stakeholders as, on the one hand, they provide them with semantically rich inputs and frequent updates at a relatively cheap cost and, on the other, form a direct channel of communication with the citizens. To fully exploit these new data sources, we need both novel computational methods (e.g., AI, data mining algorithms, knowledge representation) that are suitable for analyzing and understanding the dynamics behind energy consumption and also a deeper understanding of how these methods can be integrated into the existing design and decision processes (e.g., human-in-the-loop processes).Therefore, this Special Issue welcomed original multidisciplinary research works about AI, data science methods, and their integration in existing design/decision-making processes in the domain of energy consumption in Smart Cities.
• Titolo autorizzato: Energy Consumption in a Smart City
• ISBN: 3-0365-5963-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910637793403321
• Lo trovi qui: Univ. Federico II