multiFLEX: Flexible Multi-Utility, Multi-Service Smart Metering Architecture for Energy Vectors with Active Prosumers

In order to move forward the vision of Smart Grid, a flexible multi-utility and multi-service metering architecture is needed to allow innovative services and utilities for the different actors playing in this scenario. To achieve this, different meters (e.g. electric, water, heating and gas meters) must be integrated into a distributed architecture in order to gather and analyse heterogeneous data. Hence, such architecture provides in real-time a complete overview of the energy consumption and production in the grid from different prospectives. From customer viewpoint, this information can be used to provide user awareness and suggest green behaviours, thus reducing energy waste. From energy operator or utility provider viewpoint, for instance such analysis can: i) improve the demand response for optimizing the energy management during peak periods; ii) profile consumer energy behaviours for predicting the short term energy demand; iii) improve energy and market efficiency. In this paper, we discuss the characteristics of this infrastructure and its expected impacts on utility providers, energy operators and customers

Towards a software infrastructure for district energy management

Nowadays ICT is becoming a key factor to enhance the energy optimization in our cities. At district level, real-time information can be accessed to monitor and control the energy distribution network. Moreover, the fine grain monitoring and control done at building level can provide additional information to develop more efficient control policies for energy distribution in the district. In this paper we present a distributed software infrastructure for district energy management, which aims to provide a digital archive of the city in which energetic information is available. Such information is considered as the input for a decision system, which aims to increase the energy efficiency by promoting local balancing and shaving peak loads. As case study, we integrated in our proposed cloud the heating distribution network in Turin and we present exploitable options based on real-world environmental data to increase the energy efficiency and minimize the peak reques

Scenarios of Electromobility. Cross ferilisation and Dissemination of Best Practices and Researches within EU Policies Webinar proceedings

La pubblicazione riporta gli esiti del webinar incentrato sull'user center design dei veicoli elettrici, delle loro infrastrutture di ricarica e sulle sperimentazioni dei veicoli elettrici leggeri nei sistemi di trasporto urbano di Torino e Venaria Reale (IT), Villach (Austria) e Calvià (Spagna). La pubblicazione e il seminario sono parte del progetto STEVE, finanziato dal programma europeo Horizon2020, e incentrato sulla sperimentazione di modelli di mobilità elettrica leggera nelle aree urbane. Il progetto ha coinvolto città, piccole e medie imprese e università di sette paesi europei. Urban Lab ha collaborato con la Città di Torino a delineare le raccomandazioni rivolte ai decision makers in materia di pianificazione della mobilità urbana, emerse dai risultati dei tre anni di progetto

multiFLEX: Flexible Multi-utility, Multi-service Smart Metering Architecture for Energy Vectors with Active Prosumers

In order to move forward the vision of Smart Grid, a flexible multi-utility and multi-service metering architecture is needed to allow innovative services and utilities for the different actors playing in this scenario. To achieve this, different meters (e.g. electric, water, heating and gas meters) must be integrated into a distributed architecture in order to gather and analyse heterogeneous data. Hence, such architecture provides in real-time a complete overview of the energy consumption and production in the grid from different prospectives. From customer viewpoint, this information can be used to provide user awareness and suggest green behaviours, thus reducing energy waste. From energy operator or utility provider viewpoint, for instance such analysis can: i) improve the demand response for optimizing the energy management during peak periods; ii) profile consumer energy behaviours for predicting the short term energy demand; iii) improve energy and market efficiency. In this paper, we discuss the characteristics of this infrastructure and its expected impacts on utility providers, energy operators and customer

Energy Signature Analysis: Knowledge at Your Fingertips

none11nomixedACQUAVIVA, ANDREA; APILETTI, DANIELE; ATTANASIO, ANTONIO; BARALIS, ELENA MARIA; BOTTACCIOLI, LORENZO; Castagnetti, Federico Boni; CERQUITELLI, TANIA; CHIUSANO, SILVIA ANNA; MACII, Enrico; Martellacci, Dario; PATTI, EDOARDOACQUAVIVA, ANDREA; APILETTI, DANIELE; ATTANASIO, ANTONIO; BARALIS, ELENA MARIA; BOTTACCIOLI, LORENZO; Castagnetti, Federico Boni; CERQUITELLI, TANIA; CHIUSANO, SILVIA ANNA; MACII, Enrico; Martellacci, Dario; PATTI, EDOARD