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Modelling and simulation infrastructure for smart energy and renewable technologies integration in urban districts
The 196 parties attending the conference on climate changes (COP21) in Paris highlighted the need of reducing greenhouse gas emissions [1]. In this regard, in the last years, many countries are providing incentives to promote the deployment of low-carbon and sustainable energy production technologies [2], generation such as Photovoltaic (PV) Systems. The International Energy Agency reports that [3] installation of Renewable Energy Sources (RES), Distributed Generation (DG) and an optimization of consumption with a smart use of energy is required in our cities in order to achieve the goal of reducing green house emissions. ICT technologies, in particular the Internet of Things, enable the possibility of controlling and optimizing consumption [4] hence increasing energy efficiency. The transition from centralized production system to a distributed generation, that can be based on renewable or on conventional sources, substantially modifies the operation of electricity networks: the direction of power flows in the MV lines and even in high voltage/medium voltage (HV/MV) transformers can be reversed, voltage profiles are modified, fault management is affected [5, 6], etc. For all these reasons, distribution networks need to become Smart and new control strategies, algorithms and technologies need to be tested and validated before their implementation and installation in real systems. In this context, ICT play a crucial role in both planning expansion and monitoring operation of distributed energy sources. The crucial roles of ICT and the emerging Internet-of-Things (IoT) are highlighted by the spread diffusion of heterogeneous and pervasive sensors in our houses, district and cities. IoT devices and sensors allow to collect large amounts of energy related data capable of describing the consumption behaviours of the citizens. Hence, the increasing presence of sensors calls for the development of distributed software infrastructure for exploiting such IoT devices for data management and collection. Furthermore, IoT ...
Modelling and simulation infrastructure for smart energy and renewable technologies integration in urban districts
The 196 parties attending the conference on climate changes (COP21) in Paris highlighted the need of reducing greenhouse gas emissions [1]. In this regard, in the last years, many countries are providing incentives to promote the deployment of low-carbon and sustainable energy production technologies [2], generation such as Photovoltaic (PV) Systems. The International Energy Agency reports that [3] installation of Renewable Energy Sources (RES), Distributed Generation (DG) and an optimization of consumption with a smart use of energy is required in our cities in order to achieve the goal of reducing green house emissions. ICT technologies, in particular the Internet of Things, enable the possibility of controlling and optimizing consumption [4] hence increasing energy efficiency. The transition from centralized production system to a distributed generation, that can be based on renewable or on conventional sources, substantially modifies the operation of electricity networks: the direction of power flows in the MV lines and even in high voltage/medium voltage (HV/MV) transformers can be reversed, voltage profiles are modified, fault management is affected [5, 6], etc. For all these reasons, distribution networks need to become Smart and new control strategies, algorithms and technologies need to be tested and validated before their implementation and installation in real systems. In this context, ICT play a crucial role in both planning expansion and monitoring operation of distributed energy sources. The crucial roles of ICT and the emerging Internet-of-Things (IoT) are highlighted by the spread diffusion of heterogeneous and pervasive sensors in our houses, district and cities. IoT devices and sensors allow to collect large amounts of energy related data capable of describing the consumption behaviours of the citizens. Hence, the increasing presence of sensors calls for the development of distributed software infrastructure for exploiting such IoT devices for data management and collection. Furthermore, IoT ...
Modelling and simulation infrastructure for smart energy and renewable technologies integration in urban districts
BOTTACCIOLI, LORENZO (Autor:in) / Bottaccioli, Lorenzo / MACII, Enrico
05.04.2018
Hochschulschrift
Elektronische Ressource
Englisch
DDC:
690
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