Abstract
Sustainable distric development requires innovative energy use solutions. The aim of this paper is to illustrate the operation of a real energy hub that can satisfy both thermal and electrical demands of a generic user. In particular, a specific case study developed around the smart grid of the University Campus of Savona (Italy), which just completed in 2014, is analysed. The grid includes different cogenerative prime movers and a storage system to manage the thermal load demand. Through a time-dependent thermo-economic hierarchical approach developed by the Authors, the work aims at optimizing the management strategy of the different prime movers to satisfy the energy demand, taking into proper account both the energetic and economic aspects. The analysis was carried out considering two different layouts, with and without a conventional stratified thermal storage, to evaluate the impact of this component in the management of the district.
Highlights
According to the strategy for Climate Action, implemented by the European Commission in 2008, the Member States will reduce their collective greenhouse gas emissions by at least 20% and boost the share of renewable energy to 20% of total consumption by 2020 (UNEP 2012)
Aim of this paper is to study the best management of the energy hub installed in Savona Campus with studying in particular the better operational strategy of the e-hub if a thermal storage is installed
Since the test rig is real installed in a University Campus and from the winter it will contribute to satisfy the load demand of the Campus, the aim of this paper is to find the best operational strategy of the prime movers taking into account only the variable cost and not the economic parameters because there is no investment for the machine
Summary
According to the strategy for Climate Action, implemented by the European Commission in 2008, the Member States will reduce their collective greenhouse gas emissions by at least 20% and boost the share of renewable energy to 20% of total consumption by 2020 (UNEP 2012). From an economic point of view, distributed generation provides power support when load increases during peak demand periods, reducing interruption that may lead to system outages. It reduces the risk of investment, due to the flexibility of its capacity and installation placement. The “smartness” is in the management system, where control strategies aiming at the optimization of technical, economic and environmental issues are typically implemented Under such conditions storing energy will become beneficial, because those who can store energy can generate flexibility and make use of market opportunities. The same simulation was carried out considering with or without this component
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