Nowadays, with the deployment of renewable energy sources (RESs), the power generation systems deeply changed and consequently the power grid had to adopt new management methods and technologies to guarantee the security and the stability. It is raised the need to install battery energy storage systems (BESSs), to control stochastic energy sources, and to manage energy consumption in a better way by distributing production over a longer period. The new concept evolves, called Energetic Island (EI), where an aggregated energy consumption, an energy storage system and a local system of energy production, mainly based on the usage of renewable energy, work together to guarantee an optimal energetic balance and reliability. This thesis is inspired by a real study case, the “Smart IsLand Energy systems” (SMILE) project, coordinated by RINA Consulting S.p.A. and made up off three different pilot projects. In particular, the thesis deals with the pilot project based in Samsø (Denmark), mainly focusing on the Ballen marina. The objective of this work is the optimization study for the sizing of the BESS to be installed close to the service building. The algorithm developed is proposed as support to the EI manager in the correct choice of the battery, considering the harbour consumptions and the photovoltaic power plant production. On the roof of the service building, there is already installed a 30kW photovoltaic power plant. The optimization algorithm takes into account a technical-economic evaluation, evaluating both optimal network power exchanges and the minimization of the levelized cost of storage (LCOS). In summary, the entire analysis aims to inform about the advantages that could be obtained by installing a BESS, with photovoltaic generation, providing more detailed knowledge about the sizing of the system. The input data of the project has been provided by RINA Consulting S.p.A.
Oggigiorno, con il dispiegamento delle fonti di energia rinnovabile (FER), i sistemi di generazione di energia sono profondamente cambiati e di conseguenza la rete elettrica ha dovuto adottare nuovi metodi e tecnologie di gestione per garantire la sicurezza e la stabilità al suo interno. È nata la necessità di installare sistemi di accumulo di energia, allo scopo di controllare le fonti di energia stocastiche e di gestire il consumo energetico in un modo migliore, distribuendo la produzione su un periodo più lungo. Si è sviluppato un nuovo concetto denominato Energetic Island (EI), dove un consumo energetico aggregato, un sistema di accumulo dell'energia e un sistema locale di produzione di energia principalmente rinnovabile, collaborano per garantire un equilibrio energetico e un'affidabilità ottimale. La tesi si ispira a un caso di studio reale, il progetto "SMart IsLand Energy systems" (SMILE), coordinato da RINA Consulting S.p.A. che coinvolge tre diversi progetti pilota. In particolare, la Tesi si concentra sul progetto pilota di Samsø (Danimarca), e più specificamente sul porto turistico di Ballen, uno dei quattro porti presenti. L'obiettivo della tesi è lo studio di ottimizzazione per il dimensionamento del sistema di accumulo di energia da installare vicino all’edificio di servizio del porto. L'algoritmo sviluppato è proposto come supporto al gestore dell'isola energetica nella scelta corretta della batteria, considerando i consumi portuali e la produzione dell’impianto fotovoltaico. Sul tetto dell’edificio di servizio è presente un impianto fotovoltaico da 30kW. L'algoritmo di ottimizzazione tiene conto di una valutazione tecnico-economica, considerando sia gli scambi ottimali di energia con la rete, sia la minimizzazione del levelized cost of storage (LCOS). In sintesi, l'intera analisi ha lo scopo di informare sui vantaggi che si potrebbero ottenere installando un sistema di accumulo di energia in concomitanza con una generazione fotovoltaica, fornendo una conoscenza più dettagliata riguardo il dimensionamento del sistema. I dati di input del progetto di tesi sono stati forniti da RINA Consulting S.p.A.
Sizing of battery energy storage system in a real Danish energetic island to compensate the harbour peak demand and to support the photovoltaic power plant production
ROCCATAGLIATA, FABIOLA
2017/2018
Abstract
Nowadays, with the deployment of renewable energy sources (RESs), the power generation systems deeply changed and consequently the power grid had to adopt new management methods and technologies to guarantee the security and the stability. It is raised the need to install battery energy storage systems (BESSs), to control stochastic energy sources, and to manage energy consumption in a better way by distributing production over a longer period. The new concept evolves, called Energetic Island (EI), where an aggregated energy consumption, an energy storage system and a local system of energy production, mainly based on the usage of renewable energy, work together to guarantee an optimal energetic balance and reliability. This thesis is inspired by a real study case, the “Smart IsLand Energy systems” (SMILE) project, coordinated by RINA Consulting S.p.A. and made up off three different pilot projects. In particular, the thesis deals with the pilot project based in Samsø (Denmark), mainly focusing on the Ballen marina. The objective of this work is the optimization study for the sizing of the BESS to be installed close to the service building. The algorithm developed is proposed as support to the EI manager in the correct choice of the battery, considering the harbour consumptions and the photovoltaic power plant production. On the roof of the service building, there is already installed a 30kW photovoltaic power plant. The optimization algorithm takes into account a technical-economic evaluation, evaluating both optimal network power exchanges and the minimization of the levelized cost of storage (LCOS). In summary, the entire analysis aims to inform about the advantages that could be obtained by installing a BESS, with photovoltaic generation, providing more detailed knowledge about the sizing of the system. The input data of the project has been provided by RINA Consulting S.p.A.File | Dimensione | Formato | |
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https://hdl.handle.net/10589/146035