D1.6 Levelized Cost of Storage (LCOS) Analysis
Jaume Alberola, Evelina Castellana, Díaz, José Carlos, Isaac Herraiz, Alba Lafarga, Enrique Moliner, Lorena Romero · Zenodo (CERN European Organization for Nuclear Research) · 2021
The main purpose of D1.6 is to address a preliminary techno-economic evaluation of the hybridised energy storage system proposed in HYBRIS to position its economic performance with respect to the state-of-the-art. To do so, the characteristic cost parameters of both intended battery technologies combined in HYBRIS have been thoroughly analysed with the input of TOSHIBA and KEMIWATT. Moreover, relevant information of the three different pilot sites has been captured (from pilot site owners and specific regional data) to leverage the final costs according to each particular condition known at current project stage. With this information, by using Levelized cost of storage (LCOS) equations for batteries from the literature, the costs of these types of batteries per kWh returned have been determined. By developing the LCOS equation for a hybrid storage system, the LCOS values for the hybrid electricity storage system (HESS) proposed in HYBRIS have been estimated. The LCOS for both batteries and the HESS have been studied for different charging costs, assuming electricity prices taken from the literature. The reduced cost emerged from a series of optimisation strategies envisioned within the project has also been evaluated. Moreover, different assumptions on the electricity prices due to different contributions of the photovoltaic panels to charge the HESS batteries have been simulated for the three pilot sites. A final positioning analysis has been performed by comparing the LCOS results in HYBRIS with those of state-of-the-art batteries and HESS. Through this work, the project also responds from the very beginning to the specific requirement of H2020-LC-BAT-2019-2020 call, claiming for economical affordability throughout the entire supply chain. Moreover, all the studies addressed herein will pave the way towards a successful technology market uptake, by the premature identification of main economic issues, allowing an agile and live optimisation and improvement.