English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The first and most important purpose of the current research work is toinvestigate the effects that different battery types have on the optimalconfiguration of photovoltaic (PV) and battery systems, from both economic andresilience perspectives. Many industry reports, as well as research papers,have already highlighted the crucial role that storage systems have in thecoming years in the electricity sector, especially when combined with renewableenergy systems (RES). Given the high cost of storage technologies, there is anurgent need for optimizing such integrated energy systems. In this paper, asimulation-based method is adopted and improved, in order to compare differentbattery types based on their characteristics by considering projected trends inthe future. After the introduction of four different battery types, i.e.lead-acid, sodium sulphur, vanadium redox and lithium-ion, the mathematicalmodel for the optimization problem is presented, along with the requiredexplanations. Subsequently, a case study is described and the numericalassumptions are defined. Therein, our specific focus addresses the differentvalues that the four battery types possess in three critical parameters, i.e.battery cost, efficiency and depth of discharge (DoD). Finally, results anddiscussion are provided in an illustrative and informative way. This modelprovides a useful guide for relevant future work in the area, and also servesas a baseline for more comprehensive methodologies regarding optimal sizing ofphotovoltaic and battery systems.

Battery selection for optimal grid-outage resilient photovoltaic and battery systems