Impact of Household Heterogeneity on Community Energy Storage in the UK
| Autor: | Maria Brucoli, Solomon Brown, Rachael Rothman, Siyuan Dong, Enrique Kremers |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Agent-based model
Charge cycle 020209 energy Photovoltaic system Subsidy 02 engineering and technology Environmental economics Grid Community Energy Storage Energy storage Agent-based modelling Photovoltaics General Energy 020401 chemical engineering Software deployment Lithium-ion battery Energy system simulation 0202 electrical engineering electronic engineering information engineering Environmental science lcsh:Electrical engineering. Electronics. Nuclear engineering Performance indicator 0204 chemical engineering lcsh:TK1-9971 |
| Zdroj: | Energy Reports, Vol 6, Iss, Pp 117-123 (2020) |
| ISSN: | 2352-4847 |
| Popis: | The increasing penetration of Decentralised Energy Resources (DERs) into the residential sector along with a reduction in their subsidy in many countries requires innovative approaches to ensure economic viability. Whilst applications of Household Energy Storage (HES) have been widely investigated and deployed, in recent years communities have been identified as a key scale for energy systems, particularly for energy storage. Community Energy Storage (CES) is therefore a promising alternative deployment model to assist the roll-out of DERs. The power and energy demand may vary significantly with the demographic composition of community; therefore, it is important to evaluate the operation of HES and CES for different communities and hence to assign suitable energy storage options to corresponding objectives. In this work, an Agent Based Model (ABM) is developed that includes household demand heterogeneities, as well as HES and CES, and photovoltaic (PV) systems. The single household models can be aggregated to a community, and hence it is able to simulate the interaction between households in a local, grid connected, energy system. A battery degradation model is also included in order to reproduce the capacity fade of a Li-ion battery over time. The impact on battery performance of the heterogeneous demand within communities is explored using typical performance indicators, such as Self-Consumption Rate (SCR), Self-Sufficiency Rate (SSR) and battery cycle counts. |
| Databáze: | OpenAIRE |
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