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Second life battery energy storage system for residential demand response service
The integration of renewable energies and the usage of battery energy storage systems (BESS) into the residential buildings opens the possibility for minimizing the electricity bill for the end-user. This paper proposes the use of batteries that have already been aged while powering electric vehicles, during their main first life application, for providing residential demand response service. The paper considers the decayed characteristics of these batteries and optimizes the rating of such a second life battery energy storage system (SLBESS) for maximizing the economic benefits of the user's energy consumption during a period of one year. Furthermore, simulations were performed considering real data of PV generation, consumption, prices taken from the Spanish market and costs of battery and photovoltaic systems.
- Aalborg University Denmark
- Aalborg University Library (AUB) Denmark
- Aalborg University Library (AUB) Denmark
- Aalborg University Denmark
- Aalborg University Library (AUB) Aalborg Universitet Research Portal Denmark
Optimization, Lithium batteries, Second Life, Power demand, Renewable energy sources, Optimal control
Optimization, Lithium batteries, Second Life, Power demand, Renewable energy sources, Optimal control
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).36 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
