Average VRFB energy storage price per 50MW in Guernsey

How much does a VRFB cost?

To validate our model outputs, we compare our base case to other LCOS models of VRFBs in the open literature. Lazard's annual levelized cost of storage analysis is a useful source for costs of various energy storage systems, and, in 2018, reported levelized VRFB costs in the range of 293–467 $ MWh −1 (for mid-scale systems ~10 MWh) .

Can a VRFB be rebalanced?

In contrast, VRFBs can be rebalanced to restore lost capacity without additional capital expenditure. Thus, while VRFBs have significantly higher capacity fade rates than state-of-the art Li-ion batteries, the resilience of the VRFB electrolyte may lead to cost savings over the project lifetime.

Does reducing membrane cost affect VRFB LCoS performance?

While more detailed treatments of membrane performance within the environment of an operating cell as well as the effects of application-specific cycling need to be contemplated, this initial analysis suggests that reducing membrane cost rather than improving selectivity will have a greater effect on VRFB LCOS.

How do you recover a lost capacity in a VRFB?

The primary method for recovering the lost capacity in VRFBs is termed rebalancing, where the negative and positive electrolytes are mixed to equilibrate the concentration of vanadium ions in each electrolyte. Rebalancing is generally performed once the accessible capacity drops to a predefined level that is determined by application requirements.

Is long-term VRFB cycling data available?

It is important to note the limited amount of long-term VRFB cycling data in the open literature as compared to shorter-term cell tests (i.e. cyclic voltammograms, IV polarizations, etc.), likely because cycling analyses are both more time-consuming and experimentally challenging.

What is a battery rebalancing and servicing framework?

The framework offers a systematic means of assessing battery operation with rebalancing and servicing providing new insights to cost reduction strategies. Leveraging this model, we are able to draw several important conclusions.