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Reference capacities are stated explicitly for each unit to specify the measure.
Costs are determined at reference capacities which are a priori specified.
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The system reference capacity (S_{text{N}} = 100;{text{MW}}).
is modeled as reference capacity losses, which depends linearly on the battery SOC variations [24].
where C ref(t) is the reference capacity defined as the battery maximum storage capacity at time t.
Complexity factors at reference capacity were computed using 2009 USGC cost functions described in Kaiser and Gary (2009) and average active US capacities circa 2014 (Table 13).
The degradation of the battery reference capacity can be caused by two aging situations: during use (cycle aging) and on storage (calendar aging) [8].
Complexity factor functional average values appear in the last column in Table 13 and are slightly larger (about 10%) than the complexity factor at reference capacity values.
These values vary between $81.9 and $93.9 per MWh and $82.6 and $121.8 per tonne of CO2 avoided, respectively, for the S-EGR cases studied at a reference capacity factor of 0.85.
Complexity factors at reference capacity (CFRC) specify "representative" capacities in the cost functions, but the data used in constructing cost functions span a wide spectrum of costs and capacities.
In the reference capacity approach, the use of cost functions improves the reliability and transparency of the calculations and accounts for capacity variation, and since capacity is required in the assessment, it improves specificity since this term must be specified.
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