A think tank producing rigorous, accessible data for advocates, policymakers, & the public.
Let's say we have a rate proposal...
MADPU approved a $0.06/kWh discount in the winter months (25%)
DOER proposes a $0.16/kWh discount in the winter months (64%)
Unitil's default rate has a $0.26/kWh delivery charge
We start with simulated
load curves and apply some tariffs.
9.4%
25%
if you save, median savings =
$256if you save, median savings =
$368if you save, median savings =
$66787% households who save =
62%households who save =
49% households who save =
Natural Gas
Dynamic effects: how would customer respond to the economic signals in these rates?
Dynamic effects: how would customer respond to the economic signals in these rates?
Cost-causation metrics: How cost-reflective are the rates?
Dynamic effects: how would customer respond to the economic signals in these rates?
Cost-causation metrics: How cost-reflective are the rates?
Peak growth metrics: How would this rate affect peak growth? How is that affected by technology?
Rates matter...
Rates matter... but so does tech.
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