4 ms·
It also facilitates half hourly settlement. Previously we used standard profile curves based on the average household to attribute consumption to each 30 minute
by mnahkies 2y ago
It also facilitates half hourly settlement. Previously we used standard profile curves based on the average household to attribute consumption to each 30 minute settlement period, where with smart meters sending half hourly reads you can settle based on the actual consumption.
The transition period includes "elective half hourly settlement" which basically means that as a supplier you can selectively settle meters on a half hourly basis, which created an interesting (but time limited) arbitrage opportunity where you could do some data science to predict which meters would be beneficial to settle half hourly or not
Refs
- https://www.ofgem.gov.uk/energy-policy-and-regulation/policy-and-regulatory-programmes/electricity-settlement-reform https://www.ofgem.gov.uk/energy-policy-and-regulation/policy...
- https://www.elexon.co.uk/settlement/profiling/ https://www.elexon.co.uk/settlement/profiling/
- Scoundreller 2y agoI’m a bit confused: why do they need visibility into individual household’s load to accomplish this? Can’t you just look at what the whole city is drawing and order based on that? Or do you mean fully dynamic pricing/billing to end users?
- toast0 2y agoI think this is for situations where customers can choose a 3rd party energy provider. The utility transmits energy to the user and settles with the energy provider. Makes sense to settle that up near real time, I guess.
- mnahkies 2y agoThis is on the wholesale side - as a supplier your customers consume energy which you're responsible for purchasing, and it's priced in 30 minute chunks. To get visibility into when your specific customers are consuming energy you need smart meter data from the household level