The production mix (energy generation by source) source URL is listed on L326.
Opening the dataset in LibreOffice Calc, filtering by Region = QLD1, filtering for Current Output > 0, and sorting by Current Output descending does seem to show that the vast bulk of production reported has fuel source descriptor 'Black Coal'.
If that's a bug in the reported data or source, hopefully the ElectricityMap team can jump in to take a look. The data initially seems legit, from searching for some of the power stations listed.
Edit / addendum: worth searching for Australia in the project's GitHub issues too; there's some existing (although not directly related) investigation & validation work ongoing for that module
Also - home solar penetration in QLD is the highest in Australia. Is that not factored in to the equation? It doesn't look that way given 0% renewables shown.
This website is pulling information from public sources, so it can only show public generation & consumption information.
If someone is running a grid-tied solar system, outbound energy might be accounted for in these statistics, but it won't show any immediate consumption of that solar generation by the property, nor will it show any battery storage, it's only capable of showing what goes through the energy meter.
The map is intended to show the emissions intensity of electricity so if you miss a bunch of electricity from distributed generation you will over-estimate the intensity.
Man that was a dumb question. Thanks for clarifying.
So we'd need electric utility companies to share the live data of how many kwh of solar and wind people are selling back to the grid in order to get an accurate regional comparison of real-time carbon intensity?
FWIU, they're already parsing the EIA data; but it's significantly more delayed than the max 2 hour delay specified by ElectricityMap.
Should the EIA (1) source, aggregate, cache, and make more real-time data available; and (2) create a new data item for behind the meter kwh from e.g. residential wind and solar?
> Hourly Electric Grid Monitor is a redesigned and enhanced version of the U.S. Electric System Operating Data tool. It incorporates two new data elements: hourly electricity generation by types of energy/fuel source and hourly sub-regional demand for certain balancing authorities in the Lower 48 states.
> [...]
> EIA does not publish hourly electricity price data, but it does publish wholesale electricity market information including daily volumes, high and low prices, and weighted-average prices on a biweekly basis.
AFAIU, retail intraday rates aren't yet really a thing in the US; but some countries in Europe do have intraday rates (which create incentives for the grid scale energy storage necessary for wide-scale rollout of renewables).
> Energy prices are influenced by a variety of factors that affect the supply and demand equilibrium. On the demand side, commonly referred to as a load, the main factors are economic activity, weather, and general efficiency of consumption. On the supply side, commonly referred to as generation, fuel prices and availability, construction costs and the fixed costs are the main drivers of the price of energy. There's a number of physical factors between supply and demand that affect the actual clearing price of electricity. Most of these factors are related to the transmission grid, the network of high voltage power lines and substations that ensure the safe and reliable transport of electricity from its generation to its consumption.
Which customers (e.g. data centers, mining firms) would take advantage of retail intraday rates?
How does cost and availability of storage affect the equilibrium price of electricity?
>So we'd need electric utility companies to share the live data of how many kwh of solar and wind people are selling back to the grid in order to get an accurate regional comparison of real-time carbon intensity?
You actually need production numbers for what's used "behind the meter" which by its nature is not directly available live or otherwise and has to be estimated.
>Which customers (e.g. data centers, mining firms) would take advantage of retail intraday rates?
Loads! In the UK you can get half-hourly priced electricity even at a domestic level (with a smart meter) and if you have loads that can be be re-scheduled (mainly EV charging but if you had an electric storage heater that would work as ell) you can save quite a lot of money.
Heavy industrial users definitely move usage around both to avoid expensive wholesale charges but also to reduce their transmission connection charges which (in the UK) are based on their usage during the most congested periods of the year. Water companies will vary pump operations for this reason and water pumping and treatment alone is 2% of electricity use.
Data centers definitely pay on a half-hourly settled basis but tend not to shift their workloads around to take advantage, some data centers will run their cooling systems in such a way as to reduce usage during the most expensive few half hours though. I have heard that larger users like Amazon, FB, Google, will automatically load balance between global centers to reduce electricity bills and carbon footprint.
OpenNEM is pulling rooftop solar behind the meter generation data from aggregation sources, I’m unsure if ElectricityMap is also polling this distributed rooftop solar generation data.
https://github.com/tmrowco/electricitymap-contrib/blob/24ea2...
The production mix (energy generation by source) source URL is listed on L326.
Opening the dataset in LibreOffice Calc, filtering by Region = QLD1, filtering for Current Output > 0, and sorting by Current Output descending does seem to show that the vast bulk of production reported has fuel source descriptor 'Black Coal'.
If that's a bug in the reported data or source, hopefully the ElectricityMap team can jump in to take a look. The data initially seems legit, from searching for some of the power stations listed.
Edit / addendum: worth searching for Australia in the project's GitHub issues too; there's some existing (although not directly related) investigation & validation work ongoing for that module