Skip to content
Permalink
Branch: master
Find file Copy path
Find file Copy path
Fetching contributors…
Cannot retrieve contributors at this time
75 lines (53 sloc) 5.67 KB

Curves

The ETM uses hourly curves to model (electricity and hydrogen) demand and supply. The hourly demand/supply is determined using the annual demand/supply and a curve.

Hourly hydrogen demand chart

Example of hourly demand - hydrogen demand

In 2019 we made an inventory of all curves available and updated all ETM-curves and their documentation. This project was carried out in close collaboration with the modelling community. On the 3th of July we closed the project with a mini-symposium. In this mini-symposium we shared our findings, struggles and discussed possibilities of further improvement of curves used in energy modelling.

Overview of curves

We define demand curves, supply curves and time curves. The tables below show a brief overview of the sources and methods currently used.

Demand

Sector Subsector Source Method Comment
Households Space heating TNO TNO curves fitted to temperature and irradiance which enables to generate curves for all years
Collective technologies use G1A curve.
Update with TNO heat loss calculation when data becomes available
Hot water Jordan (2001) Distribution function based on average Dutch household -
Cooling NEDU E1A curve Argumentation of method, update with TNO heat loss calculation when data becomes available
Appliances NEDU E1A curve -
Buildings Space heating NEDU G2A Update with TNO heat loss calculation when data becomes available
Cooling NEDU E3A curve Argumentation of method, update with TNO heat loss calculation when data becomes available
Appliances NEDU E3A curve -
Transport Electric vehicles Movares and ELaad Profiles available:
Movares: week and weekend days for
1) charging everywhere
2) charging at home
3) fast charging.
ELaad: repeating average day for
4) smart charging
5) regular charging
Default curve for cars is charging everywhere.
-
Passenger trains, trams/metro, electric bicycle, motorcycles Movares Charging everywhere Aim to update with measured data (Pro Rail)
Electric busses, electric trucks, freight trains Movares Charging at home (curve peaks during night) Update when specific data becomes available
Hydrogen trucks, hydrogen busses, hydrogen cars - Flat curve -
Industry All sectors exept "other" - Flat curve
Other Gasterra G2C profile -
Agriculture Electricity - Flat curve -
Heat - Flat curve Update when specific data becomes available

Supply

Sector Source Method
Solar "Open Power System Data platform" Profile from measured data, adjusted to match country specific full load hours
Wind "Open Power System Data platform" Profile from measured data, adjusted to match country specific full load hours
Other River Flat curve
Dispatchable technologies Production determined by merit order

For NL2015 the OPSD data is incomplete (< 98% of data points available) Hence, different sources (SoDa: Solar Radiation Data for PV and Ecofys data for wind) have been used to generate this curve.

Time curves

Time curves define how the national production of energy carriers changes over the years (up to 2040)

They are documented in on ETDataset in the source_analyses of the specific datasets. Example for The Netherlands - 2015

For the Netherlands the time curves are based on:

For all other countries the time curves are based on The Primes reference scenario 2016.

Details

ETDataset - curves contains all raw data, scripts and futher explanations.

Discussion

Feedback on the curves we use is very welcome! If you have a comment or a better source please let us know, you can:

You can’t perform that action at this time.