|
|
| Line 23: |
Line 23: |
| | |Additional software=Visual Studio 2010 / Visual C++ 2010 Express Edition | | |Additional software=Visual Studio 2010 / Visual C++ 2010 Express Edition |
| | |GUI=Yes | | |GUI=Yes |
| | + | |sectors=electricity, district heating, Gas, |
| | |technologies=Renewables, Conventional Generation, CHP | | |technologies=Renewables, Conventional Generation, CHP |
| | |Demand sectors=Households, Industry, Commercial sector | | |Demand sectors=Households, Industry, Commercial sector |
| Line 43: |
Line 44: |
| | |Observation period=Less than one month, Less than one year | | |Observation period=Less than one month, Less than one year |
| | |Additional dimensions (Ecological)=CO2 Emissions | | |Additional dimensions (Ecological)=CO2 Emissions |
| − | |Additional dimensions (Economical)=Total cost of heat and electricity sector | + | |Additional dimensions (Economical)=Total cost of heat and electricity sector |
| | |Additional dimensions (Other)=Control behaviour, e.g. stability of electric grid frequency control | | |Additional dimensions (Other)=Control behaviour, e.g. stability of electric grid frequency control |
| | |math_modeltype=Simulation | | |math_modeltype=Simulation |
| Line 60: |
Line 61: |
| | | | |
| | * How does the use of synthetic wind inertia technology impact the electric grid stability | | * How does the use of synthetic wind inertia technology impact the electric grid stability |
| − | |Integrated models=ClaRa Library | + | |Integrated models=ClaRa Library |
| | |Model input file format=No | | |Model input file format=No |
| | |Model file format=No | | |Model file format=No |
| | |Model output file format=No | | |Model output file format=No |
| | }} | | }} |
Revision as of 10:01, 2 May 2017
| Model Scope |
Model type and solution approach |
| Model class
|
|
| Sectors
|
electricity, district heating, Gas
|
| Technologies
|
Renewables, Conventional Generation, CHP
|
| Decisions
|
|
| Regions
|
Hamburg / Germany
|
| Geographic Resolution
|
Metropolregion Hamburg
|
| Time resolution
|
Second
|
| Network coverage
|
transmission, distribution, net transfer capacities
|
|
| Model type
|
Simulation
|
|
|
Models in the library are based on differential algebraic equations and are solved using a variable step solver. By using the object oriented Modelica language the library allows an investigation of different timescales and levels of physical detail.
|
| Variables
|
Depending on scenario up to 30 000
|
| Computation time
|
60 minutes (The Library can be used to simulate single components as wells as complete systems. The values above apply to a coupled example whith a district heating network and a gas network.)
|
| Objective
|
|
| Uncertainty modeling
|
Prediction errors can be introduced by (filtered) white noise timeseries to see changes in control behaviour
|
| Suited for many scenarios / monte-carlo
|
No
|
|
References
Scientific references
Andresen, Lisa ; Dubucq, Pascal ; Peniche, Ricardo ; Ackermann, Günter ; Kather, Alfons ; Schmitz, Gerhard: Status of the TransiEnt Library: Transient simulation of coupled energy networks with high share of renewable energy. In: Proceedings of the 11th International Modelica Conference. Paris : Modelica Association, 2015, S. 695–705
https://dx.doi.org/10.3384/ecp15118695
Reports produced using the model
See: https://www.tuhh.de/transient-ee/en/publications.html
for a complete list
Example research questions
- How does the possible amount of hydrogen that can be fed into the gas distribution grid depend on the ambient temperature (considering changes in heating load, gas density and heat of combustion)
- How does the use of synthetic wind inertia technology impact the electric grid stability
◀ back to model list
