Model Factsheet

General Information

Name	IAEW Marktsimulation
Acronym	MarS
Methodical Focus	None
Institution(s)	Institute of Power Systems and Power Economics (IAEW) at RWTH Aachen University
Author(s) (institution, working field, active time period)	Dr. T. Mirbach (developer; 5 years); Dr. T. Drees (developer; 5 years); M. Ketov (developer; 4 years) et al.
Current contact person	Mihail Ketov
Contact (e-mail)	ke@iaew.rwth-aachen.de
Website
Logo
Primary Purpose	price forecasts, nodal dispatch
Primary Outputs	power plant dispatch, prices, commercial flows, redispatch potential
Support / Community / Forum
Framework
Link to User Documentation
Link to Developer/Code Documentation
Documentation quality	good
Source of funding	various projects for the energy industry
Number of developers	less than 20
Number of users	less than 100

Openness

Open Source
Planned to open up in the future
Costs	no single use license available

Software

Modelling software	not given
Internal data processing software	Linux; Fortran; C
External optimizer
Additional software	Parametrization GUI of IAEW
GUI

Coverage

Modeled energy sectors (final energy)	electricity, heat
Modeled demand sectors	Households, Industry, Commercial sector
Modeled technologies: components for power generation or conversion	Renewables PV, Wind, Hydro, Solar thermal Conventional gas, oil, liquid fuels, nuclear
Modeled technologies: components for transfer, infrastructure or grid	Electricity - Gas - Heat distribution
Properties electrical grid	DC load flow
Modeled technologies: components for storage	battery, kinetic, compressed air, pump hydro, chemical, heat, gas
User behaviour and demand side management	demand shifting with given time series of potential in regard to absolute amount and shifting time
Changes in efficiency
Market models	-
Geographical coverage
Geographic (spatial) resolution	Scope: All Bidding Zones in ENTSO-E region, resolution power stations
Time resolution	hour
Comment on geographic (spatial) resolution
Observation period	1 year
Additional dimensions (sector)	economic, additional dimensions sector economic text

Mathematical Properties

Model class (optimisation)	-
Model class (simulation)	-
Other
Short description of mathematical model class	MIQP, solved by Lagrangian decomposition
Mathematical objective	costs
Approach to uncertainty	Deterministic
Suited for many scenarios / monte-carlo
typical computation time	less than a day
Typical computation hardware	8 cores of 2 GHz, 75 GB RAM
Technical data anchored in the model

Model Integration

Interfaces
Model file format	Other
Input data file format	text
Output data file format	.csv
Integration with other models	linked to IAEW redispatch model
Integration of other models

References

Citation reference	"- T. Drees: ""Simulation des europäischen Binnenmarktes für Strom und Regelleistung bei hohem Anteil erneuerbarer Energien"", Aachener Beiträge zur Energieversorgung Bd. 166 - F. Grote, A. Maaz, T. Drees, A. Moser: ""Modeling of Electricity Pricing in European Market Simulations"" 12th International Conference on the European Energy Market (EEM); Lisbon (PRT); 18.05.2015 – 21.05.2015 -T. Drees, A. Moser: ""Macroeconomic Benefit of Integrated Markets for Reserve Balancing in Europe"" EEM 2016 – 13th International Conference on the European Energy Market; Porto (PRT); 05.06.2016 – 08.06.2016"
Citation DOI
Reference Studies/Models	German Bedarfsanalyse of the 4 TSOs
Example research questions	What is the impact of a growing penetration of renwables on European market prices and the dispatch?
Model usage	NDA
Model validation	-
Example research questions	What is the impact of a growing penetration of renwables on European market prices and the dispatch?
further properties
Model specific properties

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