Model Factsheet

Overview / Agent-based Market Model for the Investigation of Renewable and Integrated Energy Systems (AMIRIS)

Model Agent-based Market Model for the Investigation of Renewable and Integrated Energy Systems (AMIRIS)

General Information
Name Agent-based Market Model for the Investigation of Renewable and Integrated Energy Systems
Acronym AMIRIS
Methodical Focus Agent-based Simulation
Institution(s) German Aerospace Center VE
Author(s) (institution, working field, active time period) Matthias Reeg (ehemals DLR), Evelyn Sperber; Achraf El-Ghazi, Kristina Nienhaus (DLR), Marc Deissenroth (ehemals DLR), Martin Klein (ehemals DLR), Christoph Schimeczek (DLR), Ulrich Frey (DLR), Nils Roloff (ehemals DLR), Thomas Kast (Thomas Kast Simulation Solutions)
Current contact person Kristina Nienhaus, Christoph Schimeczek
Contact (e-mail) amiris@dlr.de
Website https://helmholtz.software/software/amiris
Logo
Primary Purpose The model computes electricity prices endogenously based on the simulation of strategic bidding behavior of prototyped market actors. This bidding behavior does not only reflect marginal prices, but it also considers effects of support instruments like market premia. The goal is to study the impact of the regulatory framework on the RES-E deployment and market integration, considering the behaviour of actors (investment and dispatch decisions of plant operators, marketers, the demand side).
Primary Outputs Dispatch of RES-E power plants and storages; Income and expenses of concerned actors; Costs of support schemes
Support / Community / Forum
Framework FAME (Framework for Agent-based Modelling of Energy systems)
Link to User Documentation https://gitlab.com/dlr-ve/esy/amiris/amiris/-/wikis/home
Link to Developer/Code Documentation https://gitlab.com/dlr-ve/esy/amiris
Documentation quality excellent
Source of funding BMU, BMWi, BMBF, BMWK, EU, internal DLR funding
Number of developers less than 20
Number of users less than 100
Openness
Open Source
License Apache license 2.0
Source code available
GitHub
Access to source code https://github.com/dlr-ve-esy/amiris
Data provided example data
Collaborative programming
GitHub Organisation
GitHub Contributions Graph
Software
Modelling software JAVA, Fame Framework
Internal data processing software fameio
External optimizer
Additional software
GUI
Coverage
Modeled energy sectors (final energy) electricity
Modeled demand sectors Households, Industry, Commercial sector, Transport
Modeled technologies: components for power generation or conversion
Renewables PV, Wind, Hydro
Conventional gas, oil, nuclear
Modeled technologies: components for transfer, infrastructure or grid
Electricity -
Gas -
Heat -
Properties electrical grid -
Modeled technologies: components for storage battery, kinetic, compressed air, pump hydro, chemical
User behaviour and demand side management industry, households, electric vehicles, heat pumps
Changes in efficiency changes to efficiencies of powerplants and conversion technologies (e.g. electrolysis, storage units) can be considered
Market models -
Geographical coverage Germany; Austria
Geographic (spatial) resolution market zones
Time resolution annual, hour, 15 min
Comment on geographic (spatial) resolution Different site quality areas (Standortgüte) for wind and PV technologies
Observation period <1 year, 1 year, >1 year, 10+ years
Additional dimensions (sector) economic, additional dimensions sector economic text, social, additional dimensions sector social text
Mathematical Properties
Model class (optimisation) -
Model class (simulation) Agent-based
Other
Short description of mathematical model class
Mathematical objective costs, profits, end-user cost
Approach to uncertainty Deterministic, Stochastic
Suited for many scenarios / monte-carlo
typical computation time less than a minute
Typical computation hardware Intel(R) Core(TM) i7-2640M CPU @ 2.80GHz; RAM 4 GB
Technical data anchored in the model not anchored
Model Integration
Interfaces
Model file format jar
Input data file format csv, xml
Output data file format txt
Integration with other models E2M2, EMLabpy, Chargin
Integration of other models REMix, Backbone, MASCEM, Forecast-Api
References
Citation reference Schimeczek et al., "AMIRIS: Agent-based Market model for the Investigation of Renewable and Integrated energy Systems", JOSS, 2023
Citation DOI https://doi.org/10.21105/joss.05041
Reference Studies/Models Reeg, M. et al. "Weiterentwicklung eines agentenbasierten Simulationsmodells (AMIRIS) zur Untersuchung des Akteursverhaltens bei der Marktintegration von Strom aus erneuerbaren Energien unter verschiedenen Fördermechanismen", Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), 2013
Example research questions How does a fixed market premium affect the behaviour of actors concerning investments and dispatch of RES-E power plants and storages, e.g. compared to a floating premium?
Model usage DLR
Model validation cross-checked with other models
Example research questions How does a fixed market premium affect the behaviour of actors concerning investments and dispatch of RES-E power plants and storages, e.g. compared to a floating premium?
further properties
Model specific properties strengths: - display of the actors' based decisions on RES-E and storage power plants generation and demand - Analysis of effects of regulatory framework conditions on RES-E deployment and dispatch and support costs; - Analysis of effects of regulatory framework conditions on actors - short computation time weaknesses: - focus on electricity (heat implementation ongoing) - national simulation - no grid

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