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| | |website=https://dlr-ve.gitlab.io/esy/amiris/home/ | | |website=https://dlr-ve.gitlab.io/esy/amiris/home/ |
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| | |text_description=Agent-based electricty market model for analysing questions on future energy markets, their market design, and energy-related policy instruments | | |text_description=Agent-based electricty market model for analysing questions on future energy markets, their market design, and energy-related policy instruments |
| | |Primary outputs=electricity prices, power plant dispatch, cost and income | | |Primary outputs=electricity prices, power plant dispatch, cost and income |
Latest revision as of 14:14, 17 April 2024
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Agent-based Market model for the Investigation of Renewable and Integrated energy Systems
by German Aerospace Center
Authors:
Contact:
Christoph Schimeczek
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Agent-based electricty market model for analysing questions on future energy markets, their market design, and energy-related policy instruments
Based on Java. Using Python for data processing.
Website / Documentation
Download
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 Open Source
Apache License 2.0 (Apache-2.0)
Directly downloadable
Input data shipped
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| Model Scope |
Model type and solution approach |
| Model class
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Agent-based electricity market model
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| Sectors
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electricity
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| Technologies
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Renewables, Conventional Generation
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| Decisions
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dispatch
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| Regions
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Germany, Austria
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| Geographic Resolution
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National
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| Time resolution
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Hour
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| Network coverage
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| Model type
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Simulation, Agent-based
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|
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algorithms for market clearing and agent-specific bidding strategies
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| Variables
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| Computation time
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1 minutes (one year, one country)
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| Objective
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| Uncertainty modeling
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stochastic, perfect foresight, deterministic
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| Suited for many scenarios / monte-carlo
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Yes
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References
Scientific references
Schimeczek et al. (2023). AMIRIS: Agent-based Market model for the Investigation of Renewable and Integrated energy Systems. Journal of Open Source Software, 8(84), 5041.
https://dx.doi.org/https://doi.org/10.21105/joss.05041
Reports produced using the model
https://doi.org/10.1016/j.apenergy.2021.117267; https://doi.org/10.3390/en13153920; https://doi.org/10.3390/en13205350; https://doi.org/10.1155/2017/7494313
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