Code underlying the publication: Can an energy only market enable resource adequacy in a decarbonized power system? A co-simulation with two agent-based-models

DOI:10.4121/862b6a2e-eb1f-4ff7-8186-b52450983644.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/862b6a2e-eb1f-4ff7-8186-b52450983644

Datacite citation style

Sanchez Jimenez, Ingrid (2025): Code underlying the publication: Can an energy only market enable resource adequacy in a decarbonized power system? A co-simulation with two agent-based-models. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/862b6a2e-eb1f-4ff7-8186-b52450983644.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This co-simulation is based on the Spinetoolbox, its purpose is to combine the strengths of 2 agent-based models (ABM), EMLabpy and AMIRIS to analyze market designs, such as capacity remuneration mechanisms.

EMLabpy is an ABM that simulates myopic energy generation investment decisions. AMIRIS (Agent-based Market model for the Investigation of Renewable and Integrated energy Systems) captures the bidding of agents in the day-ahead market.

History

  • 2025-11-18 first online, published, posted

Publisher

4TU.ResearchData

Format

python

Funding

Organizations

TU Delft, Faculty of Technology, Policy and Management, Department of Engineering Systems and Services

DATA

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