User:RobbieIanMorrison/sandbox/work in progress eiN7Ah

Development of material for target article: Open energy system models

Now live: Open energy system models#AMIRIS

• DLR publications: dlr-ve.gitlab.io/esy/amiris/home/page/research/

Target section: Electricity sector models

AMIRIS is the open Agent-based Market model for the Investigation of Renewable and Integrated energy Systems. The AMIRIS simulation framework was first developed by the German Aerospace Center (DLR) in 2008 and later released as an open source project in 2021.^[1][2]

AMIRIS enables researchers to address questions regarding future energy markets, their market design, and energy-related policy instruments.^[3] In particular, AMIRIS is able to capture market effects that may arise from the integration of renewable energy sources and flexibility options by considering the strategies and behaviors of the various energy market actors present. For instance, those behaviors can be influenced by the prevailing political framework and by external uncertainties.^[4] AMIRIS may also uncover complex effects that may emerge from the inter‑dependencies of the energy market participants.^[5]

The embedded market clearing algorithm computes electricity prices based on the bids of prototyped market actors. These bids may not only reflect the marginal cost of electricity production but also the limited information available to the actors and related uncertainties. But also the bidding can be strategic as an attempt to game official support instruments or exploit market power opportunities.

Actors in AMIRIS are represented as agents that can be roughly divided into six classes: power plant operators, traders, market operators, policy providers, demand agents, and storage facilities operators. In the model, power plant operators provide generation capacities to traders, but do not participate directly in markets. Instead, they supply traders who conduct the marketing and deploy bidding strategies on their behalf. Marketplaces serve as trading platforms and calculate market clearing. Policy providers define the regulatory framework which then may impact on the decisions of the other agents. Demand agents request energy directly at the electricity market. Finally, flexibility providers, such as storage operators, use forecasts to determine bidding patterns to match their particular objectives, for instance, projected profit maximization.

Due to its agent‑based and modular nature, AMIRIS can be easily extended or modified.^[6] AMIRIS is based on the open Framework for distributed Agent-based Modelling of Energy systems or FAME.^[7] AMIRIS can simulate large‑scale agent systems in acceptable timeframes. For instance, the simulation of one year at hourly resolution may take as little as one minute on a contemporary desktop computer. The researchers at DLR also have access to high-performance computing facilities.