Lemlab
From wiki.openmod-initiative.org
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local energy market laboratory
by Technical University of Munich
Authors:
Sebastian Dirk Lumpp, Markus Doepfert, Michel Zade
Contact:
Sebastian Dirk Lumpp
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An open-source tool for the agent-based development and testing of local energy market applications. lemlab allows the user to simulate a LEM using a full agent-based modelling (ABM) in either simulation (SIM) or real-time (RTS) modes. This allows the rapid testing of algorithms as well as the real-time integration of hardware and software components.
Based on Python, Pyomo. Using PostgreSQL, Ethereum for data processing.
Website / Documentation
Download
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 Open Source
GNU General Public License version 3.0 (GPL-3.0)
Directly downloadable
Input data shipped
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| Model Scope |
Model type and solution approach |
| Model class
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agent-based simulation
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| Sectors
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local energy markets
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| Technologies
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Renewables, Conventional Generation, CHP
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| Decisions
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| Regions
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| Geographic Resolution
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| Time resolution
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| Network coverage
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| Model type
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Simulation, Agent-based
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Agents: intertemporal convex optimization
Markets: (iterative) double-sided auctions, p2p clearing
Forecasting: naive, deterministic forecasting, neural networks
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| Variables
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| Computation time
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20 minutes (50 prosumers, one day)
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| Objective
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| Uncertainty modeling
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perfect forecast, deterministic, stochastic
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| Suited for many scenarios / monte-carlo
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No
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References
Scientific references
◀ back to model list
Facts about "Lemlab"RDF feed
| Author institution | Technical University of Munich + |
| Authors | Sebastian Dirk Lumpp, Markus Doepfert, Michel Zade + |
| Computation time comments | 50 prosumers, one day |
| Computation time minutes | 20 + |
| Contact email | sebastian.lumpp@tum.de + |
| Contact persons | Sebastian Dirk Lumpp + |
| Data availability | all + |
| Deterministic | perfect forecast, deterministic, stochastic + |
| Full Model Name | local energy market laboratory + |
| Is suited for many scenarios | false + |
| License | GNU General Public License version 3.0 (GPL-3.0) + |
| Math modeltype | Simulation + and Agent-based + |
| Math modeltype shortdesc | Agents: intertemporal convex optimization
Markets: (iterative) double-sided auctions, p2p clearing
Forecasting: naive, deterministic forecasting, neural networks + |
| Model class | agent-based simulation + |
| Model source public | true + |
| Modelling software | Python, Pyomo + |
| Open future | false + |
| Open source licensed | true + |
| Processing software | PostgreSQL, Ethereum + |
| Sectors | local energy markets + |
| Source download | https://github.com/tum-ewk/lemlab + |
| Technologies | Renewables +, Conventional Generation + and CHP + |
| Text description | An open-source tool for the agent-based de … An open-source tool for the agent-based development and testing of local energy market applications. lemlab allows the user to simulate a LEM using a full agent-based modelling (ABM) in either simulation (SIM) or real-time (RTS) modes. This allows the rapid testing of algorithms as well as the real-time integration of hardware and software components.ation of hardware and software components. |
| Website | https://github.com/tum-ewk/lemlab + |
