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Improving reproducibility in energy systems analysis: Introducing FAME - a framework for agent-based models

Frey, Ulrich J and Schimeczek, Christoph and Deissenroth, Marc and Nienhaus, Kristina (2019) Improving reproducibility in energy systems analysis: Introducing FAME - a framework for agent-based models. ESSA, Mainz.

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Abstract

In energy system modelling, agent-based models and simulations (ABMS) are clearly a minority. Yet, they capture the behaviour of heterogeneous actors in a changing landscape of energy technologies, policies and regulations. However, development of ABMS does not follow any standards and often happens in isolation. Root causes are a) the lack of an existing common ABMS framework, b) the lack of transparency of existing models and c) the lack of rigorously validated ABMS in energy systems analysis. To address the first point, we introduce a framework for distributed agent-based models of energy systems (FAME) that might serve as a blueprint and common starting point for further developments. A common framework might be one step towards establishing standards in the community in order to bring together isolated approaches with different methodologies. Our framework distinguishes between the framework (FAME) itself and the design of the application that is built upon it (AMIRIS). It is developed in Java, uses almost no external software dependencies and is general enough to be adaptable to many problems in energy systems analysis. It is planned to be available as open-source and has various advantages. One is speed, since FAME can take advantage of parallel computing architecture. A second one is its ease of use, since FAME has a highly configurable interface and good user documentation. Its main goal is – by using a common, already existing framework – to reduce development time considerably, enhance reproducibility and facilitate comparisons between models.

Item URL in elib:https://elib.dlr.de/128458/
Document Type:Conference or Workshop Item (Speech)
Title:Improving reproducibility in energy systems analysis: Introducing FAME - a framework for agent-based models
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Frey, Ulrich Julrich.frey (at) dlr.dehttps://orcid.org/0000-0002-9803-1336
Schimeczek, ChristophChristoph.Schimeczek (at) dlr.dehttps://orcid.org/0000-0002-0791-9365
Deissenroth, MarcMarc.Deissenroth (at) dlr.dehttps://orcid.org/0000-0002-9103-418X
Nienhaus, KristinaKristina.Nienhaus (at) dlr.dehttps://orcid.org/0000-0003-4180-6767
Date:September 2019
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:agent-based modeling; framework; reproducibility
Event Title:ESSA
Event Location:Mainz
Event Type:international Conference
HGF - Research field:Energy
HGF - Program:Technology, Innovation and Society
HGF - Program Themes:Renewable Energy and Material Resources for Sustainable Futures - Integrating at Different Scales
DLR - Research area:Energy
DLR - Program:E SY - Energy Systems Analysis
DLR - Research theme (Project):E - Systems Analysis and Technology Assessment
Location: Stuttgart
Institutes and Institutions:Institute of Engineering Thermodynamics > Energy Systems Analysis
Deposited By: Frey, Ulrich
Deposited On:22 Aug 2019 15:59
Last Modified:10 Feb 2020 11:38

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