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  REMIND2.1: transformation and innovation dynamics of the energy-economic system within climate and sustainability limits
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Baumstark, Lavinia1, Author           
Bauer, Nicolas1, Author           
Benke, Falk1, Author           
Bertram, Christoph1, Author           
Bi, Stephen1, Author           
Gong, Chen Chris1, Author           
Dietrich, Jan Philipp1, Author                 
Dirnaichner, Alois1, Author           
Giannousakis, Anastasis1, Author           
Hilaire, Jérôme1, Author           
Klein, David1, Author           
Koch, Johannes1, Author           
Leimbach, Marian1, Author           
Levesque, Antoine1, Author           
Madeddu, Silvia1, Author           
Malik, Aman1, Author           
Merfort, Anne1, Author           
Merfort, Leon1, Author                 
Odenweller, Adrian1, Author           
Pehl, Michaja1, Author           
Pietzcker, Robert C.1, Author                 Piontek, Franziska1, Author           Rauner, Sebastian1, Author           Rodrigues, Renato1, Author           Rottoli, Marianna1, Author           Schreyer, Felix1, Author           Schultes, Anselm1, Author           Sörgel, Björn1, Author           Sörgel, Dominika1, Author           Strefler, Jessica1, Author           Ueckerdt, Falko1, Author                 Kriegler, Elmar1, Author           Luderer, Gunnar1, Author            more..
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1Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

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 Abstract: This paper presents the new and now open-source version 2.1 of the REgional Model of INvestments and Development (REMIND). REMIND, as an integrated assessment model (IAM), provides an integrated view of the global energy–economy–emissions system and explores self-consistent transformation pathways. It describes a broad range of possible futures and their relation to technical and socio-economic developments as well as policy choices. REMIND is a multiregional model incorporating the economy and a detailed representation of the energy sector implemented in the General Algebraic Modeling System (GAMS). It uses non-linear optimization to derive welfare-optimal regional transformation pathways of the energy-economic system subject to climate and sustainability constraints for the time horizon from 2005 to 2100. The resulting solution corresponds to the decentralized market outcome under the assumptions of perfect foresight of agents and internalization of external effects. REMIND enables the analyses of technology options and policy approaches for climate change mitigation with particular strength in representing the scale-up of new technologies, including renewables and their integration in power markets. The REMIND code is organized into modules that gather code relevant for specific topics. Interaction between different modules is made explicit via clearly defined sets of input and output variables. Each module can be represented by different realizations, enabling flexible configuration and extension. The spatial resolution of REMIND is flexible and depends on the resolution of the input data. Thus, the framework can be used for a variety of applications in a customized form, balancing requirements for detail and overall runtime and complexity.

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 Dates: 2021-09-072021-10-282021-10-28
 Publication Status: Finally published
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.5194/gmd-14-6571-2021
PIKDOMAIN: RD3 - Transformation Pathways
Organisational keyword: RD3 - Transformation Pathways
Research topic keyword: Mitigation
Regional keyword: Global
Model / method: REMIND
MDB-ID: No data to archive
OATYPE: Gold Open Access
Working Group: Land-Use Management
 Degree: -

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Title: Geoscientific Model Development
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 14 (10) Sequence Number: - Start / End Page: 6571 - 6603 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals185
Publisher: Copernicus