| Autor: |
Leon Merfort, Jan Philipp Dietrich, Chen Chris Gong, Alois Dirnaichner, Marianna Rottoli, Anne Merfort, Adrian Odenweller, Anastasis Giannousakis, Gunnar Luderer, Jérôme Hilaire, Johannes Koch, Lavinia Baumstark, Antoine Levesque, David Klein, Felix Schreyer, Franziska Piontek, Robert C. Pietzcker, Sebastian Rauner, Bjoern Soergel, Nico Bauer, Michaja Pehl, Stephen Bi, Elmar Kriegler, Marian Leimbach, Renato Rodrigues, Christoph Bertram, Jessica Strefler, Falko Ueckerdt, Aman Malik, Anselm Schultes, Dominika Soergel, Silvia Madeddu, Falk Benke |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Geoscientific Model Development, Vol 14, Pp 6571-6603 (2021) |
| ISSN: |
1991-9603 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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