REMIND2.1: transformation and innovation dynamics of the energy-economic system within climate and sustainability limits

被引：79

作者：

Baumstark, Lavinia ^{[1
]}

Bauer, Nico ^{[1
]}

Benke, Falk ^{[1
]}

Bertram, Christoph ^{[1
]}

Bi, Stephen ^{[1
]}

Gong, Chen Chris ^{[1
]}

Dietrich, Jan Philipp ^{[1
]}

Dirnaichner, Alois ^{[1
]}

Giannousakis, Anastasis ^{[1
]}

Hilaire, Jerome ^{[1
]}

Klein, David ^{[1
]}

Koch, Johannes ^{[1
]}

Leimbach, Marian ^{[1
]}

Levesque, Antoine ^{[1
]}

Madeddu, Silvia ^{[1
]}

Malik, Aman ^{[1
]}

Merfort, Anne ^{[1
]}

Merfort, Leon ^{[1
]}

Odenweller, Adrian ^{[1
]}

Pehl, Michaja ^{[1
]}

Pietzcker, Robert C. ^{[1
]}

Piontek, Franziska ^{[1
]}

Rauner, Sebastian ^{[1
]}

Rodrigues, Renato ^{[1
]}

Rottoli, Marianna ^{[1
]}

Schreyer, Felix ^{[1
]}

Schultes, Anselm ^{[1
]}

Soergel, Bjoern ^{[1
]}

Soergel, Dominika ^{[1
]}

Strefler, Jessica ^{[1
]}

Ueckerdt, Falko ^{[1
]}

Kriegler, Elmar ^{[1
]}

Luderer, Gunnar ^{[1
]}

机构：

[1] Potsdam Inst Climate Impact Res PIK, Member Leibniz Assoc, POB 60 12 03, D-14412 Potsdam, Germany

来源：

GEOSCIENTIFIC MODEL DEVELOPMENT | 2021年 / 14卷 / 10期

基金：

欧盟地平线“2020”;

关键词：

INTEGRATED ASSESSMENT MODELS; GREENHOUSE-GAS EMISSIONS; STABILIZATION SCENARIOS; INTERNATIONAL-TRADE; CO-BENEFITS; SOCIAL COST; AIR-QUALITY; DEMAND; SECTOR; POLICY;

D O I：

10.5194/gmd-14-6571-2021

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

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.

引用

页码：6571 / 6603

页数：33

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