Mitigation Costs in a Globalized World: Climate Policy Analysis with REMIND-R

By Marian Leimbach, Nico Bauer, Lavinia Baumstark, Ottmar Edenhofer. 2010

197 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/fc2e826790274b69dcfe2b1f601338de9cd63c47

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Citations in the corpus

Description of the REMIND Model (Version 1.6) (2015, unknown): “REMIND (Regional Model of Investments and Development) (Leimbach et al. 2010a; Luderer et al. 2012; Bauer et al. 2012a; Bauer et al. 2012b; Luderer et al. 2013) is a global multi-regional model incorporating the economy, the climate system, and a detailed representation of the energy sector.”
Land-use transition for bioenergy and climate stabilization: model comparison of drivers, impacts and interactions with other land use based mitigation options (2014, methodology): “It consists of two components: ReMIND (Leimbach et al. 2010) and MAgPIE (Lotze-Campen et al. 2008, Popp et al. 2010).”
Towards low carbon development in China: a comparison of national and global models (2016, methodology): “REMIND (Refined Model of Investments and Technological Development) developed by the Potsdam Institute for Climate Impact Research is a multi-regional hybrid model which couples an economic growth model with detailed energy system models and a simple climate model (Leimbach et al., 2010).”
Long-term Transport Energy Demand and Climate Policy: Alternative Visions on Transport Decarbonization in Energy Economy Models (2014, background): “4, from Potsdam Institute for Climate Impact Research [6], [7], [37], [38]”
Climate-smart agriculture global research agenda: scientific basis for action (2014, background): “[184] coupled global models of vegetation and hydrology [185,186], land-use optimization (MAgPIE) and the energy–economy–climate interface [187].”
Fluctuating renewables in a long-term climate change mitigation strategy (2011, background): “As these are overwhelmingly determined by global capacity increases we do not include learning curves for our model, but introduce an exogenous cost degression deduced from the model ReMIND-D [38].”
The Economics of Low Stabilization: Model Comparison of Mitigation Strategies and Costs (2010, methodology): “Similarly in REMIND, increasing use of coal in combination with CCS is the solution under biomax as rest-emissions from CCS use, i.e. emissions that cannot be captured, can then be accepted.”
Optimal subsidy estimation method using system dynamics and the real option model: Photovoltaic technology case (2015, methodology): “Reviewing several macro-level energy models, including ENTICE [64], IMACLIM-R [65], ReMIND-R [66], and WITCH [67], the key factors can be classified into three categories: energy, economy, and environment.”