Towards a FAIR-DICE IAM: Combining DICE and FAIR Models

被引:5
作者
Faulwasser, Timm [1 ]
Nydestedt, Robin [2 ]
Kellett, Christopher M. [3 ]
Weller, Steven R. [3 ]
机构
[1] Karlsruhe Inst Technol, Inst Automat & Appl Informat, D-76344 Eggenstein Leopoldshafen, Germany
[2] Royal Inst Technol, Dept Math, Lindstedtsvagen 25, Stockholm, Sweden
[3] Univ Newcastle, Sch Elect Engn & Comp, Callaghan, NSW 2308, Australia
基金
澳大利亚研究理事会;
关键词
Integrated assessment model; DICE; FAIR; optimal control; differential algebraic equations; climate economics; CARBON-DIOXIDE; SOCIAL COST;
D O I
10.1016/j.ifacol.2018.06.222
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The estimation of the Social Cost of Carbon Dioxide (SC-CO2) is one of the essential purposes of Integrated Assessment Models (IAMs) used in the economics of climate change. One of the most widely used IAMs in this context is DICE. However, the DICE geophysical subsystem fails to account for feedback from the climate subsystem to the carbon subsystem, an effect recently observed in climate physics. This paper investigates how to combine the recently proposed FAIR climate model with the socioeconomic subsystem of DICE. Based on an analysis of its differential-algebraic structure, we propose an efficient discretization of FAIR that provides a new discrete-time hybrid of DICE and FAIR denoted as FAIR-DICE. Finally, we compare estimates of the SC-CO2 obtained with DICE2013 with those obtained via FAIR-DICE. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:126 / 131
页数:6
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