Industrial ecology in integrated assessment models

被引：0

作者：

Pauliuk S. ^{[1
]}

Arvesen A. ^{[2
]}

Stadler K. ^{[2
]}

Hertwich E.G. ^{[3
]}

机构：

[1] Faculty of Environment and Natural Resources, University of Freiburg, Freiburg

[2] Industrial Ecology Programme, Department for Energy and Process Engineering, Norwegian University of Science and Technology (NTNU), Trondheim

[3] Yale School of Forestry AndEnvironmental Studies, New Haven, 06511, CT

来源：

Nature Climate Change | 2017年 / 7卷 / 1期

关键词：

D O I：

10.1038/nclimate3148

中图分类号：

学科分类号：

摘要：

Technology-rich integrated assessment models (IAMs) address possible technology mixes and future costs of climate change mitigation by generating scenarios for the future industrial system. Industrial ecology (IE) focuses on the empirical analysis of this system. We conduct an in-depth review of five major IAMs from an IE perspective and reveal differences between the two fields regarding the modelling of linkages in the industrial system, focussing on AIM/CGE, GCAM, IMAGE, MESSAGE, and REMIND. IAMs ignore material cycles and recycling, incoherently describe the life-cycle impacts of technology, and miss linkages regarding buildings and infrastructure. Adding IE system linkages to IAMs adds new constraints and allows for studying new mitigation options, both of which may lead to more robust and policy-relevant mitigation scenarios. © 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.

引用

页码：13 / 20

页数：7

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