A Biophysical Perspective of IPCC Integrated Energy Modelling

The following article conducts an analysis of the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5), specifically in relation to Integrated Assessment Models (IAMs). We focus on the key drivers of economic growth, how these are derived and whether IAMs properly reflect t...

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Main Author: Graham Palmer
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/11/4/839
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spelling doaj-f503bc3c484140ef9e1a53eed01d28e72020-11-24T20:55:10ZengMDPI AGEnergies1996-10732018-04-0111483910.3390/en11040839en11040839A Biophysical Perspective of IPCC Integrated Energy ModellingGraham Palmer0Australian-German College of Energy and Climate, The University of Melbourne, Melbourne 3010, AustraliaThe following article conducts an analysis of the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5), specifically in relation to Integrated Assessment Models (IAMs). We focus on the key drivers of economic growth, how these are derived and whether IAMs properly reflect the underlying biophysical systems. Since baseline IAM scenarios project a three- to eight-fold increase in gross domestic product (GDP)-per-capita by 2100, but with consumption losses of only between 3–11%, strong mitigation seems compatible with economic growth. However, since long-term productivity and economic growth are uncertain, they are included as exogenous parameters in IAM scenarios. The biophysical economics perspective is that GDP and productivity growth are in fact emergent parameters from the economic-biophysical system. If future energy systems were to possess worse biophysical performance characteristics, we would expect lower productivity and economic growth, and therefore, the price of reaching emission targets may be significantly costlier than projected. Here, we show that IAMs insufficiently describe the energy-economy nexus and propose that those key parameters are integrated as feedbacks with the use of environmentally-extended input-output analysis (EEIOA). Further work is required to build a framework that can supplement and support IAM analysis to improve biophysical rigour.http://www.mdpi.com/1996-1073/11/4/839Integrated Assessment Modelseconomic growthenergybiophysicaloptimisationenergy return on investment (EROI)
collection DOAJ
language English
format Article
sources DOAJ
author Graham Palmer
spellingShingle Graham Palmer
A Biophysical Perspective of IPCC Integrated Energy Modelling
Energies
Integrated Assessment Models
economic growth
energy
biophysical
optimisation
energy return on investment (EROI)
author_facet Graham Palmer
author_sort Graham Palmer
title A Biophysical Perspective of IPCC Integrated Energy Modelling
title_short A Biophysical Perspective of IPCC Integrated Energy Modelling
title_full A Biophysical Perspective of IPCC Integrated Energy Modelling
title_fullStr A Biophysical Perspective of IPCC Integrated Energy Modelling
title_full_unstemmed A Biophysical Perspective of IPCC Integrated Energy Modelling
title_sort biophysical perspective of ipcc integrated energy modelling
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2018-04-01
description The following article conducts an analysis of the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5), specifically in relation to Integrated Assessment Models (IAMs). We focus on the key drivers of economic growth, how these are derived and whether IAMs properly reflect the underlying biophysical systems. Since baseline IAM scenarios project a three- to eight-fold increase in gross domestic product (GDP)-per-capita by 2100, but with consumption losses of only between 3–11%, strong mitigation seems compatible with economic growth. However, since long-term productivity and economic growth are uncertain, they are included as exogenous parameters in IAM scenarios. The biophysical economics perspective is that GDP and productivity growth are in fact emergent parameters from the economic-biophysical system. If future energy systems were to possess worse biophysical performance characteristics, we would expect lower productivity and economic growth, and therefore, the price of reaching emission targets may be significantly costlier than projected. Here, we show that IAMs insufficiently describe the energy-economy nexus and propose that those key parameters are integrated as feedbacks with the use of environmentally-extended input-output analysis (EEIOA). Further work is required to build a framework that can supplement and support IAM analysis to improve biophysical rigour.
topic Integrated Assessment Models
economic growth
energy
biophysical
optimisation
energy return on investment (EROI)
url http://www.mdpi.com/1996-1073/11/4/839
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