Modeling for insights not numbers: The long-term low-carbon transformation

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/76930 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/76930 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/76930 archive 5 disk0/00/01/45/17 2017-04-03 08:51:48 2021-08-27 17:28:48 2017-04-03 08:51:48 article show Schinko T. 8847 0000-0003-1156-7574 Bachner G. Schleicher S. Steinigner K.W. Modeling for insights not numbers: The long-term low-carbon transformation pub Low-carbon transformation; energy-economic modeling; climate-economic modeling; structured literature review Limiting global warming to prevent dangerous climate change requires drastically reducing global greenhouse gases emissions and a transformation towards a low-carbon society. Existing energy- and climate-economic modeling approaches that are informing policy and decision makers in shaping the future net-zero emissions society are increasingly seen with skepticism regarding their ability to forecast the long-term evolution of highly complex, nonlinear social-ecological systems. We present a structured review of state-of-the-art modeling approaches, focusing on their ability and limitations to develop and assess pathways towards a low-carbon society. We find that existing methodological approaches have some fundamental deficiencies that limit their potential to understand the subtleties of long-term low-carbon transformation processes. We suggest that a useful methodological framework has to move beyond current state of the art techniques and has to simultaneously fulfill the following requirements: (1) representation of an inherent dynamic analysis, describing and investigating explicitly the path between different states of system variables, (2) specification of details in the energy cascade, in particular the central role of functionalities and services that are provided by the interaction of energy flows and corresponding stock variables, (3) reliance on a clear distinction between structures of the sociotechnical energy system and socioeconomic mechanisms to develop it and (4) ability to evaluate pathways along societal criteria. To that end we propose the development of a versatile multi-purpose integrated modeling framework, building on the specific strengths of the various modeling approaches available while at the same time omitting their weaknesses. This paper identifies respective strengths and weaknesses to guide such development. 2017-03 submitted Universidad Nacional Autonoma de Mexico 10.20937/ATM.2017.30.02.05 http://www.revistascca.unam.mx/atm/index.php/atm/article/view/ATM.2017.30.02.05 272 public Atmósfera 30 1 137-161 TRUE 0187-6236 FALSE no info:eu-repo/semantics/article