Model linking for low-carbon transitions: Technical and conceptual challenges and best practices

20939 6 111432 2 337008 document 111432 1-s2.0-S1364032125010573-main.pdf application/pdf b478b6deff777899767ca2910d656a2a MD5 690218 2025-10-22 08:37:17 https://pure.iiasa.ac.at/id/eprint/20939/1/1-s2.0-S1364032125010573-main.pdf 20939 1 1 application/pdf text en public cc_by_4

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published 111438 1 337019 document 111438 indexcodes.txt text/plain a80b1b9a20b76dd7ee45389430d306ba MD5 21039 2025-10-22 08:56:14 https://pure.iiasa.ac.at/id/eprint/20939/2/indexcodes.txt 20939 2 2 text/plain other Generate index codes conversion from text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/111432 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/111432 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/111432 archive 353 disk0/00/02/09/39 2025-10-22 08:51:26 2025-10-22 08:51:26 2025-10-22 08:51:26 article show Keppo I. Al Khourdajie A. 9476 0000-0003-1376-7529 Gardumi F. Holtz G. Nikas A. Xexakis G. Ferreras-Alonso N. Fragkos P. Frilingou N. Ghadaksaz H. Hawkes A. Mateo A. Mittal S. Parrado-Hernando G. Peters G.P. Rinaldi L. Rocco M.V. Sognnæs I. van de Ven D.-J. Zamanipour B. Model linking for low-carbon transitions: Technical and conceptual challenges and best practices pub ECE IACC Integrated assessment models, IAM, Energy system models, Model linking, Model interpretation Linking existing models to extend energy system and integrated assessment analysis is an increasingly common practice. Despite this, and unlike in the field of environmental and earth sciences, little attention has so far been paid to the details of it, to the trade-offs involved and the way in which the model linking affects the interpretation of the outcomes of the interlinked model system. Our aim in this paper is to first focus on a set of key technical and methodological problems that are common in model linking and suggest how these could be approached in different model linking contexts. We then further explore how model linking may affect the nature of the knowledge produced, and how this should be considered in the model linking process. Reflecting our literature driven assessment of the issues and possible solutions, we compile “a check list” to assist in the process of decision making for model linking. 2026-01 published Elsevier doi:10.1016/j.rser.2025.116384 3435 public Renewable and Sustainable Energy Reviews 226 e116384 1 TRUE 1879-0690 info:eu-repo/semantics/article