Incorporating grid development in capacity expansion optimisation

20139 6 108157 2 327674 document 108157 1-s2.0-S0306261924022207-main.pdf application/pdf c025efa15a5ad8f5f4c7916edc59c701 MD5 7647277 2024-11-22 09:00:16 https://pure.iiasa.ac.at/id/eprint/20139/1/1-s2.0-S0306261924022207-main.pdf 20139 1 1 application/pdf text en public cc_by_4

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published 108159 1 327687 document 108159 indexcodes.txt text/x-c++ 50e09fa39122a22e01cf84d6d672ba75 MD5 17188 2024-11-22 09:10:17 https://pure.iiasa.ac.at/id/eprint/20139/2/indexcodes.txt 20139 2 2 text/x-c++ 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/108157 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/108157 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/108157 archive 353 disk0/00/02/01/39 2024-11-22 09:02:02 2024-11-22 09:02:02 2024-11-22 09:02:02 article show Yuwono B. 2194 Kranzl L. Haas R. Dewi R.G. Siagian U.W.R. Kraxner F. 7904 Yowargana P. 2069 Incorporating grid development in capacity expansion optimisation - a case study for Indonesia pub BNR AFE Grid expansion; Long-term infrastructure planning; Optimisation; Power system modelling; Spatially explicit Capacity expansion optimisation is a widely used techno-economic analysis particularly on topics related to climate change mitigation and renewable energy transition. Using optimisation models to investigate capacity expansion in regions that potentially require significant grid infrastructure development requires incorporation of grid expansion problem within the optimisation. This study presents the development of SELARU, a spatially explicit optimisation model that incorporates the economies of scale of grid expansion using contextualized geographical feature to form the model's high-resolution spatial units. The model is used to investigate the case study of Indonesia using various spatial treatments to demonstrate the impact of detailed spatial depiction of grid expansion. Results reveal significant difference in renewable energy deployment trajectory (up to 2272 % increase in new generation capacity) between high-resolution spatial depiction of grid expansion vis-à-vis non spatially explicit energy system optimisation. Due to its high-resolution, SELARU also generates detailed information on the geographical extent of grid expansion requirement, which provides more realistic insights on governance challenges of renewable energy transition. Careful consideration of spatial representation is crucial when optimisation model is used to evaluate scenarios that concern technology selection such as renewable energy deployment or climate change mitigation. 2025-01-15 published Elsevier doi:10.1016/j.apenergy.2024.124837 3098 165 341 public Applied Energy 378 e124837 TRUE 1872-9118 no info:eu-repo/semantics/article