Incorporating grid expansion in an energy system optimisation model - A case study for Indonesia

Bintang Yuwono, Ping Yowargana, Lukas Kranzl, Reinhard Haas, Retno Gumilang Dewi, Ucok Welo Risma Siagian and Florian Kraxner

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Abstract: Energy system optimisation models (ESOMs) are widely used for policy analyses particularly on topics related to climate change mitigation and renewable energy transition. Using ESOM to investigate regions that potentially require significant expansion of grid infrastructure requires incorporation of grid expansion problem within the optimisation. This study presents the development of SELARU, a Mixed-Integer Linear Programming (MILP) model for spatially explicit long-term energy infrastructure planning. 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 315% increase in generation capacity) between high-resolution spatial depiction of grid expansion vis-à-vis non spatially explicit energy system optimisation. SELARU’s high-resolution energy system optimization modelling also provides 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 ESOM is used to evaluate scenarios that concern technology selection such as renewable energy deployment or climate change mitigation.

Date: 2023-05-16
New Economics Papers: this item is included in nep-ene, nep-env and nep-sea
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DOI: 10.31219/osf.io/aw4bd

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