Optimizing power sector decarbonization in Indonesia through an integrated policy modeling framework

IF 12.2
Green Technologies and Sustainability Pub Date : 2026-04-01 Epub Date: 2025-09-20 DOI:10.1016/j.grets.2025.100276
Wahri Sunanda , M. Isnaeni Bambang Setyonegoro , Sasongko Pramono Hadi , Sarjiya
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Abstract

Indonesia’s power sector is still dominated by fossil fuels, which makes it difficult for the country to meet its climate goals. This study develops an integrated modeling framework to evaluate long term decarbonization pathways that combine a carbon tax (CT), an emissions trading system (ETS), and carbon capture and storage (CCS). We use a generation expansion model based on mixed integer linear programming and simulate six policy scenarios from 2025 to 2050 to assess impacts on CO2 emissions, generation mix, capital investment, and system costs. Among integrated policies, the combined carbon pricing and CCS scenario (CEC) achieves the largest emissions reduction, reaching 389.1 MtCO2 in 2050, a 68.2% decrease relative to the no policy scenario. This pathway also requires the highest annual capital investment, of USD 78.42 billion in 2050, compared with USD 26.33 billion in the no policy case. More moderate instruments, such as a carbon tax alone, deliver smaller reductions (45%) with lower costs. The CEC scenario attains an 83.6% renewable share of installed capacity by 2050, while the combined ETS and CCS scenario (EC) reaches 82.2%, driven by growth in solar PV, wind, biomass, hydropower, and geothermal. Sensitivity analyses indicate that solar deployment is highly responsive to capital cost changes and that increases in the carbon price beyond USD 63 per tCO2 yield diminishing marginal benefits. These results highlight the value of early and coordinated climate policy to support an equitable and sustainable transition, and the proposed framework offers a decision support tool for integrated energy and climate strategies under uncertainty.
通过综合政策建模框架优化印度尼西亚电力部门的脱碳
印尼的电力行业仍以化石燃料为主,这使得该国难以实现其气候目标。本研究开发了一个综合建模框架,以评估结合碳税(CT)、排放交易系统(ETS)和碳捕集与封存(CCS)的长期脱碳途径。本文采用基于混合整数线性规划的发电扩展模型,模拟了2025年至2050年的6种政策情景,以评估对二氧化碳排放、发电组合、资本投资和系统成本的影响。在综合政策中,碳定价和CCS联合情景(CEC)的减排效果最大,到2050年达到3.891亿吨二氧化碳,比无政策情景减少了68.2%。这条道路也需要最高的年度资本投资,2050年为784.2亿美元,而无政策情况下为263.3亿美元。更温和的手段,比如单独征收碳税,可以以更低的成本实现更小的减排(45%)。到2050年,在太阳能光伏、风能、生物质能、水电和地热的推动下,CEC情景可再生能源占装机容量的比例将达到83.6%,而ETS和CCS情景(EC)的总和将达到82.2%。敏感性分析表明,太阳能部署对资本成本变化的反应非常敏感,碳价格每吨二氧化碳超过63美元,边际效益就会递减。这些结果突出了早期和协调的气候政策对支持公平和可持续转型的价值,所提出的框架为不确定性下的综合能源和气候战略提供了决策支持工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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