A power-sector optimization framework for assessing mitigation-adaptation synergies under climate change in a multi-climate country
気候変動下での緩和と適応の相乗効果を評価するための多気候国における電力セクター最適化フレームワーク (AI 翻訳)
Dorsa Razeghi-Jahromi, Hossein Khajehpour
🤖 gxceed AI 要約
日本語
多気候の途上国イランを対象に、気候変動が電力需要と発電性能に与える影響を地域別に考慮したエネルギー計画モデルを開発。緩和策と適応策を統合し、2050年までの最適電源構成を分析。グリーンロードシナリオでは統合により総コストを約270億ドル削減可能。他の多気候国への応用可能性を示唆。
English
This study develops an energy planning model for Iran, a multi-climate developing country, incorporating climate change impacts across climatic zones. It integrates mitigation and adaptation strategies, analyzing least-cost capacity mix through 2050. Results show that combining mitigation and adaptation under the Green Road scenario reduces total system cost by about USD 27 billion. The framework is transferable to other multi-climate countries.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
本論文は多気候国における気候変動影響を地域別に考慮したエネルギー計画の枠組みを提案。日本でも地域差を踏まえたエネルギー計画に示唆を与えるが、対象はイランであり直接適用は難しい。
In the global GX context
This paper addresses adaptation-mitigation synergy in a developing country, highlighting the importance of regional climate differences in energy system modeling. It provides a transferable framework for long-term power sector planning under climate change, relevant for global energy transition efforts.
👥 読者別の含意
🔬研究者:Energy system modelers can learn from the integrated modeling approach that captures regional climate variability and combines mitigation and adaptation.
🏢実務担当者:Energy planners in multi-climate countries can use the framework to develop cost-effective capacity expansion plans that account for climate change.
🏛政策担当者:Provides evidence that integrating mitigation and adaptation policies in the power sector can significantly reduce system costs, supporting joint policy design.
📄 Abstract(原文)
Climate change is transforming energy systems by affecting both demand and the performance of generation technologies. However, existing energy models in multi-climate developing countries that assess the impacts of climate change often rely on national-level analyses and do not account for regional climate differences, thereby reducing the accuracy of energy system planning. In addition, mitigation-adaptation interactions have not been examined within a unified modeling framework, which can lead to suboptimal energy planning decisions and higher system costs. In this study, an energy system planning model is developed for a multi-climate developing country under a worst-case climate change scenario, CMIP6 SSP5-8.5. It incorporates climate change impacts across climatic zones, capturing regional differences in power demand and generation potential, and enables the joint evaluation of mitigation and adaptation within a single model. It is used to quantify climate-driven changes across climatic regions, determine the least-cost capacity mix through 2050, and assess how combined mitigation and adaptation policies affect emissions and total system cost. In this study, adaptation refers to the power sector's adjustment to climate-induced changes in demand, technology performance, and resource availability. Based on IPCC's shared socio-economic pathways, four national scenarios are assessed in the model for Iran: Rocky Road, Divided Road, Highway, and Green Road. The results show significant variability across climatic zones and scenarios. Climate change is also found to enhance renewable energy potential in certain regions, particularly in colder and temperate zones. In Divided Road and Highway, the share of renewables increases by up to 70% compared with Rocky Road. Under Green Road, integrating mitigation and adaptation achieves 2050 targets at approximately USD 27 billion lower total system cost, highlighting the potential mitigation-adaptation synergy in energy planning. The framework is transferable to other multi-climate countries for evaluating climate impacts and jointly optimizing mitigation and adaptation strategies in long-term power-sector planning.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.esr.2026.102290first seen 2026-06-29 04:52:29 · last seen 2026-06-29 04:52:35
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