Impact of wave power integration and sustainable e-fuel, e-chemical, and e-materials exports on Chile’s energy transition
波力発電統合と持続可能なe-fuel、e-chemical、e-material輸出がチリのエネルギー転換に与える影響 (AI 翻訳)
Juan Carlos Osorio-Aravena, Gabriel Lopez, Dmitrii Bogdanov, Rasul Satymov, Christian Breyer
🤖 gxceed AI 要約
日本語
本研究は、チリの脱化石燃料エネルギー産業システムへの移行における波力発電と再生可能電力由来製品輸出の役割を評価するため、3層階層型エネルギーモデリングを初めて適用した。結果は、2050年までに波力発電が陸上再生可能エネルギーの補完となり、総設備容量を9%削減し、コストはわずかに増加することを示した。輸出シナリオでは、チリの再生可能電力ポテンシャルの71-78%を活用して、世界的なe-product需要の一部を満たすことが可能である。
English
This study presents the first application of hierarchical energy system modeling to evaluate wave power and renewable electricity-based product exports in Chile's transition. Results show that by 2050, wave power can complement onshore renewables, reducing total installed capacity by 9% with marginal cost increases. Under export scenarios, Chile could meet significant global e-product demand using 71-78% of its renewable electricity potential.
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
チリは日本と同様に海洋エネルギー資源が豊富であり、本研究成果は日本の洋上風力や波力発電の統合計画にも示唆を与える。ただし、チリ固有の地理的・社会的条件が前提であるため、直接適用には注意が必要。
In the global GX context
This paper provides a novel modeling framework for integrating wave power and renewable export production, relevant for global energy transition planning. It highlights the potential of resource-rich countries to become exporters of e-fuels, chemicals, and materials, contributing to international decarbonization efforts.
👥 読者別の含意
🔬研究者:Offers a new hierarchical modeling approach for energy system with wave power and e-product exports, useful for future scenario studies.
🏢実務担当者:Provides insights on cost and capacity implications of wave power integration for energy planners and project developers.
🏛政策担当者:Demonstrates policy options to support wave power and e-product exports as part of national energy transition strategies.
📄 Abstract（原文）
This study presents the first application of hierarchical energy system modelling in a three-level framework to evaluate the role of wave power and renewable electricity-based product export in Chile’s transition to a defossilised energy-industry system. While previous research has indicated that solar photovoltaics and onshore wind power may lead Chile’s energy transition, the country also has abundant wave power resources. Thus, the potential for wave power to enhance the supply complementarity of onshore renewable energy-dominated systems remains an open question, as well as the simultaneous analysis of e-fuels, e-chemicals, and e-materials export production. Using the LUT Energy System Transition Model, four scenarios were simulated to investigate the effects of wave power and e-product export production in hourly resolution. In addition to cost-optimal scenarios, exploratory wave-favoured scenarios are analysed as hypothetical policy counterfactuals, designed to assess the system-level implications of deliberately supporting wave power deployment in a country with exceptional wave energy resources. The results indicate that by 2050, wave power can provide a complement to onshore renewable energy, reducing total installed capacity by 9% and electricity storage needs, only leading to marginally increased costs compared to cost-optimal conditions. Wave power in some regions of Chile may have higher social acceptance, as it reduces land required near densely populated urban centres. Under export scenarios, e-products meeting 10% of fuel and chemical demand from the Americas, Europe, and East Asia plus up to 5% of global demand for steel and aluminium would require 71–78% of Chile’s exploitable renewable electricity potential (2375 GW). Chile could become a global leader in e-product exports, contributing to a post-fossil fuel economy. These findings offer valuable insights for energy planners, policymakers, and the energy modelling community.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.enconman.2026.121828first seen 2026-07-17 04:50:28
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。