gxceed
← 論文一覧に戻る

Dominance of industry in energy demand: Implications for the energy transition

産業のエネルギー需要支配:エネルギー転換への示唆 (AI 翻訳)

Rasul Satymov, Dmitrii Bogdanov, Philipp Diesing, Jukka Ruusunen, Petteri Laaksonen, Christian Breyer

Energy📚 査読済 / ジャーナル2026-06-22#エネルギー転換Origin: EU経営インパクト: コスト削減対象セクター: manufacturing
DOI: 10.1016/j.energy.2026.141737
原典: https://doi.org/10.1016/j.energy.2026.141737

🤖 gxceed AI 要約

日本語

本研究は、南東フィンランドにおける産業集中地域のエネルギー転換を分析。産業が最終エネルギー需要の約80%を占める中、2050年までの100%再生可能エネルギー実現を検討。地域の風力制限にもかかわらず、Power-to-X経済の展開がコスト増加1.7%で可能であり、産業を受動的消費者から柔軟な構成要素へと変革する青写真を提示。

English

This study analyzes the energy-industry transition in Southeast Finland, where industry accounts for ~80% of final energy demand, aiming for 100% renewable energy by 2050. Despite massive baseload demand, levelised cost of electricity drops to 34€/MWh. Enforcing local e-fuel production increases costs by only 1.7%, challenging assumptions about regional renewable resource limitations. The industry shifts from passive consumer to flexible component, offering a blueprint for energy-intensive regions.

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

日本でも鉄鋼・化学・セメントなどエネルギー多消費産業が集中する地域があり、2050年カーボンニュートラル目標の達成には本分析の示す地域産業クラスターのエネルギー転換モデルが示唆に富む。特に、風力制約下でもPower-to-Xを低コストで導入可能という結果は、日本の再生可能エネルギー導入戦略に応用可能。

In the global GX context

This paper provides a strategic blueprint for energy-intensive industrial regions globally, showing that deep defossilisation with local Power-to-X is economically viable. It challenges the assumption that wind-rich areas are necessary for e-fuel production, relevant for ISSB/CSRD disclosure and transition finance in hard-to-abate sectors.

👥 読者別の含意

🔬研究者:GX researchers can use this as a case study for modeling regional industrial energy transitions and validating cost assumptions for Power-to-X in constrained renewable resource areas.

🏢実務担当者:Corporate sustainability teams in energy-intensive industries can apply the findings to assess feasibility of on-site e-fuel production and integration with renewable energy.

🏛政策担当者:Policymakers can note that regional renewable limitations do not preclude local Power-to-X, supporting industrial cluster-based decarbonization strategies.

📄 Abstract(原文)

The transition to carbon-neutrality requires integration of renewable energy sources across all energy sectors, a challenge particularly acute in regions with energy-intensive industries. In Southeast Finland, a geostrategically sensitive border region of Finland with access to the Baltic, the energy landscape is defined by an industrial dominance, where pulp and paper, cement, and steel production account for approximately 80% of final energy demand. However, energy transition models often lack the required high nodal resolution to validate national pathways against the specific constraints of such concentrated industrial clusters. This study analyses Southeast Finland’s energy-industry transition to 100% renewable energy by 2050. Despite massive baseload demand, the region’s levelised cost of electricity drops to 34 €/MWh. The results expose a geographic mismatch where cost-optimisation favours exporting the region's 9 million tonnes of biogenic carbon dioxide to wind-rich areas; however, enforcing local e-fuel production raises cumulative system costs by only 1.7%. This challenges the assumption that regional renewable energy resource limitations, specifically wind power restrictions, preclude the development of viable local Power-to-X Economy opportunities. The region’s industry shifts from a passive energy consumer to a flexible component of a sustainable energy system, essential for synthesising electricity-based fuels, chemicals, and materials. These findings offer a strategic blueprint for energy-intensive regions, illustrating how industrial resilience and national security can align with deep defossilisation targets with minimal economic efficiency losses.

🔗 Provenance — このレコードを発見したソース

🔔 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。