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Modeling large-scale industrial demand response: Insights for Europe’s energy transition

大規模産業用デマンドレスポンスのモデリング：欧州のエネルギー転換への示唆 (AI 翻訳)

Laura Paradiso, Mostafa Barani, Pedro Crespo del Granado, Asgeir Tomasgård

Electric Power Systems Research📚 査読済 / ジャーナル2026-07-10#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.epsr.2026.113668
原典: https://doi.org/10.1016/j.epsr.2026.113668
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🤖 gxceed AI 要約

日本語

欧州の脱炭素政策で変動再エネが拡大する中、産業用ダイレクト・ロードコントロール（DLC）の価値を長期投資計画モデルEMPIREで評価。28カ国2025-2060年のデータで、DLCにより系統コストを0.44-1.47%削減し、Li-ion蓄電池の利用率を最大18.49%低減できると示した。

English

This study quantifies the system value of industrial direct load control (DLC) in Europe using the EMPIRE capacity expansion model with a DLC module. Based on 28 countries (2025-2060), DLC cuts power system costs by 0.44-1.47%, reduces Li-ion BESS utilization up to 18.49%, and boosts solar share.

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

欧州の産業DLCモデリングは、再エネ導入拡大と需給調整が課題の日本でも、DRの系統価値評価や長期電源計画に応用可能な示唆を与える。日本の需給調整市場や容量市場の設計にも参考になる。

In the global GX context

The paper adds quantitative evidence on demand response as a low-cost flexibility option in deep decarbonization scenarios, relevant for TYNDP and national capacity expansion planning under the EU Clean Energy Package.

👥 読者別の含意

🔬研究者:Provides a rigorous open-source modeling framework for valuing industrial DR in capacity expansion.

🏢実務担当者:Highlights cost-saving and battery-displacement potential of DLC for industrial electricity consumers.

🏛政策担当者:Supports policies that reward demand flexibility alongside renewables in system planning.

📄 Abstract（原文）

European decarbonization policies are accelerating the shift from fossil-based generation to Variable Renewable Energy Sources (VRES). While essential for climate goals, this transition challenges system reliability due to renewable variability. Demand Response (DR), and particularly Direct Load Control (DLC), offers a promising solution to enhance flexibility by shifting electricity demand. This study assesses industrial DLC at the European level within long-term investment planning. A database of industrial load profiles and demand projections is developed for 28 countries over 2025-2060 and integrated into the open-source EMPIRE model, a multi-period stochastic capacity expansion model for the European power sector, extended with a DLC module for load shifting. Results show savings between 0.44% and 1.47% compared to the No DLC case, with activated DLC accounting for 2-5% of the Maximum Reduction potential. The flexibility rate amplifies the benefits of longer shift windows, reducing Li-ion BESS utilization by up to 18.49% and increasing solar generation and installed capacity.

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