Enabling Cold Storage Flexibility and Energy Storage for an Industrial Actor
産業主体向け低温貯蔵の柔軟性とエネルギー貯蔵の活用 (AI 翻訳)
Ingrid Refvik Torsvik, S. Foslie, Sigurd Bjarghov, K. Thorvaldsen
🤖 gxceed AI 要約
日本語
再生可能エネルギーの普及とピーク需要増加に対応するため、産業プロセスの需要側柔軟性と蓄電池（ES）の組み合わせを評価。乳製品工場の低温貯蔵を事例に、プロセス柔軟性がピーク負荷と電力コストを削減し、ESとのシナジー効果（ピーク1.31MW削減、コスト8.17%削減）を実証。
English
This paper evaluates the synergy between industrial process flexibility (cold storage) and energy storage (ES) for peak load reduction and cost savings. Using a dairy case study with a linear load shift optimization model, it shows that process flexibility alone reduces peak by 0.43 MW and grid cost by 2.87%, while adding ES enhances reductions to 1.31 MW and 8.17%.
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
日本では容量市場の動きや再生可能エネルギー増加に伴い、産業用のデマンドレスポンスが注目される。本論文は低温貯蔵という具体的プロセスに焦点を当て、蓄電池との組み合わせ効果を定量化しており、工場のエネルギー管理や系統負荷低減に実用的知見を提供。
In the global GX context
As global grids integrate higher shares of renewables, industrial demand-side flexibility becomes critical. This paper provides a rare quantitative comparison of process flexibility (cold storage) and energy storage, demonstrating clear synergy—valuable for grid operators, utilities, and industrial consumers designing flexibility strategies.
👥 読者別の含意
🔬研究者:The linear load shift model with recovery time constraints offers a method for quantifying industrial flexibility, suitable for extension to other process types.
🏢実務担当者:Facility managers can use the results to justify investment in cold storage automation and/or battery storage based on peak reduction and cost savings.
🏛政策担当者:The study supports grid tariff designs that incentivize demand-side flexibility, highlighting the value of combining process changes with energy storage.
📄 Abstract（原文）
Growing shares of renewable energy and increased peak demand associated with the green transition introduce new challenges for the power system. Industrial demand-side flexibility is regarded as a part of the solution, potentially offering economic benefits for actors while reducing capacity-based grid tariff cost. This work examines the value of flexibility within industrial processes in comparison with other flexible resources such as energy storage (ES). An optimization model with a linear load shift formulation that accounts for recovery time is proposed and applied to a dairy case study, exhibiting process flexibility potential within its cold storage. The results show that process flexibility can reduce both peak load and net electricity costs, and it demonstrates clear synergy with other external flexible resources. ES increases operational freedom and enables longer load shifting, reducing peak by 1.31 MW and grid cost by 8.17%, compared with 0.43 MW and 2.87% without ES.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/eem68581.2026.11589897first seen 2026-07-13 07:02:26
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