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Energy Curtailment And Data Centers: Technological Strategies For Consumption Optimization In Renewable Energy-Based Systems

エネルギー抑制とデータセンター：再生可能エネルギーシステムにおける消費最適化のための技術戦略 (AI 翻訳)

Alcides, Feitosa Neto, Ana Karen, Silveira Pereira Caracas, Cleilson, Coutinho da Silva, Emanuel, Lopes Frate, Esaú, Aguiar Carvalho, Débora Maria de, Sousa da Silva, Francisco Jeandson, Rodrigues da Silva, Francisco José, Lopes Cajado, Givanildo, Ximenes Santana, Irene, Mendes Fontes, Joao Guilherme de, Oliveira Duarte, José Nabuco, Ribamar Neto, Márcio, Carneiro Barbosa, Roberto Augusto, Caracas Neto, Rickardo Léo, Ramos Gomes, Silvana Claudia de, Lima Accioly, Tadeu, Dote Sá

Zenodoプレプリント2026-05-23#省エネOrigin: Global
DOI: 10.5281/zenodo.20354483
原典: https://zenodo.org/records/20354483
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🤖 gxceed AI 要約

日本語

本論文は、再生可能エネルギーシステムにおけるデータセンターのエネルギー消費最適化技術戦略を文献レビューにより検討。出力抑制（カーテイルメント）が運用効率や安定性に与える影響を分析し、AI・自動化・蓄電技術が有効であると結論。スマートソリューション統合による持続可能性向上を提唱。

English

This paper reviews technological strategies for optimizing energy consumption in data centers within renewable energy systems, focusing on energy curtailment. Through a qualitative literature review, it finds that AI, automation, and storage improve efficiency and stability, concluding that integrated smart solutions enhance sustainability and reliability.

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

日本でも再エネ拡大に伴う出力抑制が課題であり、データセンターの効率化は重要。ただし本論文は定性的レビューで具体的な政策提言はなく、日本固有の文脈は含まれていない。

In the global GX context

Globally, renewable curtailment is a growing issue for data centers as ICT demand rises. This paper offers a conceptual framework for leveraging AI and storage, but lacks empirical validation. It contributes to discussions on integrating renewables with digital infrastructure.

👥 読者別の含意

🔬研究者:Provides a structured overview of energy curtailment mitigation strategies for data centers, though it offers no new empirical findings.

🏢実務担当者:Highlights AI, automation, and storage as actionable approaches to improve data center energy efficiency under renewable supply.

🏛政策担当者:Suggests the need for policies promoting grid flexibility and data center efficiency to manage curtailment risks.

📄 Abstract（原文）

Abstract: Background: The growing energy demand associated with data centers and the expansion of renewable energy sources have intensified scientific discussions concerning energy efficiency, sustainability, and operational stability in high-capacity digital infrastructures. Within this context, the present study aims to comprehensively examine technological strategies designed to optimize energy consumption in data centers operating within renewable energy-based systems, considering the impacts of energy curtailment on operational efficiency, sustainability, and the stability of energy supply in these infrastructures. Materials and Methods: This study adopted a qualitative methodological approach, as the research sought to interpret and understand phenomena related to energy curtailment and technological strategies applied to energy management in data centers. Methodologically, a bibliographic review was employed as the primary research strategy, enabling the systematic organization and critical analysis of scientific publications associated with the investigated topic. Results: The findings demonstrated that technical and operational factors directly influence the occurrence of curtailment in renewable energy-based systems, affecting the energy stability of data centers. Furthermore, the results indicated that technologies such as artificial intelligence, automation, and energy storage contribute to greater efficiency in computational workload management and to the reduction of energy waste. Conclusion: It was concluded that the integration between intelligent technological solutions and renewable energy sources promotes greater operational sustainability, energy efficiency, and reliability in the operation of data centers with high computational demand. Key Word: Energy curtailment; Data centers; Renewable energy; Energy efficiency.

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