Research on the Formation Mechanism of Power Generation Enterprises’ Intention to Participate in Shared Energy Storage
発電企業の共有エネルギー貯蔵参加意図の形成メカニズムに関する研究 (AI 翻訳)
Zilin Yang, Xiaoxuan Liu, Le Hao, X G Wang
🤖 gxceed AI 要約
日本語
共有エネルギー貯蔵は電力システムの柔軟性向上と再生可能エネルギー統合に重要である。本研究は、発電企業の参加意図をTOEモデルと知覚リスク・便益を用いて分析。SEMとfsQCAにより、技術・組織・環境要因が意図形成に寄与する経路を特定した。
English
Shared energy storage (SES) is key for power system flexibility and renewable integration. This study examines power generation enterprises' participation intentions using a TOE model with perceived risk and benefit. SEM and fsQCA reveal multiple pathways shaped by technological, organizational, and environmental factors, providing policy and business model insights.
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、FIT終了後の蓄電池活用や需給調整市場の整備が進む中、本研究成果は共有型蓄電事業モデルの設計や補助政策の策定に示唆を与える可能性がある。
In the global GX context
Globally, shared energy storage is gaining traction for grid flexibility. This study offers empirical evidence on drivers and barriers from a Chinese perspective, useful for policymakers and utilities designing participation frameworks.
👥 読者別の含意
🔬研究者:Provides a theoretical model (TOE) and configurational analysis (fsQCA) for studying adoption of shared storage by power generators.
🏢実務担当者:Highlights factors (policy support, management support, market competition) that utilities and storage project developers can leverage to increase participation.
🏛政策担当者:Offers evidence to design policies that reduce perceived risk and enhance perceived benefit for shared energy storage adoption.
📄 Abstract（原文）
Shared energy storage is emerging as a pivotal institutional and technological arrangement for increasing power-system flexibility, integrating renewable electricity, and improving the allocation of storage resources. Focusing on power generation enterprises, this study develops a Technology–Organization–Environment (TOE) model that incorporates perceived risk and perceived benefit to explain how participation intentions toward shared energy storage are formed. Structural equation modeling and fuzzy-set qualitative comparative analysis (fsQCA) show that technological compatibility, technological maturity, top-management support, organizational slack, subjective norms, policy support, and market competition shape participation intentions by reducing perceived risk and strengthening perceived benefit. Perceived risk significantly suppresses participation intention, whereas perceived benefit significantly promotes it. The fsQCA results identify three configurational pathways to high participation intention: benefit–risk co-activation, market competition and benefit-driven participation, and market–policy dual activation. These findings show that participation in shared energy storage is generated by interdependent technological, organizational, and environmental conditions rather than by any single determinant. The study offers evidence for refining a shared-energy-storage policy and improving business models in the transition to a new power system.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/systems14070812first seen 2026-07-13 06:19:28
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