STRATEGIC EQUIPMENT DEPLOYMENT IN ENERGY TRANSITION PROJECTS: OPERATIONAL CHALLENGES AND OPTIMIZATION FRAMEWORKS
エネルギー移行プロジェクトにおける戦略的機器展開：運用上の課題と最適化フレームワーク (AI 翻訳)
TAHA GUNDOGAR
🤖 gxceed AI 要約
日本語
エネルギー移行プロジェクトでは、従来のEPCと異なり物流の不確実性や市場変動が大きく、静的な費用最適化では対応できない。本論文は、LNGやガス火力などの大規模プロジェクトを対象に、機器調達・展開における物流リスク、契約柔軟性、機動性、サプライヤー管理を動的に統合するフレームワークを提案する。新興国での実践経験に基づく知見が豊富。
English
This paper examines the transformation of equipment deployment strategy in energy transition projects, arguing that traditional deterministic cost optimization is insufficient under high logistical uncertainty and market volatility. It proposes a dynamic framework integrating logistics risk, contractual flexibility, operational mobility, supplier governance, and deployment adaptability, drawing on field experiences from LNG, gas-to-power, and multinational projects in emerging 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LNG・再生可能エネルギー導入に伴い大規模プロジェクトが増加しており、特に海外展開する日本企業にとって新興国での機器調達・物流リスク管理は重要課題である。本論文の動的フレームワークは、契約構造や機動性を考慮した実践的な示唆を提供し、日本のプラントエンジニアリングや商社の現場にも応用可能。
In the global GX context
Globally, energy transition projects face unprecedented logistical and contractual complexity, especially in emerging markets. This paper fills a gap in project management literature by shifting focus from static cost optimization to dynamic adaptability and risk allocation, offering actionable frameworks for EPC contractors, developers, and investors involved in LNG, hybrid, and gas-to-power infrastructure.
👥 読者別の含意
🔬研究者:Provides a systems-management perspective on equipment deployment optimization under uncertainty, contributing to project management and logistics literature in the energy transition context.
🏢実務担当者:Offers practical insights for structuring contracts, managing fleet flexibility, and mitigating logistics risks in large-scale energy projects across emerging regions.
📄 Abstract（原文）
Abstract Energy transition projects have fundamentally altered the operational logic governing heavy-equipment deployment across global industrial construction environments. Unlike conventional EPC projects characterized by relatively stable execution models, modern LNG, hybrid-energy, gas-to-power, and integrated infrastructure developments operate under significantly higher levels of logistical uncertainty, supply-chain volatility, schedule fluidity, and regional market imbalance. Under these conditions, traditional equipment-management frameworks based primarily on deterministic cost optimization increasingly fail to capture the strategic complexity influencing deployment decisions in contemporary energy-transition operations. This paper examines the transformation of equipment-deployment strategy through a systems-management perspective focused on logistics risk, contractual flexibility, operational mobility, supplier governance, and deployment adaptability within emerging energy-transition markets. Particular attention is given to large-scale equipment mobilization challenges in regions with limited industrial infrastructure, thin secondary equipment markets, uncertain transport reliability, and constrained local supplier ecosystems. The study argues that modern deployment optimization can no longer be treated as a static rent-versus-buy or schedule-versus-cost calculation. Instead, successful deployment strategy increasingly depends on dynamic frameworks capable of integrating schedule volatility, mobility constraints, regional logistics exposure, supplier reliability, and residual-value uncertainty simultaneously. The paper further explores how contracting structures, flexible fleet models, interface-based logistics planning, and adaptive risk-allocation systems influence operational resilience across large-scale transition-energy projects. Drawing from practical field experiences involving LNG, gas-to-power, and multinational industrial projects across emerging regions, the analysis concludes that strategic equipment deployment within energy-transition environments is increasingly governed less by technical specification optimization and more by logistics architecture, market flexibility, and operational adaptability under uncertainty.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.20592688first seen 2026-06-11 05:35:39
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