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設備展開：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
本論文は、LNGやガス発電などのエネルギー移行プロジェクトにおける重機展開の戦略的課題を分析。従来の静的最適化では不十分で、物流リスクや契約柔軟性を考慮した動的フレームワークが必要と論じる。新興市場での実務経験に基づく。
English
This paper analyzes strategic challenges in deploying heavy equipment for energy transition projects such as LNG and gas-to-power. It argues that traditional static optimization is inadequate, requiring dynamic frameworks that integrate logistics risk, contractual flexibility, and operational adaptability. Based on practical field experiences in emerging markets.
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
日本のエンジニアリング企業やゼネコンが海外エネルギー移行プロジェクトに参入する際の設備展開戦略に示唆を与える。特に新興市場での物流リスク対応が重要。
In the global GX context
For global audience, this paper offers insights into operational challenges in scaling energy transition infrastructure, particularly in regions with limited industrial infrastructure. It highlights the need for adaptive equipment strategies beyond cost optimization.
👥 読者別の含意
🔬研究者:Researchers in project management and energy infrastructure can take away a framework for dynamic equipment deployment under uncertainty.
🏢実務担当者:Corporate project teams can use the logistics and contract flexibility insights to improve deployment planning for energy transition projects.
📄 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.20592687first seen 2026-06-11 05:37:41 · last seen 2026-06-16 04:53:41
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