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線形計画法に基づく空港ランドサイド電動モビリティハブの設計と技術経済分析

Linear Programming-Based Design and Techno-Economic Analysis of an Airport Landside Electromobility Hub (原題)

Dabcevic, Zvonimir, Grden, Luka, Deur, Josko

Zenodoプレプリント2026-09-24#EV・輸送Origin: EU経営インパクト: コスト削減対象セクター: transport
DOI: 10.5281/zenodo.22940363
原典: https://zenodo.org/records/22940363
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🤖 gxceed AI 要約

日本語

空港ランドサイドの電動化に向け、電動バスと顧客EVの充電を統合管理するe-hubの設計・技術経済分析手法を提示。LPベースの協調充電は瞬時充電方式に比べ週次電力コストを最大8%削減し、再エネ利用率を最大22%向上させる。ザグレブ空港の実駐車データで540構成を評価し、15年 horizon のNPVは料金モデルに強く依存することを示した。

English

This paper presents a coordinated design and techno-economic framework for an airport electromobility hub integrating electric bus and customer EV charging. An LP-based charging approach cuts weekly electricity costs by up to 8% and raises renewable utilization by up to 22% versus instantaneous charging. Applied to Zagreb Airport across 540 configurations, a 15-year analysis shows optimal sizing depends heavily on the pricing model.

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

空港という限定空間での電力需給最適化は、日本の空港脱炭素化や再エネ導入・系統制約対応の実務に示唆を与える。SSBJやScope 2削減の文脈でも、再エネ利用率向上とコスト削減の両立事例として参考になる。

In the global GX context

As airports face growing electrification mandates, this work offers a replicable LP-based method for balancing grid limits, PV, and storage while improving renewable utilization. It contributes empirical techno-economic evidence relevant to transport decarbonization and Scope 2 reduction strategies globally.

👥 読者別の含意

🔬研究者:空港・交通ハブの電動化におけるLP最適化と技術経済評価の実証手法を学べる。

🏢実務担当者:空港運営者や施設管理者が充電インフラの規模・料金設計を検討する際の定量的根拠を提供。

🏛政策担当者:空港脱炭素化政策や系統制約下での再エネ活用促進策の設計に参考となる。

📄 Abstract(原文)

Airport landside transport electrification demands charging infrastructure capable of serving heterogeneous vehicle fleets within shared spatial and grid constraints. This paper presents an approach to coordinated design and techno-economic analysis of an airport electromobility hub (e-hub), which integrates charging management of city-connection electric buses (EB) and customer parking electric vehicles (EV). The EV fleet charging approach includes three coupled components: a heuristic rule-based instantaneous charging approach as an operational baseline, a linear programming (LP)-based coordinated charging approach , and a discounted cash-flow analysis framework linking operational outputs to long-term financial performance. All components enforce priority charging of EBs as a hard constraint, and account for grid capacity limits, photovoltaic (PV) generation, and optional, local battery energy storage. The approach is applied to Zagreb Airport using recorded parking data, evaluating 540 infrastructure configurations across varying charger counts, fast and slow charger shares, grid capacities, PV-equipped parking spaces, and battery energy storage system (BESS) capacities. The results show that the LP approach reduces weekly electricity costs by up to 8% and increases renewable energy utilization by up to 22% relative to the instantaneous charging baseline, primarily by shifting charging demand toward low-tariff periods and periods of high solar generation. A techno-economic analysis over a 15-year horizon shows that optimal infrastructure sizing depends strongly on the revenue model. Fixed idle-fee pricing achieves the highest NPV and cumulative lifetime profit, while congestion-aware pricing provides higher late-horizon annual profits at the cost of greater operational sensitivity.

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