系統制約下の低炭素スマート港湾に向けた不安定性考慮型デジタルツイン制御
Instability-Aware Digital Twin Control for Grid-Constrained Low-Carbon Smart Ports (原題)
Seyed Reza Samaei, K.S. Reddy, James Riffat
🤖 gxceed AI 要約
日本語
港湾のターミナル電化・陸上電力・再エネ・蓄電池・デジタル制御を統合したデジタルツイン制御の試作モデルを開発。不安定性伝播指数（IPI）をNSGA-IIローリングホライズン制御に組み込み、720時間のベンチマークで運用エネルギーを8.9〜21.2%、排出量を8.5〜21.0%削減。23MW再エネと8MW/16MWh蓄電池で系統純輸入と排出を大幅に低減した。
English
A simulation-based digital-twin controller integrates port electrification, shore power, renewables, storage, and logistics scheduling. An Instability Propagation Index (IPI) is embedded in an NSGA-II rolling-horizon optimizer. Over a 720-h benchmark, it cuts operational energy by 8.9–21.2% and modelled emissions by 8.5–21.0%; a 23 MW renewable plus 8 MW/16 MWh battery portfolio lowers net grid import from 14,510 to 8,370 MWh and emissions from 8,040 to 4,847 tCO2e.
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
港湾の脱炭素は日本のGX政策（グリーン成長戦略・港湾カーボンニュートラルポート）と直結する。系統制約下での物流・エネルギー統合制御は、日本の臨海産業地帯の再エネ導入と電化投資の意思決定に示唆を与える。
In the global GX context
Port decarbonization is a growing pillar of global transition finance and disclosure, linking Scope 1/2 emissions from terminal operations to grid constraints. This work offers a control framework that could inform port authorities and shipping lines integrating renewable PPAs and shore-power mandates into their climate targets.
👥 読者別の含意
🔬研究者:港湾物流とエネルギーシステムの統合最適化における不安定性指標の有効性を示す実証的枠組み。
🏢実務担当者:港湾運営者・荷主は、陸上電力・再エネ・蓄電池の運用を最適化し排出とコストを同時に削減する設計指針として活用できる。
🏛政策担当者:系統制約下での港湾脱炭素投資を促す規制・インセンティブ設計に、定量的な削減ポテンシャルの根拠を提供する。
📄 Abstract（原文）
Modern smart ports combine terminal electrification, shore power, renewable generation, storage, and digital operational control under uncertain vessel traffic and time-varying grid limits. This study develops a simulation-based digital-twin control prototype that synchronizes vessel flow, berth occupancy, equipment activity, shore-power demand, renewable supply, battery state, grid import, and modelled emissions. A policy-weighted Instability Propagation Index (IPI) classifies lower-stress, critical-transition, and instability-dominated operating regimes and is embedded in an NSGA-II rolling-horizon controller for berth allocation, crane scheduling, vessel sequencing, shore-power timing, flexible loads, renewable curtailment, and battery dispatch. The confirmatory analysis uses a 720-h coupled congestion-and-grid-limit benchmark with 30 paired common-random-number replications, service-preservation controls, terminal-horizon accounting, optimizer-seed verification, and distribution-robust statistics. Relative to operation-focused, energy-focused, and decoupled policies, the proposed controller reduces operational energy by 8.9–21.2%, modelled grid-plus-queue emissions by 8.5–21.0%, peak grid import by 5.7–15.1%, and mean replication-level maximum IPI by 24.8–42.3%, while achieving the lowest composite vessel delay and highest berth-utilization efficiency. A 23 MW renewable portfolio with an 8 MW/16 MWh battery reduces net grid import from 14,510 to 8,370 MWh, peak import from 54.9 to 46.2 MW, modelled emissions from 8,040 to 4,847 tCO₂e, and mean maximum IPI from 0.82 to 0.68. The results demonstrate coordinated logistics–energy control within an externally grounded synthetic benchmark whose principal digital-twin, equipment, and shore-power operating scales are supported by published real-terminal evidence. Deployment at a specific port would nevertheless require local calibration of arrival, service, grid, emission, and control parameters.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.65582/ec.2026.007first seen 2026-10-09 04:47:06
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