ハイブリッド船向け動的ガス・電力エネルギー網構築と経済的低炭素共同ディスパッチ最適化
Dynamic gas-electric energy network construction and joint economic low-carbon dispatch optimization for hybrid ships (原題)
Zhongbo Tang, Jundong Zhang, Jiale Li, Fangting He, Pengzhi Liao
🤖 gxceed AI 要約
日本語
ハイブリッド船のガス網（分〜時間）と電力網（ミリ秒）の時間スケール不整合を解消するため、時間周波数変換による動的ガス網モデルと経済・低炭素の共同ディスパッチ枠組みを提案。パイプライン偏微分方程式を周波数領域の代数式に縮約し、従来手法比3.7〜4.6倍の高速化を実現。ε制約法で経済・炭素のパレート前沿を解き、動的制約によりガス焚き出力と圧力・流量変動を大幅に低減しつつ、コストと排出のトレードオフを定量化した。
English
Proposes a dynamic gas-network model via time-frequency transformation and a joint economic low-carbon dispatch framework for hybrid ships, resolving the time-scale mismatch between gas dynamics and power-grid response. Frequency-domain reduction of pipeline PDEs yields 3.7-4.6x speedup over FDM/FEM. An epsilon-constraint Pareto front and two-stage rigid-flexible strategy quantify the cost-emission trade-off, with dynamic constraints cutting gas-fired fluctuation and node pressure/flow variability substantially.
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
船舶の脱炭素はIMO規制や海運のScope 3排出削減と直結し、日本でも海運・造船業のGX戦略に関わる。ただし本論文は船内運用最適化が中心で、SSBJや有報開示への直接的示唆は限定的。
In the global GX context
Maritime decarbonization connects to IMO targets and shipping Scope 3 accounting under ISSB/CSRD value-chain disclosure. The paper's operational dispatch optimization offers engineering-level evidence for low-carbon vessel operation, though it does not directly address disclosure frameworks.
👥 読者別の含意
🔬研究者:船舶のガス・電力統合系統における動的モデリングと経済・炭素トレードオフの定式化手法として参考になる。
🏢実務担当者:船舶運航・海運の脱炭素運用設計において、ガス焚きとディーゼルの配分最適化の実務的示唆を得られる。
🏛政策担当者:海運セクターの排出削減政策やIMO規制対応を検討する際の運用側エビデンスとして参照可能。
📄 Abstract（原文）
To address the time-scale mismatch between gas network dynamics (minutes to hours) and power grid response (milliseconds) in hybrid ships, which renders steady-state gas network models overly conservative under propulsion load fluctuations and limits gas-fired unit output, this paper proposes a dynamic gas network model via time-frequency transformation and a joint economic low-carbon dispatch framework. First, gas pipeline PDEs are reduced to frequency-domain algebraic equations, forming a dynamic circuit model with gas resistance, inductance, capacitance, and pressure sources. On a 4-node network, the method achieves a computational speedup of 4.6× over FDM (9.89 s) and 3.7× over FEM (7.9 s), with a runtime of 2.14 s (8 iterations) and mean absolute errors of 10⁻⁴, enabling fast dynamic power flow calculation. Second, the ε-constraint method solves the economic-carbon Pareto front, and a gas-electric closed-loop tightening mechanism yields a two-stage "rigid constraint-flexible regulation" strategy. Results show that applying dynamic constraints reduces gas-fired output by 6.7 % while increasing diesel output by 8.2-10.9 %, cutting total cost by 0.4 % at the expense of a 1.65 % emission increase - reflecting the inherent economic-environmental trade-off. Compared with the steady-state model, the dynamic model increases gas-fired generation share by 3.89 %, lowers cost by 0.13%, cuts emissions by 1.59 %, reduces gas-fired power fluctuation by 13.6-19.8 %, and decreases node pressure and flow fluctuations by approximately 72 % and 19-26 %, respectively, significantly enhancing operational stability and safety. The computation time of 55.7 s (5.65× that of the steady-state model) remains acceptable for day-ahead dispatch, and the method's robustness is confirmed by comprehensive sensitivity analyses. This work provides theoretical and technical support for economic low-carbon operation of hybrid ship gas-electric systems.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.21278/brod78105first seen 2026-11-05 05:09:18 · last seen 2026-11-06 04:51:15
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