動的運転下におけるrSOCスタックの局所温度・利用率・電圧勾配の予測

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:動的rSOCスタックモデリングにおける空間分解能と計算効率の両立手法として参考になる。

🏢実務担当者:系統連系rSOCシステムの運転制御や燃料柔軟運用の設計・評価に活用できる。

🏛政策担当者:水素・電解技術の系統統合や再生可能エネルギー大量導入政策の技術的裏付けとして留意。

As highly efficient and fuel-flexible devices capable of switching between power generation and electrolysis, reversible solid oxide cells (rSOCs) offer a promising pathway for integrating fluctuating renewable energy into future energy systems. rSOCs operating in dynamic environments must withstand rapid variations in electrical load, fuel composition, and operating mode while remaining within strict thermal and electrochemical limits. Existing models often lack the spatial fidelity needed to capture these constraints or the computational tractability required for large-scale and system-level studies. This work presents a dynamic, one-dimensional rSOC stack model implemented in Modelica, constructed by coupling a mechanistic single-cell unit into an array-based stack representation. The model captures the essential multi-physics of rSOC operation—including electrochemistry, gas transport, heat transfer, and fuel conversion—and inherently supports reversible SOFC/SOEC operation and fuel-flexible behavior. The discretization along the stack direction enables per-cell prediction of temperature, fuel utilization, and cell voltage, thereby resolving spatial non-uniformities that critically shape safe operating limits. As illustrated in the accompanying figure, simulations across global fuel utilizations of 0.70–0.95 reveal the migration of thermal hot zones, the emergence of fuel-starvation regions, and the amplification of local voltage gradients. These insights enable the derivation of operating envelopes that couple current density, utilization, and fuel composition for safe and efficient operation. Owing to its computational efficiency and physical consistency, the model serves as a high-fidelity yet tractable tool for a broad range of analyses—from fuel-flexible stack operation and control strategy development to grid-interactive rSOC system assessment, where fluctuating renewable power, load-following operation, and mode switching impose demanding transient conditions on the stack. This framework therefore provides a rigorous and scalable basis for advancing next-generation, fuel-flexible, and grid-integrated rSOC technologies.

• Zenodo https://zenodo.org/records/23009043first seen 2026-10-01 04:14:27