Energy and Mass Coupling Efficiency Enhancement and Performance Optimization of an Integrated Liquid Air Energy Storage and SOEC-Based Green Ammonia Synthesis System
統合液体空気蓄エネルギーとSOECベースのグリーンアンモニア合成システムにおけるエネルギーと物質の結合効率向上と性能最適化 (AI 翻訳)
Ziyang Zhang, Qingsong An
🤖 gxceed AI 要約
日本語
本研究は、固体酸化物電解セル（SOEC）、液体空気蓄エネルギー（LAES）、空気分離ユニット（ASU）、およびハーバー・ボッシュ合成を統合したシステムを開発・最適化。内モンゴルの実電力を用いた動的スケジューリングにより、日産1415トンのアンモニア生産で最大時間利益69,838元を達成。LAES弁出口圧力の最適化でラウンドトリップ効率を52.65%から72.18%に向上。
English
This study develops and optimizes an integrated system combining Solid Oxide Electrolysis Cells (SOEC), Liquid Air Energy Storage (LAES), Air Separation Unit (ASU), and Haber–Bosch synthesis for green ammonia production. Using real power data from Inner Mongolia, a dynamic scheduling strategy achieves maximum hourly profit of 69,838 CNY for 1415 tons/day ammonia. Optimizing LAES throttle valve outlet pressure improves round-trip efficiency from 52.65% to 72.18%. System maintains constant load of 45.78 MW with steady ammonia output.
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
本論文は中国内モンゴルの事例に基づくが、日本でも再エネ由来水素・アンモニアの大規模システム設計に示唆を与える。LAESとSOECの連携は、日本のGX重点分野である水素供給チェーン構築に貢献し得る。ただし、直接的な日本政策との連動は弱い。
In the global GX context
This paper presents a novel integration of LAES and SOEC for green ammonia production, which is highly relevant to global efforts in hydrogen economy and renewable energy storage. The optimization framework and dynamic scheduling approach provide valuable insights for developing stable and efficient green ammonia systems, particularly for regions with high renewable penetration like Europe and North America. The use of real power data demonstrates practical applicability.
👥 読者別の含意
🔬研究者:Provides a detailed system model and optimization methodology for integrated green ammonia production, useful for process engineers and energy storage researchers.
🏢実務担当者:Offers operational parameters and cost-benefit analysis for implementing green ammonia plants with energy storage, relevant for project developers and plant operators.
📄 Abstract（原文）
Addressing the challenges of fluctuating renewable energy integration and stable green ammonia production, this study develops and optimizes a deeply integrated system comprising Solid Oxide Electrolysis Cells (SOEC), Liquid Air Energy Storage (LAES), Air Separation Units (ASU), and Haber–Bosch (HB) synthesis. We constructed a simulation model in Aspen Plus incorporating Ru/C catalyst kinetic parameters to analyze key subsystem parameters and optimize operating conditions based on maximized economy and efficiency. At the integrated system level, a parametric analysis of ammonia condensation temperature was further conducted to investigate the coupling characteristics. Using real power output data from Inner Mongolia, we formulated a dynamic energy scheduling strategy satisfying 24-h self-balancing constraints. Results indicate that a system producing 1415 tons of ammonia per day achieves a maximum hourly integrated profit of 69,838 CNY under optimal conditions: a hydrogen-to-nitrogen ratio of 2.98:1, operating pressure of 169 bar, reactor inlet temperature of 380 °C, and ammonia condensation temperature of −9 °C. Increasing the LAES throttle valve outlet pressure from 1 bar to 9 bar improved round-trip efficiency from 52.65% to 72.18%. The integrated-level parametric analysis reveals that the specific electricity consumption per unit mass of ammonia exhibits a non-monotonic trend with a minimum of 8.67 kWh/kg at −10 °C, reflecting the trade-off between refrigeration power consumption and cold energy recovery. In dynamic scheduling scenarios, the system maintains a maximum constant load of 45.78 MW with a steady-state liquid ammonia output of 6543 kg/h. This work optimizes both economic performance and system stability, providing a significant reference for the large-scale development of green ammonia systems.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/pr14101583first seen 2026-05-15 20:05:52
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