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Modeling and Optimization of Biological Desulfurization from Sugarcane-Residue Biogas via the THIOPAQ<sup>®</sup> Process

Nishiyama FE, Elihimas DRM, Ravagnani MAdSS, Bonfim-Rocha L, Costa CBB

Research Squareプレプリント2026-10-14#再生可能エネルギーOrigin: Global経営インパクト: コスト削減対象セクター: agriculture
DOI: 10.20944/preprints202610.1300.v1
原典: https://doi.org/10.20944/preprints202610.1300.v1

🤖 gxceed AI 要約

日本語

サトウキビ残渣由来バイオガスのTHIOPAQ®生物脱硫プロセスをAspen Plusでシミュレーションし、粒子群最適化で経済性を評価した研究。バガス由来が最も低コスト（約62.2万USD/年）で、CO2・H2S濃度やNaOH流量の増加が運転費を押し上げることを示した。

English

This study simulates and economically optimizes the THIOPAQ® biological desulfurization process for biogas from sugarcane residues using Aspen Plus and particle swarm optimization. Bagasse-derived biogas yielded the lowest cost (~621.66k USD/yr); higher CO2/H2S and NaOH flow raise operating costs.

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

バイオマス由来再エネの実装コスト最適化は、日本の地域資源活用型脱炭素や産業部門の再エネ調達に関わる実務的知見を提供する。

In the global GX context

Adds process-level cost evidence for biogas upgrading, relevant to global renewable gas and hard-to-abate decarbonization pathways, though not directly tied to TCFD/ISSB disclosure frameworks.

👥 読者別の含意

🔬研究者:生物脱硫プロセスの経済最適化手法とコスト感度の実証例として参考になる。

🏢実務担当者:バイオガス設備の脱硫コスト低減・運転条件最適化の検討に活用できる。

🏛政策担当者:バイオマス再エネ導入支援策のコスト根拠として参照可能。

📄 Abstract（原文）

Biogas is a promising source of renewable energy, particularly when produced from agro-industrial residues such as sugarcane waste. However, its utilization requires efficient H2S removal to reduce equipment corrosion, toxicity, and catalyst deactivation. This study provides a comprehensive simulation and economic optimization of the THIOPAQ® process for desulfurization of biogas from sugarcane residues. The process was simulated in Aspen Plus v.15 with the ENRTL-RK thermodynamic model. Three biogas compositions derived from sugarcane straw, bagasse, and filter cake were evaluated using data obtained from a local biogas plant. The process was optimized using a particle swarm optimization algorithm. In all optimization cases, the resulting biogas had an H2S concentration of 5.00 mg/Nm3, corresponding to the upper limit imposed by the optimization model constraints. Bagasse-derived biogas had the lowest process cost (621.66 × 103 USD/yr), followed by filter cake-derived biogas (651.85 × 103 USD/yr) and straw-derived biogas (680.83 × 103 USD/yr). The optimization results indicated that higher CO2 and H2S concentrations in the biogas and NaOH flow rates in the desulfurization process are associated with increased operating costs. Overall, the combined simulation and optimization strategy provides an effective approach to evaluate and improve the THIOPAQ® process for biogas desulfurization from different sugarcane residues.

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