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Analysis of "green methanol" production from carbon dioxide acquired from negative emission power plants using CFD approach for catalytic reactor

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  • Oleś, Sylwia
  • Ziółkowski, Paweł
  • Mikielewicz, Dariusz

Abstract

The growing global demand for energy, coupled with the urgent need to reduce carbon dioxide (CO₂) emissions, has led to the development of innovative energy cycles such as the negative CO₂ gas power plant (nCO2PP). Carbon dioxide storage and reuse in current industries is therefore becoming an important issue. The answer to this is the process of synthesizing methanol, commonly used in many industries from captured carbon dioxide and hydrogen from electrolysis. Methanol synthesis, a key process in such systems, relies heavily on the use of catalysts, offering significant research opportunities not only in catalyst chemistry, but also in optimizing reactor design and process parameters such as temperature, feed velocity and operating pressure.

Suggested Citation

  • Oleś, Sylwia & Ziółkowski, Paweł & Mikielewicz, Dariusz, 2025. "Analysis of "green methanol" production from carbon dioxide acquired from negative emission power plants using CFD approach for catalytic reactor," Renewable Energy, Elsevier, vol. 240(C).
    • Handle: RePEc:eee:renene:v:240:y:2025:i:c:s0960148124022286
    DOI: 10.1016/j.renene.2024.122160
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    References listed on IDEAS

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    1. Kotowicz, J. & Brzęczek, M., 2021. "Methods to increase the efficiency of production and purification installations of renewable methanol," Renewable Energy, Elsevier, vol. 177(C), pages 568-583.
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    4. Ha, Chan & Zhou, Zhaozhou & Qin, Jiang & Wang, Cong & Liu, Zekuan & Leng, Shuang, 2024. "Structural optimization calculation of methanol spiral tube reformer based on waste heat utilization and experimental verification of reactor performance," Renewable Energy, Elsevier, vol. 226(C).
    5. Timilsina, Manish Sharma & Chaudhary, Yuvraj & Shah, Aman Kumar & Lohani, Sunil Prasad & Bhandari, Ramchandra & Uprety, Bibek, 2024. "Syngas composition analysis for waste to methanol production: Techno-economic assessment using machine learning and Aspen plus," Renewable Energy, Elsevier, vol. 228(C).
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