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  1. AU="Hamedi, Homa"
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  3. AU="Von Feldt, Joan M"
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  1. Article: Rigorous and Customizable 1D Simulation Framework for Membrane Reactors to, in Principle, Enhance Synthetic Methanol Production

    Hamedi, Homa / Brinkmann, Torsten

    ACS sustainable chemistry & engineering. 2021 May 21, v. 9, no. 22

    2021  

    Abstract: Power-to-liquid production via methanol synthesis has a high potential for emission reduction and carbon-neutral fuel production. However, the low equilibrium conversion of methanol synthesis via CO₂ hydrogenation is identified as an important impediment ...

    Abstract Power-to-liquid production via methanol synthesis has a high potential for emission reduction and carbon-neutral fuel production. However, the low equilibrium conversion of methanol synthesis via CO₂ hydrogenation is identified as an important impediment in the further development of the technology. The latter necessitates a more innovative reactor design like membrane reactors to enhance the reaction conversion. In this article, a rigorous and customizable model for membrane reactors is developed using an equation-oriented flowsheet approach. The module requires no analytical correlations for thermodynamic properties, which often fail to reflect the system behavior accurately, or simplifying assumptions such as isobaric and isothermal operation conditions. The model was applied to the synthetic methanol production to determine to what extent a conceptual water-selective membrane reactor improves the reaction’s conversion and selectivity. We propose the process conditions at which a membrane reactor enhances these two key metrics, given the module’s heat transfer mode. This conceptual modeling serves as a guiding benchmark for future innovative reactor designs and facilitates the prospective process development and optimization due to the possible exportation and incorporation into the standard flowsheet simulators such as HYSYS or Aspen Plus.
    Keywords carbon dioxide ; fuel production ; green chemistry ; heat transfer ; hydrogenation ; methanol ; models
    Language English
    Dates of publication 2021-0521
    Size p. 7620-7629.
    Publishing place American Chemical Society
    Document type Article
    Note NAL-AP-2-clean
    ISSN 2168-0485
    DOI 10.1021/acssuschemeng.1c01677
    Database NAL-Catalogue (AGRICOLA)

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  2. Article ; Online: A review on machine learning approaches for microalgae cultivation systems.

    Syed, Tehreem / Krujatz, Felix / Ihadjadene, Yob / Mühlstädt, Gunnar / Hamedi, Homa / Mädler, Jonathan / Urbas, Leon

    Computers in biology and medicine

    2024  Volume 172, Page(s) 108248

    Abstract: Microalgae plays a crucial role in biomass production within aquatic environments and are increasingly recognized for their potential in generating biofuels, biomaterials, bioactive compounds, and bio-based chemicals. This growing significance is driven ... ...

    Abstract Microalgae plays a crucial role in biomass production within aquatic environments and are increasingly recognized for their potential in generating biofuels, biomaterials, bioactive compounds, and bio-based chemicals. This growing significance is driven by the need to address imminent global challenges such as food and fuel shortages. Enhancing the value chain of bio-based products necessitates the implementation of an advanced screening and monitoring system. This system is crucial for tailoring and optimizing the cultivation conditions, ensuring the lucrative and efficient production of the final desired product. This, in turn, underscores the necessity for robust predictive models to accurately emulate algae growth in different conditions during the initial cultivation phase and simulate their subsequent processing in the downstream stage. In pursuit of these objectives, diverse mechanistic and machine learning-based methods have been independently employed to model and optimize microalgae processes. This review article thoroughly examines the techniques delineated in the literature for modeling, predicting, and monitoring microalgal biomass across various applications such as bioenergy, pharmaceuticals, and the food industry. While highlighting the merits and limitations of each method, we delve into the realm of newly emerging hybrid approaches and conduct an exhaustive survey of this evolving methodology. The challenges currently impeding the practical implementation of hybrid techniques are explored, and drawing inspiration from successful applications in other machine-learning-assisted fields, we review various plausible solutions to overcome these obstacles.
    MeSH term(s) Microalgae ; Biofuels ; Biomass ; Food
    Chemical Substances Biofuels
    Language English
    Publishing date 2024-03-10
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2024.108248
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 653: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
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  3. Article ; Online: Recycling of Spent FCC Catalysts: Conversion of Leached Residues to Zeolite ZSM-5.

    Timoshev, Vladislav / Haufe, Liane A / Busse, Oliver / Hamedi, Homa / Seifert, Markus / Weigand, Jan J

    ChemSusChem

    2024  , Page(s) e202301642

    Abstract: The commercial recycling of spent FCC catalyst typically focuses on recovering only 1-3 % of rare-earth elements, with the remaining residues often disposed of in landfills. Here, we present a novel method to close a recycling loop for spent FCC catalyst. ...

    Abstract The commercial recycling of spent FCC catalyst typically focuses on recovering only 1-3 % of rare-earth elements, with the remaining residues often disposed of in landfills. Here, we present a novel method to close a recycling loop for spent FCC catalyst. The method involves a series of leaching steps: Firstly, the spent catalyst material is leached with HNO
    Language English
    Publishing date 2024-03-10
    Publishing country Germany
    Document type Journal Article
    ISSN 1864-564X
    ISSN (online) 1864-564X
    DOI 10.1002/cssc.202301642
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Order via subito

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    Inter-library loan at ZB MED

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  4. Article: Membrane-Assisted Methanol Synthesis Processes and the Required Permselectivity.

    Hamedi, Homa / Brinkmann, Torsten / Shishatskiy, Sergey

    Membranes

    2021  Volume 11, Issue 8

    Abstract: Water-selective membrane reactors are proposed in the literature to improve methanol yield for a standalone reactor. However, the methanol productivity is not a precise metric to show the system improvement since, with this approach, we do not consider ... ...

    Abstract Water-selective membrane reactors are proposed in the literature to improve methanol yield for a standalone reactor. However, the methanol productivity is not a precise metric to show the system improvement since, with this approach, we do not consider the amount of energy loss through the undesirable co-permeation of H
    Language English
    Publishing date 2021-08-06
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2077-0375
    ISSN 2077-0375
    DOI 10.3390/membranes11080596
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Sustainability Assessment of Thermocatalytic Conversion of CO₂ to Transportation Fuels, Methanol, and 1-Propanol

    Vo, Chi Hung / Mondelli, Cecilia / Hamedi, Homa / Pérez-Ramírez, Javier / Farooq, Shamsuzzaman / Karimi, Iftekhar A.

    ACS sustainable chemistry & engineering. 2021 July 29, v. 9, no. 31

    2021  

    Abstract: Using captured CO₂ as a chemical feedstock is widely considered toward establishing low carbon technologies to mitigate climate change. Process systems engineering analyses can help increase the chances of success by identifying attractive targets at ... ...

    Abstract Using captured CO₂ as a chemical feedstock is widely considered toward establishing low carbon technologies to mitigate climate change. Process systems engineering analyses can help increase the chances of success by identifying attractive targets at early stages. Here, a comparative techno-economic and environmental analysis of three thermocatalytic CO₂-based plants individually producing liquid hydrocarbon transportation fuels (LHTF), methanol, and 1-propanol is introduced. While the 1-propanol plant generates a remarkable profit, the LHTF and methanol plants are not economically viable, mainly due to the CO₂ and H₂ input cost. Sensitivity analysis shows that the feedstock prices need to drop by 80% for these two plants to break even. A tax structure is not a sensible option since it would be more than 4 times the highest carbon tax currently implemented in the country. In terms of the environmental performance, the CO₂ utilization efficiencies are 45.5, 60.1, and −33.8% for LHTF, methanol, and 1-propanol syntheses, respectively. The negative utilization efficiency in the 1-propanol plant highlights the need of a greener production of its raw material ethylene. When the entire life cycles of the products are considered, these emerging plants emit 85.9, 77.4, and 35.9% less CO₂ than their conventional counterparts for the same output. Our study provides the first evaluation of CO₂-based 1-propanol synthesis, highlighting its potential, underscores gaps in the CO₂-based LHTF, methanol, and 1-propanol by comparing them on a uniform common basis, and sets future research directions.
    Keywords 1-propanol ; carbon ; carbon dioxide ; carbon markets ; climate change ; economic sustainability ; environmental assessment ; environmental performance ; ethylene ; feedstocks ; green chemistry ; liquids ; methanol ; transportation
    Language English
    Dates of publication 2021-0729
    Size p. 10591-10600.
    Publishing place American Chemical Society
    Document type Article
    ISSN 2168-0485
    DOI 10.1021/acssuschemeng.1c02805
    Database NAL-Catalogue (AGRICOLA)

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