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Optimal use of hybrid feedstock, switchgrass and shale gas for the simultaneous production of hydrogen and liquid fuels

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  • Martín, Mariano
  • Grossmann, Ignacio E.

Abstract

In this paper, we present a superstructure optimization approach for the integration of the simultaneous production of liquid fuels and hydrogen from switchgrass and shale gas. The process is based on Fischer-Tropsch technology in which the shale gas is reformed with steam, while the switchgrass is gasified and reformed (with steam or partial oxidation). The raw gas is cleaned up and its composition may be adjusted (using either water gas shift reaction or pressure swift adsorption). Next, the sour gases are removed before the liquid fuels are produced using an FT reactor. The heavy liquids are upgraded using hydrocracking to increase the yield towards FT-diesel. A sensitivity study on the raw material prices reveals that production costs for the biomass-shale gas facility are below $1/gal as long as biomass price is below $100/t and the price of the shale gas is not higher than $11.5/MMBTU. Furthermore, hydrogen is produced as long as the demand for liquid fuels can be met and there is enough shale gas available.

Suggested Citation

  • Martín, Mariano & Grossmann, Ignacio E., 2013. "Optimal use of hybrid feedstock, switchgrass and shale gas for the simultaneous production of hydrogen and liquid fuels," Energy, Elsevier, vol. 55(C), pages 378-391.
    • Handle: RePEc:eee:energy:v:55:y:2013:i:c:p:378-391
    DOI: 10.1016/j.energy.2013.04.005
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    1. Mooney, Daniel F. & Roberts, Roland K. & English, Burton C. & Tyler, Donald D. & Larson, James A., 2008. "Switchgrass Production in Marginal Environments: A Comparative Economic Analysis across Four West Tennessee Landscapes," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6403, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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    Cited by:

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    2. Tan, Siah Hong & Barton, Paul I., 2017. "Optimal shale oil and gas investments in the United States," Energy, Elsevier, vol. 141(C), pages 398-422.
    3. Zhong, Dong-Liang & Li, Zheng & Lu, Yi-Yu & Wang, Jia-Le & Yan, Jin, 2015. "Evaluation of CO2 removal from a CO2+CH4 gas mixture using gas hydrate formation in liquid water and THF solutions," Applied Energy, Elsevier, vol. 158(C), pages 133-141.
    4. Subramanian, Avinash S.R. & Gundersen, Truls & Barton, Paul I. & Adams, Thomas A., 2022. "Global optimization of a hybrid waste tire and natural gas feedstock polygeneration system," Energy, Elsevier, vol. 250(C).
    5. Davis, William & Martín, Mariano, 2014. "Optimal year-round operation for methane production from CO2 and water using wind energy," Energy, Elsevier, vol. 69(C), pages 497-505.
    6. Tan, Siah Hong & Barton, Paul I., 2015. "Optimal dynamic allocation of mobile plants to monetize associated or stranded natural gas, part I: Bakken shale play case study," Energy, Elsevier, vol. 93(P2), pages 1581-1594.
    7. Li, Fang & Arthur, Ernest Evans & La, Dahye & Li, Qiming & Kim, Hern, 2014. "Immobilization of CoCl2 (cobalt chloride) on PAN (polyacrylonitrile) composite nanofiber mesh filled with carbon nanotubes for hydrogen production from hydrolysis of NaBH4 (sodium borohydride)," Energy, Elsevier, vol. 71(C), pages 32-39.
    8. Deng, Chun & Zhou, Yuhang & Chen, Cheng-Liang & Feng, Xiao, 2015. "Systematic approach for targeting interplant hydrogen networks," Energy, Elsevier, vol. 90(P1), pages 68-88.
    9. Sharma, Ashokkumar M. & Kumar, Ajay & Madihally, Sundararajan & Whiteley, James R. & Huhnke, Raymond L., 2014. "Prediction of biomass-generated syngas using extents of major reactions in a continuous stirred-tank reactor," Energy, Elsevier, vol. 72(C), pages 222-232.

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