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Optimal plant design for integrated biorefinery producing bioethanol and protein from Saccharina japonica: A superstructure-based approach

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  • Dickson, Rofice
  • Ryu, Jun-Hyung
  • Liu, J. Jay

Abstract

A superstructure-based approach was proposed for optimization of biorefineries that use Saccharina japonica as feedstock. The goal of this study was to determine the optimal flowsheet design to maximize the net present value by considering the mass and energy balance, capital and manufacturing costs. Multiple design alternatives reported in the literature were considered at each biorefinery processing stage, which transformed the superstructure optimization into a mixed integer nonlinear programming (MINLP) problem. In order to efficiently compute a solution for the resulting MINLP problem, the separable programming technique is employed by approximating the initial MINLP problem into a mixed integer linear programming (MILP) problem. The results indicated that the minimum ethanol selling price for optimal design is $1.97/gal, whereas the net present value of $61.5 million is obtained based on the current wholesale prices for both products and raw materials. Sensitivity analysis was performed to identify potential for economic improvement. The developed framework has the capacity to efficiently scan through processing alternatives to identify an economically optimal design for different potential objective functions.

Suggested Citation

  • Dickson, Rofice & Ryu, Jun-Hyung & Liu, J. Jay, 2018. "Optimal plant design for integrated biorefinery producing bioethanol and protein from Saccharina japonica: A superstructure-based approach," Energy, Elsevier, vol. 164(C), pages 1257-1270.
    • Handle: RePEc:eee:energy:v:164:y:2018:i:c:p:1257-1270
    DOI: 10.1016/j.energy.2018.09.007
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    References listed on IDEAS

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    1. Fasahati, Peyman & Woo, Hee Chul & Liu, J. Jay, 2015. "Industrial-scale bioethanol production from brown algae: Effects of pretreatment processes on plant economics," Applied Energy, Elsevier, vol. 139(C), pages 175-187.
    2. Fazlollahi, Samira & Mandel, Pierre & Becker, Gwenaelle & Maréchal, Francois, 2012. "Methods for multi-objective investment and operating optimization of complex energy systems," Energy, Elsevier, vol. 45(1), pages 12-22.
    3. Kaparaju, Prasad & Serrano, María & Angelidaki, Irini, 2010. "Optimization of biogas production from wheat straw stillage in UASB reactor," Applied Energy, Elsevier, vol. 87(12), pages 3779-3783, December.
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    Cited by:

    1. Chong, Ting Yen & Cheah, Siang Aun & Ong, Chin Tye & Wong, Lee Yi & Goh, Chern Rui & Tan, Inn Shi & Foo, Henry Chee Yew & Lam, Man Kee & Lim, Steven, 2020. "Techno-economic evaluation of third-generation bioethanol production utilizing the macroalgae waste: A case study in Malaysia," Energy, Elsevier, vol. 210(C).
    2. Liu, J. Jay & Dickson, Rofice & Niaz, Haider & Van Hal, Jaap W. & Dijkstra, J.W. & Fasahati, Peyman, 2022. "Production of fuels and chemicals from macroalgal biomass: Current status, potentials, challenges, and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    3. Ansub Khan, Mohammad & Abbas, Abiha & Dickson, Rofice, 2023. "A strategy for commercialization of macroalga biorefineries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    4. Karagoz, Pınar & Bill, Roslyn M. & Ozkan, Melek, 2019. "Lignocellulosic ethanol production: Evaluation of new approaches, cell immobilization and reactor configurations," Renewable Energy, Elsevier, vol. 143(C), pages 741-752.
    5. Zarei, Mohammadamin & Shams, Mohammad H. & Niaz, Haider & Won, Wangyun & Lee, Chul-Jin & Liu, J. Jay, 2022. "Risk-based multistage stochastic mixed-integer optimization for biofuel supply chain management under multiple uncertainties," Renewable Energy, Elsevier, vol. 200(C), pages 694-705.
    6. Emily Burton & Dawn Scholey & Ashraf Alkhtib & Peter Williams, 2021. "Use of an Ethanol Bio-Refinery Product as a Soy Bean Alternative in Diets for Fast-Growing Meat Production Species: A Circular Economy Approach," Sustainability, MDPI, vol. 13(19), pages 1-13, October.
    7. Szulczyk, Kenneth R. & Tan, Yeng-May, 2022. "Economic feasibility and sustainability of commercial bioethanol from microalgal biomass: The case of Malaysia," Energy, Elsevier, vol. 253(C).
    8. Fasahati, P. & Dickson, R. & Saffron, C.M. & Woo, H.C. & Liu, J. Jay, 2022. "Seaweeds as a sustainable source of bioenergy: Techno-economic and life cycle analyses of its biochemical conversion pathways," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    9. Brigljević, Boris & Liu, Jay J. & Lim, Hankwon, 2019. "Comprehensive feasibility assessment of a poly-generation process integrating fast pyrolysis of S. japonica and the Rankine cycle," Applied Energy, Elsevier, vol. 254(C).
    10. Dickson, Rofice & Liu, J. Jay, 2021. "A strategy for advanced biofuel production and emission utilization from macroalgal biorefinery using superstructure optimization," Energy, Elsevier, vol. 221(C).

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