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Multi-Objective Optimal Design of a Hydrogen Supply Chain Powered with Agro-Industrial Wastes from the Sugarcane Industry: A Mexican Case Study

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  • Luis Miguel Reyes-Barquet

    (Graduate Studies and Research Division, Tecnológico Nacional de México/Instituto Tecnológico de Orizaba, Calle Oriente 9 Colonia Emiliano Zapata, Orizaba 94320, Mexico)

  • José Octavio Rico-Contreras

    (Grupo Porres Corporativo, Km 355 Carretera Federal Fortín de las Flores, Cordoba 94540, Mexico)

  • Catherine Azzaro-Pantel

    (Laboratoire de Génie Chimique, Université de Toulouse, U.M.R. 5503 CNRS/INP/UPS, 4 allée Emile Monso, CEDEX 4, 31432 Toulouse, France)

  • Constantino Gerardo Moras-Sánchez

    (Graduate Studies and Research Division, Tecnológico Nacional de México/Instituto Tecnológico de Orizaba, Calle Oriente 9 Colonia Emiliano Zapata, Orizaba 94320, Mexico)

  • Magno Angel González-Huerta

    (Graduate Studies and Research Division, Tecnológico Nacional de México/Instituto Tecnológico de Orizaba, Calle Oriente 9 Colonia Emiliano Zapata, Orizaba 94320, Mexico)

  • Daniel Villanueva-Vásquez

    (Departamento de Investigación y Posgrado, Tecnológico Nacional de México/Instituto Tecnológico Superior de Misántla, Km 1.8 Carretera a Lomas de Cojolite, Misantla 93821, Mexico)

  • Alberto Alfonso Aguilar-Lasserre

    (Graduate Studies and Research Division, Tecnológico Nacional de México/Instituto Tecnológico de Orizaba, Calle Oriente 9 Colonia Emiliano Zapata, Orizaba 94320, Mexico)

Abstract

This paper presents an optimization modeling approach to support strategic planning for designing hydrogen supply chain (HSC) networks. The energy source for hydrogen production is proposed to be electricity generated at Mexican sugar factories. This study considers the utilization of existing infrastructure in strategic areas of the country, which brings several advantages in terms of possible solutions. This study aims to evaluate the economic and environmental implications of using biomass wastes for energy generation, and its integration to the national energy grid, where the problem is addressed as a mixed-integer linear program (MILP), adopting maximization of annual profit, and minimization of greenhouse gas emissions as optimization criteria. Input data is provided by sugar companies and the national transport and energy information platform, and were represented by probability distributions to consider variability in key parameters. Independent solutions show similarities in terms of resource utilization, while also significant differences regarding economic and environmental indicators. Multi-objective optimization was performed by a genetic algorithm (GA). The optimal HSC network configuration is selected using a multi-criteria decision technique, i.e., TOPSIS. An uncertainty analysis is performed, and main economic indicators are estimated by investment assessment. Main results show the trade-off interactions between the HSC elements and optimization criteria. The average internal rate of return (IRR) is estimated to be 21.5% and average payback period is 5.02 years.

Suggested Citation

  • Luis Miguel Reyes-Barquet & José Octavio Rico-Contreras & Catherine Azzaro-Pantel & Constantino Gerardo Moras-Sánchez & Magno Angel González-Huerta & Daniel Villanueva-Vásquez & Alberto Alfonso Aguila, 2022. "Multi-Objective Optimal Design of a Hydrogen Supply Chain Powered with Agro-Industrial Wastes from the Sugarcane Industry: A Mexican Case Study," Mathematics, MDPI, vol. 10(3), pages 1-42, January.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:3:p:437-:d:738055
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    References listed on IDEAS

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    1. Parker, Nathan, 2007. "Optimizing the Design of Biomass Hydrogen Supply ChainsUsing Real-World Spatial Distributions: A Case Study Using California Rice Straw," Institute of Transportation Studies, Working Paper Series qt5kr728sp, Institute of Transportation Studies, UC Davis.
    2. Parker, Nathan C, 2007. "Optimizing the Design of Biomass Hydrogen Supply Chains Using Real-World Spatial Distributions: A Case Study Using California Rice Straw," Institute of Transportation Studies, Working Paper Series qt8sp9n37c, Institute of Transportation Studies, UC Davis.
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    Cited by:

    1. Sgaramella, Antonio & Pastore, Lorenzo Mario & Lo Basso, Gianluigi & de Santoli, Livio, 2023. "Optimal RES integration for matching the Italian hydrogen strategy requirements," Renewable Energy, Elsevier, vol. 219(P1).
    2. Jiwon Yu & Young Jae Han & Hyewon Yang & Sugil Lee & Gildong Kim & Chulung Lee, 2022. "Promising Technology Analysis and Patent Roadmap Development in the Hydrogen Supply Chain," Sustainability, MDPI, vol. 14(21), pages 1-20, October.

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