Dezembro 2024 vol. 11 num. 2 - X Simpósio Internacional de Inovação e Tecnologia

Completo - Open Access.

Idioma principal | Segundo idioma

A BRIEF OVERVIEW OF HYDROGEN SUPPLY CHAIN DESIGN AND OPTIMIZATION: A TAXONOMY PERSPECTIVE

A BRIEF OVERVIEW OF HYDROGEN SUPPLY CHAIN DESIGN AND OPTIMIZATION: A TAXONOMY PERSPECTIVE

Santana, Leonardo Oliveira Santos de ; Pessoa, Fernando Luiz Pellegrini ; Póvoa, Ana Paula Barbosa ;

Completo:

"Hydrogen is increasingly recognized as a critical element in decarbonizing various sectors including energy, transport, chemical industry, and agriculture. Despite its potential, the broader integration of hydrogen into these sectors is hampered by significant technological challenges related to its production, transport, and storage. Addressing these challenges necessitates the development of a robust and sustainable hydrogen supply chain (HSC), thus, this paper aims to clarify the main elements of an HSC, by creating a taxonomic tree framework and discussing the HSC state-of-art. Several key insights were gleaned such as the necessity of employing non-linear optimization models, the importance of considering the social pillar of sustainability, and the notable lack of HSC research focusing on Brazil as a study area."

Completo:

"Hydrogen is increasingly recognized as a critical element in decarbonizing various sectors including energy, transport, chemical industry, and agriculture. Despite its potential, the broader integration of hydrogen into these sectors is hampered by significant technological challenges related to its production, transport, and storage. Addressing these challenges necessitates the development of a robust and sustainable hydrogen supply chain (HSC), thus, this paper aims to clarify the main elements of an HSC, by creating a taxonomic tree framework and discussing the HSC state-of-art. Several key insights were gleaned such as the necessity of employing non-linear optimization models, the importance of considering the social pillar of sustainability, and the notable lack of HSC research focusing on Brazil as a study area."

Download (PDF)

Palavras-chave: Hydrogen supply chain (HSC), Supply chain design, optimization models, sustainable energy,

Palavras-chave: Hydrogen supply chain (HSC), Supply chain design, optimization models, sustainable energy,

DOI: 10.5151/siintec2024-393154

Referências bibliográficas
  • [1] "1 Atilhan, M., et al. Green hydrogen as an energy vector for value-added chemical production.
  • [2] Journal of Cleaner Production, 294, 126268. 2021.
  • [3] 2 Zhang, L., et al. A comprehensive review of the promising clean energy carrier: hydrogen
  • [4] production, transportation, storage, and utilization (HPTSU) technologies. Fuel, 355, 129455.
  • [5] 2024.
  • [6] 3 Câmara, D., et al. Multi-objective optimization approach to design and planning hydrogen
  • [7] supply chain under uncertainty: A Portugal study case. Computer Aided Chemical
  • [8] Engineering, 46, 1309-1314. 2019.
  • [9] 4 Sgarbossa, F., et al. Renewable hydrogen supply chains: A planning matrix and an agenda
  • [10] for future research. International Journal of Production Economics, 255. 2023.
  • [11] 5 Azzaro-Pantel, C. Hydrogen Supply Chains, Academic Press. 2018.
  • [12] 6 Moreno-Benito, M., et al. Towards a sustainable hydrogen economy: Optimisation-based
  • [13] framework for hydrogen infrastructure development. Computers and Chemical Engineering,
  • [14] 102, 110-127. 2017.
  • [15] 7 He, J., et al. Hydrogen supply chain planning with flexible transmission and storage
  • [16] scheduling. Joule, 5(2), 406-431. 2021.
  • [17] 8 Santana, L., et al. Water sources evaluation for green hydrogen production: a case study in
  • [18] Brazil. Computer Aided Chemical Engineering, 52, 2923-2928, 2023.
  • [19] 9 Barbosa-Povoa, A. et al. Opportunities and challenges in sustainable supply chain: An
  • [20] operations research perspective. Computers & Chemical Engineering, 120, 2-22. 2018.
  • [21] 10 Popovic, T., et al. Social evaluation of supply chains. Production Planning & Control,
  • [22] 29(8), 655-670. 2018.
  • [23] 11 Silva, C., et al. Integrating economic, environmental, and social concerns into the design and
  • [24] planning of supply chains using monetization strategies. Computer Aided Chemical
  • [25] Engineering, 52, 3351-3356, 2023.
  • [26] 12 BARBOSA-POVOA, A., PINTO, J. Process supply chains: Perspectives from academia and
  • [27] industry. Computers & Chemical Engineering, v. 132, p. 106606, 2020.
  • [28] 13 Hasan, M., et al. Challenges and opportunities in carbon capture, utilization, and storage: a
  • [29] process system engineering perspective. Computers & Chemical engineering, 107925,
  • [30] 2022.
  • [31] 14 RIERA, J. et al. A review of hydrogen production and supply chain modeling and
  • [32] optimization. International Journal of Hydrogen Energy, v. 48, n. 37, p. 13731-13755, 2023. 15 OH, Hui Xuan; NG, Denny KS; ANDIAPPAN, Viknesh. Decision Support Model for Planning
  • [33] Optimal Hydrogen Supply Chains. Industrial & Engineering Chemistry Research, v. 62, n.
  • [34] 38, p. 15535-15552, 2023.
  • [35] 16 MARZOUK, O. 2030 Ambitions for Hydrogen, Clean Hydrogen, and Green
  • [36] Hydrogen. Engineering Proceedings, v. 56, n. 1, p. 14, 2023.
  • [37] 17 NIZAMI, M. et al. Exploring optimal pathways of the high-CO2 content natural gas source to
  • [38] chemicals and fuels using superstructure multi-objective optimization. Journal of Cleaner
  • [39] Production, v. 435, p. 140576, 2024.
  • [40] 18 Özbek, B.; Güler, M. ANALYSIS OF A HYDROGEN SUPPLY CHAIN WITH RANDOM
  • [41] DEMAND: A CASE STUDY. In: Proceedings of WHEC 2022 - 23rd World Hydrogen Energy
  • [42] Conference: Bridging Continents by H2, p. 1412-1414, 2022.
  • [43] 19 CANTÚ, V. et al. A Novel metaheuristic based on bi-level optimization for the multi-Objective
  • [44] design of hydrogen supply chains. Computers & Chemical Engineering, v. 152, p. 107370,
  • [45] 2021.
  • [46] 20 CANTÚ, V et al. Multi-objective evolutionary algorithm based on decomposition (MOEA/D)
  • [47] for optimal design of hydrogen supply chains. In: Computer Aided Chemical Engineering.
  • [48] Elsevier, 2020. p. 883-888.
  • [49] 21 DAUTEL, J et al. Enabling industrial decarbonization: A MILP optimization model for lowcarbon hydrogen supply chains. International Journal of Hydrogen Energy, v. 77, p. 863-
  • [50] 891, 2024.
  • [51] 22 KHALIGH, V et al. Multi-period hydrogen supply chain planning for advancing hydrogen
  • [52] transition roadmaps. Renewable and Sustainable Energy Reviews, v. 200, p. 114536, 2024.
  • [53] 23 JANG, J.; LEE, H. Effective hydrogen supply chain management framework considering
  • [54] nonlinear multi-stage process uncertainties. Applied Energy, v. 367, p. 123328, 2024.
  • [55] 24 MANAFZADEH, P. et al. Towards building clean hydrogen supply chain network in Iran for
  • [56] future domestic demand and exports. Part I: Prioritization of scenarios. International Journal
  • [57] of Hydrogen Energy, v. 72, p. 559-572, 2024.
  • [58] 25 DA SILVA, G. et al. Developing and applying the Hydrogen Economics and infRAstructure
  • [59] optimization model (HERA). International Journal of Hydrogen Energy, v. 61, p. 1170-1186,
  • [60] 2024.
  • [61] 26CUTORE, E. et al. Spatially-explicit optimization of an integrated wind-hydrogen supply chain
  • [62] network for the transport sector: The case study of Sicily. International Journal of Hydrogen
  • [63] Energy, v. 52, p. 761-774, 2024.
  • [64] 27 LEE, S. et al. Site and capacity selection for on-site production facilities in a nationwide
  • [65] hydrogen supply chain deployment plan. International Journal of Hydrogen Energy, v. 50,
  • [66] p. 968-987, 2024.
  • [67] 28 TIAN, M. et al. Simulation and feasibility assessment of a green hydrogen supply chain: a
  • [68] case study in Oman. Environmental Science and Pollution Research, p. 1-16, 2024.
  • [69] 29 LI, L. et al. The Creation of the Hydrogen Supply Chain Decision Database. Energies, v. 16,
  • [70] n. 24, p. 8081, 2023.
  • [71] 30 KLAPPERSTUECK, M. et al. Exploring hydrogen supply/demand networks: Modeller and
  • [72] domain expert views. In: 29th International Conference on Principles and Practice of
  • [73] Constraint Programming (CP 2023). Schloss Dagstuhl-Leibniz-Zentrum für Informatik, 2023.
  • [74] 31 CANTÚ, V. et al. Capturing spatial, time-wise and technological detail in hydrogen supply
  • [75] chains: A bi-level multi-objective optimization approach. Applied Energy, v. 344, p. 121159,
  • [76] 2023.
  • [77] 32 GORJI, S. Challenges and opportunities in green hydrogen supply chain through
  • [78] metaheuristic optimization. Journal of Computational Design and Engineering, v. 10, n. 3,
  • [79] p. 1143-1157, 2023. 33 SILVA, F. et al. Design and planning green hydrogen supply chains: characterization and
  • [80] optimization. In: Computer Aided Chemical Engineering. Elsevier, 2024. p. 2419-2424."
Como citar:

Santana, Leonardo Oliveira Santos de; Pessoa, Fernando Luiz Pellegrini; Póvoa, Ana Paula Barbosa; "A BRIEF OVERVIEW OF HYDROGEN SUPPLY CHAIN DESIGN AND OPTIMIZATION: A TAXONOMY PERSPECTIVE", p. 1195-1203 . In: . São Paulo: Blucher, 2024.
ISSN 2357-7592, DOI 10.5151/siintec2024-393154

últimos 30 dias | último ano | desde a publicação


downloads


visualizações


indexações