A strategy for the integration of production planning and reactive scheduling in the optimization of a hydrogen supply network

2003 ◽  
Vol 27 (12) ◽  
pp. 1813-1839 ◽  
Author(s):  
Susara A. van den Heever ◽  
Ignacio E. Grossmann
2021 ◽  
Author(s):  
Malik Sajawal Akhtar ◽  
Rofice Dickson ◽  
Haider Niaz ◽  
Dong Won Hwang ◽  
J. Jay Liu

Economical and environmental sustainability of hydrogen supply routes is evaluated for hydrogen refueling stations.


2020 ◽  
Vol 12 (10) ◽  
pp. 4114 ◽  
Author(s):  
Sungmi Bae ◽  
Eunhan Lee ◽  
Jinil Han

The hydrogen economy refers to an economic and industrial structure that uses hydrogen as its main energy source, replacing traditional fossil-fuel-based energy systems. In particular, the widespread adoption of hydrogen fuel cell vehicles (HFCVs) is one of the key factors enabling a hydrogen economy, and aggressive investment in hydrogen refuelling infrastructure is essential to make large-scale adoption of HFCVs possible. In this study, we address the problem of effectively designing a hydrogen supply network for refuelling HFCVs in urban areas relatively far from a large hydrogen production site, such as a petrochemical complex. In these urban areas where mass supply of hydrogen is not possible, hydrogen can be supplied by reforming city gas. In this case, building distributed hydrogen production bases that extract large amounts of hydrogen from liquefied petroleum gas (LPG) or compressed natural gas (CNG) and then supply hydrogen to nearby hydrogen stations may be a cost-effective option for establishing a hydrogen refuelling infrastructure in the early stage of the hydrogen economy. Therefore, an optimization model is proposed for effectively deciding when and where to build hydrogen production bases and hydrogen refuelling stations in an urban area. Then, a case study of the southeastern area of Seoul, known as a commercial and residential center, is discussed. A variety of scenarios for the design parameters of the hydrogen supply network are analyzed based on the target of the adoption of HFCVs in Seoul by 2030. The proposed optimization model can be effectively used for determining the time and sites for building hydrogen production bases and hydrogen refuelling stations.


2008 ◽  
Vol 41 (2) ◽  
pp. 10582-10587
Author(s):  
Jayeola Femi Opadiji ◽  
Toshiya Kaihara

Processes ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 505
Author(s):  
Sadaf Hemmati ◽  
M. Mostafa Elnegihi ◽  
Chee Hoong Lee ◽  
Darren Yu Lun Chong ◽  
Dominic C. Y. Foo ◽  
...  

Due to the expanding concern on cleaner production and sustainable development aspects, a technology shift is needed for the hydrogen production, which is commonly derived from natural gas. This work aims to synthesise a large-scale bio-hydrogen network in which its feedstock, i.e., bio-methane, is originated from landfill gas and palm oil mill effluent (POME). Landfill gas goes through a biogas upgrader where high-purity bio-methane is produced, while POME is converted to bio-methane using anaerobic digestor (AD). The generated bio-methane is then distributed to the corresponding hydrogen sink (e.g., oil refinery) through pipelines, and subsequently converted into hydrogen via steam methane reforming (SMR) process. In this work, P-graph framework is used to determine a supply network with minimum cost, while ensuring the hydrogen demands are satisfied. Two case studies in the West and East Coasts of Peninsular Malaysia are used to illustrate the feasibility of the proposed model. In Case Study 1, four scenarios on the West Coast have been considered, showing total cost saving ranging between 25.9% and 49.5%. This showed that aside from the positive environmental impact, the incorporation of bio-hydrogen supply can also be economically feasible. Such benefits can also be seen in Case Study 2, where the uptake of biogas from landfill and POME sources on the East Coast can lead to a 31% reduction on total network cost. In addition, the effect of bio-hydrogen supply network on carbon footprint reduction was analysed in this work.


2008 ◽  
Vol 32 (11) ◽  
pp. 2529-2535 ◽  
Author(s):  
Young Kim ◽  
Choamun Yun ◽  
Seung Bin Park ◽  
Sunwon Park ◽  
L.T. Fan

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