| Issue |
E3S Web Conf.
Volume 194, 2020
2020 5th International Conference on Advances in Energy and Environment Research (ICAEER 2020)
|
|
|---|---|---|
| Article Number | 02028 | |
| Number of page(s) | 4 | |
| Section | Renewable Energy and New Energy Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202019402028 | |
| Published online | 15 October 2020 | |
A multi-optimization model for the design of hydrogen supply chains
1 Sunrise Power CO.,LTD. Dalian, 116085, PR China.
2 Dalian institute of chemical physics, Chinese academy of sciences. Dalian, 116023, PR China
3 School of Mechanical Engineering and Automation, Dalian Polytechnic University, Dalian, 116034, China.
4 Sch Automot Studies, Tongji Univ, 4800 Caoangong Rd, Shanghai 200092, PR China
* Corresponding author: limiaolaile@163.com
This paper presents a multi-objective optimization models which operating as time processes (2025-2035) for the design of hydrogen supply chain. The feasibility of the models are illustrated through a detail case study of Dalian, China. Furthermore, the case is evaluated with the total daily costs and CO2 emissions reduction constraints. The results show that with the increase of hydrogen demand, considering the environmental factors, SMR are mostly applied in hydrogen production link. Shahekou and Pulandian grids are suitable for the constructions of hydrogen production units. Tank trucks are the main modes of hydrogen transportation. The proposed design models can provide policy-makers with the selection of infrastructures pathways for strategic dynamic hydrogen development planning.
© The Authors, published by EDP Sciences, 2020
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