Two-Layer Optimization Planning Model for Integrated Energy Systems in Hydrogen Refueling Original Station

Mengxuan Yan, Shen-En Peng, Chun Sing Lai (), Si-Zhe Chen (), Jing Liu, Junhua Xu, Fangyuan Xu, Loi Lei Lai and Gang Chen
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Mengxuan Yan: School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Shen-En Peng: School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Chun Sing Lai: School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Si-Zhe Chen: School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Jing Liu: School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Junhua Xu: School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Fangyuan Xu: School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Loi Lei Lai: School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Gang Chen: Jiangmen Power Supply Bureau of Guangdong Power Grid Co., Ltd., Jiangmen 529000, China

Sustainability, 2023, vol. 15, issue 10, 1-16

Abstract: With the aggravation of global environmental pollution problems and the need for energy restructuring, hydrogen energy, as a highly clean resource, has gradually become a hot spot for research in countries around the world. Facing the requirement of distributed hydrogen in refueling the original station for hydrogen transportation and other usage, this paper proposes a comprehensive energy system planning model for hydrogen refueling stations to obtain the necessary devices construction, the devices’ capacity decisions, and the optimal operation behaviors of each device. Comparing to traditional single hydrogen producing technics in the traditional planning model, the proposed model in this paper integrates both water-electrolysis-based and methanol-based manufacturing technics. A two-level optimization model is designed for this comprehensive system. The result of the numerical study shows that the proposed model can achieve a better optimal solution for distributed hydrogen production. Also, it considers the single producing situation when price of one primary resource is sufficient higher than the other.

Keywords: integrated energy system; hydrogen storage; hydrogen production from methanol; hydrogen production from water electrolysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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