LAPSE:2023.14108
Published Article

LAPSE:2023.14108
Optimized Configuration and Operating Plan for Hydrogen Refueling Station with On-Site Electrolytic Production
March 1, 2023
Abstract
Hydrogen refueling stations (HRSs) are critical for the popularity of hydrogen vehicles (fuel cell electric vehicles—FCEVs). However, due to high installation investment and operating costs, the proliferation of HRSs is difficult. This paper studies HRSs with on-site electrolytic production and hydrogen storage devices and proposes an optimization method to minimize the total costs including both installation investment and operating costs (OPT-ISL method). Moreover, to acquire the optimization constraints of hydrogen demand, this paper creatively develops a refueling behavior simulation method for different kinds of FCEVs and proposes a hydrogen-demand estimation model to forecast the demand with hourly intervals for HRS. The Jensen−Shannon divergence is applied to verify the accuracy of the hydrogen-demand estimation. The result: 0.029 is much smaller than that of the estimation method in reference. Based on the estimation results and peak-valley prices of electricity from the grid, a daily hydrogen generation plan is obtained, as well as the optimal capacities of electrolyzers and storage devices. As for the whole costs, compared with previous configuration methods that only consider investment costs or operating costs, the proposed OPT-ISL method has the least, 8.1 and 10.5% less, respectively. Moreover, the proposed OPT-ISL method shortens the break-even time for HRS from 11.1 years to 7.8 years, a decrease of 29.7%, so that the HRS could recover its costs in less time.
Hydrogen refueling stations (HRSs) are critical for the popularity of hydrogen vehicles (fuel cell electric vehicles—FCEVs). However, due to high installation investment and operating costs, the proliferation of HRSs is difficult. This paper studies HRSs with on-site electrolytic production and hydrogen storage devices and proposes an optimization method to minimize the total costs including both installation investment and operating costs (OPT-ISL method). Moreover, to acquire the optimization constraints of hydrogen demand, this paper creatively develops a refueling behavior simulation method for different kinds of FCEVs and proposes a hydrogen-demand estimation model to forecast the demand with hourly intervals for HRS. The Jensen−Shannon divergence is applied to verify the accuracy of the hydrogen-demand estimation. The result: 0.029 is much smaller than that of the estimation method in reference. Based on the estimation results and peak-valley prices of electricity from the grid, a daily hydrogen generation plan is obtained, as well as the optimal capacities of electrolyzers and storage devices. As for the whole costs, compared with previous configuration methods that only consider investment costs or operating costs, the proposed OPT-ISL method has the least, 8.1 and 10.5% less, respectively. Moreover, the proposed OPT-ISL method shortens the break-even time for HRS from 11.1 years to 7.8 years, a decrease of 29.7%, so that the HRS could recover its costs in less time.
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Keywords
hydrogen demand, on-site electrolytic production, optimal configuration, refueling behavior
Subject
Suggested Citation
Sun J, Peng Y, Lu D, Chen X, Xu W, Weng L, Wu J. Optimized Configuration and Operating Plan for Hydrogen Refueling Station with On-Site Electrolytic Production. (2023). LAPSE:2023.14108
Author Affiliations
Sun J: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Peng Y: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China [ORCID]
Lu D: Huadong Engineering Corporation Limited, Hangzhou 310000, China
Chen X: Huadong Engineering Corporation Limited, Hangzhou 310000, China
Xu W: State Grid Zhejiang Hangzhou Xiaoshan Power Supply Corporation, Hangzhou 311200, China
Weng L: State Grid Zhejiang Hangzhou Xiaoshan Power Supply Corporation, Hangzhou 311200, China
Wu J: State Grid Zhejiang Electric Power Research Institute, Hangzhou 310014, China
Peng Y: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China [ORCID]
Lu D: Huadong Engineering Corporation Limited, Hangzhou 310000, China
Chen X: Huadong Engineering Corporation Limited, Hangzhou 310000, China
Xu W: State Grid Zhejiang Hangzhou Xiaoshan Power Supply Corporation, Hangzhou 311200, China
Weng L: State Grid Zhejiang Hangzhou Xiaoshan Power Supply Corporation, Hangzhou 311200, China
Wu J: State Grid Zhejiang Electric Power Research Institute, Hangzhou 310014, China
Journal Name
Energies
Volume
15
Issue
7
First Page
2348
Year
2022
Publication Date
2022-03-23
ISSN
1996-1073
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Original Submission
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PII: en15072348, Publication Type: Journal Article
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LAPSE:2023.14108
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https://doi.org/10.3390/en15072348
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Mar 1, 2023
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