LAPSE:2024.1825
Published Article

LAPSE:2024.1825
Global Optimization and Quantitative Assessment of Large-Scale Renewables-Based Hydrogen System Considering Various Transportation Modes and Multi-Field Hydrogen Loads
August 23, 2024
Abstract
In the past, hydrogen was mostly produced from fossil fuels, causing a certain degree of energy and environmental problems. With the development of low-carbon energy systems, renewable energy hydrogen production technology has developed rapidly and become one of the focuses of research in recent years. However, the existing work is still limited by small-scale hydrogen production systems, and there is a lack of comprehensive research on the whole production-storage-transportation-utilization hydrogen system (PSTUH2S), especially on the modeling of different hydrogen transportation modes and various hydrogen loads in different fields. To make up for these deficiencies, the specific physical and mathematical models of the PSTUH2S are firstly described in this paper, with a full account of large-scale water-electrolytic hydrogen production from renewable power curtailment and grid power, various hydrogen storage and transportation modes, and multi-field hydrogen consumption paths. Furthermore, to achieve the maximum economic, energy, and environmental benefits from the PSTUH2S, a multi-objective nonlinear optimization model is also presented herein and then solved by the hybrid method combining the nonlinear processing method, the CPLEX solver and the piecewise time series production simulation method. Lastly, case studies are conducted against the background of a region in northwest China, where hydrogen consumption capacity in various years is accurately assessed and the potential advantages of the PSTUH2S are demonstrated. As the simulation results show, the power curtailment of renewable energy generation can be reduced by 3.61/11.87/14.72 billion kW·h in 2025/2030/2035, respectively, thus contributing to a 4.98%~10.09% increase in the renewable energy consumption rate and millions of tons of carbon emission reduction in these years. In terms of the total equivalent economic benefits, the proposed method is able to bring about a cost saving of USD 190.44 million, USD 634.66 million, and USD 865.87 million for 2025, 2030, and 2035, respectively.
In the past, hydrogen was mostly produced from fossil fuels, causing a certain degree of energy and environmental problems. With the development of low-carbon energy systems, renewable energy hydrogen production technology has developed rapidly and become one of the focuses of research in recent years. However, the existing work is still limited by small-scale hydrogen production systems, and there is a lack of comprehensive research on the whole production-storage-transportation-utilization hydrogen system (PSTUH2S), especially on the modeling of different hydrogen transportation modes and various hydrogen loads in different fields. To make up for these deficiencies, the specific physical and mathematical models of the PSTUH2S are firstly described in this paper, with a full account of large-scale water-electrolytic hydrogen production from renewable power curtailment and grid power, various hydrogen storage and transportation modes, and multi-field hydrogen consumption paths. Furthermore, to achieve the maximum economic, energy, and environmental benefits from the PSTUH2S, a multi-objective nonlinear optimization model is also presented herein and then solved by the hybrid method combining the nonlinear processing method, the CPLEX solver and the piecewise time series production simulation method. Lastly, case studies are conducted against the background of a region in northwest China, where hydrogen consumption capacity in various years is accurately assessed and the potential advantages of the PSTUH2S are demonstrated. As the simulation results show, the power curtailment of renewable energy generation can be reduced by 3.61/11.87/14.72 billion kW·h in 2025/2030/2035, respectively, thus contributing to a 4.98%~10.09% increase in the renewable energy consumption rate and millions of tons of carbon emission reduction in these years. In terms of the total equivalent economic benefits, the proposed method is able to bring about a cost saving of USD 190.44 million, USD 634.66 million, and USD 865.87 million for 2025, 2030, and 2035, respectively.
Record ID
Keywords
benefit evaluation, hydrogen consumption capacity, modeling and optimization, production-storage-transportation-utilization hydrogen system, Renewable and Sustainable Energy
Subject
Suggested Citation
Hong L, Liu D, Shi L, Tan Y, Xiang Y, Zhang Q, Li T. Global Optimization and Quantitative Assessment of Large-Scale Renewables-Based Hydrogen System Considering Various Transportation Modes and Multi-Field Hydrogen Loads. (2024). LAPSE:2024.1825
Author Affiliations
Hong L: State Grid Gansu Electric Power Company Jiuquan Power Supply Company, Jiuquan 735000, China
Liu D: State Grid Gansu Electric Power Company Jiuquan Power Supply Company, Jiuquan 735000, China
Shi L: State Grid Gansu Electric Power Company Jiuquan Power Supply Company, Jiuquan 735000, China
Tan Y: Department of Electrical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China [ORCID]
Xiang Y: State Grid Gansu Electric Power Company Jiuquan Power Supply Company, Jiuquan 735000, China
Zhang Q: Department of Electrical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
Li T: Department of Electrical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
Liu D: State Grid Gansu Electric Power Company Jiuquan Power Supply Company, Jiuquan 735000, China
Shi L: State Grid Gansu Electric Power Company Jiuquan Power Supply Company, Jiuquan 735000, China
Tan Y: Department of Electrical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China [ORCID]
Xiang Y: State Grid Gansu Electric Power Company Jiuquan Power Supply Company, Jiuquan 735000, China
Zhang Q: Department of Electrical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
Li T: Department of Electrical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
Journal Name
Processes
Volume
12
Issue
7
First Page
1470
Year
2024
Publication Date
2024-07-13
ISSN
2227-9717
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Original Submission
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PII: pr12071470, Publication Type: Journal Article
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LAPSE:2024.1825
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https://doi.org/10.3390/pr12071470
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Aug 23, 2024
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