Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)

Optimization study of hydrogen production system based on peak-valley tariff

Authors
Yanhong Fan1, Chunyan Zhang2, Liang Xia1, Zhenlan Dou2, *
1State Grid Shanghai Municiple Electric Power Company of Fengxian, Shanghai, China
2State Grid Shanghai Municipal Electric Power Company, Shanghai, China
*Corresponding author. Email: douzhl@126.com
Corresponding Author
Zhenlan Dou
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-262-0_29How to use a DOI?
Keywords
Peak valley electricity price; Hydrogen production by Electrolysed water; Hydrogen production system; optimization
Abstract

This paper discusses a study on the optimization of hydrogen production systems based on peak and off-peak electricity prices and evaluates their potential and benefits in practical applications. By optimizing the operation and energy utilization efficiency of hydrogen production systems, taking full advantage of electricity price differences can reduce energy costs, improve economics, and promote the development of clean energy hydrogen production technologies. However, practical applications still face technical, economic, and market challenges that require further research and practical implementation to address. With technological breakthroughs and policy support, the optimization of hydrogen production systems based on peak-to-off-peak tariffs is expected to play a crucial role in the clean energy transition and sustainable development. Overall, the optimization of hydrogen production systems based on peak-to-off-peak tariffs has the potential to reduce the cost of hydrogen production, improve economics and sustainability. This approach can fully leverage inexpensive electricity during off-peak hours, enhance the operational efficiency of hydrogen production systems, and reduce reliance on conventional energy sources. However, practical applications must consider technical, economic, and market constraints. Through further research and practical implementation, these challenges can be overcome to achieve the feasibility and sustainability of optimizing hydrogen production systems based on peak-to-off-peak electricity prices. This will promote the application and sustainability of clean energy, making a significant contribution to the energy transition.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
Series
Atlantis Highlights in Engineering
Publication Date
9 October 2023
ISBN
978-94-6463-262-0
ISSN
2589-4943
DOI
10.2991/978-94-6463-262-0_29How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Yanhong Fan
AU  - Chunyan Zhang
AU  - Liang Xia
AU  - Zhenlan Dou
PY  - 2023
DA  - 2023/10/09
TI  - Optimization study of hydrogen production system based on peak-valley tariff
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 249
EP  - 258
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_29
DO  - 10.2991/978-94-6463-262-0_29
ID  - Fan2023
ER  -