Capacity Expansion Planning of Hydrogen-Enabled Industrial Energy Systems for Carbon Dioxide Peaking

Kai Zhang, Xiangxiang Dong (), Chaofeng Li, Yanling Zhao and Kun Liu
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Kai Zhang: Guoneng Xinjiang Ganquanbao Comprehensive Energy Co., Ltd., Urumqi 830019, China
Xiangxiang Dong: School of Automation and Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Chaofeng Li: Guoneng Zhishen Control Technology Co., Ltd., Beijing 102200, China
Yanling Zhao: School of Automation and Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Kun Liu: School of Automation and Engineering, Xi’an Jiaotong University, Xi’an 710049, China

Energies, 2024, vol. 17, issue 14, 1-10

Abstract: As the main contributor of carbon emissions, the low-carbon transition of the industrial sector is important for achieving the goal of carbon dioxide peaking. Hydrogen-enabled industrial energy systems (HIESs) are a promising way to achieve the low-carbon transition of industrial energy systems, since the hydrogen can be well coordinated with renewable energy sources and satisfy the high and continuous industrial energy demand. In this paper, the long-term capacity expansion planning problem of the HIES is formulated from the perspective of industrial parks, and the targets of carbon dioxide peaking and the gradual decommissioning of existing equipment are considered as constraints. The results show that the targets of carbon dioxide peaking before different years or with different emission reduction targets can be achieved through the developed method, while the economic performance is ensured to some extent. Meanwhile, the overall cost of the strategy based on purchasing emission allowance is three times more than the cost of the strategy obtained by the developed method, while the emissions of the two strategies are same. In addition, long-term carbon reduction policies and optimistic expectations for new energy technologies will help industrial parks build more new energy equipment for clean transformation.

Keywords: capacity expansion planning; carbon dioxide peaking; low-carbon transition; hydrogen-enabled industrial energy system; mixed-integer linear programming (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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