Power-to-hydrogen-and-methanol model based on collaborative optimization of energy flow and material flow[J]. 全球能源互联网(英文), 2025,8(3).
Zehong Liu, Jinxuan Zhang, Zedong Zhang, et al. Power-to-hydrogen-and-methanol model based on collaborative optimization of energy flow and material flow[J]. Global energy interconnection, 2025, 8(3).
Power-to-hydrogen-and-methanol model based on collaborative optimization of energy flow and material flow[J]. 全球能源互联网(英文), 2025,8(3). DOI: 10.1016/j.gloei.2025.05.001.
Zehong Liu, Jinxuan Zhang, Zedong Zhang, et al. Power-to-hydrogen-and-methanol model based on collaborative optimization of energy flow and material flow[J]. Global energy interconnection, 2025, 8(3). DOI: 10.1016/j.gloei.2025.05.001.
Power-to-hydrogen-and-methanol model based on collaborative optimization of energy flow and material flow
China has abundant renewable energy resources.With the establishment of carbon peaking and carbon neutrality goals
renewable energy sources such as wind power and photovoltaics have undergone tremendous development.However
because of the randomness and volatility of wind and photovoltaic power
the large-scale development of renewable energy faces challenges with accommodation and transmission.At present
the bundling of wind-photovoltaic-thermal power with ultra-high voltage transmission projects is the main development approach for renewable energy bases in western and northern China.Nonetheless
solving the problems of high carbon dioxide emission
carbon dioxide capture
and the utilization of thermal power is still necessary.Based on power-to-hydrogen
powerto-methanol
and oxygen-enriched combustion power generation technologies
this article proposes a power-to-hydrogen-andmethanol model based on the collaborative optimization of energy flow and material flow
which is expected to simultaneously solve the problems of renewable energy accommodation and low-carbon transformation of thermal power.Models with different ways of linking power to hydrogen and methanol are established
and an 8760-hour-time-series operation simulation is incorporated into the planning model.A case study is then conducted on renewable energy bases in the deserts of western and northern China.The results show that the power-to-hydrogen-and-methanol model based on the collaborative optimization of energy flow and material flow can greatly reduce the demand for hydrogen storage and energy storage
reduce the cost of carbon capture
make full use of by-product oxygen and captured carbon dioxide