A Bi-Level Optimization Model for Hydrogen Station Location Considering Hydrogen Cost and Range Anxiety DOI Open Access
Lisha Jiang, Liang Wang

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 3210 - 3210

Published: April 4, 2025

In pursuit of sustainable development, worldwide adoption hydrogen fuel cell vehicles (HFCVs) is growing to cut carbon emissions in the transportation sector. The construction refueling stations (HRSs) key popularizing HFCVs. popularity HRSs hindered by cost, site selection, and user expectations. Selecting mature gas with large passenger flow expand can improve accuracy network. Reducing range anxiety HFCV users path coverage HFCVs a favorable way vehicle industry chain. Therefore, this study proposes bi-level programming model, which considers source (HS), delivery mode (HDM), initial remaining range, anxiety, other factors. upper-level model designed optimize economic costs, including total chain cost HRS. lower level aims more accurately reflect their autonomy controlling maximum vehicle. Finally, expressway Liaoning Province China taken as an example verify that optimization had advantages low minimal anxiety. analysis several HSs HDMs was discussed from perspective best selected, it found Anshan HS using coal produce long tube trailer provide for This method generalizable regions or all types

Language: Английский

A novel site selection approach for Co-location of petrol-hydrogen fueling stations using a game theory-based multi-criteria decision-making model DOI Creative Commons

Xiangsheng Lu,

Siyuan Ren,

Yuxin Cui

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 106, P. 1443 - 1461

Published: Feb. 11, 2025

Language: Английский

Citations

0

A Bi-Level Optimization Model for Hydrogen Station Location Considering Hydrogen Cost and Range Anxiety DOI Open Access
Lisha Jiang, Liang Wang

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 3210 - 3210

Published: April 4, 2025

In pursuit of sustainable development, worldwide adoption hydrogen fuel cell vehicles (HFCVs) is growing to cut carbon emissions in the transportation sector. The construction refueling stations (HRSs) key popularizing HFCVs. popularity HRSs hindered by cost, site selection, and user expectations. Selecting mature gas with large passenger flow expand can improve accuracy network. Reducing range anxiety HFCV users path coverage HFCVs a favorable way vehicle industry chain. Therefore, this study proposes bi-level programming model, which considers source (HS), delivery mode (HDM), initial remaining range, anxiety, other factors. upper-level model designed optimize economic costs, including total chain cost HRS. lower level aims more accurately reflect their autonomy controlling maximum vehicle. Finally, expressway Liaoning Province China taken as an example verify that optimization had advantages low minimal anxiety. analysis several HSs HDMs was discussed from perspective best selected, it found Anshan HS using coal produce long tube trailer provide for This method generalizable regions or all types

Language: Английский

Citations

0