Mapping hydrogen demand for heavy-duty vehicles: a spatial disaggregation approach
Abstract Hydrogen is the key to decarbonising heavy-duty transport. Understanding the distribution of hydrogen demand is crucial for effective planning and development of infrastructure. However, current data on future hydrogen demand is often coarse and aggregated, limiting its utility for detailed...
Saved in:
| Main Authors: | Warsini Handayani, Xuan Zhu, Fang Lee Cooke |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-07-01
|
| Series: | Energy Informatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s42162-025-00550-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Heavy-Duty Vehicles charging infrastructure energy demand and factors affecting their placement in Finland
by: Saleem Rashid, et al.
Published: (2025-04-01) -
DROVE: An Algorithm for Spatial and Temporal Disaggregation of On-road Vehicle Emission Inventories
by: Carlos M. González, et al.
Published: (2020-08-01) -
Calibration of HDM-4 Model for Fuel Consumption in Heavy-Duty Trucks: Integration of Telematics, Engine Speed, and Aerodynamics
by: Pradhana Wahyu Nariendra, et al.
Published: (2025-04-01) -
Day-Ahead Real-Time Optimal Scheduling Approach for Customer Directrix Load-Based Demand Response of Heavy-Duty Truck Battery Swapping Stations
by: LIU Zhanpeng, FAN Shuai, CAI Siye, SUN Ying, HUANG Renke, HE Guangyu
Published: (2025-06-01) -
Development and Prospects of Biomass-Based Fuels for Heavy-Duty Truck Applications: A Case Study in Oregon
by: Asiful Alam, et al.
Published: (2025-05-01)