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1819. Will hydrogen remain green? Supply chain optimization for green hydrogen transportation considering production uncertainty
Invited abstract in session TC-22: Stochastic models in energy systems planning and operations, stream Energy Management.
Tuesday, 12:30-14:00Room: 81 (building: 116)
Authors (first author is the speaker)
| 1. | Yifu Ding
|
| MIT Energy Initiative, MIT | |
| 2. | Thomas Magnanti
|
| Provosts Office, MIT |
Abstract
Produced from renewables, green hydrogen can be used as a clean fuel in the transportation and power generation sectors. According to the International Energy Agency, the annual production of low-emission hydrogen could reach 38 million tons in 2030. However, hydrogen transportation across a large system produces significant costs and emissions, undermining its decarbonization purpose. This talk will present a supply chain optimization model that addresses variability and uncertainty in green hydrogen and ammonia production. Specifically, the optimization model will consider the production and storage of green hydrogen and ammonia and their transportation to different destinations via tube trucks, trucks, rail, or ships. The uncertainty-aware formulation will model the variability and uncertainty of renewables during hydrogen and ammonia production.
Keywords
- OR in Energy
- Supply Chain Management
- Stochastic Optimization
Status: accepted
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