A Flexible System-level Hydrogen Transportation System Operating Structure Interacting with Urban Transportation System
Bibliographic record
Abstract
Electrification of hard-to-abate sectors through green hydrogen is a promising strategy for achieving the Paris Agreement's decarbonization targets. However, hydrogen transportation problem remains a pressing concern in a system-level operation of hydrogen energy system (HES) in an integrated electric power and hydrogen system (IPHS). This paper presents a system-level operation structure for hydrogen transportation system (HTS). Proposed structure is intended to facilitate the coordination between HTS and the remaining parts of an IPHS by using a decomposed operation structure, which allows for different timescales to be set for each party. In the proposed structure, hydrogen tube trailers (HTs) are used to deliver hydrogen across the urban transportation system (UTS) using an extended version of a vehicle routing problem (VRP) coupled with a new set of constraints for incorporating the traffic density of roads and their availability. Furthermore, certain constraints have been considered to align with the priority of supplying sensitive loads. As part of the proposed HTS operating structure, a trade-off between system reliability and cost-affordability is also managed by assigning the adjustable weights to each parties' representative in HTS operating objective. The proposed structure is intended to minimize the operating costs of HTS in an interaction with IPHS as well as minimize the delay costs as a penalty in the event of hydrogen load loss. The proposed HTS operating structure is formulated in the form of a mixed integer linear problem and is then solved by Gurobi solver using YALMIP toolbox in MATLAB.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".