Track 2: Infrastructure Modeling
Director of Track 2 Infrastructure Modeling: Christopher Yang
Project 1: Station Costs and Energy Station Analysis
This project fosuc both on estimating the cost of a hydrogen station, including all equipment costs. Also it looks into the concept of an energy station, that produces both electricity and hydrogen and may enable small scale hydrogen production in the initial stage.
Research Faculty: Timothy E. Lipman, Joan Ogden
Graduate Student Researcher: Jonathan Weinert
More information about the project.
Project 2: Hydrogen Cost Uncertainty Model
Hydrogen production is still at a very small scale and there are uncertainties around how much it will cost to produce the hydrogen.
Research Faculty: Marc W. Melaina
More information about the project.
Project 3: Hydrogen Station Siting Analysis
The research on station siting and sizing uses GIS to optimize the infrastructure of stations built, both with respect to where the customers are and also with cost of delivery taken into account.
Research Faculty: Joan Ogden, Christopher Yang
Graduate Student Researcher: Michael Nicholas
More information about the project.
Project 4: H2 Delivery Analysis in Cities
Idealized City Models (ICM) are used to describe hydrogen delivery systems in relatively dense (i.e. urban/metropolitan) areas in terms of a few easily specified parameters and have been used to develop hydrogen delivery costs for many US cities. The goal of this analysis is to understand how and when the model can be applied properly.
Research Faculty: Joan Ogden, Christopher Yang
Graduate Student Researcher: Michael Nicholas
More information about the project.
Project 5: Refueling Station Size Analysis
The Station Size Analysis is a project that looks into refueling station distribution in the existing gasoline infrastructure and translates the results into hydrogen station needs.
Research Faculty: Marc W. Melaina
Graduate Student Researcher: Joel Bremson
More information about the project.
Project 6: Steady-State Hydrogen Models
A model to estimate design, emission and cost for different hydrogen infrastructure pathways to meet demand in individual cities.
Research Faculty: Christopher Yang
Graduate Student Researchers: Jason Ni, Joel Bremson
More information about the project.
Project 7: Assessment of Hydrogen and Fuel Reliability
A project to verify if different hydrogen pathways will improve the reliability of energy supply.
Research Faculty: Joan Ogden, Daniel Sperling
Graduate Student Researcher: Ryan W. McCarthy
More information about the project.
Project 8: Hydrogen and Electricity Infrastructure Interactions
The integration between the electricity and transportation fuel sectors appear to be one of the crucial issues for the future of a hydrogen economy, this topic has not been studied extensively. This project focuses on the impacts on energy supply, fuel and electricity prices.
Research Faculty: Christopher Yang, Joan Ogden
Graduate Student Researcher: Ryan W. McCarthy
More information about the project.
Project 9: Regional Coal-Based H2 Infrastructure
This research is examining possible infrastructure pathways and strategies for future hydrogen and electricity production in Ohio.
Research Faculty: Christopher Yang, Joan Ogden
Graduate Student Researcher: Nils Johnson
More information about the project.
Project 10: Hydrogen Production From Waste Biomass in California
This study is an economic optimization of a waste biomass-to-hydrogen industry in California.
Research Faculty: Joan Ogden
Graduate Student Researcher: Nathan Parker
More information about the project.
Project 11: Early Southern California Study
This study will focus on the hydrogen infrastructure necessary to support an initial rollout of commercial fuel cell, light duty vehicles in the Los Angeles, CA region over a 5-7 year period.
Research Faculty: Marc W. Melaina, Marshall Miller
Graduate Student Researcher: Michael Nicholas, Jonathan Weinert
More information about the project.
Project 12: Hydrogen Infrastructure Transitions (HIT)
Hydrogen Infrastructure Transition (HIT) model is a dynamic programming model, which generates the spatial and temporal infrastructure buildup decisions that minimize the net present value of capital and operating costs, carbon externalities, and refueling travel time disbenefits over time.
Research Faculty: Yueyue Fan, Joan Ogden, Daniel Sperling
Graduate Student Researchers: David Zhenhong Lin, Steven Chien-Wei Chen
More information about the project.
Project 13: Future Impacts of Coal Distribution Constraints in a Coal-to-Hydrogen Economy
We analyze the impact that future increase in U.S. coal demand will have on the domestic railroad network. The study will provide insight into when coal distribution will become constrained under business-as-usual conditions and whether converting to IGCC plants can postpone the constraints and, thus, postpone infrastructure investments. The study will also identify the additional coal demand that might result from hydrogen production for transportation fuels under two hydrogen vehicle market penetration levels (high and low).
Research Faculty: Joan Ogden
Graduate Student Researcher: David L. McCollum
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