Reducing the informational and financial risks associated with infrastructure investment decisions is vital to accelerate the adoption of hydrogen as a transportation fuel. This can be accomplished by helping stakeholders forecast hydrogen demand and minimize the cost of building infrastructure.
The U.S. Department of Energy's National Renewable Energy Laboratory Scenario Evaluation and Regionalization Analysis (SERA) model helps answer the question, “What is the least-cost hydrogen infrastructure deployment strategy over time to support demand?”
The SERA model optimizes hydrogen infrastructure buildout necessary to meet the growing needs of an emerging, dynamic market at a geographic and temporal level. SERA is a flexible optimization tool that allows the user to define demand, available supply locations, technologies and distribution pathways, input prices, and cost and performance parameters, which the model uses to optimize infrastructure buildout, most commonly by minimizing costs. This model is part of a comprehensive portfolio of strategic analysis activities to assess the needs, scenarios, and challenges associated with the rollout of hydrogen applications.
SERA has been used to design hydrogen supply chain infrastructure in support of both transportation and non-transportation applications, such as quantifying the cost of adoption of alternative vehicles and quantifying the number and type of hydrogen production technologies needed to support the growing hydrogen market. As such, the model can be configured to address custom scenarios and assess investment and market growth dynamics on regional and national scales over time.
One such example is the model’s role in a project to plan the implementation of hydrogen systems in California. The University of California, Davis leveraged SERA to model potential electrolytic hydrogen systems through 2050 across supply and demand sectors and achieved significant spatial detail that provided stakeholders with strategic insights.
“We recently made several upgrades to SERA, including translating the tool into the Julia programming language which has drastically increased the model’s computational efficiency, whether run on a desktop or on NREL’s high-performance computer. We’ve also added numerous capabilities to better assess a broad and diverse range of infrastructure expansion planning scenarios," said Mark Chung, group manager for Infrastructure and Energy Storage Analysis at NREL.
“SERA can be used for any fuel or commodity, including carbon dioxide—not just hydrogen," Chung said. "For example, it can model the most cost-efficient pathways to capture and store carbon. SERA’s flexible framework to accommodate any commodity or mixture of commodities is truly unique in this sense.”
Funding for SERA’s development was provided by the U.S. Department of Energy’s Hydrogen and Fuel Cell Technologies Office.
Courtesy of NREL
