N
Neha Rustagi
Researcher at United States Department of Energy
Publications - 16
Citations - 778
Neha Rustagi is an academic researcher from United States Department of Energy. The author has contributed to research in topics: Renewable energy & Electricity generation. The author has an hindex of 9, co-authored 14 publications receiving 367 citations. Previous affiliations of Neha Rustagi include Office of Energy Efficiency and Renewable Energy.
Papers
More filters
Journal ArticleDOI
Hydrogen at Scale (H2@Scale): Key to a Clean, Economic, and Sustainable Energy System
TL;DR: In this article, the authors propose a vision of hydrogen at scale (H2@Scale) which is based on electrochemical processes. But achieving the scale necessary to have impact is still a challenge.
Journal ArticleDOI
Impact of hydrogen refueling configurations and market parameters on the refueling cost of hydrogen
TL;DR: In this article, the authors quantified the potential reduction in future hydrogen refueling cost compared to today's cost in the United States using the hydrogen delivery scenario analysis model (HDSAM).
Journal ArticleDOI
Comparison of well-to-wheels energy use and emissions of a hydrogen fuel cell electric vehicle relative to a conventional gasoline-powered internal combustion engine vehicle
TL;DR: In this paper, a well-to-wheels (WTW) energy use and emissions analysis was conducted to compare a HFCEV (Toyota Mirai) with a gasoline conventional internal combustion engine vehicles (Mazda 3).
Journal ArticleDOI
Impact of hydrogen SAE J2601 fueling methods on fueling time of light-duty fuel cell electric vehicles
TL;DR: In this paper, the authors compare the performance of the lookup table method and MC formula method within the SAE J2601 protocol for hydrogen fuel cell electric vehicles (HFCEVs).
Journal ArticleDOI
Techno-economic analysis of long-duration energy storage and flexible power generation technologies to support high-variable renewable energy grids
TL;DR: In this article, the authors provide a detailed evaluation and uncertainty analysis of applicable technologies and identify challenges and opportunities to support electric grid planning, and show that hydrogen systems with geologic storage and natural gas with carbon capture are the least-cost low-carbon technologies for both current and future capital costs.