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Home » Publication » Energy & green tech publications

Energy & green tech publications

Chemistry, materials, & energy publications November 1, 2015

SRI Research Presented at the National Energy Technology Laboratory (NETL) 2015 Carbon Capture Technology Meeting

Indira Jayaweera

Three SRI researchers presented information at the National Energy Technology Laboratory (NETL) 2015 Carbon Capture Technology Meeting.

Energy & green tech publications January 1, 2015

Evidence for Generation of Unstable Suprathermal Electron Population in the Auroral F Region

SRI International

In this work we used a one-dimensional Zakharov simulation to constrain the range of physical mechanisms underlying these observational features.

Energy & green tech publications August 1, 2014 Article

A Top to Bottom Evaluation of IRI 2007 within the Polar Cap

SRI International

Monthly median values of ionospheric peak height (hmF2) and density (NmF2), derived from ionosonde measurements at four Canadian High Arctic Ionospheric Network (CHAIN) stations situated within the polar cap and Auroral Oval, are used to evaluate the performance of the International Reference Ionosphere (IRI) 2007 empirical ionospheric model during the recent solar minimum between 2008 and 2010. This analysis demonstrates notable differences between IRI and ionosonde NmF2 diurnal and seasonal behavior over the entire period studied, where good agreement is found during summer periods but otherwise errors in excess of 50% were prevalent, particularly during equinox periods. hmF2 is found to be marginally overestimated during winter and equinox nighttime, while also being underestimated during summer and equinox daytime by in excess of 25%. These errors are shown to be related to significant mismodeling of the M(3000)F2 propagation factor. The ionospheric bottomside thickness parameter (B0) is also evaluated using ionosonde measurements. It is found that both of the IRI’s internal B0 models significantly misrepresent both seasonal and diurnal variations in bottomside thickness when compared to ionosonde observations, where errors at times exceed 40%. A comparison is also presented between IRI and Resolute (74.75N, 265.00E) Advanced Modular Incoherent Scatter Radar (AMISR)-derived topside thickness. It is found in this comparison that the IRI is capable of modeling ionospheric topside thickness exceptionally well during winter and summer periods but fails to represent significant diurnal variability during the equinoxes and seasonal variations.

Energy & green tech publications May 1, 2013 Article

Characteristics of an Advanced Carbon Sorbent for CO2 Capture

SRI International, Indira Jayaweera

The adsorption and desorption characteristics on an advanced carbon sorbent for gases present in the flue gas stream, including CO2, N2, O2, Ar, H2O vapor, and impurities NO and SO2 are discussed.

Energy & green tech publications April 1, 2013 Conference Paper

Race for Developing Promising CO2 Capture Technologies Ready for 2020 Deployment: Novel Mixed-Salt Based Solvent Technology for Post Combustion Application

Indira Jayaweera

Chemistry, materials, & energy publications November 1, 2012

Experimental Investigation of Hydrogen Release and Ignition from Fuel Cell Powered Forklifts in Enclosed Spaces

SRI International

Conducted experiments were devised to assess the utility of modeling approaches used to analyze potential consequences from ignited hydrogen leaks in facilities certified according to existing code language.

Chemistry, materials, & energy publications November 1, 2012

Self-ignition of Hydrogen Releases through Electrostatic Discharge Induced by Entrained Particulates

SRI International

The potential for particulates entrained in hydrogen releases to generate electrostatic charge and induce electrostatic discharge ignitions was investigated.

Chemistry, materials, & energy publications January 1, 2012

Releases from Hydrogen Fuel-Cell Vehicles in Tunnels

SRI International

To investigate potential consequences, a combined experimental and modeling study has been performed to characterize releases from a hydrogen fuel-cell vehicle inside a tunnel.

Energy & green tech publications January 1, 2012

Applying Learning Curves to Modeling Future Coal and Gas Power Generation Technologies

SRI International

To forecast each of these competing technologies under various scenarios of electricity demand, fuel cost, and research investment, we created a Power Technology Futures Model (PTFM) based on “learning curves” methodology.

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