Ranjit R. Desai

Dr. Ranjit R. Desai

National Renewable Energy Laboratory, Golden, Colorado, USA
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Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 January 2018 in Journal of Advanced Transportation
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Journal Article
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Ranjit R. DesaiRanjit R. Desai
Ranjit R. Desai
RCRoger Chen
Roger Chen
WAWilliam Armington
William Armington
Plug-in Electric Vehicles (PEVs) are considered one solution to reducing GHG emissions from private transport. Additionally, PEV adopters often have free access to public charging facilities. Through a pattern analysis, this study identifies five distinct clusters of daily PEV charging profiles observed at the public charging stations. Empirically observed patterns indicate a significant amount of operational inefficiency, where 54% of the total parking duration PEVs do not consume electricity, preventing other users from charging. This study identifies the opportunity cost in terms of GHG emissions savings if gasoline vehicles are replaced with potential PEV adopters. The time spent in parking without charging by current PEV users can be used by these potential PEV users to charge their PEVs and replace the use of gasoline. The results suggest that reducing inefficient station use leads to significant reductions in emissions. Overall, there is significant variability in outcomes depending on the specific cluster membership.

13 November 2019 in Environmental Science & Technology
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Journal Article
Closed access
Ranjit R. DesaiRanjit R. Desai
Ranjit R. Desai
RCRoger Chen
Roger Chen
EHEric Hittinger
Eric Hittinger
EWEric Williams
Eric Williams

28 June 2022 in Energies
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Journal Article
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Ranjit R. DesaiRanjit R. Desai
Ranjit R. Desai
EHEric Hittinger
Eric Hittinger
EWEric Williams
Eric Williams
Electric Technology Vehicles (ETVs: hybrid, electric, and plug-in hybrid) may reach price parity with incumbent internal combustion vehicles (ICEVs) in the near future. Climate policy for transportation will depend on the degree to which consumers prefer ETVs, and price parity is a key factor. In this study, we explore the interaction between future cost reductions and the economically motivated adoption of ETVs. We construct a model of the U.S. personal vehicle market accounting for heterogenous use and vehicle preferences, in which adoption induces cost reductions that increase future market share. Model results indicate that price parity is reached for most consumers in a number of cost scenarios, but not with constant ICEV costs and modest ETV cost declines. A price parity future suggests that government support could be temporary and phased out after a successful market transition. However, if ETVs continue to be more expensive than ICEVs, then lasting government support is needed. Heterogeneity is essential to understanding the market transition: treating consumers as heterogeneous results in an ETV market share 23% higher than assuming average consumers. Future work can clarify ETV support policy by resolving uncertainty in cost trajectories and modeling dynamic and heterogenous consumer markets.

1 January 2011 in International Journal of Modeling and Optimization
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Journal Article
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ASAbhishek B. Sahasrabudhe
Abhishek B. Sahasrabudhe
Ranjit R. DesaiRanjit R. Desai
Ranjit R. Desai
SJSiddharth K. Jabade
Siddharth K. Jabade

24 October 2011 in Applied Mechanics and Materials
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Journal Article
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ASAbhishek B. Sahasrabudhe
Abhishek B. Sahasrabudhe
Ranjit R. DesaiRanjit R. Desai
Ranjit R. Desai
SJSiddharth K. Jabade
Siddharth K. Jabade
Freeze concentration is a process in which water is selectively separated out of binary solution in the form of ice, thereby concentrating solution. The freeze concentration system under consideration is a heat pump based freeze concentration system (FCS) that uses layer freezing process. The application of this system for the present paper is in the process of jaggery making used to concentrate sugarcane juice. A mathematical model is developed that helps in simulation of system under various operating parameters. The model is validated using previously published experimental results. Finally, based on simulation effects of various system parameters on ice growth and subsequent juice concentration have been discussed.

1 December 2024
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Report
Closed access
CHCabell Hodge
Cabell Hodge
BRBhavesh Rathod
Bhavesh Rathod
MSMatt Shmigelsky
Matt Shmigelsky
MSMark Singer
Mark Singer
EEEliseo Esparza
Eliseo Esparza
JBJoseph Bougard
Joseph Bougard