SERA Scenarios of Early Market Fuel Cell Electric Vehicle Introductions: Modeling Framework, Regional Markets, and Station Clustering: NREL (National Renewable Energy Laboratory)

Marc Melaina

SERA Scenarios of Early Market Fuel Cell Electric Vehicle Introductions: Modeling Framework, Regional Markets, and Station Clustering: NREL (National Renewable Energy Laboratory)

Marc Melaina

Center for Integrated Mobility Sciences

Research output: NREL › Presentation

Abstract

This presentation provides an overview of the Scenario Evaluation and Regionalization Analysis (SERA) model, describes the methodology for developing scenarios for hydrogen infrastructure development, outlines an example "Hydrogen Success" scenario, and discusses detailed scenario metrics for a particular case study region, the Northeast Corridor.

Original language	American English
Number of pages	25
State	Published - 2015

Publication series

Name	Presented at the 2015 International Colloquium on Environmentally Preferred Advanced Power Generation (ICEPAG), 23-24 March 2015, Irvine, California

NREL Publication Number

NREL/PR-5400-64395

Keywords

fuel cell electric vehicles (FCEVS)
hydrogen infrastructure
hydrogen systems analysis
scenario analysis
SERA

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://www.nrel.gov/docs/fy15osti/64395.pdf

Cite this

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title = "SERA Scenarios of Early Market Fuel Cell Electric Vehicle Introductions: Modeling Framework, Regional Markets, and Station Clustering: NREL (National Renewable Energy Laboratory)",

abstract = "This presentation provides an overview of the Scenario Evaluation and Regionalization Analysis (SERA) model, describes the methodology for developing scenarios for hydrogen infrastructure development, outlines an example {"}Hydrogen Success{"} scenario, and discusses detailed scenario metrics for a particular case study region, the Northeast Corridor.",

keywords = "fuel cell electric vehicles (FCEVS), hydrogen infrastructure, hydrogen systems analysis, scenario analysis, SERA",

author = "Marc Melaina",

year = "2015",

language = "American English",

series = "Presented at the 2015 International Colloquium on Environmentally Preferred Advanced Power Generation (ICEPAG), 23-24 March 2015, Irvine, California",

type = "Other",

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SERA Scenarios of Early Market Fuel Cell Electric Vehicle Introductions: Modeling Framework, Regional Markets, and Station Clustering: NREL (National Renewable Energy Laboratory). / Melaina, Marc.
25 p. 2015. (Presented at the 2015 International Colloquium on Environmentally Preferred Advanced Power Generation (ICEPAG), 23-24 March 2015, Irvine, California).

Research output: NREL › Presentation

TY - GEN

T1 - SERA Scenarios of Early Market Fuel Cell Electric Vehicle Introductions: Modeling Framework, Regional Markets, and Station Clustering

T2 - NREL (National Renewable Energy Laboratory)

AU - Melaina, Marc

PY - 2015

Y1 - 2015

N2 - This presentation provides an overview of the Scenario Evaluation and Regionalization Analysis (SERA) model, describes the methodology for developing scenarios for hydrogen infrastructure development, outlines an example "Hydrogen Success" scenario, and discusses detailed scenario metrics for a particular case study region, the Northeast Corridor.

AB - This presentation provides an overview of the Scenario Evaluation and Regionalization Analysis (SERA) model, describes the methodology for developing scenarios for hydrogen infrastructure development, outlines an example "Hydrogen Success" scenario, and discusses detailed scenario metrics for a particular case study region, the Northeast Corridor.

KW - fuel cell electric vehicles (FCEVS)

KW - hydrogen infrastructure

KW - hydrogen systems analysis

KW - scenario analysis

KW - SERA

M3 - Presentation

T3 - Presented at the 2015 International Colloquium on Environmentally Preferred Advanced Power Generation (ICEPAG), 23-24 March 2015, Irvine, California

ER -

SERA Scenarios of Early Market Fuel Cell Electric Vehicle Introductions: Modeling Framework, Regional Markets, and Station Clustering: NREL (National Renewable Energy Laboratory)

Abstract

Publication series

NREL Publication Number

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this