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Infrastructure Analysis Tools: A Focus on Cash Flow Analysis

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Titel: Infrastructure Analysis Tools: A Focus on Cash Flow Analysis
Autoren: Melaina, M., Penev, M.
Weitere Verfasser: Fuel Cell Technologies Program (U.S.)
Quelle: Presented at the Hydrogen Infrastructure Meeting, 5 June 2012, Toronto, Canada; Related Information: NREL (National Renewable Energy Laboratory)
Verlagsinformationen: National Renewable Energy Laboratory (U.S.)
Publikationsjahr: 2012
Bestand: University of North Texas: UNT Digital Library
Schlagwörter: Financing, Infrastructure, Feedback, Business, Simulation Infrastructure, Hydrogen Technologies And Systems, 08 Hydrogen, 32 Energy Conservation, Consumption, And Utilization, Sera, Cash Flow Analysis, H2A, Hydrogen, Metrics
Beschreibung: NREL has developed and maintains a variety of infrastructure analysis models for the U.S. Department of Energy. Business case analysis has recently been added to this tool set. This presentation focuses on cash flow analysis. Cash flows depend upon infrastructure costs, optimized spatially and temporally, and assumptions about financing and revenue. NREL has incorporated detailed metrics on financing and incentives into the models. Next steps in modeling include continuing to collect feedback on regional/local infrastructure development activities and 'roadmap' dynamics, and incorporating consumer preference assumptions on infrastructure to provide direct feedback between vehicles and station rollout.
Publikationsart: conference object
Dateibeschreibung: 19 p.; Image
Sprache: English
Relation: osti: 1051158; https://digital.library.unt.edu/ark:/67531/metadc840397/; ark: ark:/67531/metadc840397
Verfügbarkeit: https://digital.library.unt.edu/ark:/67531/metadc840397/
Dokumentencode: edsbas.B8F3684E
Datenbank: BASE
Beschreibung
Abstract:NREL has developed and maintains a variety of infrastructure analysis models for the U.S. Department of Energy. Business case analysis has recently been added to this tool set. This presentation focuses on cash flow analysis. Cash flows depend upon infrastructure costs, optimized spatially and temporally, and assumptions about financing and revenue. NREL has incorporated detailed metrics on financing and incentives into the models. Next steps in modeling include continuing to collect feedback on regional/local infrastructure development activities and 'roadmap' dynamics, and incorporating consumer preference assumptions on infrastructure to provide direct feedback between vehicles and station rollout.