View in EDS

Infrastructure Analysis Tools: A Focus on Cash Flow Analysis

Saved in:
Bibliographic Details
Title: Infrastructure Analysis Tools: A Focus on Cash Flow Analysis
Authors: Melaina, M., Penev, M.
Contributors: Fuel Cell Technologies Program (U.S.)
Source: Presented at the Hydrogen Infrastructure Meeting, 5 June 2012, Toronto, Canada; Related Information: NREL (National Renewable Energy Laboratory)
Publisher Information: National Renewable Energy Laboratory (U.S.)
Publication Year: 2012
Collection: University of North Texas: UNT Digital Library
Subject Terms: 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
Description: 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.
Document Type: conference object
File Description: 19 p.; Image
Language: English
Relation: osti: 1051158; https://digital.library.unt.edu/ark:/67531/metadc840397/; ark: ark:/67531/metadc840397
Availability: https://digital.library.unt.edu/ark:/67531/metadc840397/
Accession Number: edsbas.B8F3684E
Database: BASE
Description
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.