E-Bus Economics : Fuzzy Math?

E-Bus Economics : Fuzzy Math?

Electrifying the global urban vehicle fleet depends on the convergence of several economic, technological, and political factors. However, the big shift to electric vehicles will likely take place only when the economics of owning and operating ele...

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Bibliographic Details
Main Author: Graham, John
Format: Brief
Language:English
Published: International Finance Corporation, Washington, DC 2020
Subjects:
ELECTRIC BUS
TRANSPORT INFRASTRUCTURE
INFRASTRUCTURE FINANCE
TRANSPORT POLICY
URBAN TRANSPORT
GREENHOUSE GAS EMISSIONS
ENERGY FINANCE
Online Access:http://documents.worldbank.org/curated/en/673971587364191791/E-Bus-Economics-Fuzzy-Math
http://hdl.handle.net/10986/33641
id okr-10986-33641
recordtype oai_dc
spelling okr-10986-336412021-05-25T10:54:43Z E-Bus Economics : Fuzzy Math? Graham, John ELECTRIC BUS TRANSPORT INFRASTRUCTURE INFRASTRUCTURE FINANCE TRANSPORT POLICY URBAN TRANSPORT GREENHOUSE GAS EMISSIONS ENERGY FINANCE Electrifying the global urban vehicle fleet depends on the convergence of several economic, technological, and political factors. However, the big shift to electric vehicles will likely take place only when the economics of owning and operating electric becomes a no-brainer. Using the example of electric buses, two factors must fall into place before the electric option can take off: first, the upfront cost needs to come down and second, there needs to be a change in procurement culture towards lifecycle cost or total cost of ownership (TCO). If utilities can structure out fluctuations in power costs (through PPAs) and the marketplace moves to leasing and other fixed-price operations and maintenance arrangements, these calculations can standardize across the board quickly. This is when the math starts to get a lot less fuzzy. 2020-04-23T19:49:05Z 2020-04-23T19:49:05Z 2020-01 Brief http://documents.worldbank.org/curated/en/673971587364191791/E-Bus-Economics-Fuzzy-Math http://hdl.handle.net/10986/33641 English IFC Transport Insights; CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo International Finance Corporation International Finance Corporation, Washington, DC Publications & Research Publications & Research :: Brief
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
topic ELECTRIC BUS
TRANSPORT INFRASTRUCTURE
INFRASTRUCTURE FINANCE
TRANSPORT POLICY
URBAN TRANSPORT
GREENHOUSE GAS EMISSIONS
ENERGY FINANCE
spellingShingle ELECTRIC BUS
TRANSPORT INFRASTRUCTURE
INFRASTRUCTURE FINANCE
TRANSPORT POLICY
URBAN TRANSPORT
GREENHOUSE GAS EMISSIONS
ENERGY FINANCE
Graham, John
E-Bus Economics : Fuzzy Math?
relation IFC Transport Insights;
description Electrifying the global urban vehicle fleet depends on the convergence of several economic, technological, and political factors. However, the big shift to electric vehicles will likely take place only when the economics of owning and operating electric becomes a no-brainer. Using the example of electric buses, two factors must fall into place before the electric option can take off: first, the upfront cost needs to come down and second, there needs to be a change in procurement culture towards lifecycle cost or total cost of ownership (TCO). If utilities can structure out fluctuations in power costs (through PPAs) and the marketplace moves to leasing and other fixed-price operations and maintenance arrangements, these calculations can standardize across the board quickly. This is when the math starts to get a lot less fuzzy.
format Brief
author Graham, John
author_facet Graham, John
author_sort Graham, John
title E-Bus Economics : Fuzzy Math?
title_short E-Bus Economics : Fuzzy Math?
title_full E-Bus Economics : Fuzzy Math?
title_fullStr E-Bus Economics : Fuzzy Math?
title_full_unstemmed E-Bus Economics : Fuzzy Math?
title_sort e-bus economics : fuzzy math?
publisher International Finance Corporation, Washington, DC
publishDate 2020
url http://documents.worldbank.org/curated/en/673971587364191791/E-Bus-Economics-Fuzzy-Math
http://hdl.handle.net/10986/33641
_version_ 1764479202157920256

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