2016
DOI: 10.1596/978-1-4648-0741-1
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The Bhutan Electric Vehicle Initiative: Scenarios, Implications, and Economic Impact

Abstract: D i r e c t i o n s i n D e v e l o p m e n t InfrastructureThe Bhutan Electric Vehicle Initiative • http://dx.

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Cited by 7 publications
(6 citation statements)
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“…In case of techno-economic parameters of demand technologies, Bhutan specific data were used wherever available and the remaining data requirements were surrogated and adapted from the wider literature. For instance, data for transport sector were adapted from: City Bus Service (2015), Department of Renewable Energy (2015b), DoE (2010), , the Ministry of Information and Communications (2015), and Zhu, Patella, Steinmetz and Peamsilpakulchorn (2016). Data for industry sector were obtained from: DoI (2015), Huisingh, Zhang, Moore, Qiao and Li (2015), Kero, Grådahl and Tranell (2016), NEC &TERI (2016).…”
Section: A1 Data Sourcementioning
confidence: 99%
See 1 more Smart Citation
“…In case of techno-economic parameters of demand technologies, Bhutan specific data were used wherever available and the remaining data requirements were surrogated and adapted from the wider literature. For instance, data for transport sector were adapted from: City Bus Service (2015), Department of Renewable Energy (2015b), DoE (2010), , the Ministry of Information and Communications (2015), and Zhu, Patella, Steinmetz and Peamsilpakulchorn (2016). Data for industry sector were obtained from: DoI (2015), Huisingh, Zhang, Moore, Qiao and Li (2015), Kero, Grådahl and Tranell (2016), NEC &TERI (2016).…”
Section: A1 Data Sourcementioning
confidence: 99%
“…Learning rates were imputed from Rubin, Azevedo, Jaramillo, and Yeh (2015) and . Yangka and Diesendorf (2016) and Zhu et al (2016). relates the current branch (containing the above expression syntax) to the other branch which contains the independent variable that is assumed to drive the growth of the dependent variable in the current branch within the elasticity value specified by the modeller.…”
Section: A1 Data Sourcementioning
confidence: 99%
“…For instance, in the United States (US), the National Program Charging Point America has taken an initiative of building nearly 5000 EV charging stations to offer charging services in nine regions of the U.S. [6]. Even a developing country like Bhutan has taken an initiative to set up charging infrastructure for the promotion of the EVs [7]. The establishment of charging stations imposes an additional burden on the power grid, as the high charging loads of fast EV charging stations will degrade the operating parameters of the distribution network.…”
Section: Introductionmentioning
confidence: 99%
“…For example, in the USA, the National Program Charging Point America has started to build about 5000 EV charging stations in nine regions of the country [4]. Even some developing countries like Bhutan are encouraging the deployment of EV charging stations [5]. It can be easily understood that the world is more aware of global warming and climate change, but not on the impact of EV charging stations on the already built power grids.…”
Section: Introductionmentioning
confidence: 99%