Highly-resolved modeling of personal transportation energy consumption in the United States
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- 作者：Matteo Muratori ; Michael J. Moran ; Emmanuele Serra ; Giorgio Rizzoni
- 关键词：Bottom-up modeling ; Personal energy consumption ; Primary energy for transportation ; Oil dependency ; Passenger vehicles energy consumption ; Electric vehicles
- 刊名：Energy
- 出版年：2013
- 出版时间：1 September, 2013
- 年：2013
- 卷：58
- 期：Complete
- 页码：168-177
- 全文大小：1624 K
文摘
This paper centers on the estimation of the total primary energy consumption for personal transportation in the United States, to include gasoline and/or electricity consumption, depending on vehicle type. The bottom-up sector-based estimation method introduced here contributes to a computational tool under development at The Ohio State University for assisting decision making in energy policy, pricing, and investment.
In order to simulate highly-resolved consumption profiles three main modeling steps are needed: modeling the behavior of drivers, generating realistic driving profiles, and simulating energy consumption of different kinds of vehicles.
The modeling proposed allows for evaluating the impact of plug-in electric vehicles on the electric grid - especially at the distribution level. It can serve as a tool to compare different vehicle types and assist policy-makers in estimating their impact on primary energy consumption and the role transportation can play to reduce oil dependency.