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The importance of grid integration for achievable greenhouse gas emissions reductions from alternative vehicle technologies

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  • Tarroja, Brian
  • Shaffer, Brendan
  • Samuelsen, Scott

Abstract

Alternative vehicles must appropriately interface with the electric grid and renewable generation to contribute to decarbonization. This study investigates the impact of infrastructure configurations and management strategies on the vehicle–grid interface and vehicle greenhouse gas reduction potential with regard to California's Executive Order S-21-09 goal. Considered are battery electric vehicles, gasoline-fueled plug-in hybrid electric vehicles, hydrogen-fueled fuel cell vehicles, and plug-in hybrid fuel cell vehicles. Temporally resolved models of the electric grid, electric vehicle charging, hydrogen infrastructure, and vehicle powertrain simulations are integrated. For plug-in vehicles, consumer travel patterns can limit the greenhouse gas reductions without smart charging or energy storage. For fuel cell vehicles, the fuel production mix must be optimized for minimal greenhouse gas emissions. The plug-in hybrid fuel cell vehicle has the largest potential for emissions reduction due to smaller battery and fuel cells keeping efficiencies higher and meeting 86% of miles on electric travel keeping the hydrogen demand low. Energy storage is required to meet Executive Order S-21-09 goals in all cases. Meeting the goal requires renewable capacities of 205 GW for plug-in hybrid fuel cell vehicles and battery electric vehicle 100s, 255 GW for battery electric vehicle 200s, and 325 GW for fuel cell vehicles.

Suggested Citation

  • Tarroja, Brian & Shaffer, Brendan & Samuelsen, Scott, 2015. "The importance of grid integration for achievable greenhouse gas emissions reductions from alternative vehicle technologies," Energy, Elsevier, vol. 87(C), pages 504-519.
  • Handle: RePEc:eee:energy:v:87:y:2015:i:c:p:504-519
    DOI: 10.1016/j.energy.2015.05.012
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    8. Tarroja, Brian & AghaKouchak, Amir & Samuelsen, Scott, 2016. "Quantifying climate change impacts on hydropower generation and implications on electric grid greenhouse gas emissions and operation," Energy, Elsevier, vol. 111(C), pages 295-305.
    9. Forrest, Kate & Mac Kinnon, Michael & Tarroja, Brian & Samuelsen, Scott, 2020. "Estimating the technical feasibility of fuel cell and battery electric vehicles for the medium and heavy duty sectors in California," Applied Energy, Elsevier, vol. 276(C).
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    13. Teixeira, Ana Carolina Rodrigues & Sodré, José Ricardo, 2016. "Simulation of the impacts on carbon dioxide emissions from replacement of a conventional Brazilian taxi fleet by electric vehicles," Energy, Elsevier, vol. 115(P3), pages 1617-1622.
    14. Pavić, Ivan & Capuder, Tomislav & Kuzle, Igor, 2016. "Low carbon technologies as providers of operational flexibility in future power systems," Applied Energy, Elsevier, vol. 168(C), pages 724-738.
    15. Knüpfer, Kristina & Mäll, Martin & Esteban, Miguel & Shibayama, Tomoya, 2021. "Review of mixed-technology vehicle fleet evolution and representation in modelling studies: Policy contexts of Germany and Japan," Energy Policy, Elsevier, vol. 156(C).
    16. Tarroja, Brian & Shaffer, Brendan P. & Samuelsen, Scott, 2018. "Resource portfolio design considerations for materially-efficient planning of 100% renewable electricity systems," Energy, Elsevier, vol. 157(C), pages 460-471.
    17. Wang, Sarah & Tarroja, Brian & Schell, Lori Smith & Shaffer, Brendan & Samuelsen, Scott, 2019. "Prioritizing among the end uses of excess renewable energy for cost-effective greenhouse gas emission reductions," Applied Energy, Elsevier, vol. 235(C), pages 284-298.
    18. Iacobucci, Riccardo & McLellan, Benjamin & Tezuka, Tetsuo, 2018. "Modeling shared autonomous electric vehicles: Potential for transport and power grid integration," Energy, Elsevier, vol. 158(C), pages 148-163.
    19. Shuxia Yang & Di Zhang & Dongyan Li, 2019. "A Calculation Model for CO 2 Emission Reduction of Energy Internet: A Case Study of Yanqing," Sustainability, MDPI, vol. 11(9), pages 1-21, April.
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    21. Liu, Hanwu & Lei, Yulong & Fu, Yao & Li, Xingzhong, 2022. "A novel hybrid-point-line energy management strategy based on multi-objective optimization for range-extended electric vehicle," Energy, Elsevier, vol. 247(C).

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