Leveraging Synergies to Catalyze Co-Adoption of Dynamic EV Charging and Solar Energy
Interdisciplinary Areas: | Data and Engineering Applications, Smart City, Infrastructure, Transportation, Power, Energy, and the Environment |
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Project Description
Widespread electrification of vehicles holds potential to significantly improve the efficiency and effectiveness of the US transportation network while also decreasing harmful emissions from internal combustion engine technologies. A major challenge to widespread electrification, particularly of heavy-duty fleets, is the lack of economically viable rural charging infrastructure that addresses vehicle range and charging time constraints. Thus, the synergy of two novel technologies, namely EV charging technologies and energy provision through proximate solar panel infrastructure, provides a solution at scale to catalyze EV adoption. Our project proposes to target the intersection of solar energy and EV charging infrastructure (static and dynamic) as a way to better understand co-adoption patterns in diverse rural settings with particular regard to heavy-duty vehicles. Our work will result in a novel set of data that holistically incorporates EV charging and solar technologies. Operational scale simulations will address technology siting issues (for both energy generation and charging infrastructure) while optimizing on locational characteristics that most inform the overall economic viability of an integrated system. Diffusion of solar energy can thus be catalyzed by a co-adoption strategy that integrates technology effectively into green corridors coupled with dynamic and static electric charging infrastructure for heavy duty vehicles.
Start Date
March 2021 or sooner
Postdoc Qualifications
We are looking for a candidate that has a doctoral degree in a relevant field, including (but not restricted to) transportation systems, power systems, or economics. We are looking for a candidate with good analytical skills, preferably with experience in modeling & simulation, survey analysis, statistical tools, mixed methods and experience in interdisciplinary work. Additional qualifications include strong organizational, writing, and oral communication skills, and ability to work independently and participate in teams with diverse individuals.
Co-Advisors
Dionysios Aliprantis, Professor, School of Electrical and Computer Engineering, Purdue University, West Lafayette; dionysios@purdue.edu; https://engineering.purdue.edu/~dionysis/
Konstantina (Nadia) Gkritza, Professor, Lyles School of Civil Engineering and Department of Agricultural and Biological Engineering, Purdue University, West Lafayette; nadia@purdue.edu; https://engineering.purdue.edu/STSRG
References
D. Haddad, T. Konstantinou, A. Prasad, Z. Hua, D. Aliprantis,K. Gkritza, and S. Pekarek, “Data-driven design and assessment of dynamic wireless charging systems,” inProc. 2019 IEEE PELS Work-shop on Emerging Technologies: Wireless Power Transfer (WoW), London, England, June 17–21,2019.
Xiaotong Sun, Zhibin Chen, Yafeng Yin, Integrated planning of static and dynamic charging infrastructure for electric vehicles, Transportation Research Part D: Transport and Environment,
Volume 83,2020,102331,ISSN 1361-9209,https://doi.org/10.1016/j.trd.2020.102331.
Young Jae Jang, Survey of the operation and system study on wireless charging electric vehicle systems,Transportation Research Part C: Emerging Technologies,Volume 95,2018,Pages 844-866,
ISSN 0968-090X,https://doi.org/10.1016/j.trc.2018.04.006.
Yu (Marco) Nie, Mehrnaz Ghamami,A corridor-centric approach to planning electric vehicle charging infrastructure, Transportation Research Part B: Methodological,Volume 57,2013,Pages 172-190,ISSN 0191-2615, https://doi.org/10.1016/j.trb.2013.08.010.