Equitable Access To Residential (EQUATOR) EV Charging

Overview

The primary objective of this research project is to define quantifiable metrics that make it possible to adequately represent accessibility of EV charging infrastructure and to internalize these metrics in decision-support procedures and tools that are used by utilities and authorities to determine electricity rates (tariffs) and additional incentives to promote investments in EV charging infrastructure.

Accordingly, the proposed research effort will be organized in two phases:

Phase I. Metrics: Define metrics for evaluating the accessibility of EV charging, including:

  • Affordability intends to characterize the cost of EV charging relative to the amount that the purchaser is able to pay
  • Environmental benefits will be defined in terms of the social cost of abated CO2 emissions, air quality benefits, and public health benefits
  • Quality of services seeks to measure the convenience of using EV charging stations

Additionally, to visualize the analyses using the proposed metrics, we will develop a web dashboard to convey key insights in a form conducive for decision-making with non-engineering backgrounds. This dashboard will display the proposed metrics overlayed with a map of NYC and use streaming data from NYC Open Data for continuous updates.

Phase II. Optimal Investments in EV Charging: Internalize the metrics developed in Phase I in decision-support tools for optimizing incentives and investments for public EV charging infrastructure. Using the metrics developed above, we will formulate a planning model to optimize the roll-out of EV charging infrastructure from the viewpoint of a benevolent urban planner (e.g. transportation authority or public service utility commission) that seeks to determine the most economic locations for prospective EV charging stations, while satisfying techno-economic constraints on the operation of the power and transportation systems and avoiding social imbalances across the city.

Research Objectives & Deliverables

Various tasks and deliverables involved in the successful completion of the proposed project will include the following:

  • Deliverable 1: Report on the application of the proposed metrics to NYC Open data
  • Deliverable 2: Web dashboard that continuously updates the developed metrics assessing based on the updated information in NYC Open Data and provides up-to-date information on the accessibility of EV charging infrastructure. This dashboard will be implemented in a similar manner to the ongoing project of PI Dvorkin on socio-economic characterization of power outages: http://outagesnyc.hosting.nyu.edu/about
  • Deliverable 3: Report on the quantified inefficiencies and injustices in the public EV charging sector and recommendations on how to direct budget-constraint investments to mitigate these inefficiencies and injustices

Upon the start of the project, we additionally plan to assemble an Advisory Board, which will include a representative from an NYC transportation authority and a Con Edison, which the PIs have successfully achieved for their current effort. We will also seek to engage a regulator or lawmaker to participate in the Advisory Board and will target representatives from the New York City Department of Transportation, and New York State Department of Public Service.

Personnel

Yury Dvorkin

PRINCIPAL INVESTIGATOR

Burcin Unel

CO-PRINCIPAL INVESTIGATOR

Samrat Acharya

Samrat Acharya

STUDENT RESEARCHER

Hafiz Anwar Ullah Khan

STUDENT RESEARCHER

Principal InvestigatorDr. Yury Dvorkin,
Funding SourceThe budget request is $60,001 and we provide $30,696 as the cost share from non-federal grants available to PI Dvorkin.
Total Project Cost$90,697
USDOT Award #69A3551747124 
Implementation of Research OutcomesResearch outcomes will be implemented as a real-time web dashboard that continuously displays and updates metrics for accessibility of EV charging in NYC
Impacts/Benefits of Implementation

The project will develop a web dashboard that will convey key insights on the accessibility of EV charging in NYC, in a form conducive for decision-making with non-engineering backgrounds. This dashboard will display the developed metrics overlayed with a map of NYC and use streaming data from NYC Open Data for continuous updates, thus increasing awareness of decision-makers and NYC dwellers of existing inefficiencies and injustices. The outcomes of this dashboard can then be used to rectify these inefficiencies and injustices by regulators and primary stakeholders

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