Model Profit From Electric Vehicles
Add charging stations to your utility connected or islanded Microgrid to unlock new sources of revenue and enhance local services.
How Does EV Modeling in XENDEE Work?
XENDEE calculates the capabilities of your charging stations based on their rating, charging efficiency, and charging characteristics to create a model of the available energy at every time step of the day. EV charging EV charging availability is then applied to XENDEE’s modeling and dispatch optimization systems along with the other distributed energy resource technologies in your Microgrid to assess how much energy can be efficiently and cost effectively dispatched throughout the day. This allows users to make intelligent decisions about their fleet or to place charging stations in remote locations.
Maximize Efficiency Throughout the Day
XENDEE’s optimization tools leverage the local utility grid as well as your existing distributed energy resources such as solar power or stationary batteries to find the best pricing opportunities to charge your fleet or offer services to the public. This can also be customized, by either uploading your known electric vehicle load data from existing demand information or by allowing XENDEE to optimize availability based on based on your Microgrid’s capabilities. All these options are available in XENDEE’s Electric Vehicle dialogue box and can even be customized to meet charging needs or curtailed to maintain energy stability for the most important electrical loads.
Optimize Charging And Model Grid Impact
Method #1: Optimal Charging Strategy
The most optimal method for load computation allows XENDEE to calculate the station capabilities and estimated usage. This is useful when the hourly EV charging load is unknown, or when users want XENDEE to maximize revenue from EV charging stations in a flexible way. Users access this mode by toggling to the “XENDEE Computes Load” option and specifying data on the number of stations, their electrical capabilities, and the amount of energy needed to power the fleet. With this information, as well as the needed to power the fleet. With this information, as well as the rate that drivers will pay to charge their vehicles, a model of revenue can be established and models of fleet operation can be produced.
Method #2: Load Shape
The second method for modeling in XENDEE is providing your own EV load data. This is an excellent modeling solution when you have existing data as a fixed demand profile for XENDEE to optimize. To utilize the load shape known feature, users can upload data directly into the EV dialogue box to sync a year's worth of time series energy consumption in one step. Hourly demand for these electric vehicle charging stations will then be analyzed and met unless load management st analyzed and met unless load management strategies such as load shifting are enabled and found to be optimal in the system and confirmed by XENDEE’s adaptive algorithm.
Optimized Operational Data is Generated
Every time an optimization is run, XENDEE creates an optimized dispatch for the Microgrid including EV charging stations to capture the most value while also maintaining energy resilience and power quality. XENDEE also intelligently alters the dispatch throughout the day to best take advantage of changing utility tariffs as well as opportune DER spikes such as a peak in solar power during the middle of the day.