Yalantis integrated IoT data analytics, demand response programs, and real-time notifications to help a fast-growing UK charging network reduce carbon emissions, improve grid stability, and encourage eco-friendly charging behavior.
“EV charging networks generate massive amounts of data – usage patterns, grid conditions, demand curves. Most operators treat this as operational overhead. Our client saw it as an opportunity to reshape how the UK charges its vehicles. By integrating real-time IoT data with grid APIs and user notifications, we turned a charging network into a sustainability platform.”
– Denys Hukov, Head of IoT Unit at Yalantis
Data infrastructure struggling to keep up with growth? We build future-proof data strategies.
We integrated the client’s software with our IoT Accelerator data management platform, enabling real-time data streams and comprehensive monitoring of infrastructure operations. The client gained insights into urban dynamics and EV usage patterns – empowering strategic decisions about where to install charging stations based on population density, traffic patterns, and proximity to major routes.
We implemented demand response strategies that dynamically adjust charging rates and schedules based on grid conditions and electricity prices. During high demand or limited grid capacity, the software delays charging or reduces rates to prevent blackouts and grid instability. Discounted off-peak rates flatten demand curves and minimize fossil fuel-based power generation.
We integrated the client’s software with utility providers’ systems through APIs to get real-time data on electricity prices, demand levels, and peak hours. By offering discounted rates and rewards for off-peak charging, users charge when electricity demand is lower – saving money while balancing grid load. Off-peak charging also enables greater use of renewable energy when solar or wind generation is highest.
We developed an advanced notification module that keeps users informed throughout their charging experience. Using real-time data and user preferences, the system sends reminders to plug in during off-peak hours, alerts when electricity rates are low, and updates on charging progress. Users make informed decisions about when to charge.
– More people have access to convenient charging facilities – accessibility encourages EV adoption, reducing emissions compared to combustion engines
– Equal access for diverse communities – strategic station placement bridges transportation gaps for underserved populations
– Reduced environmental impact – dynamic charging adjustments decrease greenhouse gas emissions and air pollutants
– Enhanced grid stability – load balancing ensures uninterrupted electricity access for EV owners and the general population
– Improved air quality – less grid strain means reduced dependence on fossil fuel generation and lower sulfur dioxide/nitrogen oxide emissions
– Greater renewable energy integration – users charge when solar or wind generation peaks, increasing overall renewable energy use
– Improved user engagement – personalized information fosters transparency, trust, and confidence in EV ownership
– Maximized cost savings – timely pricing information empowers users to take advantage of discounted rates
– Sustainable behavior promotion – off-peak reminders encourage eco-friendly practices that reduce energy consumption and carbon emissions
Yalantis IoT Accelerator integration enhanced data analysis and improved charging station deployment decisions.
Off-peak charging reminders encourage eco-friendly behavior that lowers carbon emissions
sers receive valuable information about electricity prices, charging availability, and other relevant matters
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27001 2022 / 27001 2015 / 13485
Advanced IoT Core Delivery / Advanced RDS Delivery / Advanced Tier Delivery
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