Optimising EV charging tariffs.

Overview.

Project background.

The rapid adoption of electric vehicles (EVs) presents both opportunities and challenges. EV owners seek a seamless charging experience that mirrors the convenience of traditional vehicles, yet navigating complex electricity tariffs and ensuring adequate infrastructure can be daunting. Full Stack Energy was approached to optimise residential EV charging solutions, addressing key operational issues such as charger deployment, electricity tariff complexities, and the variability of user behavior.

Challenges.

Charge point operators face significant hurdles, notably the complex electricity rate structures and unpredictable user demand patterns, making it challenging to profitably deploy and operate EV chargers. A prominent residential property developer sought a robust solution to efficiently manage EV charging infrastructure within their apartment complexes, ensuring minimal inconvenience to residents, optimal cost-efficiency, and sustainable revenue generation for operators.
  • Complex electricity price structures
  • Unpredictable user demand patterns
  • Difficulty to predict and manage sustainable revenue generation from EV charging.

Full Stack Energy's

Solution.

Leveraging our deep expertise in data modelling, EV integration, and optimisation, Full Stack Energy developed a tailored solution involving advanced demographic analytics, real-time data insights, and sophisticated utility rate modelling:

Key Technical Highlights:

  • Detailed Demographic Analysis: Using resident demographic data, we defined distinct "Personas" to simulate various charging behaviors accurately. This provided crucial insights into EV ownership patterns, weekly mileage, charging frequency, and peak charging hours.
  • Utility Tariff Modelling: Our team meticulously analysed electricity tariffs, particularly Time of Use (ToU) rates, identifying cost-sensitive charging windows and optimal scheduling to minimise operational expenses.
  • Real-time Data Optimisation: By integrating real-time analytics, we enabled dynamic adjustments to charger operations, maximising efficiency and cost-effectiveness.
  • Scalable Infrastructure Modelling: We determined the precise number of EV chargers required, eliminating unnecessary capital expenditure and enhancing system scalability.

Implementation:

United States of America

Industry:

E-mobility.

Client:

EV Charge Point Operator

Expert stack.

Data Modelling:

Advanced Data Modelling •  Simulation Tools

Hardware:

Integration with IoT-based EV Chargers (7kW standard rating)

Software:

Cloud-native Real-time Analytics  • Utility Tariff Management Systems
Demographic Analysis

Outcome.

Impact and results.

Why it matters.

This successful implementation underscores Full Stack Energy's distinctive expertise: bridging the gap between visionary ideas and impactful, market-ready solutions. Our commitment to sustainability and operational excellence has empowered clients to confidently scale their EV infrastructure, unlocking new revenue streams and fostering sustainable practices.
  • Cost Reduction: Optimised charging schedules reduced peak loads significantly, translating into lower operational costs and avoidance of costly utility penalties
  • Operational Efficiency: Precise charger deployment modelling ensured adequate infrastructure without surplus investment.
  • Enhanced Resident Satisfaction: Users benefited from cost-effective, convenient charging solutions, promoting EV adoption and satisfaction among residents.
  • Scalable Growth: A robust framework was established, allowing seamless scalability and adaptability to future demographic changes or expansions.

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Contact us.

Let's talk about how Full Stack Energy can create a custom solution for your business.