Dynamic tariffs are revolutionizing energy markets, enabling consumers to save by adjusting their energy usage based on real-time prices. They boost energy efficiency, support renewable adoption, and stabilize the grid, all while empowering users and promoting sustainability. However, navigating this complex pricing landscape remains a challenge. How can we simplify dynamic tariffs and unlock even greater benefits for consumers?

Sigenergy’s SigenStor, paired with the self-developed mySigen App, offers an ideal solution. This advanced energy storage system, driven by AI, transforms the challenges of dynamic tariffs into valuable opportunities.

In this article, we’ll explore how Sigenergy delivers on this promise through a real-life UK residential case study. With mySigen, the industry’s most intelligent energy application, users across Europe can fully harness the potential of dynamic tariffs. Paired with Sigen AI, it empowers users to maximize savings while making energy management simpler than ever.

• Solar PV Capacity: 10.08 kW
• Energy Storage Capacity: 19.34 kWh
• AI Mode Operation Duration: 10 months

Monthly Savings: AI in Action

The table below compares the household’s monthly energy savings with and without AI optimization. The results show a remarkable improvement, with Sigen AI achieving up to 44.56% additional savings on certain dates.

The observation period was extended to analyze returns over a longer timeframe. As shown in the table below, despite minor variations, the overall return remains consistently stable and exceeds 20%. This highlights the dependable performance of AI technology in delivering high returns for residential users.

How Does Sigen AI Optimize Energy Use?

• The blue curve represents the actual power generation from solar panels.
• The green curve shows the AI’s prediction of solar power generation, factoring in geographic, weather, and environmental data.
• The yellow curve displays actual electricity consumption.
• The red curve represents Sigen AI’s forecast of future electricity consumption, built on patterns learned from cumulative data.

The close alignment of the predicted and actual curves demonstrates the AI's ability to accurately forecast and optimize energy generation and consumption. While there may be minor fluctuations, the overall trends are remarkably aligned. This level of precision in prediction, despite inherent variations in user behavior, highlights the power of AI in driving reliable and efficient energy management.

Let’s delve into two key scenarios to fully grasp the transformative potential of AI in reducing energy costs and maximizing profitability.

• 3:00 AM - 5:00 AM: The system charged the battery at the lowest grid prices.
• 7:30 AM - 8:00 AM: Rising prices and solar generation were balanced by using solar and battery power for household loads.
• 9:00 AM - 3:00 PM: Solar energy charged the battery, while household loads were supplied by the low-cost grid.
• 3:00 PM onwards: During peak electricity prices, the battery powered household loads.

This optimization reduced reliance on high-cost grid electricity. Under AI mode, daily savings reached £3.28, compared to just £1.13 in self-consumption mode—a 190% increase.

On October 21, 2024, grid prices varied widely, with near-zero costs during early morning hours. Sigen AI capitalized on these fluctuations to generate profits:

• 12:00 AM - 2:00 AM: Excess energy was sold to the grid at £0.15/kWh.
• 2:00 AM - 4:00 AM: The battery recharged at near-zero prices.
• 4:00 AM - 5:00 AM: Energy was sold again at £0.15/kWh.
• 5:00 AM - 6:30 AM: Recharged again during near-zero prices.
• 4:00 PM - 8:00 PM: Solar and battery energy supplied household loads during peak prices.

With these actions, the AI-enabled system generated a net daily benefit of £3.83, compared to just £0.38 without AI—a staggering 900% improvement.

These case scenarios illustrate the transformative potential of Sigen AI in reducing energy costs and maximizing profits. By leveraging AI to intelligently respond to dynamic tariff structures, the system delivers substantial financial benefits, unparalleled efficiency, and effortless energy management.