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For many homeowners, rising electricity prices and increasing energy demand are driving the need for smarter and more independent energy solutions. For Richard Kohlerstrand, the goal was clear: gain better control over electricity consumption and reduce dependence on fluctuating energy costs. By implementing a Sungrow hybrid system combined with the iHomeManager, the household transformed its energy usage into a fully optimized and automated system. Today, energy production, storage, and consumption are seamlessly managed in one place, providing both transparency and control through a mobile interface.

Modern households are becoming increasingly energy-intensive, with electric vehicles, heating systems, and appliances placing higher demands on electricity consumption. At the same time, volatile electricity prices make it difficult for homeowners to predict and manage costs effectively. The challenge was to create a system that could intelligently coordinate energy flows across multiple applications while remaining easy to use. It needed to integrate with existing smart home components, optimize solar energy usage, and automatically respond to changing conditions such as electricity prices and energy production levels.

The solution was built around Sungrow’s hybrid residential system, enhanced by the iHomeManager for intelligent energy control. This combination enables real-time monitoring and automated decision-making based on solar production, household consumption, and external factors such as electricity pricing. Through the integrated system, energy is dynamically distributed to where it is needed most. For example, the system automatically determines the optimal time to charge the electric vehicle, store energy in the battery, or power household appliances. It can also prioritize heating or other energy-intensive processes based on availability and cost efficiency. A key advantage lies in its flexibility, allowing seamless integration with other smart home systems. This ensures that all energy-related functions are centralized, intuitive, and optimized without requiring manual intervention.