Anyone looking to optimise their energy consumption needs reliable data. This is precisely where modern energy solutions, such as those from energieleser excel. The technology can read data from existing electricity meters and make consumption data available in real time, eliminating the need to replace the existing infrastructure.
This paves the way for more precise analysis of energy consumption and automated energy management solutions in domestic and commercial settings.
Balcony power plants and comprehensive energy data
The idea behind energieleser arose during the development of solutions for balcony power plants. It became apparent that many users were dissatisfied with the consumption data available from their inverters. While these provide information on electricity generation, they often do not take actual energy consumption into account.
The developers therefore focused on a different data source: the electricity meter. This initially led to the development of the stromleser reading head for digital electricity meters, and later a complete ecosystem for recording electricity, gas, water and heating data.
Digitising existing meters rather than replacing them
A key feature of the solution is retrofitting existing meters. The devices transform metering equipment into digital data sources, eliminating the need for modifications or intervention in the existing installation.
The data collected can be visualised directly in an app or integrated into existing smart home platforms. This allows consumption figures to be monitored and automated processes to be set up.
Practical example: Storing solar power rather than feeding it into the grid
Many households with photovoltaic systems or balcony power plants want to use as much of their self-generated electricity as possible. To this end, battery storage systems are being used more and more to store surplus energy and make it available later on.
The stromleser provides the necessary data for this. By reading the electricity meter, consumption, grid consumption and feed-in can be monitored. This makes it possible to track when surplus solar power is available and how much energy is being fed into the public grid at any given time.
This information can be integrated into energy management and smart home systems, enabling more targeted use of storage and further optimisation of self-consumption. The advantage is that energy flows become visible, enabling decisions to be based on real consumption data rather than estimates.
The article ‘MARSTEK: Modern energy systems for efficient PV applications‘ also demonstrates how modern battery storage systems can increase self-consumption.
Practical example: Intelligent control of a wallbox
One typical application scenario is controlling a wallbox based on current consumption data. In this case, real-time values provided by the electricity meter are used to adapt charging processes according to the current grid load or available solar power.
The advantage is that energy can be used more efficiently. At the same time, peak loads can be reduced and self-consumption increased. This is based on precise measurement data from day-to-day operations.
Energy data forms the basis for smart decisions
As households become increasingly electrified, consumption data is becoming ever more important. Heat pumps, battery storage systems, wallboxes and photovoltaic systems are generating increasingly complex energy flows.
Solutions such as the stromleser provide the necessary data foundation to efficiently network these systems. This makes energy data not only visible, but also usable for automation and data-driven decisions — an important step towards smart energy management.
Images: energieleser
