With the spread of renewable energy technologies, the demand for intelligent energy management solutions at the low-voltage level is increasing. Local generation from micro-installations and flexible consumers are already being balanced at the local level, thus reducing complexity at the higher voltage levels. The management must therefore orient itself towards the decentralized plant structure and a large number of market participants.
Therefore, we optimize internal building energy systems at the lowest level. With falling feed-in tariffs for electricity from photovoltaic systems, it is becoming more and more appealing for private individuals to increase their photovoltaic self-consumption. This applies to both single-family homes, and in the future, increasingly to properties with a landlord-to-tenant electricity supply model. The lower the grid reliance in a property with landlord-to-tenant electricity supply, the better the economic efficiency. We set incentives for load shifting through price variability, depending on self-consumption rate. The economic advantage benefits both operators and end-use customers.
At the next highest level, we deal with the optimization of entire districts. At both building and district levels, we are focused on the decentralized system situation, and supply decentralized control units with our energy agent product that pursues customer-defined objectives. These customer systems are not controlled from the outside, and customers retain full sovereignty with their agent-controlled systems.
The areas of application in which the agents add value are diverse. Already established, operators for landlord-to-tenant electricity supply, as well as newcomers, can use the energy agents to increase their self-consumption rate, and thus profitability for themselves and their tenants. Generation peaks can be reduced by targeted consumption during off-peak hours, and lead to less regulation and potentially less grid expansion. Energy supply companies can better forecast and balance their control areas. Finally, device manufacturers of flexible loads such as charging stations or heat pumps can further enhance the attractiveness of their products by equipping their devices with our energy agents.
Our R&D services include:
- Development of energy agents for different controllable loads
- Simulation environment for the evaluation of decentralized digital agents
- Testing of different agent targets in a decentralized simulation environment Simulated controllable loads include: Electric cars, cogeneration units, heat pumps and batteries
- Development of block chain solutions for cause-based billing
- We are investigating whether and how block chain technology is suitable as a billing module for agents. Our focus is on automated invoicing with the help of Smart Contracts.
- Development of user interfaces for monitoring purposes and for interaction with agents
- Development and evaluation of business models with agents
- In particular, we offer a novel model for landlord-to-tenant electricity supply that provides a price incentive as a basis for load shifting and optimization of PV self-consumption by agents.
- Simulation and analyses of individual properties with landlord-to-tenant electricity supply.
- We can model in detail the electrical and thermal energy demand and quantify the profit to be expected from such a project with individual resident structure and building condition.
- Further development and use of the open-source energy management platform "OpenMUC"
- Development of district energy management solutions for individual district constellations
- In addition to electrical optimization, we also consider sector coupling for mobility and heating & cooling.