As an energy supplier, you receive real-time data, tools and analyses to answer your questions about tomorrow’s energy supply (decentralisation, decarbonisation and digitalisation).
With real-time data, you bring light into the darkness of the distribution grids. You begin to understand how the load flows in your distribution grid are changing due to the electrification of mobility and heat as well as the expansion of photovoltaics and what this means for your grid.
Demand Side Management
The sustainable mobility of the future is electric. Integrate electric cars intelligently into your distribution grid and use their flexibility for collective optimisation within a neighbourhood. For sustainable mobility without grid overload.
Simulations and data analytics
Based on data from your supply area and new scientific methods, aliunid can work with you to answer important questions about your energy and network economy of tomorrow.
Analysis of the local and regional charging behaviour of e-mobility
Scenarios for the future total load profile incl. e-mobility, heat pumps and photovoltaics
Analysis of the influence of electromobility on the load flows in individual transformer circuits
Identification of the transformer stations with the greatest need for action with regard to an overload risk
Visualisation of the load flows in your distribution network or individual transformer circuits in real time
Disaggregation and forecasting of the largest consumers (analytically or by sub-metering)
More insights with real-time monitoring
Real-time data can be used to further improve the analyses, and the monitoring is specifically tailored to the customer’s needs. With our technology, we can measure at the most diverse points and integrate the most diverse interfaces in the distribution network.
- Decentralised production (e.g. photovoltaics)
- Central production (e.g. hydropower plants)
- Balance groups
- Feeding in the substations
- Transformer stations
- Distribution cabins
Business and private clients
- load profile
Collective optimisation in real time
Real-time data is the basis for demand side management in the future.
The energy transition is leading to major changes in the load on the distribution grids. For the grid and the energy supply to remain secure and affordable, the use of the grids must be optimised from an overall (collective) perspective. The initial situation can be different for each grid operator. Together with aliunid, you analyse your initial situation and develop a specific solution for your energy transition challenges.
Real-time monitoring of your distribution network provides information on the current network utilisation.
Control algorithms prevent local grid overload and optimise load flows.
Electric cars, heat pumps and photovoltaics can be used flexibly to collectively optimise the distribution grid.
Use Case Electromobility
The charging behaviour of the electric cars within a transformer circuit is collectively optimised. Real-time data makes it possible to break load peaks and use locally produced electricity directly. The end customers retain decision-making authority via the app and receive appropriate remuneration for their flexibility.
Your advantages as an EVU
Innovation for the power supply of tomorrow
You position yourself as an innovative electricity supplier and learn how to use data from your distribution network to meet the challenges of tomorrow’s energy and network industry.
Intelligence instead of copper
The simulations create a data-based analysis of the need for action in the distribution network and enable a cost-efficient expansion.
decentralised, decarbonised and digital
You will gain new skills and take the next step towards a decentralised, decarbonised and digital energy supply.
aliunid knows the industry
We have many years of experience in the energy sector and advise you individually and in close proximity to our customers.
The way we produce and use electricity is currently undergoing major changes. Electric cars and heat pumps need additional electricity, and electricity is produced decentrally via solar installations.
What influence will electric cars and photovoltaic systems have on the IB-Murten electricity grid? And how will it be if the expansion of these continues? When will the grid operator have to take measures?
In 2017, the Energy Strategy 2050 was approved in a referendum. Based on this decision, it is expected that the number of decentralised renewable energy sources will soon increase significantly. What are the most important aspects of a breathing supply grid?
Data analyses and artificial intelligence (AI) in the electricity grid can not only provide great added value for grid operators and the overall system, but are also necessary for the transformation to a sustainable energy supply to succeed.
aliunid’s core competences make it possible
Would you like more information or a product demonstration?