01 · Chapter
The smart meter
A smart meter records not only how much electricity is consumed or exported, but also when these exchanges take place. This time dimension reveals how the building actually operates.
Understanding SynergyFlex
The rollout of smart meters is making increasingly detailed energy profiles available. These data open up new possibilities: sizing a solar PV system and battery, using dynamic tariffs, or sharing locally generated electricity.
Data alone are not enough. Generation, consumption, storage, prices and exchanges with the grid all change at the same time and must be analysed on a common time base.
SynergyFlex grew from this observation as part of a Master’s thesis in Energy and Environment. Its purpose is to turn complex energy data into comparable scenarios and understandable decisions.
01 · Chapter
A smart meter records not only how much electricity is consumed or exported, but also when these exchanges take place. This time dimension reveals how the building actually operates.
02 · Chapter
Explore the map: choose a scenario, then select an element or connection to follow the flows and understand the data being analysed.
Choose a map view
A complete view of the building, meter, grid, solar PV, battery, tariff and local sharing.
All profiles are placed on a common time base.
Understand how physical flows and data converge before exploring a possibility.
Solar PV generation, direct consumption, battery storage and remaining grid exchanges.
Time-based generation and consumption, charging, discharging, exported surplus and remaining grid imports.
Compare alternatives with and without a battery. The value of storage depends on the actual profile, surplus, cost and operating conditions.
A tariff signal connected to the meter, the grid and SynergyFlex.
Price at each time step, consumption, storage and grid exchanges.
Identify periods when exchanges with the grid may have different economic implications.
Local generation, several consumers, their local exchanges and the grid.
Generation and consumption profiles for each participant, local exchanges and remaining grid demand.
Assess the share used locally, remaining grid exchanges and the conditions for sharing. The applicable framework depends on the grid connection and distribution system operator.
Supplies the remaining demand and receives surplus energy.
The electricity grid connected to the building’s grid connection point.
Electricity imported from the grid and surplus electricity exported to it.
Assess the remaining grid exchanges and their energy and economic implications.
Records how much electricity is imported or exported, and when.
The measurement point between the building and the electricity grid.
Imported and exported electricity assigned to each time step.
Understand how the building actually operates and reconstruct its exchanges with the grid.
Its consumption profile changes over time.
The building and its actual electricity demand over time.
The building’s time-based consumption profile.
Identify when energy is required and compare this demand with local generation and grid exchanges.
Generates local energy that varies over time.
The solar PV generation associated with the building or site.
The time-based solar PV generation profile.
Compare generation with consumption, then distinguish direct use, surplus energy and remaining grid demand.
Shifts part of the energy through time.
Energy storage connected to the building’s electrical system.
Energy sent to the battery, returned to the building and associated losses.
Assess the value of storage from the actual profile, available surplus, cost and operating conditions.
The price of electricity varies by time of day.
A tariff signal that changes over time.
Electricity price at each time step, combined with the measured grid exchanges.
Identify periods when consumption, storage or shifting certain loads may have different economic implications.
Locally generated electricity can be shared by several consumers.
Several buildings or consumers connected to local generation and the grid.
Time-based generation and consumption profiles for each participant, together with their exchanges.
Assess the share used locally, the remaining grid demand and the energy and economic conditions for sharing.
Brings time series together and compares scenarios.
The analysis engine at the centre of the energy map.
Consumption, generation, storage, tariffs and grid exchanges placed on a common time base.
Simulate alternatives and compare their energy and economic implications to support a decision.
Turns results into information that supports a decision.
The output of the analysis: comparable energy and economic alternatives.
Indicators produced from the same assumptions and common time base.
Compare the implications of each alternative without claiming a single answer outside the project context.
Lines distinguish energy, data and tariff signals.
Arrows show the nature and direction of each connection.
Grid imports, exports, direct consumption, charging, discharging and data transfers.
Follow the path of energy and identify the data connecting the physical system to SynergyFlex.
03 · Chapter
Annual generation and annual consumption may appear compatible without ever coinciding. To assess a solution, every energy flow must be placed in time.
04 · Chapter
SynergyFlex grew from a Master’s thesis on energy and the use of new data, completed within the Master of Science in Engineering – Energy and Environment (opens in a new window). The platform was then developed further to bring together physical consistency, economic assessment and a clear presentation of the results.
Swiss context