The Component Primary Energy Factor
Component Template
The Primary_Energy_Factor.e-ctpl component template is located in the Component template library folder Key Figures.
How the Component Works
The key figure Primary Energy Factor represents the ratio of primary energy used to energy generated or consumed. The factor is used to assess the climate friendliness of energy-converting processes. The primary energy factor includes energy conversion losses that occur in the course of the process steps. It is calculated by default according to the following formula, in which \( i \) is the running index.
\( K_{primary\ energy\ factor} = \frac {\sum P_{primary\ energy,i}} {\sum {P_{reference\ value,i}}} \)
Referring to the output data of the electricity supplier (see the following figure), the following applies:
\( \sum P_{primary\ energy} = {(P_{power\ supply}\ – P_{power\ consumption})} \cdot {primary\ energy\ factor} \)
The sum of primary energy is equal to the difference between the power withdrawn from the supplier and the power fed into the grid (and thus into the supplier), multiplied by the primary energy factor. The amount of power fed into the grid is multiplied by the primary energy factor to value the amount of power it displaces from the grid.
The range of values of the primary energy factor is between + infinity and − infinity with the uniquely definable target: \( K_{primary\ energy\ factor} ≤ 0 \).
Input Data
Output Data
Scenarios
A process with \( K_{primary\ energy\ factor} = 0 \) is considered as climate neutral. A primary energy factor of 0 is achieved when the amount of power generated from renewables and fed into the grid is equal to the power output from the grid.
If the amount of power generated from renewable energy and fed into the grid exceeds the power output from the grid, a climate-positive balance is achieved: \( K_{primary\ energy\ factor} < 0 \).
If there is no energy generation and thus no feed-in, the primary energy factor can only assume values greater than or equal to 1. In this case, the focus is on reducing losses and achieving a value close to 1.
For further information on parameterization and reformulation of the component, see the articles on key figures and the tutorials 90–key figures and 91—allocation methods for specific CO2 emissions.
