CO2 captured storage view (t/h)

indexed by: asset, energy, data_type, node, technology and test case

Description

This KPI enables to understand and analyse in depth how an asset that can store energy operates. This KPI is the equivalent of the KPI Storage view for assets storing CO2 captured. This makes it possible, for example, to understand the type of flexibility provided by storage (daily or seasonal cycles) or to know whether storage cycles are limited by charging or discharging power or the energy storage capacity of the storage.

This KPI displays many temporal features of each storage asset over the entire period :

• Consumption (charge): energy charging of the storage asset

• Production (discharge): energy discharge of the storage asset

• Maximum storage capacity: this stands for the total installed energy storage capacity of the storage assets (cf. Energy storage capacities).

• Available storage capacity: this corresponds to the volume of the storage capacity that is available. Storage availability can vary over time. It is set by the “storage_availability” input parameter.

• Minimum storage level: this corresponds to the value of the constraint on minimum asset storage at each timestep. This is defined is the input parameter “min_storage_level”.

• Storage level: this is the energy stored in the storage asset at each timestep.

• Storage operating level: this corresponds to the difference between production and consumption at each timestep. If the storage is discharging, this is positiv and and negative if the asset withdraws from the network.

Calculation

All the equations below are valid for any realization and are therefore implicitly indexed by test case.

The calculations are detailed for each type of data according to the definitions given above. Energy, node, and technology are directly deduced from the asset. Most of these data are inputs or direct results of the optimisation.

• Consumption (charge): \(c_{a,e,n}(t)\)

• Production (discharge): \(p_{a,e,n}(t)\)

• Maximum storage capacity: \(s\_max_a\), defined in the KPI mentioned above, constant over the entire period.

• Available storage capacity: \(s\_max_a.av_a^{s}(t)\), with \(av_a^{s}(t)\) the storage availability (input parameter) at each timestep.

• Minimum storage level: \(s\_max_a.s\_min_a(t)\), with \(s\_min_a(t)\) the min storage level (%) (input parameter) at each timestep.

• Storage operating level: \(p_{a,e,n}(t) - c_{a,e,n}(t)\)

Indexing

• The asset index refers to the name of the asset

• The energy index is the energy stored by the asset

• the data_type index refers to the type of data displayed (Consumption, Production, Maximum storage capacity, Available storage capacity, Minimum storage level, Expected bounded supply, Realized bounded supply, Storage operating level)

• The node index of this KPI refers to the node in which the asset consumes

• The technology index refers to the technology type of the asset

• The test case index corresponds the test case of the realization variables and parameters are taken from