Storage view (MW)#

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 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”.
Expected bounded supply: this stands for the expected external energy supply to the storage. For an hydraulic dam for instance, this corresponds to the water inputs from upstream rivers but it doesn’t include any pumping operations from downstream rivers.
Realized bounded supply: this stands for the realized external energy supply to the storage. Once again, for the hydraulic dam, some of the water from upstream rivers can be diverted so that it is not stored in the dam if it is too full and it cannot be emptied . In this case the realized bounded supply is inferior to the expected one: this is an optimization result.
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. Let \(x_{a, n, e, data\_type}\) be the timeseries returned by this KPI for a given \(data\_type\), each possible data type is computed as follows :

Consumption (charge)#

The KPI value labelled with a Consumption index is directly the optimized consumption variables associated to an asset.

\[x_{a,e,n, Consumption}(t) = c_{a,e,n}(t)\]

Production (discharge)#

The KPI value labelled with a Production index is directly the optimized production variables associated to an asset.

\[x_{a,e,n, Production}(t) = p_{a,e,n}(t)\]

Maximum storage capacity#

\[x_{a,e,n, Maximum \text{ } storage \text{ } capacity}(t) = s\_max_a\]

With \(s\_max_a\) refers to the storage capacity of asset \(a\). See Energy storage capacities for more details on how storage capacities are computed.

Available storage capacity#

\[x_{a,e,n, Available \text{ } storage \text{ }capacity}(t) = s\_max_a.av_a^s(t)\]

With \(av_a^s(t)\) the storage availability of asset \(a\).

Minimum storage level#

\[x_{a,e,n, Minimum \text{ } storage \text{ } level}(t) = s\_max_a.s\_min_a(t)\]

Where \(s\_min_a(t)\) refers to the min storage level (%) (input parameter) of asset \(a\).

Expected bounded supply#

\[x_{a,e,n, Expected \text{ } bounded \text{ } supply}(t) = b\_exp_a.(t)\]

Where \(b\_exp_a(t)\) refers to the expected bounded supply (MW) (input parameter) of asset \(a\).

Realized bounded supply#

\[x_{a,e,n, Realized \text{ } bounded \text{ } supply}(t) = b\_real_a.(t)\]

Where \(b\_real_a.(t)\) refers to the realized bounded supply (MW) (raw optimization result) of asset \(a\).

Storage operating level#

The KPI value labelled with a Storage operating level refers to the energy production of an asset netted of its consumption.

\[x_{a,e,n, Storage \text{ } operating \text{ } level}(t) = p_{a,e,n}(t) - c_{a,e,n}(t)\]

Global variables and parameters notations definitions can be consulted here.

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 from which the asset consumes the energy it stores.
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