Combustion node
Combustion
nodes are a variant of NetworkNode
s that model fuel-based conversion processes where input energy is either transformed into useful outputs or lost as residual heat. The node enforces a complete energy balance, with residual losses explicitly accounted for using a designated heat_res
output.
Use this node when modeling combustion or transformation technologies where energy losses are explicit (e.g., boilers, engines, incinerators). It is especially valuable for modeling thermodynamic efficiencies or waste heat utilization.
Introduced type and its fields
The Combustion
node is similar to LimitedFlexibleInput
, but includes an additional energy conservation constraint. It uses a dedicated resource (heat_res
) to capture residual or waste heat.
Standard fields
The standard fields are given as:
id
:
The fieldid
is only used for providing a name to the node.cap::TimeProfile
:
The installed capacity corresponds to the nominal capacity of the node.
If the node should contain investments through the application ofEnergyModelsInvestments
, it is important to note that you can only useFixedProfile
orStrategicProfile
for the capacity, but notRepresentativeProfile
orOperationalProfile
. In addition, all values have to be non-negative.opex_var::TimeProfile
:
The variable operational expenses are based on the capacity utilization through the variable:cap_use
. Hence, it is directly related to the specifiedinput
andoutput
ratios. The variable operating expenses can be provided asOperationalProfile
as well.opex_fixed::TimeProfile
:
The fixed operating expenses are relative to the installed capacity (through the fieldcap
) and the chosen duration of an investment period as outlined on UtilizeTimeStruct
.
It is important to note that you can only useFixedProfile
orStrategicProfile
for the fixed OPEX, but notRepresentativeProfile
orOperationalProfile
. In addition, all values have to be non-negative.input::Dict{<:Resource,<:Real}
andoutput::Dict{<:Resource,<:Real}
:
Both fields describe theinput
andoutput
Resource
s with their corresponding conversion factors as dictionaries.
CO₂ cannot be directly specified, i.e., you cannot specify a ratio. If you useCaptureData
, it is however necessary to specify CO₂ as output, although the ratio is not important.
All values have to be non-negative.data::Vector{<:Data}
:
An entry for providing additional data to the model. In the current version, it is used for both providingEmissionsData
and additional investment data whenEnergyModelsInvestments
is used.Constructor for `Combustion` The field
data
is not required as we include a constructor when the value is excluded.Using `CaptureData` If you plan to use
CaptureData
for aCombustion
node, it is crucial that you specify your CO₂ resource in theoutput
dictionary. The chosen value is however not important as the CO₂ flow is automatically calculated based on the process utilization and the provided process emission value. The reason for this necessity is that flow variables are declared through the keys of theoutput
dictionary. Hence, not specifying CO₂ asoutput
resource results in not creating the corresponding flow variable and subsequent problems in the design.We plan to remove this necessity in the future. As it would most likely correspond to breaking changes, we have to be careful to avoid requiring major changes in other packages.
Additional fields
Combustion
nodes add two additional fields compared to a NetworkNode
:
limit::Dict{<:Resource,<:Real}
:
A dictionary specifying the maximum share that each input resource may contribute to total inflow. All values should be in the range $[0, 1]$.Resource
s which are specified in theinput
dictionary, but not in thelimit
dictionary will be treated as unconstrained. This corresponds to a value of $1$ in thelimit
dictionary.heat_res::Resource
:
The residual heat or loss resource used to close the energy balance. This resource must be in theoutput
dictionary. The residual output defined byheat_res
is not necessarily "useful" energy — it serves to account for efficiency losses or heat rejection in the energy balance.
Mathematical description
The Combustion
node enforces a mass/energy balance including residual energy loss. It also supports input blending restrictions using the limit
dictionary, just like LimitedFlexibleInput
.
Variables
The node uses the same variables as a standard NetworkNode
:
- $\texttt{opex\_var}$
- $\texttt{opex\_fixed}$
- $\texttt{cap\_use}$
- $\texttt{cap\_inst}$
- $\texttt{flow\_in}$
- $\texttt{flow\_out}$
- $\texttt{emissions\_node}$ if
EmissionsData
is added to the fielddata
Constraints
The following sections omit the direct inclusion of the vector of Combustion
nodes. Instead, it is implicitly assumed that the constraints are valid $\forall n ∈ N$ for all Combustion
types if not stated differently. In addition, all constraints are valid $\forall t \in T$ (that is in all operational periods) or $\forall t_{inv} \in T^{Inv}$ (that is in all investment periods).
Standard constraints
Combustion
utilize in general the standard constraints that are implemented for a NetworkNode
node as described in the documentation of EnergyModelsBase
. These standard constraints are:
constraints_capacity
:\[\texttt{cap\_use}[n, t] \leq \texttt{cap\_inst}[n, t]\]
constraints_capacity_installed
:\[\texttt{cap\_inst}[n, t] = capacity(n, t)\]
Using investments The function
constraints_capacity_installed
is also used inEnergyModelsInvestments
to incorporate the potential for investment. Nodes with investments are then no longer constrained by the parameter capacity.constraints_opex_fixed
:\[\texttt{opex\_fixed}[n, t_{inv}] = opex\_fixed(n, t_{inv}) \times \texttt{cap\_inst}[n, first(t_{inv})]\]
Why do we use `first()` The variable $\texttt{cap\_inst}$ is declared over all operational periods (see the section on Capacity variables for further explanations). Hence, we use the function $first(t_{inv})$ to retrieve the installed capacity in the first operational period of a given investment period $t_{inv}$ in the function
constraints_opex_fixed
.constraints_opex_var
:\[\texttt{opex\_var}[n, t_{inv}] = \sum_{t \in t_{inv}} opex\_var(n, t) \times \texttt{cap\_use}[n, t] \times scale\_op\_sp(t_{inv}, t)\]
The function `scale_op_sp` The function $scale\_op\_sp(t_{inv}, t)$ calculates the scaling factor between operational and investment periods. It also takes into account potential operational scenarios and their probability as well as representative periods.
constraints_data
:
This function is only called for specified data of the nodes, see above.
The functions constraints_flow_in
and constraints_flow_out
receive new methods to handle, respectively, the input and output flow constraints:
constraints_flow_in
Input energy balance (normalized by efficiency):
\[\sum_{p \in P^{in}} \frac{\texttt{flow\_in}[n, t, p]}{inputs(n, p)} = \texttt{cap\_use}[n, t]\]
Input share limit:
\[\texttt{flow\_in}[n, t, p] \leq \left(\sum_{q \in P^{in}} \texttt{flow\_in}[n, t, q]\right) \times limits(n, p)\]
Energy balance including residual heat:
\[\sum_{p \in P^{in}} \texttt{flow\_in}[n, t, p] = \texttt{cap\_use}[n, t] + \frac{\texttt{flow\_out}[n, t, heat\_res]}{outputs(n, heat\_res)}\]
This ensures that total energy input equals the sum of useful output and waste heat output.
constraints_flow_out
Standard output constraint (for non-residual outputs):
\[\texttt{flow\_out}[n, t, p] = \texttt{cap\_use}[n, t] \times outputs(n, p) \qquad \forall p \in outputs(n) \setminus \{heat\_res, CO_2\}\]