Version increase for registration

NEWS.md

@@ -1,6 +1,6 @@
 # Release notes
 
-## Unversioned
+## Version 0.11.3 (2025-11-26)
 
 * Use the new concepts for data variables introduced in [`EnergyModelsBase` v0.9.1](https://github.com/EnergyModelsX/EnergyModelsBase.jl/releases/tag/v0.9.1).
 * Reworked the examples to be simpler to understand.

Project.toml

@@ -1,7 +1,7 @@
 name = "EnergyModelsGeography"
 uuid = "3f775d88-a4da-46c4-a2cc-aa9f16db6708"
 authors = ["Espen Flo Bødal <Espen.Bodal@sintef.no>"]
-version = "0.11.2"
+version = "0.11.3"
 
 [deps]
 EnergyModelsBase = "5d7e687e-f956-46f3-9045-6f5a5fd49f50"

docs/src/area_mode/mode.md

@@ -26,7 +26,7 @@ TransmissionMode
 ```
 
 The individual modes use in general the same constraint functions and have the same fields with minor variations.
-Hence, all nodes with be presented below.
+Hence, all transmission modes will be presented below.
 
 The fields of the types are given as:
 
@@ -83,13 +83,10 @@ The types [`RefStatic`](@ref) and [`RefDynamic`](@ref) have furthermore the foll
 - **`directions::Int`**:\
   The direction value decides whether only unidirectional (1) or bidirectional (2) transport is allowed for the transmission mode.
 
-Theoretically, both [`PipeSimple`](@ref) and [`PipeLinepackSimple`](@ref) include the field `directions`.
-However, it is automatically set to 1 through the application of an *[inner constructor](https://docs.julialang.org/en/v1/manual/constructors/#man-inner-constructor-methods)*.
-
 !!! tip "Order of the fields"
     The order of the individual fields can be best found in the library, [`RefStatic`](@ref), [`RefDynamic`](@ref), [`PipeSimple`](@ref), and [`PipeLinepackSimple`](@ref).
 
-## [Mathematical description](@id nodes-trans_mode-math)
+## [Mathematical description](@id area_mode-trans_mode-math)
 
 In the following mathematical equations, we use the name for variables and functions used in the model.
 Variables are in general represented as
@@ -102,7 +99,7 @@ with square brackets, while functions are represented as
 
 with paranthesis.
 
-### [Variables](@id nodes-trans_mode-math-var)
+### [Variables](@id area_mode-trans_mode-math-var)
 
 The variables of all transmission modes are described on *[optimization variables](@ref man-opt_var-transmission_mode)* and include:
 
@@ -123,7 +120,7 @@ Bidirectional transmission modes include furthermore:
 - ``\texttt{trans\_neg}``
 - ``\texttt{trans\_pos}``
 
-### [Constraints](@id nodes-trans_mode-math-con)
+### [Constraints](@id area_mode-trans_mode-math-con)
 
 A qualitative overview of the individual constraints can be found on *[Constraint functions](@ref man-con)*.
 This section focuses instead on the mathematical description of the individual constraints.

examples/investments.jl

@@ -38,7 +38,7 @@ capacity.
 function generate_example_network_investment()
     @info "Generate case data - Simple geographic example with investments"
 
-    # Define the different resources and their emission intensity in tCO2/MWh
+    # Define the different resources and their emission intensity in t CO₂/MWh
     ng = ResourceCarrier("NG", 0.2)
     coal = ResourceCarrier("Coal", 0.35)
     power = ResourceCarrier("Power", 0.0)
@@ -85,7 +85,7 @@ function generate_example_network_investment()
             Dict(coal => 2.5),          # Input to the node with input ratio
             Dict(power => 1),           # Output from the node with output ratio
             [EmissionsEnergy()],        # Additional data for emissions
-            # Line above: `EmissionsEnergy` imply that the emissions data corresponds to
+            # Line above: `EmissionsEnergy` implies that the emissions data corresponds to
             # emissions through fuel usage as calculated by the CO₂ intensity and efficiency.
         ),
         RefStorage{AccumulatingEmissions}(
@@ -150,7 +150,7 @@ function generate_example_network_investment()
             # Line above: `co2` is required as output for variable definition, but the
             # value does not matter as it is not utilized in the model.
             [CaptureEnergyEmissions(0.9)],  # Additional data for emissions and CO₂ capture
-            # Line above: `CaptureEnergyEmissions` imply that the emissions data corresponds
+            # Line above: `CaptureEnergyEmissions` implies that the emissions data corresponds
             # to emissions through fuel usage as calculated by the CO₂ intensity and efficiency.
             # 90 % of the CO₂ emissions are captured as given by the value 0.9.
         ),

examples/network.jl

@@ -32,7 +32,7 @@ electricity is delivered.
 function generate_example_network()
     @info "Generate case data - Simple geographic example"
 
-    # Define the different resources and their emission intensity in tCO2/MWh
+    # Define the different resources and their emission intensity in t CO₂/MWh
     ng = ResourceCarrier("NG", 0.2)
     coal = ResourceCarrier("Coal", 0.35)
     power = ResourceCarrier("Power", 0.0)
@@ -78,7 +78,7 @@ function generate_example_network()
             Dict(coal => 2.5),          # Input to the node with input ratio
             Dict(power => 1),           # Output from the node with output ratio
             [EmissionsEnergy()],        # Additional data for emissions
-            # Line above: `EmissionsEnergy` imply that the emissions data corresponds to
+            # Line above: `EmissionsEnergy` implies that the emissions data corresponds to
             # emissions through fuel usage as calculated by the CO₂ intensity and efficiency.
         ),
         RefStorage{AccumulatingEmissions}(
@@ -143,7 +143,7 @@ function generate_example_network()
             # Line above: `co2` is required as output for variable definition, but the
             # value does not matter as it is not utilized in the model.
             [CaptureEnergyEmissions(0.9)],  # Additional data for emissions and CO₂ capture
-            # Line above: `CaptureEnergyEmissions` imply that the emissions data corresponds
+            # Line above: `CaptureEnergyEmissions` implies that the emissions data corresponds
             # to emissions through fuel usage as calculated by the CO₂ intensity and efficiency.
             # 90 % of the CO₂ emissions are captured as given by the value 0.9.
         ),