Change lower bound and test value (#876)

src/constraints/capacity.jl

@@ -9,6 +9,9 @@ Adds the capacity constraints for all asset types to the model
 function add_capacity_constraints!(
     model,
     graph,
+    Ap,
+    Acv,
+    As,
     dataframes,
     df_flows,
     flow,
@@ -289,9 +292,12 @@ function add_capacity_constraints!(
         incoming_flow_highest_in_resolution[row.index] != 0
     ]
 
-    # - Lower limit for flows that are not transport assets
+    # - Lower limit for flows associated with assets
+    assets_with_non_negative_outgoing_flows = Ap ∪ Acv ∪ As
+    assets_with_non_negative_incoming_flows = Acv ∪ As
     for row in eachrow(df_flows)
-        if !graph[row.from, row.to].is_transport
+        if row.from in assets_with_non_negative_outgoing_flows ||
+           row.to in assets_with_non_negative_incoming_flows
             JuMP.set_lower_bound(flow[row.index], 0.0)
         end
     end

src/create-model.jl

@@ -1354,6 +1354,9 @@ function create_model(
     @timeit to "add_capacity_constraints!" add_capacity_constraints!(
         model,
         graph,
+        Ap,
+        Acv,
+        As,
         dataframes,
         df_flows,
         flow,

test/runtests.jl

@@ -19,6 +19,8 @@ if !isdir(OUTPUT_FOLDER)
     mkdir(OUTPUT_FOLDER)
 end
 
+include("utils.jl")
+
 #=
 Don't add your tests to runtests.jl. Instead, create files named
 

test/test-case-studies.jl

@@ -76,7 +76,7 @@ end
         connection;
         model_parameters_file = joinpath(@__DIR__, "inputs", "model-parameters-example.toml"),
     )
-    @test energy_problem.objective_value ≈ 1844506.781181 atol = 1e-5
+    @test energy_problem.objective_value ≈ 2318866.768000 atol = 1e-5
 end
 
 @testset "Infeasible Case Study" begin