4 bug fix PRs

CHANGELOG.md

@@ -23,6 +23,18 @@ Classify the change according to the following categories:
     ### Deprecated
     ### Removed
 
+## Develop - 2024-04-11
+### Fixed 
+- Added `export_rate_beyond_net_metering_limit` to list of inputs to be converted to type Real, to avoid MethodError if type is vector of Any. 
+- Fix blended CRB processing when one or more load types have zero annual energy
+- When calculating CHP fuel intercept and slope, use 1 for the HHV because CHP fuel measured in units of kWh, instead of using non-existent **CHP.fuel_higher_heating_value_kwh_per_gal**
+- Changed instances of indexing using i in 1:length() paradigm to use eachindex() or axes() instead because this is more robust
+- In `src/core/urdb.jl`, ensure values from the "energyweekdayschedule" and "energyweekendschedule" arrays in the URDB response dictionary are converted to _Int_ before being used as indices
+- Handle an array of length 1 for CHP.installed_cost_per_kw which fixes the API using this parameter
+### Changed
+- add **ElectricStorage** input option **soc_min_applies_during_outages** (which defaults to _false_) and only apply the minimum state of charge constraint in function `add_MG_storage_dispatch_constraints` if it is _true_
+- Renamed function `generator_fuel_slope_and_intercept` to `fuel_slope_and_intercept` and generalize to not be specific to diesel measured in units of gal, then use for calculating non diesel fuel slope and intercept too
+
 ## v0.44.0
 ### Added 
 - in `src/settings.jl`, added new const **INDICATOR_COMPATIBLE_SOLVERS**
@@ -40,7 +52,6 @@ Classify the change according to the following categories:
 ## v0.42.0
 ### Changed
 - In `core/pv.jl` a change was made to make sure we are using the same assumptions as PVWatts guidelines, the default `tilt` angle for a fixed array should be 20 degrees, irrespective of it being a rooftop `(1)` or ground-mounted (open-rack)`(2)` system. By default the `tilt` will be set to 20 degrees for ground-mount and rooftop, and 0 degrees for axis-tracking (`array_type = (3) or (4)`)
-
 > "The PVWatts® default value for the tilt angle depends on the array type: For a fixed array, the default value is 20 degrees, and for one-axis tracking the default value is zero. A common rule of thumb for fixed arrays is to set the tilt angle to the latitude of the system's location to maximize the system's total electrical output over the year. Use a lower tilt angle favor peak production in the summer months when the sun is high in the sky, or a higher tilt angle to increase output during winter months. Higher tilt angles tend to cost more for racking and mounting hardware, and may increase the risk of wind damage to the array."
 
 ## v0.41.0
@@ -57,13 +68,11 @@ Classify the change according to the following categories:
     )
 - Changed calculation of all `annual` emissions results (e.g. **Site.annual_emissions_tonnes_CO2**) to simple annual averages (lifecycle emissions divided by analysis_years). This is because the default climate emissions from Cambium are already levelized over the analysis horizon and therefore "year_one" emissions cannot be easily obtained. 
 - Changed name of exported function **emissions_profiles** to **avert_emissions_profiles**
-
 ### Added
 - In `src/REopt.jl` and `src/electric_utility.jl`, added **cambium_emissions_profile** as an export for use via the REopt_API. 
 - In `src/REopt.jl`, added new const **EMISSIONS_DECREASE_DEFAULTS**
 - In `src/results/electric_utility.jl` **cambium_emissions_region**
 - In `test/runtests.jl` and `test/test_with_xpress.jl`, added testset **Cambium Emissions**
-
 ### Fixed 
 - Adjust grid emissions profiles for day of week alignment with load_year.
 - In `test_with_xpress.jl`, updated "Emissions and Renewable Energy Percent" expected values to account for load year adjustment. 
@@ -73,7 +82,6 @@ Classify the change according to the following categories:
 ## v0.40.0
 ### Changed
 - Changed **macrs_bonus_fraction** to from 0.80 to 0.60 (60%) for CHP, ElectricStorage, ColdThermalStorage, HotThermalStorage GHP, PV, Wind
-
 ### Fixed
 - In `reopt.jl`, group objective function incentives (into **ObjectivePenalties**) and avoid directly modifying m[:Costs]. Previously, some of these were incorrectly included in the reported **Financial.lcc**. 
 
@@ -684,7 +692,7 @@ Other changes:
 - handle missing input key for `year_one_soc_series_pct` in `outage_simulator` 
 - remove erroneous `total_unserved_load = 0` output
 - `dvUnservedLoad` definition was allowing microgrid production to storage and curtailment to be double counted towards meeting critical load
-#### Added
+### Added
 - add `unserved_load_per_outage` output
 
 ## v0.4.1
@@ -712,7 +720,7 @@ Other changes:
 ## v0.3.0
 ### Added
 - add separate decision variables and constraints for microgrid tech capacities
-    - new Site input `mg_tech_sizes_equal_grid_sizes` (boolean), when `false` the microgrid tech capacities are constrained to be <= the grid connected tech capacities
+    - new Site input `mg_tech_sizes_equal_grid_sizes` (boolean), when _false_ the microgrid tech capacities are constrained to be <= the grid connected tech capacities
 ### Fixed
 - allow non-integer `outage_probabilities`
 - correct `total_unserved_load` output

src/constraints/chp_constraints.jl

@@ -1,10 +1,11 @@
 # REopt®, Copyright (c) Alliance for Sustainable Energy, LLC. See also https://github.com/NREL/REopt.jl/blob/master/LICENSE.
 function add_chp_fuel_burn_constraints(m, p; _n="")
     # Fuel burn slope and intercept
-    fuel_burn_full_load = 1.0 / p.s.chp.electric_efficiency_full_load  # [kWt/kWe]
-    fuel_burn_half_load = 0.5 / p.s.chp.electric_efficiency_half_load  # [kWt/kWe]
-    fuel_burn_slope = (fuel_burn_full_load - fuel_burn_half_load) / (1.0 - 0.5)  # [kWt/kWe]
-    fuel_burn_intercept = fuel_burn_full_load - fuel_burn_slope * 1.0  # [kWt/kWe_rated]
+    fuel_burn_slope, fuel_burn_intercept = fuel_slope_and_intercept(; 
+        electric_efficiency_full_load = p.s.chp.electric_efficiency_full_load, 
+        electric_efficiency_half_load = p.s.chp.electric_efficiency_half_load, 
+        fuel_higher_heating_value_kwh_per_unit=1
+    )
 
     # Fuel cost
     m[:TotalCHPFuelCosts] = @expression(m, 

src/constraints/generator_constraints.jl

@@ -1,9 +1,9 @@
 # REopt®, Copyright (c) Alliance for Sustainable Energy, LLC. See also https://github.com/NREL/REopt.jl/blob/master/LICENSE.
 function add_fuel_burn_constraints(m,p)
-	fuel_slope_gal_per_kwhe, fuel_intercept_gal_per_hr = generator_fuel_slope_and_intercept(
+	fuel_slope_gal_per_kwhe, fuel_intercept_gal_per_hr = fuel_slope_and_intercept(
 		electric_efficiency_full_load=p.s.generator.electric_efficiency_full_load, 
 		electric_efficiency_half_load=p.s.generator.electric_efficiency_half_load,
-		fuel_higher_heating_value_kwh_per_gal=p.s.generator.fuel_higher_heating_value_kwh_per_gal
+		fuel_higher_heating_value_kwh_per_unit=p.s.generator.fuel_higher_heating_value_kwh_per_gal
 	)
   	@constraint(m, [t in p.techs.gen, ts in p.time_steps],
 		m[:dvFuelUsage][t, ts] == (fuel_slope_gal_per_kwhe * p.s.generator.fuel_higher_heating_value_kwh_per_gal *

src/constraints/outage_constraints.jl

@@ -130,10 +130,10 @@ end
 
 
 function add_MG_Gen_fuel_burn_constraints(m,p)
-	fuel_slope_gal_per_kwhe, fuel_intercept_gal_per_hr = generator_fuel_slope_and_intercept(
+	fuel_slope_gal_per_kwhe, fuel_intercept_gal_per_hr = fuel_slope_and_intercept(
 		electric_efficiency_full_load=p.s.generator.electric_efficiency_full_load, 
 		electric_efficiency_half_load=p.s.generator.electric_efficiency_half_load,
-        fuel_higher_heating_value_kwh_per_gal=p.s.generator.fuel_higher_heating_value_kwh_per_gal
+        fuel_higher_heating_value_kwh_per_unit=p.s.generator.fuel_higher_heating_value_kwh_per_gal
 	)
     # Define dvMGFuelUsed by summing over outage time_steps.
     @constraint(m, [t in p.techs.gen, s in p.s.electric_utility.scenarios, tz in p.s.electric_utility.outage_start_time_steps],
@@ -174,10 +174,11 @@ end
 
 function add_MG_CHP_fuel_burn_constraints(m, p; _n="")
     # Fuel burn slope and intercept
-    fuel_burn_full_load = 1.0 / p.s.chp.electric_efficiency_full_load  # [kWt/kWe]
-    fuel_burn_half_load = 0.5 / p.s.chp.electric_efficiency_half_load  # [kWt/kWe]
-    fuel_burn_slope = (fuel_burn_full_load - fuel_burn_half_load) / (1.0 - 0.5)  # [kWt/kWe]
-    fuel_burn_intercept = fuel_burn_full_load - fuel_burn_slope * 1.0  # [kWt/kWe_rated]
+    fuel_burn_slope, fuel_burn_intercept = fuel_slope_and_intercept(; 
+        electric_efficiency_full_load = p.s.chp.electric_efficiency_full_load, 
+        electric_efficiency_half_load = p.s.chp.electric_efficiency_half_load, 
+        fuel_higher_heating_value_kwh_per_unit=1
+    )
 
     # Conditionally add dvFuelBurnYIntercept if coefficient p.FuelBurnYIntRate is greater than ~zero
     if abs(fuel_burn_intercept) > 1.0E-7
@@ -286,10 +287,12 @@ function add_MG_storage_dispatch_constraints(m,p)
         )
     )
 
-    # Minimum state of charge
-    @constraint(m, [s in p.s.electric_utility.scenarios, tz in p.s.electric_utility.outage_start_time_steps, ts in p.s.electric_utility.outage_time_steps],
-        m[:dvMGStoredEnergy][s, tz, ts] >=  p.s.storage.attr["ElectricStorage"].soc_min_fraction * m[:dvStorageEnergy]["ElectricStorage"]
-    )
+    if p.s.storage.attr["ElectricStorage"].soc_min_applies_during_outages
+        # Minimum state of charge
+        @constraint(m, [s in p.s.electric_utility.scenarios, tz in p.s.electric_utility.outage_start_time_steps, ts in p.s.electric_utility.outage_time_steps],
+            m[:dvMGStoredEnergy][s, tz, ts] >=  p.s.storage.attr["ElectricStorage"].soc_min_fraction * m[:dvStorageEnergy]["ElectricStorage"]
+        )
+    end
 
     # Dispatch to MG electrical storage is no greater than inverter capacity
     # and can't charge the battery unless binMGStorageUsed = 1

src/core/bau_inputs.jl

@@ -322,10 +322,10 @@ function bau_outage_check(critical_loads_kw::AbstractArray, pv_kw_series::Abstra
         if length(pv_kw_series) == 0
             pv_kw_series = zeros(length(critical_loads_kw))
         end
-        fuel_slope_gal_per_kwhe, fuel_intercept_gal_per_hr = generator_fuel_slope_and_intercept(
+        fuel_slope_gal_per_kwhe, fuel_intercept_gal_per_hr = fuel_slope_and_intercept(
             electric_efficiency_full_load=gen.electric_efficiency_full_load, 
             electric_efficiency_half_load=gen.electric_efficiency_half_load,
-            fuel_higher_heating_value_kwh_per_gal=gen.fuel_higher_heating_value_kwh_per_gal
+            fuel_higher_heating_value_kwh_per_unit=gen.fuel_higher_heating_value_kwh_per_gal
         )
             for (i, (load, pv)) in enumerate(zip(critical_loads_kw, pv_kw_series))
             unmet = load - pv

src/core/chp.jl

@@ -181,7 +181,7 @@ function CHP(d::Dict;
         end
     elseif length(chp.installed_cost_per_kw) > 1 && length(chp.installed_cost_per_kw) != length(chp.tech_sizes_for_cost_curve)
         throw(@error("To model CHP cost curve, you must provide `chp.tech_sizes_for_cost_curve` vector of equal length to `chp.installed_cost_per_kw`"))
-    elseif typeof(chp.installed_cost_per_kw) == Vector && length(chp.installed_cost_per_kw) == 1
+    elseif typeof(chp.installed_cost_per_kw) <: Array && length(chp.installed_cost_per_kw) == 1
         chp.installed_cost_per_kw = chp.installed_cost_per_kw[1]
     elseif isempty(chp.tech_sizes_for_cost_curve) && isempty(chp.installed_cost_per_kw)
         update_installed_cost_params = true
@@ -541,4 +541,4 @@ function get_size_class_from_size(chp_elec_size_heuristic_kw, class_bounds, n_cl
         end
     end
     return size_class
-end
+end

src/core/doe_commercial_reference_building_loads.jl

@@ -217,11 +217,13 @@ function blend_and_scale_doe_profiles(
         if length(monthly_energies) == 12
             monthly_scaler = length(blended_doe_reference_names)
         end
-        for idx in 1:length(profiles)
-            profiles[idx] .*= total_kwh / annual_kwhs[idx] / monthly_scaler
+        for idx in eachindex(profiles)
+            if !(annual_kwhs[idx] == 0.0)
+                profiles[idx] .*= total_kwh / annual_kwhs[idx] / monthly_scaler
+            end
         end
     end
-    for idx in 1:length(profiles)  # scale the profiles
+    for idx in eachindex(profiles)  # scale the profiles
         profiles[idx] .*= blended_doe_reference_percents[idx]
     end
     sum(profiles)

src/core/electric_tariff.jl

@@ -324,7 +324,7 @@ function ElectricTariff(;
 
     coincpeak_periods = Int64[]
     if !isempty(coincident_peak_load_charge_per_kw)
-        coincpeak_periods = collect(1:length(coincident_peak_load_charge_per_kw))
+        coincpeak_periods = collect(eachindex(coincident_peak_load_charge_per_kw))
     end
 
     ElectricTariff(

src/core/energy_storage/electric_storage.jl

@@ -144,6 +144,7 @@ end
     inverter_efficiency_fraction::Float64 = 0.96
     rectifier_efficiency_fraction::Float64 = 0.96
     soc_min_fraction::Float64 = 0.2
+    soc_min_applies_during_outages::Bool = false
     soc_init_fraction::Float64 = off_grid_flag ? 1.0 : 0.5
     can_grid_charge::Bool = off_grid_flag ? false : true
     installed_cost_per_kw::Real = 910.0
@@ -176,6 +177,7 @@ Base.@kwdef struct ElectricStorageDefaults
     inverter_efficiency_fraction::Float64 = 0.96
     rectifier_efficiency_fraction::Float64 = 0.96
     soc_min_fraction::Float64 = 0.2
+    soc_min_applies_during_outages::Bool = false
     soc_init_fraction::Float64 = off_grid_flag ? 1.0 : 0.5
     can_grid_charge::Bool = off_grid_flag ? false : true
     installed_cost_per_kw::Real = 910.0
@@ -214,6 +216,7 @@ struct ElectricStorage <: AbstractElectricStorage
     inverter_efficiency_fraction::Float64
     rectifier_efficiency_fraction::Float64
     soc_min_fraction::Float64
+    soc_min_applies_during_outages::Bool
     soc_init_fraction::Float64
     can_grid_charge::Bool
     installed_cost_per_kw::Real
@@ -301,6 +304,7 @@ struct ElectricStorage <: AbstractElectricStorage
             s.inverter_efficiency_fraction,
             s.rectifier_efficiency_fraction,
             s.soc_min_fraction,
+            s.soc_min_applies_during_outages,
             s.soc_init_fraction,
             s.can_grid_charge,
             s.installed_cost_per_kw,

src/core/urdb.jl

@@ -263,9 +263,9 @@ function parse_urdb_energy_costs(d::Dict, year::Int; time_steps_per_hour=1, bigM
 
                     # NOTE: periods are zero indexed
                     if dayofweek(Date(year, month, day)) < 6  # Monday == 1
-                        period = d["energyweekdayschedule"][month][hour] + 1
+                        period = Int(d["energyweekdayschedule"][month][hour] + 1)
                     else
-                        period = d["energyweekendschedule"][month][hour] + 1
+                        period = Int(d["energyweekendschedule"][month][hour] + 1)
                     end
                     # workaround for cases where there are different numbers of tiers in periods
                     n_tiers_in_period = length(d["energyratestructure"][period])
@@ -302,7 +302,7 @@ Convert an unexpected type::Matrix from URDB into an Array
     - Observed while using REopt.jl with PyJulia/PyCall
 """
 function convert_matrix_to_array(M::AbstractMatrix)
-    return [M[r,:] for r in 1:size(M,1)]
+    return [M[r,:] for r in axes(M, 1)]
 end
 
 """

src/core/utils.jl

@@ -208,7 +208,7 @@ function dictkeys_tosymbols(d::Dict)
             end
         end
         if k in [
-            "fuel_cost_per_mmbtu", "wholesale_rate",
+            "fuel_cost_per_mmbtu", "wholesale_rate", "export_rate_beyond_net_metering_limit",
             # for ERP
             "generator_size_kw", "generator_operational_availability",
             "generator_failure_to_start", "generator_mean_time_to_failure",
@@ -480,29 +480,29 @@ function get_monthly_time_steps(year::Int; time_steps_per_hour=1)
 end
 
 """
-generator_fuel_slope_and_intercept(;
+fuel_slope_and_intercept(;
                 electric_efficiency_full_load::Real, [kWhe/kWht]
                 electric_efficiency_half_load::Real, [kWhe/kWht]
-                fuel_higher_heating_value_kwh_per_gal::Real
+                fuel_higher_heating_value_kwh_per_unit::Real
             )
 
 return Tuple{<:Real,<:Real} where 
-    first value is diesel fuel burn slope [gal/kWhe]
-    secnod value is diesel fuel burn intercept [gal/hr]
+    first value is fuel burn slope [<fuel unit>/kWhe]
+    second value is fuel burn intercept [<fuel unit>/hr]
 """
-function generator_fuel_slope_and_intercept(;
+function fuel_slope_and_intercept(;
                         electric_efficiency_full_load::Real, 
                         electric_efficiency_half_load::Real,
-                        fuel_higher_heating_value_kwh_per_gal::Real
+                        fuel_higher_heating_value_kwh_per_unit::Real
                     )
     fuel_burn_full_load_kwht = 1.0 / electric_efficiency_full_load  # [kWe_rated/(kWhe/kWht)]
     fuel_burn_half_load_kwht = 0.5 / electric_efficiency_half_load  # [kWe_rated/(kWhe/kWht)]
     fuel_slope_kwht_per_kwhe = (fuel_burn_full_load_kwht - fuel_burn_half_load_kwht) / (1.0 - 0.5)  # [kWht/kWhe]
     fuel_intercept_kwht_per_hr = fuel_burn_full_load_kwht - fuel_slope_kwht_per_kwhe * 1.0  # [kWht/hr]
-    fuel_slope_gal_per_kwhe = fuel_slope_kwht_per_kwhe / fuel_higher_heating_value_kwh_per_gal # [gal/kWhe]
-    fuel_intercept_gal_per_hr = fuel_intercept_kwht_per_hr / fuel_higher_heating_value_kwh_per_gal # [gal/hr]
+    fuel_slope_unit_per_kwhe = fuel_slope_kwht_per_kwhe / fuel_higher_heating_value_kwh_per_unit # [<fuel unit>/kWhe]
+    fuel_intercept_unit_per_hr = fuel_intercept_kwht_per_hr / fuel_higher_heating_value_kwh_per_unit # [<fuel unit>/hr]
 
-    return fuel_slope_gal_per_kwhe, fuel_intercept_gal_per_hr
+    return fuel_slope_unit_per_kwhe, fuel_intercept_unit_per_hr
 end
 
 function convert_temp_degF_to_Kelvin(degF::Float64)

src/mpc/structs.jl

@@ -148,7 +148,7 @@ function MPCElectricTariff(d::Dict)
     energy_rates = d["energy_rates"]
 
     monthly_demand_rates = get(d, "monthly_demand_rates", [0.0])
-    time_steps_monthly = get(d, "time_steps_monthly", [collect(1:length(energy_rates))])
+    time_steps_monthly = get(d, "time_steps_monthly", [collect(eachindex(energy_rates))])
     monthly_previous_peak_demands = get(d, "monthly_previous_peak_demands", [0.0])
 
     tou_demand_rates = get(d, "tou_demand_rates", Float64[])

src/outagesim/backup_reliability.jl

@@ -295,7 +295,7 @@ gen_battery_prob_matrix
 function shift_gen_battery_prob_matrix!(gen_battery_prob_matrix::Matrix, shift_vector::Vector{Int})
     M = size(gen_battery_prob_matrix, 1)
 
-    for i in 1:length(shift_vector) 
+    for i in eachindex(shift_vector) 
         s = shift_vector[i]
         if s < 0 
             #TODO figure out why implementation of cirshift! is working locally but not on server
@@ -787,20 +787,20 @@ function backup_reliability_reopt_inputs(;d::Dict, p::REoptInputs, r::Dict = Dic
         end
         r2[:generator_size_kw] = replace!([diesel_kw + prime_kw] ./ r2[:num_generators], Inf => 0) # at least one gen kw will be 0 because of error thrown above
         if diesel_kw > 0
-            fuel_slope, fuel_intercept = generator_fuel_slope_and_intercept(
+            fuel_slope, fuel_intercept = fuel_slope_and_intercept(
                 electric_efficiency_full_load=p.s.generator.electric_efficiency_full_load, 
                 electric_efficiency_half_load=p.s.generator.electric_efficiency_half_load,
-                fuel_higher_heating_value_kwh_per_gal=p.s.generator.fuel_higher_heating_value_kwh_per_gal
+                fuel_higher_heating_value_kwh_per_unit=p.s.generator.fuel_higher_heating_value_kwh_per_gal
 	        )
             r2[:generator_fuel_burn_rate_per_kwh] = [fuel_slope]
             r2[:generator_fuel_intercept_per_hr] = [fuel_intercept]
             r2[:fuel_limit] = [p.s.generator.fuel_avail_gal]
         end
         if prime_kw > 0
-            fuel_slope, fuel_intercept = generator_fuel_slope_and_intercept(
+            fuel_slope, fuel_intercept = fuel_slope_and_intercept(
                 electric_efficiency_full_load=p.s.chp.electric_efficiency_full_load, 
                 electric_efficiency_half_load=p.s.chp.electric_efficiency_half_load,
-                fuel_higher_heating_value_kwh_per_gal=p.s.chp.fuel_higher_heating_value_kwh_per_gal
+                fuel_higher_heating_value_kwh_per_unit=1
 	        )
             r2[:generator_fuel_burn_rate_per_kwh] = [fuel_slope]
             r2[:generator_fuel_intercept_per_hr] = [fuel_intercept]