Panels TEA Run - DO NOT MERGE

measures/BuildExistingModel/measure.rb

@@ -695,6 +695,161 @@ def run(model, runner, user_arguments)
       return false
     end
 
+    #report sechedule
+    require 'csv'
+    schedule_csv_file_path = measures['BuildResidentialScheduleFile'][0]['output_csv_path']
+
+    # calculate the time that each value represent in hour
+    if File.exist?(schedule_csv_file_path)
+      @tmp_schedules = CSV.table(schedule_csv_file_path)
+      hour_each_value = 8760.0 / @tmp_schedules.length
+
+      cooking_range_max_value = nil
+      cooking_range_full_load_operation = 0
+      cooking_range_operation = 0
+      cooking_range_event_num = 0
+
+      dishwasher_max_value = nil
+      dishwasher_full_load_operation = 0
+      dishwasher_operation = 0
+      dishwasher_event_num = 0
+
+      clothes_washer_max_value = nil
+      clothes_washer_full_load_operation = 0
+      clothes_washer_operation = 0
+      clothes_washer_event_num = 0
+
+      clothes_dryer_max_value = nil
+      clothes_dryer_full_load_operation = 0
+      clothes_dryer_operation = 0
+      clothes_dryer_event_num = 0
+
+      #peak power
+      CSV.foreach(schedule_csv_file_path, headers: true) do |row|
+        cooking_range_column_value = row['cooking_range'].to_f
+        dishwasher_column_value = row['dishwasher'].to_f
+        clothes_washer_column_value = row['clothes_washer'].to_f
+        clothes_dryer_column_value = row['clothes_dryer'].to_f
+
+        if cooking_range_max_value.nil? || cooking_range_column_value > cooking_range_max_value
+          cooking_range_max_value = cooking_range_column_value
+        end
+
+        if dishwasher_max_value.nil? || dishwasher_column_value > dishwasher_max_value
+          dishwasher_max_value = dishwasher_column_value
+        end
+
+        if clothes_washer_max_value.nil? || clothes_washer_column_value > clothes_washer_max_value
+          clothes_washer_max_value = clothes_washer_column_value
+        end
+
+        if clothes_dryer_max_value.nil? || clothes_dryer_column_value > clothes_dryer_max_value
+          clothes_dryer_max_value = clothes_dryer_column_value
+        end
+      end
+
+      #number of events and operation hour
+      cooking_range_previous_row_value = nil
+      dishwasher_previous_row_value = nil
+      clothes_washer_previous_row_value = nil
+      clothes_dryer_previous_row_value = nil
+      CSV.foreach(schedule_csv_file_path, headers: true) do |row|
+        cooking_range_column_value = row['cooking_range'].to_f
+        dishwasher_column_value = row['dishwasher'].to_f
+        clothes_washer_column_value = row['clothes_washer'].to_f
+        clothes_dryer_column_value = row['clothes_dryer'].to_f
+
+        if cooking_range_previous_row_value.nil? 
+          cooking_range_previous_row_value = cooking_range_column_value
+        else
+          if cooking_range_previous_row_value == 0 && cooking_range_column_value > 0
+            cooking_range_event_num += 1
+          end
+        end
+        cooking_range_previous_row_value = cooking_range_column_value
+        if cooking_range_column_value == cooking_range_max_value
+          cooking_range_full_load_operation += 1
+        end
+        if cooking_range_column_value > 0
+          cooking_range_operation += 1
+        end
+
+        if dishwasher_previous_row_value.nil? 
+          dishwasher_previous_row_value = dishwasher_column_value
+        else
+          if dishwasher_previous_row_value == 0 && dishwasher_column_value > 0
+            dishwasher_event_num += 1
+          end
+        end
+        dishwasher_previous_row_value = dishwasher_column_value
+        if dishwasher_column_value == dishwasher_max_value
+          dishwasher_full_load_operation += 1
+        end
+        if dishwasher_column_value > 0
+          dishwasher_operation += 1
+        end
+
+        if clothes_washer_previous_row_value.nil? 
+          clothes_washer_previous_row_value = clothes_washer_column_value
+        else
+          if clothes_washer_previous_row_value == 0 && clothes_washer_column_value > 0
+            clothes_washer_event_num += 1
+          end
+        end
+        clothes_washer_previous_row_value = clothes_washer_column_value
+        if clothes_washer_column_value == clothes_washer_max_value
+          clothes_washer_full_load_operation += 1
+        end
+        if clothes_washer_column_value > 0
+          clothes_washer_operation += 1
+        end
+
+        if clothes_dryer_previous_row_value.nil? 
+          clothes_dryer_previous_row_value = clothes_dryer_column_value
+        else
+          if clothes_dryer_previous_row_value == 0 && clothes_dryer_column_value > 0
+            clothes_dryer_event_num += 1
+          end
+        end
+        clothes_dryer_previous_row_value = clothes_dryer_column_value
+        if clothes_dryer_column_value == clothes_dryer_max_value
+          clothes_dryer_full_load_operation += 1
+        end
+        if clothes_dryer_column_value > 0
+          clothes_dryer_operation += 1
+        end
+      end
+
+      #register outputs
+      cooking_range_full_load_operation_hour = (cooking_range_full_load_operation * hour_each_value).to_s
+      cooking_range_operation_hour = (cooking_range_operation * hour_each_value).to_s
+      cooking_range_event_num = (cooking_range_event_num).to_s
+      register_value(runner, 'cooking_range_full_load_operation_hour', cooking_range_full_load_operation_hour)
+      register_value(runner, 'cooking_range_operation_hour', cooking_range_operation_hour)
+      register_value(runner, 'cooking_range_event_num', cooking_range_event_num)
+
+      dishwasher_full_load_operation_hour = (dishwasher_full_load_operation * hour_each_value).to_s
+      dishwasher_operation_hour = (dishwasher_operation * hour_each_value).to_s
+      dishwasher_event_num = (dishwasher_event_num).to_s
+      register_value(runner, 'dishwaser_full_load_operation_hour', dishwasher_full_load_operation_hour)
+      register_value(runner, 'dishwasher_operation_hour', dishwasher_operation_hour)
+      register_value(runner, 'dishwasher_event_num', dishwasher_event_num)
+
+      clothes_washer_full_load_operation_hour = (clothes_washer_full_load_operation * hour_each_value).to_s
+      clothes_washer_operation_hour = (clothes_washer_operation * hour_each_value).to_s
+      clothes_washer_event_num = (clothes_washer_event_num).to_s
+      register_value(runner, 'clothes_washer_full_load_operation_hour', clothes_washer_full_load_operation_hour)
+      register_value(runner, 'clothes_washer_operation_hour', clothes_washer_operation_hour)
+      register_value(runner, 'clothes_washer_event_num', clothes_washer_event_num)
+
+      clothes_dryer_full_load_operation_hour = (clothes_dryer_full_load_operation * hour_each_value).to_s
+      clothes_dryer_operation_hour = (clothes_dryer_operation * hour_each_value).to_s
+      clothes_dryer_event_num = (clothes_dryer_event_num).to_s
+      register_value(runner, 'clothes_dryer_full_load_operation_hour', clothes_dryer_full_load_operation_hour)
+      register_value(runner, 'clothes_dryer_operation_hour', clothes_dryer_operation_hour)
+      register_value(runner, 'clothes_dryer_event_num', clothes_dryer_event_num)
+    end
+
     # Copy existing.xml to home.xml for downstream HPXMLtoOpenStudio
     # We need existing.xml (and not just home.xml) for UpgradeCosts
     in_path = File.expand_path('../home.xml')

project_national/housing_characteristics/Clothes Dryer Usage Level.tsv

@@ -1,8 +1,8 @@
 Dependency=Usage Level	Option=80% Usage	Option=100% Usage	Option=120% Usage	sampling_probability
 Average	0	1	0	0
 Medium	0	1	0	0.5
-Low	1	0	0	0.25
-High	0	0	1	0.25
+Low	0	1	0	0.25
+High	0	1	0	0.25
 # Created by: sources\other\tsv_maker.py
 # Description: Clothes dryer energy usage level multiplier.
 # Source: n/a

project_national/housing_characteristics/Clothes Washer Usage Level.tsv

@@ -1,8 +1,8 @@
 Dependency=Usage Level	Option=80% Usage	Option=100% Usage	Option=120% Usage	sampling_probability
 Average	0	1	0	0
 Medium	0	1	0	0.5
-Low	1	0	0	0.25
-High	0	0	1	0.25
+Low	0	1	0	0.25
+High	0	1	0	0.25
 # Created by: sources\other\tsv_maker.py
 # Description: Clothes washer energy usage level multiplier.
 # Source: n/a

project_national/housing_characteristics/Cooking Range Usage Level.tsv

@@ -1,8 +1,8 @@
 Dependency=Usage Level	Option=80% Usage	Option=100% Usage	Option=120% Usage	sampling_probability
 Average	0	1	0	0
 Medium	0	1	0	0.5
-Low	1	0	0	0.25
-High	0	0	1	0.25
+Low	0	1	0	0.25
+High	0	1	0	0.25
 # Created by: sources\other\tsv_maker.py
 # Description: Cooling range energy usage level multiplier.
 # Source: n/a

project_national/housing_characteristics/Dishwasher Usage Level.tsv

@@ -1,8 +1,8 @@
 Dependency=Usage Level	Option=80% Usage	Option=100% Usage	Option=120% Usage	sampling_probability
 Average	0	1	0	0
 Medium	0	1	0	0.5
-Low	1	0	0	0.25
-High	0	0	1	0.25
+Low	0	1	0	0.25
+High	0	1	0	0.25
 # Created by: sources\other\tsv_maker.py
 # Description: Dishwasher energy usage level multiplier.
 # Source: n/a

project_national/national_baseline.yml

@@ -3,36 +3,36 @@ os_version: 3.7.0
 os_sha: d5269793f1
 buildstock_directory: ../ # Relative to this file or absolute
 project_directory: project_national # Relative to buildstock_directory
-output_directory: national_baseline
-weather_files_url: https://data.nrel.gov/system/files/156/Buildstock_TMY3_FIPS-1678817889.zip
-# weather_files_path: c:/OpenStudio/BuildStock_TMY3_FIPS.zip
+output_directory: /kfs2/projects/panels/schedule_based_appliance/test_run20231221
+#weather_files_url: https://data.nrel.gov/system/files/156/Buildstock_TMY3_FIPS-1678817889.zip
+weather_files_path: /kfs2/shared-projects/buildstock/weather/BuildStock_TMY3_FIPS.zip
 
 sampler:
-  type: residential_quota
+  type: precomputed
   args:
-    n_datapoints: 250
+    sample_file: /kfs2/projects/panels/schedule_based_appliance/buildstock_550K.csv
 
 workflow_generator:
   type: residential_hpxml
   args:
     build_existing_model:
-      simulation_control_timestep: 60
+      simulation_control_timestep: 15
       simulation_control_run_period_begin_month: 1
       simulation_control_run_period_begin_day_of_month: 1
       simulation_control_run_period_end_month: 12
       simulation_control_run_period_end_day_of_month: 31
       simulation_control_run_period_calendar_year: 2007
 
-    emissions:
-      - scenario_name: LRMER_MidCase_15
-        type: CO2e
-        elec_folder: data/cambium/2022/LRMER_MidCase_15
+    #emissions:
+      #- scenario_name: LRMER_MidCase_15
+      #  type: CO2e
+      #  elec_folder: data/cambium/2022/LRMER_MidCase_15
 
-    utility_bills:
-      - scenario_name: Bills
+    #utility_bills:
+      #- scenario_name: Bills
 
     simulation_output_report:
-      timeseries_frequency: hourly
+      timeseries_frequency: timestep
       include_timeseries_total_consumptions: true
       include_timeseries_fuel_consumptions: true
       include_timeseries_end_use_consumptions: true
@@ -58,12 +58,23 @@ workflow_generator:
 baseline:
   n_buildings_represented: 139647020 # American Community Survey 2021 5-year, B25001, does not include territories ( 138765649 without AK and HI )
 
-eagle:
-  n_jobs: 3
-  minutes_per_sim: 30
-  account: <account you are authorized to use>
-  postprocessing:
-    time: 20
-    n_workers: 1
+kestrel:
+  n_jobs: 240
+  minutes_per_sim: 2
+  account: panels
   sampling:
-    time: 5
+    time: 60
+  postprocessing:
+    time: 2000
+    n_workers: 32
+
+postprocessing:
+  aws:
+    region_name: us-west-2
+    s3:
+      bucket: resstock-panels
+      prefix: resstock-panels_runs
+    athena:
+      glue_service_role: service-role/AWSGlueServiceRole-default
+      database_name: resstock_panels 
+      max_crawling_time: 1200