(v3.1.6) - Sinergym Minor Update: environment action space calibratio…

…n. (#382) * Updated environments configuration (action spaces) * Updated Sinergym version from 3.1.5 to 3.1.6
ugr-sail · Jan 18, 2024 · 5cef3ac · 5cef3ac
1 parent 9d0a260
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Showing 9 changed files with 31 additions and 49 deletions.
diff --git a/sinergym/data/default_configuration/2ZoneDataCenterHVAC_wEconomizer.json b/sinergym/data/default_configuration/2ZoneDataCenterHVAC_wEconomizer.json
@@ -104,7 +104,7 @@
         }
     },
 
-    "action_space"          : "gym.spaces.Box(low=np.array([15.0, 22.5], dtype=np.float32), high=np.array([22.5, 30.0], dtype=np.float32), shape=(2,), dtype=np.float32)",
+    "action_space"          : "gym.spaces.Box(low=np.array([15.0, 22.0], dtype=np.float32), high=np.array([22.0, 30.0], dtype=np.float32), shape=(2,), dtype=np.float32)",
 
     "action_space_discrete" : "gym.spaces.Discrete(10)",
 

diff --git a/sinergym/data/default_configuration/5ZoneAutoDXVAV.json b/sinergym/data/default_configuration/5ZoneAutoDXVAV.json
@@ -91,7 +91,7 @@
         }
     },
 
-    "action_space"          : "gym.spaces.Box(low=np.array([15.0, 22.5], dtype=np.float32), high=np.array([22.5, 30.0], dtype=np.float32), shape=(2,), dtype=np.float32)",
+    "action_space"          : "gym.spaces.Box(low=np.array([12.0, 23.5], dtype=np.float32), high=np.array([21.5, 40.0], dtype=np.float32), shape=(2,), dtype=np.float32)",
 
     "action_space_discrete" : "gym.spaces.Discrete(10)",
 

diff --git a/sinergym/data/default_configuration/ASHRAE901_OfficeMedium_STD2019_Denver.json b/sinergym/data/default_configuration/ASHRAE901_OfficeMedium_STD2019_Denver.json
@@ -119,8 +119,8 @@
             "perimeter_top_zn_4_air_temperature"
         ],
         "energy_variables"      : ["HVAC_electricity_demand_rate"],
-        "range_comfort_winter"  : [18, 27],
-        "range_comfort_summer"  : [18, 27],
+        "range_comfort_winter"  : [20.0, 23.5],
+        "range_comfort_summer"  : [23.0, 26.0],
         "summer_start"          : [6, 1],
         "summer_final"          : [9, 30],
         "energy_weight"         : 0.5,

diff --git a/sinergym/data/default_configuration/ASHRAE901_Warehouse_STD2019_Denver.json b/sinergym/data/default_configuration/ASHRAE901_Warehouse_STD2019_Denver.json
@@ -82,37 +82,20 @@
             "variable_name" : "Office_Cooling_RL",
             "element_type"  : "Schedule:Year", 
             "value_type"    : "Schedule Value"
-        },
-        "Fine Storage Heating Setpoint Schedule" : {
-            "variable_name" : "FineStorage_Heating_RL",
-            "element_type"  : "Schedule:Compact", 
-            "value_type"    : "Schedule Value"
-        },
-        "Fine Storage Cooling Setpoint Schedule" : {
-            "variable_name" : "FineStorage_Cooling_RL",
-            "element_type"  : "Schedule:Compact", 
-            "value_type"    : "Schedule Value"
-        },
-        "Bulk Storage Heating Setpoint Schedule" : {
-            "variable_name" : "BulkStorage_Heating_RL",
-            "element_type"  : "Schedule:Compact", 
-            "value_type"    : "Schedule Value"
         }
     },
 
-    "action_space"          : "gym.spaces.Box(low=np.array([15.0, 22.5, 15.0, 22.5, 15.0], dtype=np.float32), high=np.array([22.5, 30.0, 22.5, 30.0, 22.5], dtype=np.float32) ,shape=(5,), dtype=np.float32)",
+    "action_space"          : "gym.spaces.Box(low=np.array([15.0, 22.5], dtype=np.float32), high=np.array([22.5, 35.0], dtype=np.float32) ,shape=(2,), dtype=np.float32)",
 
     "action_space_discrete" : "gym.spaces.Discrete(10)",
 
     "reward"                : "LinearReward",
     "reward_kwargs"         : {
         "temperature_variables" : [
-            "zone1_office_air_temperature",
-            "zone2_fine_storage_air_temperature",
-            "zone3_bulk_storage_air_temperature"],
+                "zone1_office_air_temperature"],
         "energy_variables"      : ["HVAC_electricity_demand_rate"],
-        "range_comfort_winter"  : [18, 27],
-        "range_comfort_summer"  : [18, 27],
+        "range_comfort_winter"  : [20.0, 23.5],
+        "range_comfort_summer"  : [23.0, 26.0],
         "summer_start"          : [6, 1],
         "summer_final"          : [9, 30],
         "energy_weight"         : 0.5,

diff --git a/sinergym/data/default_configuration/LrgOff_GridStorageScheduled.json b/sinergym/data/default_configuration/LrgOff_GridStorageScheduled.json
@@ -73,7 +73,6 @@
         "Zone People Occupant Count"                                      : {
             "variable_names" : "people_count",
             "keys"          : ["Basement", "core_bottom", "core_mid", "core_top", 
-                               "GroundFloor_Plenum", "MidFloor_Plenum", "TopFloor_Plenum", 
                                "Perimeter_bot_ZN_1", "Perimeter_bot_ZN_2", "Perimeter_bot_ZN_3", "Perimeter_bot_ZN_4", 
                                "Perimeter_mid_ZN_1", "Perimeter_mid_ZN_2", "Perimeter_mid_ZN_3", "Perimeter_mid_ZN_4", 
                                "Perimeter_top_ZN_1", "Perimeter_top_ZN_2", "Perimeter_top_ZN_3", "Perimeter_top_ZN_4"

diff --git a/sinergym/data/default_configuration/ShopWithPVandBattery.json b/sinergym/data/default_configuration/ShopWithPVandBattery.json
@@ -121,7 +121,7 @@
         }
     },
 
-    "action_space"          : "gym.spaces.Box(low=np.array([15.0, 22.5], dtype=np.float32), high=np.array([22.5, 30.0], dtype=np.float32), shape=(2,), dtype=np.float32)",
+    "action_space"          : "gym.spaces.Box(low=np.array([10.0, 22.5], dtype=np.float32), high=np.array([22.5, 35.0], dtype=np.float32), shape=(2,), dtype=np.float32)",
 
     "action_space_discrete" : "gym.spaces.Discrete(10)",
 

diff --git a/sinergym/utils/constants.py b/sinergym/utils/constants.py
@@ -44,16 +44,16 @@ def DEFAULT_5ZONE_DISCRETE_FUNCTION(action: int) -> List[float]:
         action = int(action.item())
 
     mapping = {
-        0: [15, 30],
-        1: [16, 29],
-        2: [17, 28],
-        3: [18, 27],
-        4: [19, 26],
-        5: [20, 25],
-        6: [21, 24],
-        7: [22, 23],
-        8: [22, 22.5],
-        9: [21, 22.5]
+        0: [13, 37],
+        1: [14, 34],
+        2: [15, 32],
+        3: [16, 30],
+        4: [17, 30],
+        5: [18, 30],
+        6: [19, 27],
+        7: [20, 26],
+        8: [21, 25],
+        9: [21, 24]
     }
 
     return mapping[action]
@@ -90,16 +90,16 @@ def DEFAULT_WAREHOUSE_DISCRETE_FUNCTION(action: int) -> List[float]:
         action = int(action.item())
 
     mapping = {
-        0: [15, 30, 15, 30, 15],
-        1: [16, 29, 16, 29, 16],
-        2: [17, 28, 17, 28, 17],
-        3: [18, 27, 18, 27, 18],
-        4: [19, 26, 19, 26, 19],
-        5: [20, 25, 20, 25, 20],
-        6: [21, 24, 21, 24, 21],
-        7: [22, 23, 22, 23, 22.5],
-        8: [22, 22.5, 22, 22.5, 22.5],
-        9: [21, 22.5, 21, 22.5, 22.5]
+        0: [15, 30],
+        1: [16, 29],
+        2: [17, 28],
+        3: [18, 27],
+        4: [19, 26],
+        5: [20, 25],
+        6: [21, 24],
+        7: [22, 23],
+        8: [22, 22.5],
+        9: [21, 22.5]
     }
 
     return mapping[action]

diff --git a/sinergym/utils/wrappers.py b/sinergym/utils/wrappers.py
@@ -739,7 +739,7 @@ def __init__(self, env):
 
     def action(self, act: np.ndarray) -> np.ndarray:
         """Due to Charge rate and Discharge rate can't be more than 0.0 simultaneously (in OfficeGridStorageSmoothing.epJSON),
-           this wrapper clips one of the to 0.0 when both have a value upper than 0.0 (randomly).
+           this wrapper clips one of them to 0.0 when both have a value upper than 0.0 (randomly).
 
         Args:
             act (np.ndarray): Action to be clipped

diff --git a/sinergym/version.txt b/sinergym/version.txt
@@ -1 +1 @@
-3.1.5
+3.1.6
-Original file line number
+Diff line change
@@ Expand Up / @@ -104,7 +104,7 @@ @@
             }
         },
-        "action_space"          : "gym.spaces.Box(low=np.array([15.0, 22.5], dtype=np.float32), high=np.array([22.5, 30.0], dtype=np.float32), shape=(2,), dtype=np.float32)",
+        "action_space"          : "gym.spaces.Box(low=np.array([15.0, 22.0], dtype=np.float32), high=np.array([22.0, 30.0], dtype=np.float32), shape=(2,), dtype=np.float32)",
         "action_space_discrete" : "gym.spaces.Discrete(10)",
@@ Expand Down @@