Merge pull request #98 from SPF-OST/solar_ice_example

Solar ice example

data/examples/solar_ice_hp.py

@@ -7,7 +7,7 @@
 
 if __name__ == '__main__':
     # set a time period for the optimization problem
-    timePeriod = pd.date_range("2018-06-01 00:00:00", "2018-12-31 23:00:00", freq="60min")
+    timePeriod = pd.date_range("2018-06-01 00:00:00", "2019-05-31 23:00:00", freq="60min")
 
     # define paths for input and result files
     curDir = _pl.Path(__file__).resolve().parent
@@ -25,7 +25,7 @@
     numberOfBuildings = 4
     optimizationType = "costs"  # set as "env" for environmental optimization and "costs" for cost optimization
     mergeLinkBuses = False
-    mergeBuses = [] # "electricity", "heatPumpInputBus"
+    mergeBuses = []
     dispatchMode = True  # Set to True to run the optimization in dispatch mode
 
     # solver specific command line options

data/examples/solar_ice_hp_2storages.py

@@ -7,12 +7,13 @@
 
 if __name__ == '__main__':
     """
-    This example is a modification of the solar_ice_hp example.
+    This example is similar to solar_ice_hp example.
     Instead of a multi-layer thermal storage, this example has separate space heating and DHW storages
+    Some parameters of the ice storage have also been changed from the original solar_ice_hp example
     Therefore, this example has only 2 temperature levels --> SH and DHW temperatures
     """
     # set a time period for the optimization problem
-    timePeriod = pd.date_range("2018-06-01 00:00:00", "2018-12-31 23:00:00", freq="60min")
+    timePeriod = pd.date_range("2018-06-01 00:00:00", "2019-05-31 23:00:00", freq="60min")
 
     # define paths for input and result files
     curDir = _pl.Path(__file__).resolve().parent
@@ -30,7 +31,7 @@
     numberOfBuildings = 4
     optimizationType = "costs"  # set as "env" for environmental optimization and "costs" for cost optimization
     mergeLinkBuses = False
-    mergeBuses = [] # "electricity", "heatPumpInputBus"
+    mergeBuses = []
     dispatchMode = True  # Set to True to run the optimization in dispatch mode
 
     # solver specific command line options