initial values

Author: maharabi

bin/jupyter/sensivity-for-all-strategies-relative-net-benefit.ipynb

@@ -20,7 +20,7 @@ def __init__(self):
             "baseyear":2021, #the year in which we are going to start conducting cost analysis 
             "underground_baseyear":167, #Length of undergeound lines in miles in base year
             "overhead_baseyear":325, #Length of overhead lines in miles in base year
-            "r":0.10, # Discount rate=10%
+            "r":0.05, # Discount rate=10%
             "easment_value":2692, # per-acre price of a conservation easement in MA
             "nfir":2000, # Non-fatality incidence rates, number of accidents per 100000 workers
             "fir":10, # Fatality incidence rates, number of accidents per 100000 workers 
@@ -78,7 +78,7 @@ def __init__(self):
             "length_s": 0.711,
             "length_scale": 0.019,
             "length_loc": -0.004,
-            "alpha":0.2
+            "alpha":0.4
             }
 
 
@@ -116,7 +116,7 @@ def __init__(self):
             "baseyear":2021, #the year in which we are going to start conducting cost analysis 
             "underground_baseyear":167, #Length of undergeound lines in miles in base year
             "overhead_baseyear":325, #Length of overhead lines in miles in base year
-            "r":0.10, # Discount rate=10%
+            "r":0.05, # Discount rate=10%
             "easment_value":2692, # per-acre price of a conservation easement
             "nfir":2000, # Non-fatality incidence rates, number of accidents per 100000 workers
             "fir":10, # Fatality incidence rates, number of accidents per 100000 workers 
@@ -168,7 +168,7 @@ def __init__(self):
             "Total_Customers_Residential_Shrewsbury":6449,
             "Total_Customers_Commercial_Shrewsbury":838,
             "Total_Customers_Industry_Shrewsbury":189,
-            "alpha":0.2
+            "alpha":0.4
             }
 
     #defining a function to modify parameters for sensitivity anlysis based on percentage change

bin/python/Network.py

@@ -1,8 +1,8 @@
-Strategy,aesthetic_benefit_el,economic_losses_el,aesthetic_benefit_br,economic_loss_br
-S1,0.0,42777776.10345405,0.0,20332116.05993014
-S2,0.0,42859429.13041152,254367.1931646241,16138142.863231556
-S3,0.0,42859429.13041152,718271.8722858336,7581576.172878867
-S4,254367.1931646241,33806092.59744943,0.0,20459968.520446926
-S5,718271.8722858336,15881843.921391347,0.0,20459968.520446926
-S6,254367.1931646241,33806092.59744943,254367.1931646241,16138142.863231556
-S10,718271.8722858336,15881843.921391347,718271.8722858336,7581576.172878867
+Strategy,aesthetic_benefit_el,economic_losses_el,aesthetic_benefit_br,economic_loss_br
+S1,0,42859429.13,0,20459968.52
+S2,0,42859429.13,254367.1932,16138142.86
+S3,0,42859429.13,718271.8723,7581576.173
+S4,254367.1932,33806092.6,0,20459968.52
+S5,718271.8723,15881843.92,0,20459968.52
+S6,254367.1932,33806092.6,254367.1932,16138142.86
+S10,718271.8723,15881843.92,718271.8723,7581576.173