From 1cc8fb0cdc4d03fecfad36792ef22d66333f0b47 Mon Sep 17 00:00:00 2001
From: mgarrouste <mgarrou@umich.edu>
Date: Wed, 4 Oct 2023 17:18:19 -0400
Subject: [PATCH] clean up unused data

---
 use_cases/LWR_FT_2023/data/ENC_DF.csv         | 38 -------------
 use_cases/LWR_FT_2023/data/ENC_JF.csv         | 38 -------------
 use_cases/LWR_FT_2023/data/ENC_MG.csv         | 38 -------------
 use_cases/LWR_FT_2023/data/data_cleaner.ipynb |  7 +++
 ... => plot_braidwood_hist_elec_prices.ipynb} |  0
 use_cases/LWR_FT_2023/run/functions.py        | 56 -------------------
 6 files changed, 7 insertions(+), 170 deletions(-)
 delete mode 100644 use_cases/LWR_FT_2023/data/ENC_DF.csv
 delete mode 100644 use_cases/LWR_FT_2023/data/ENC_JF.csv
 delete mode 100644 use_cases/LWR_FT_2023/data/ENC_MG.csv
 rename use_cases/LWR_FT_2023/data/{plot_braidwood.ipynb => plot_braidwood_hist_elec_prices.ipynb} (100%)

diff --git a/use_cases/LWR_FT_2023/data/ENC_DF.csv b/use_cases/LWR_FT_2023/data/ENC_DF.csv
deleted file mode 100644
index f379af6d..00000000
--- a/use_cases/LWR_FT_2023/data/ENC_DF.csv
+++ /dev/null
@@ -1,38 +0,0 @@
-Energy Prices Transportation Diesel Fuel,,,
-East North Central Region,,,
-Unit,$ 2020 /gal,,
-https://www.eia.gov/outlooks/aeo/data/browser/#/?id=3-AEO2021&region=1-3&cases=highogs~aeo2020ref&start=2019&end=2050&f=A&linechart=~~~~~~highogs-d120120a.30-3-AEO2021.1-3~aeo2020ref-d112119a.30-3-AEO2021.1-3&map=aeo2020ref-d112119a.3-3-AEO2021.1-3&sourcekey=0,,,
-14:34:09 GMT-0600 (Mountain Daylight Time),,,
-Source: U.S. Energy Information Administration,,,
-Year,high,ref,low
-2050,2.26039008,2.697682501,2.840894672
-2049,2.24331928,2.679174638,2.830208243
-2048,2.226181403,2.658805945,2.814620043
-2047,2.21887446,2.630521348,2.814394112
-2046,2.207092675,2.601179323,2.800662646
-2045,2.191290016,2.598930898,2.768022259
-2044,2.166272876,2.55319294,2.750901005
-2043,2.148055212,2.530154279,2.711609813
-2042,2.135768184,2.510677604,2.668571323
-2041,2.126826342,2.466168572,2.661693884
-2040,2.11276031,2.444165916,2.670655393
-2039,2.072203669,2.444681461,2.623115838
-2038,2.088648417,2.417941156,2.607279934
-2037,2.067643604,2.392454595,2.586206874
-2036,2.04583738,2.372641013,2.54499234
-2035,2.053384068,2.343073409,2.538158448
-2034,2.085146249,2.313974289,2.524695992
-2033,2.070004059,2.292216646,2.479701383
-2032,2.0513645,2.245952608,2.417628482
-2031,2.02489824,2.224050275,2.367901024
-2030,2.008744042,2.192159207,2.313506506
-2029,1.966509305,2.177527528,2.276387882
-2028,1.942826916,2.152408778,2.226418104
-2027,1.915629247,2.112323197,2.177463612
-2026,1.855060486,2.106655251,2.109243041
-2025,1.833676741,2.061747385,2.035434126
-2024,1.797903755,2.042893251,1.951210017
-2023,1.755418855,1.994899493,1.851861043
-2022,1.612367177,1.980377852,1.643020773
-2021,1.519573251,1.943275032,1.519573251
-2020,1.528877403,1.935693577,1.528877403
\ No newline at end of file
diff --git a/use_cases/LWR_FT_2023/data/ENC_JF.csv b/use_cases/LWR_FT_2023/data/ENC_JF.csv
deleted file mode 100644
index eabab6e8..00000000
--- a/use_cases/LWR_FT_2023/data/ENC_JF.csv
+++ /dev/null
@@ -1,38 +0,0 @@
-Energy Prices Transportation Jet Fuel,,,
-East North Central Region,,,
-https://www.eia.gov/outlooks/aeo/data/browser/#/?id=3-AEO2021&region=1-3&cases=highogs~aeo2020ref&start=2019&end=2050&f=A&linechart=~~~~highogs-d120120a.29-3-AEO2021.1-3~aeo2020ref-d112119a.29-3-AEO2021.1-3&map=aeo2020ref-d112119a.3-3-AEO2021.1-3&sourcekey=0,,,
-14:33:53 GMT-0600 (Mountain Daylight Time),,,
-Unit,2020 $ /gal,,
-Source: U.S. Energy Information Administration,,,
-Year,high,ref,low
-2050,1.748649344,2.247290435,2.331665398
-2049,1.729615667,2.236148128,2.318063354
-2048,1.706633171,2.207266503,2.292651658
-2047,1.697031106,2.167236647,2.291278453
-2046,1.682091862,2.118100705,2.274050155
-2045,1.662474357,2.111937121,2.246008724
-2044,1.631015637,2.062487389,2.224745127
-2043,1.602642184,2.035081401,2.182318884
-2042,1.581543459,2.01108632,2.131990219
-2041,1.565908726,1.966315762,2.116033492
-2040,1.545472903,1.936932801,2.123511602
-2039,1.49875249,1.926371133,2.0784587
-2038,1.507317815,1.894142976,2.056705048
-2037,1.480204767,1.870201105,2.021961893
-2036,1.454586953,1.842105894,1.970586575
-2035,1.459259632,1.813669661,1.946452602
-2034,1.47005784,1.782280102,1.925925399
-2033,1.453613108,1.749031385,1.871471992
-2032,1.431113262,1.707104313,1.812476709
-2031,1.395114489,1.686953568,1.755453043
-2030,1.372978226,1.646376914,1.705357613
-2029,1.332112049,1.625789095,1.651318947
-2028,1.298525272,1.600780518,1.600435166
-2027,1.268321715,1.547906206,1.544843954
-2026,1.211574695,1.543409905,1.470986223
-2025,1.181711477,1.491954146,1.402753938
-2024,1.169827535,1.498741551,1.321276469
-2023,1.12787027,1.469430828,1.217886402
-2022,1.048395411,1.472544125,1.075137926
-2021,0.95826625,1.462399705,0.95826625
-2020,0.876763373,1.476753866,0.876763373
\ No newline at end of file
diff --git a/use_cases/LWR_FT_2023/data/ENC_MG.csv b/use_cases/LWR_FT_2023/data/ENC_MG.csv
deleted file mode 100644
index 9f466e3a..00000000
--- a/use_cases/LWR_FT_2023/data/ENC_MG.csv
+++ /dev/null
@@ -1,38 +0,0 @@
-Energy Prices Transportation Motor Gasoline,,,
-East North Central Region,,,
-Unit,$ 2020/gal,,
-https://www.eia.gov/outlooks/aeo/data/browser/#/?id=3-AEO2021&region=1-3&cases=highogs~aeo2020ref&start=2019&end=2050&f=A&linechart=~~highogs-d120120a.28-3-AEO2021.1-3~aeo2020ref-d112119a.28-3-AEO2021.1-3&map=aeo2020ref-d112119a.3-3-AEO2021.1-3&sourcekey=0,,,
-14:33:35 GMT-0600 (Mountain Daylight Time),,,
-Source: U.S. Energy Information Administration,,,
-Year,high,ref,low
-2050,1.83176,2.41334,2.40459
-2049,1.81466,2.3928,2.39596
-2048,1.79722,2.36773,2.38759
-2047,1.78837,2.33352,2.39015
-2046,1.77802,2.28026,2.37137
-2045,1.77026,2.27441,2.3431
-2044,1.74904,2.2363,2.32212
-2043,1.7325,2.21431,2.28789
-2042,1.72141,2.19227,2.25271
-2041,1.72419,2.15027,2.24346
-2040,1.70842,2.13125,2.24838
-2039,1.69272,2.12254,2.2105
-2038,1.68884,2.08601,2.19561
-2037,1.66723,2.05723,2.17632
-2036,1.64271,2.05088,2.13413
-2035,1.6388,2.0182,2.10619
-2034,1.66587,1.99078,2.09139
-2033,1.62316,1.94717,2.04344
-2032,1.60686,1.90725,1.99925
-2031,1.58529,1.88213,1.95953
-2030,1.5941,1.86337,1.91393
-2029,1.5401,1.83257,1.85464
-2028,1.51156,1.79969,1.81964
-2027,1.49407,1.79006,1.77412
-2026,1.45039,1.7588,1.71388
-2025,1.44918,1.74131,1.6794
-2024,1.46031,1.71235,1.63597
-2023,1.47615,1.74441,1.61298
-2022,1.48661,1.75571,1.5279
-2021,1.46127,1.75608,1.46127
-2020,1.38061,1.7566,1.38061
\ No newline at end of file
diff --git a/use_cases/LWR_FT_2023/data/data_cleaner.ipynb b/use_cases/LWR_FT_2023/data/data_cleaner.ipynb
index d7f21c30..d19d4d81 100644
--- a/use_cases/LWR_FT_2023/data/data_cleaner.ipynb
+++ b/use_cases/LWR_FT_2023/data/data_cleaner.ipynb
@@ -1,5 +1,12 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The goal of this notebook is to pre-process electricity market data to use it for ARMA training"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
diff --git a/use_cases/LWR_FT_2023/data/plot_braidwood.ipynb b/use_cases/LWR_FT_2023/data/plot_braidwood_hist_elec_prices.ipynb
similarity index 100%
rename from use_cases/LWR_FT_2023/data/plot_braidwood.ipynb
rename to use_cases/LWR_FT_2023/data/plot_braidwood_hist_elec_prices.ipynb
diff --git a/use_cases/LWR_FT_2023/run/functions.py b/use_cases/LWR_FT_2023/run/functions.py
index 65fe99b7..5a29c195 100644
--- a/use_cases/LWR_FT_2023/run/functions.py
+++ b/use_cases/LWR_FT_2023/run/functions.py
@@ -118,35 +118,6 @@ def find_lower_nearest_idx(array, value):
       idx = i
   return idx
 
-def co2_supply_curve_comb(data,meta):
-  """
-    Determines the cost of CO2 as a function of the quantity asked for, 
-    For HTSE and FT combined component cases
-    Based on preliminary data from D. Wendt analysis for Braidwood NPP
-    @ In, data, dict, request for data
-    @ In, meta, dict, state information
-    @ Out, data, dict, filled data
-    @ In, meta, dict, state information
-  """
-  co2_cost = 0
-  comp_cap = meta['HERON']['RAVEN_vars']['htse_ft_capacity'] #MWe (negative value)
-  elec_to_h2_rate = 25.13 #kg-H2/MWe
-  h2_to_co2_rate = 6.58/1.06 #kg-Co2/kg-h2
-  comp_cap = np.abs(comp_cap)
-  co2_demand_year = 365*24*comp_cap*elec_to_h2_rate*h2_to_co2_rate #(kg-CO2/year) neg
-  # Get the data for the NPP
-  labels = meta['HERON']['Case'].get_labels()
-  location = labels['location']
-  location_path = '../data/'+str(location)+'_co2.csv'
-  df = pd.read_csv(os.path.join(os.path.dirname(__file__), location_path))
-  cost_data = df.iloc[:,-1].to_numpy()
-  co2_demand_data = df.iloc[:,-2].to_numpy()
-  diff = np.absolute(co2_demand_data-co2_demand_year)
-  idx = np.argmin(diff)
-  co2_cost = cost_data[idx]
-  data = {'reference_price': -co2_cost*co2_demand_year}
-  return data, meta
-
 def co2_supply_curve(data, meta):
   """
     Determines the cost of CO2 as a function of the quantity asked for, 
@@ -174,33 +145,6 @@ def co2_supply_curve(data, meta):
   data = {'reference_price': -co2_cost*co2_demand_year}
   return data, meta 
 
-def co2_supply_curve_test(data, meta):
-  """
-    Determines the cost of CO2 as a function of the quantity asked for, 
-    Based on data from D. Wendt analysis on CO2 feedstock
-    @ In, data, dict, request for data
-    @ In, meta, dict, state information
-    @ Out, data, dict, filled data
-    @ In, meta, dict, state information
-  """
-  co2_cost = 0
-  ft_cap = meta['HERON']['RAVEN_vars']['ft_capacity'] #kg-H2
-  h2_rate = 1.06
-  co2_rate = 6.58
-  co2_demand_year = 365*24*np.abs(ft_cap)*co2_rate/h2_rate #(kg/year)
-  # Get the data for the NPP
-  labels = meta['HERON']['Case'].get_labels()
-  location = labels['location']
-  location_path = '../data/'+str(location)+'_co2.csv'
-  df = pd.read_csv(os.path.join(os.path.dirname(__file__), location_path))
-  cost_data = df.iloc[:,-1].to_numpy()
-  co2_demand_data = df.iloc[:,-2].to_numpy()
-  diff = np.absolute(co2_demand_data-co2_demand_year)
-  idx = np.argmin(diff)
-  co2_cost = cost_data[idx]
-  data = {'reference_price': -co2_cost*co2_demand_year}
-  return data, meta 
-
 def jet_fuel_price(data, meta):
   """
     Determines the price of jet fuel given the year of the simulation