diff --git a/dev/Untitled1.ipynb b/dev/Untitled1.ipynb
index d08b284e..e80d539d 100644
--- a/dev/Untitled1.ipynb
+++ b/dev/Untitled1.ipynb
@@ -2,50 +2,63 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
    "id": "5018b7ee-0169-49d7-9455-2f1aea562e9e",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-07-12T17:04:00.715857Z",
+     "start_time": "2024-07-12T17:03:59.205224Z"
+    }
+   },
    "source": [
     "from premise import *\n",
     "from datapackage import Package\n",
     "import bw2io as bw"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": 1
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
    "id": "0ca27c06-948c-4584-bebe-d505cb72d4f9",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-07-12T17:04:01.762440Z",
+     "start_time": "2024-07-12T17:04:01.531095Z"
+    }
+   },
    "source": [
     "import bw2data\n",
     "bw2data.projects.set_current(\"ei310\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "776096ec-6e11-42ba-9604-4876ae234207",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Inventory cache cleared!\n"
-     ]
-    }
    ],
-   "source": [
-    "clear_inventory_cache()"
-   ]
+   "outputs": [],
+   "execution_count": 2
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
    "id": "bee86950-ac96-49e0-8a9c-43920ae26096",
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-07-12T17:04:06.171795Z",
+     "start_time": "2024-07-12T17:04:02.324492Z"
+    }
+   },
+   "source": [
+    "ndb = NewDatabase(\n",
+    "    scenarios=[\n",
+    "        #{\"model\":\"remind\", \"pathway\":\"SSP2-Base\", \"year\":2050},\n",
+    "        #{\"model\":\"remind\", \"pathway\":\"SSP2-Base\", \"year\":2010},\n",
+    "        #{\"model\":\"image\", \"pathway\":\"SSP2-Base\", \"year\":2020},\n",
+    "        #{\"model\":\"remind\", \"pathway\":\"SSP2-RCP26\", \"year\":2050},\n",
+    "        #{\"model\":\"remind\", \"pathway\":\"SSP2-Base\", \"year\":2040},\n",
+    "        #{\"model\":\"image\", \"pathway\":\"SSP2-RCP19\", \"year\":2050},\n",
+    "        {\"model\":\"image\", \"pathway\":\"SSP2-RCP26\", \"year\":2050},\n",
+    "    ],\n",
+    "    source_db=\"ecoinvent-3.10-cutoff\", # <-- name of the database in the BW2 project. Must be a string.\n",
+    "    source_version=\"3.10\", # <-- version of ecoinvent. Can be \"3.5\", \"3.6\", \"3.7\" or \"3.8\". Must be a string.\n",
+    "    key=\"tUePmX_S5B8ieZkkM7WUU2CnO8SmShwmAeWK9x2rTFo=\",\n",
+    "    biosphere_name=\"ecoinvent-3.10-biosphere\"\n",
+    ")"
+   ],
    "outputs": [
     {
      "name": "stdout",
@@ -87,664 +100,258 @@
       "NewDatabase(..., quiet=True)\n",
       "- Extracting source database\n",
       "- Extracting inventories\n",
-      "Cannot find cached inventories. Will create them now for next time...\n",
-      "Importing default inventories...\n",
-      "\n",
-      "Extracted 1 worksheets in 0.09 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.02 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.02 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 7 worksheets in 0.03 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.02 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.02 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.03 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.02 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.03 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Could not find a biosphere flow for ('Iron, 72% in magnetite, 14% in crude ore', 'natural resource', 'in ground', 'kilogram') in lci-vanadium.xlsx. Exchange deleted.\n",
-      "Could not find a biosphere flow for ('TiO2, 54% in ilmenite, 18% in crude ore, in ground', 'natural resource', 'in ground', 'kilogram') in lci-vanadium.xlsx. Exchange deleted.\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.02 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.36 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "The following datasets to import already exist in the source database. They will not be imported\n",
-      "+--------------------------------+--------------------------------+----------+-------------+\n",
-      "|              Name              |       Reference product        | Location |     File    |\n",
-      "+--------------------------------+--------------------------------+----------+-------------+\n",
-      "| fluorspar production, 97% puri |     fluorspar, 97% purity      |   GLO    | lci-PV.xlsx |\n",
-      "| metallization paste production | metallization paste, back side |   RER    | lci-PV.xlsx |\n",
-      "| metallization paste production | metallization paste, back side |   RER    | lci-PV.xlsx |\n",
-      "| metallization paste production | metallization paste, front sid |   RER    | lci-PV.xlsx |\n",
-      "| photovoltaic module production | photovoltaic module, building- |   RER    | lci-PV.xlsx |\n",
-      "| photovoltaic module production | photovoltaic module, building- |   RER    | lci-PV.xlsx |\n",
-      "| photovoltaic mounting system p | photovoltaic mounting system,  |   RER    | lci-PV.xlsx |\n",
-      "| photovoltaic mounting system p | photovoltaic mounting system,  |   RER    | lci-PV.xlsx |\n",
-      "| photovoltaic mounting system p | photovoltaic mounting system,  |   RER    | lci-PV.xlsx |\n",
-      "| photovoltaic panel factory con |   photovoltaic panel factory   |   GLO    | lci-PV.xlsx |\n",
-      "|  polyvinylfluoride production  |       polyvinylfluoride        |    US    | lci-PV.xlsx |\n",
-      "| polyvinylfluoride production,  | polyvinylfluoride, dispersion  |    US    | lci-PV.xlsx |\n",
-      "| polyvinylfluoride, film produc |    polyvinylfluoride, film     |    US    | lci-PV.xlsx |\n",
-      "| silicon production, metallurgi |  silicon, metallurgical grade  |    NO    | lci-PV.xlsx |\n",
-      "|   vinyl fluoride production    |         vinyl fluoride         |    US    | lci-PV.xlsx |\n",
-      "|   wafer factory construction   |         wafer factory          |    DE    | lci-PV.xlsx |\n",
-      "+--------------------------------+--------------------------------+----------+-------------+\n",
-      "Extracted 1 worksheets in 0.04 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.02 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.02 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "The following datasets to import already exist in the source database. They will not be imported\n",
-      "+--------------------------------+--------------------------------+----------+--------------------------------+\n",
-      "|              Name              |       Reference product        | Location |              File              |\n",
-      "+--------------------------------+--------------------------------+----------+--------------------------------+\n",
-      "| carbon dioxide, captured at ce | carbon dioxide, captured and r |   RER    | lci-synfuels-from-methanol-fro |\n",
-      "+--------------------------------+--------------------------------+----------+--------------------------------+\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "The following datasets to import already exist in the source database. They will not be imported\n",
-      "+--------------------------------+--------------------------------+----------+--------------------------------+\n",
-      "|              Name              |       Reference product        | Location |              File              |\n",
-      "+--------------------------------+--------------------------------+----------+--------------------------------+\n",
-      "| hydrogen production, coal gasi | hydrogen, gaseous, low pressur |   RoW    | lci-hydrogen-coal-gasification |\n",
-      "| methanol production, coal gasi |            methanol            |   RoW    | lci-hydrogen-coal-gasification |\n",
-      "+--------------------------------+--------------------------------+----------+--------------------------------+\n",
-      "Extracted 1 worksheets in 0.00 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.02 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.02 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.02 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "The following datasets to import already exist in the source database. They will not be imported\n",
-      "+--------------------------------+--------------------------------+----------+--------------------------------+\n",
-      "|              Name              |       Reference product        | Location |              File              |\n",
-      "+--------------------------------+--------------------------------+----------+--------------------------------+\n",
-      "| hydrogen production, steam met | hydrogen, gaseous, low pressur |   RER    | lci-hydrogen-smr-atr-natgas.xl |\n",
-      "+--------------------------------+--------------------------------+----------+--------------------------------+\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.00 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.02 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "The following datasets to import already exist in the source database. They will not be imported\n",
-      "+--------------------------------+--------------------------------+----------+--------------------------------+\n",
-      "|              Name              |       Reference product        | Location |              File              |\n",
-      "+--------------------------------+--------------------------------+----------+--------------------------------+\n",
-      "| methanol production facility,  | methanol production facility,  |   RER    | lci-synfuels-from-methanol-fro |\n",
-      "+--------------------------------+--------------------------------+----------+--------------------------------+\n",
-      "Extracted 1 worksheets in 0.02 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.00 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 5 worksheets in 0.14 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.02 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.03 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.07 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.51 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.02 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.04 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.01 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 39 worksheets in 0.36 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.20 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.16 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Extracted 1 worksheets in 0.84 seconds\n",
-      "Migrating to 3.8 first\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Applying strategy: migrate_datasets\n",
-      "Applying strategy: migrate_exchanges\n",
-      "Remove uncertainty data.\n",
-      "Data cached. It is advised to restart your workflow at this point.\n",
-      "This allows premise to use the cached data instead, which results in\n",
-      "a faster workflow.\n",
       "- Fetching IAM data\n",
       "Done!\n"
      ]
     }
    ],
-   "source": [
-    "ndb = NewDatabase(\n",
-    "    scenarios=[\n",
-    "        #{\"model\":\"remind\", \"pathway\":\"SSP2-Base\", \"year\":2050},\n",
-    "        #{\"model\":\"remind\", \"pathway\":\"SSP2-Base\", \"year\":2010},\n",
-    "        #{\"model\":\"image\", \"pathway\":\"SSP2-Base\", \"year\":2020},\n",
-    "        {\"model\":\"remind\", \"pathway\":\"SSP2-Base\", \"year\":2050},\n",
-    "        #{\"model\":\"remind\", \"pathway\":\"SSP2-Base\", \"year\":2040},\n",
-    "        #{\"model\":\"image\", \"pathway\":\"SSP2-Base\", \"year\":2050},\n",
-    "        #{\"model\":\"image\", \"pathway\":\"SSP2-Base\", \"year\":2050},\n",
-    "    ],\n",
-    "    source_db=\"ecoinvent-3.10-cutoff\", # <-- name of the database in the BW2 project. Must be a string.\n",
-    "    source_version=\"3.10\", # <-- version of ecoinvent. Can be \"3.5\", \"3.6\", \"3.7\" or \"3.8\". Must be a string.\n",
-    "    key=\"tUePmX_S5B8ieZkkM7WUU2CnO8SmShwmAeWK9x2rTFo=\",\n",
-    "    biosphere_name=\"ecoinvent-3.10-biosphere\"\n",
-    ")"
-   ]
+   "execution_count": 3
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "id": "3e88c655-ddb1-409d-b84f-c2c4e1976542",
-   "metadata": {},
+   "id": "0c80994c-cbac-4143-81ee-1de1531a6f95",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-07-12T17:04:21.365439Z",
+     "start_time": "2024-07-12T17:04:06.172553Z"
+    }
+   },
+   "source": "ndb.update(\"cement\")",
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Processing scenarios:   0%|                     | 0/1 [00:00<?, ?it/s]"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Generate scenario report.\n",
-      "Report saved under /Users/romain/GitHub/premise/dev/export/scenario_report.\n"
+      "WEU 2198.33472\n",
+      "defaultdict(<function Cement.fetch_current_energy_details.<locals>.<lambda> at 0x3e0545480>,\n",
+      "            {'market for hard coal': {'amount': 0.0354,\n",
+      "                                      'biogenic CO2': 0.0,\n",
+      "                                      'energy': 934.56,\n",
+      "                                      'fossil CO2': 91.58688},\n",
+      "             'market for heavy fuel oil': {'amount': 0.0255,\n",
+      "                                           'biogenic CO2': 0.0,\n",
+      "                                           'energy': 981.7499999999999,\n",
+      "                                           'fossil CO2': 72.55132499999998},\n",
+      "             'market for light fuel oil': {'amount': 0.000374,\n",
+      "                                           'biogenic CO2': 0.0,\n",
+      "                                           'energy': 15.9324,\n",
+      "                                           'fossil CO2': 1.0929626399999999},\n",
+      "             'market for meat and bone meal': {'amount': 0.00961,\n",
+      "                                               'biogenic CO2': 11.186232200000003,\n",
+      "                                               'energy': 137.42300000000003,\n",
+      "                                               'fossil CO2': 0.0},\n",
+      "             'market for petroleum coke': {'amount': 0.00391,\n",
+      "                                           'biogenic CO2': 0.0,\n",
+      "                                           'energy': 122.38300000000001,\n",
+      "                                           'fossil CO2': 11.9323425},\n",
+      "             'market group for natural gas, high pressure': {'amount': 0.00017462,\n",
+      "                                                             'biogenic CO2': 0.0,\n",
+      "                                                             'energy': 6.28632,\n",
+      "                                                             'fossil CO2': 0.3771792}})\n",
+      "2832.788501512605\n",
+      "0.97397502595931\n",
+      "new 2759.065254297974\n",
+      "new scaling factor 1.0943280793270356\n",
+      "WEU 2198.33472\n",
+      "defaultdict(<function Cement.fetch_current_energy_details.<locals>.<lambda> at 0x3e0545480>,\n",
+      "            {'market for hard coal': {'amount': 0.0354,\n",
+      "                                      'biogenic CO2': 0.0,\n",
+      "                                      'energy': 934.56,\n",
+      "                                      'fossil CO2': 91.58688},\n",
+      "             'market for heavy fuel oil': {'amount': 0.0255,\n",
+      "                                           'biogenic CO2': 0.0,\n",
+      "                                           'energy': 981.7499999999999,\n",
+      "                                           'fossil CO2': 72.55132499999998},\n",
+      "             'market for light fuel oil': {'amount': 0.000374,\n",
+      "                                           'biogenic CO2': 0.0,\n",
+      "                                           'energy': 15.9324,\n",
+      "                                           'fossil CO2': 1.0929626399999999},\n",
+      "             'market for meat and bone meal': {'amount': 0.00961,\n",
+      "                                               'biogenic CO2': 11.186232200000003,\n",
+      "                                               'energy': 137.42300000000003,\n",
+      "                                               'fossil CO2': 0.0},\n",
+      "             'market for petroleum coke': {'amount': 0.00391,\n",
+      "                                           'biogenic CO2': 0.0,\n",
+      "                                           'energy': 122.38300000000001,\n",
+      "                                           'fossil CO2': 11.9323425},\n",
+      "             'market group for natural gas, high pressure': {'amount': 0.00017462,\n",
+      "                                                             'biogenic CO2': 0.0,\n",
+      "                                                             'energy': 6.28632,\n",
+      "                                                             'fossil CO2': 0.3771792}})\n",
+      "2832.788501512605\n",
+      "0.8335910807752474\n",
+      "new 2361.3872285835855\n",
+      "new scaling factor 1.0943280793270356\n",
+      "WEU 2198.33472\n",
+      "defaultdict(<function Cement.fetch_current_energy_details.<locals>.<lambda> at 0x3e05455a0>,\n",
+      "            {'market for hard coal': {'amount': 0.0354,\n",
+      "                                      'biogenic CO2': 0.0,\n",
+      "                                      'energy': 934.56,\n",
+      "                                      'fossil CO2': 91.58688},\n",
+      "             'market for heavy fuel oil': {'amount': 0.0255,\n",
+      "                                           'biogenic CO2': 0.0,\n",
+      "                                           'energy': 981.7499999999999,\n",
+      "                                           'fossil CO2': 72.55132499999998},\n",
+      "             'market for light fuel oil': {'amount': 0.000374,\n",
+      "                                           'biogenic CO2': 0.0,\n",
+      "                                           'energy': 15.9324,\n",
+      "                                           'fossil CO2': 1.0929626399999999},\n",
+      "             'market for meat and bone meal': {'amount': 0.00961,\n",
+      "                                               'biogenic CO2': 11.186232200000003,\n",
+      "                                               'energy': 137.42300000000003,\n",
+      "                                               'fossil CO2': 0.0},\n",
+      "             'market for petroleum coke': {'amount': 0.00391,\n",
+      "                                           'biogenic CO2': 0.0,\n",
+      "                                           'energy': 122.38300000000001,\n",
+      "                                           'fossil CO2': 11.9323425},\n",
+      "             'market group for natural gas, high pressure': {'amount': 0.00017462,\n",
+      "                                                             'biogenic CO2': 0.0,\n",
+      "                                                             'energy': 6.28632,\n",
+      "                                                             'fossil CO2': 0.3771792}})\n",
+      "2832.788501512605\n",
+      "1.0\n",
+      "new 2832.788501512605\n",
+      "new scaling factor 1.0943280793270356\n",
+      "WEU 2198.33472\n",
+      "defaultdict(<function Cement.fetch_current_energy_details.<locals>.<lambda> at 0x3a6cb9f30>,\n",
+      "            {'market for hard coal': {'amount': 0.0354,\n",
+      "                                      'biogenic CO2': 0.0,\n",
+      "                                      'energy': 934.56,\n",
+      "                                      'fossil CO2': 91.58688},\n",
+      "             'market for heavy fuel oil': {'amount': 0.0255,\n",
+      "                                           'biogenic CO2': 0.0,\n",
+      "                                           'energy': 981.7499999999999,\n",
+      "                                           'fossil CO2': 72.55132499999998},\n",
+      "             'market for light fuel oil': {'amount': 0.000374,\n",
+      "                                           'biogenic CO2': 0.0,\n",
+      "                                           'energy': 15.9324,\n",
+      "                                           'fossil CO2': 1.0929626399999999},\n",
+      "             'market for meat and bone meal': {'amount': 0.00961,\n",
+      "                                               'biogenic CO2': 11.186232200000003,\n",
+      "                                               'energy': 137.42300000000003,\n",
+      "                                               'fossil CO2': 0.0},\n",
+      "             'market for petroleum coke': {'amount': 0.00391,\n",
+      "                                           'biogenic CO2': 0.0,\n",
+      "                                           'energy': 122.38300000000001,\n",
+      "                                           'fossil CO2': 11.9323425},\n",
+      "             'market group for natural gas, high pressure': {'amount': 0.00017462,\n",
+      "                                                             'biogenic CO2': 0.0,\n",
+      "                                                             'energy': 6.28632,\n",
+      "                                                             'fossil CO2': 0.3771792}})\n",
+      "2832.788501512605\n",
+      "1.0\n",
+      "new 2832.788501512605\n",
+      "new scaling factor 1.0943280793270356\n",
+      "WEU 2198.33472\n",
+      "defaultdict(<function Cement.fetch_current_energy_details.<locals>.<lambda> at 0x3e05455a0>,\n",
+      "            {'market for hard coal': {'amount': 0.0354,\n",
+      "                                      'biogenic CO2': 0.0,\n",
+      "                                      'energy': 934.56,\n",
+      "                                      'fossil CO2': 91.58688},\n",
+      "             'market for heavy fuel oil': {'amount': 0.0255,\n",
+      "                                           'biogenic CO2': 0.0,\n",
+      "                                           'energy': 981.7499999999999,\n",
+      "                                           'fossil CO2': 72.55132499999998},\n",
+      "             'market for light fuel oil': {'amount': 0.000374,\n",
+      "                                           'biogenic CO2': 0.0,\n",
+      "                                           'energy': 15.9324,\n",
+      "                                           'fossil CO2': 1.0929626399999999},\n",
+      "             'market for meat and bone meal': {'amount': 0.00961,\n",
+      "                                               'biogenic CO2': 11.186232200000003,\n",
+      "                                               'energy': 137.42300000000003,\n",
+      "                                               'fossil CO2': 0.0},\n",
+      "             'market for petroleum coke': {'amount': 0.00391,\n",
+      "                                           'biogenic CO2': 0.0,\n",
+      "                                           'energy': 122.38300000000001,\n",
+      "                                           'fossil CO2': 11.9323425},\n",
+      "             'market group for natural gas, high pressure': {'amount': 0.00017462,\n",
+      "                                                             'biogenic CO2': 0.0,\n",
+      "                                                             'energy': 6.28632,\n",
+      "                                                             'fossil CO2': 0.3771792}})\n",
+      "2832.788501512605\n",
+      "1.0\n",
+      "new 2832.788501512605\n",
+      "new scaling factor 1.0943280793270356\n"
      ]
-    }
-   ],
-   "source": [
-    "ndb.generate_scenario_report()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0c80994c-cbac-4143-81ee-1de1531a6f95",
-   "metadata": {},
-   "outputs": [
+    },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Processing scenarios:   0%|                     | 0/1 [00:00<?, ?it/s]"
+      "Processing scenarios: 100%|█████████████| 1/1 [00:15<00:00, 15.19s/it]"
      ]
-    }
-   ],
-   "source": [
-    "ndb.update()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "dff4efb1-69ab-4bd5-8d52-4038df180a85",
-   "metadata": {},
-   "outputs": [
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Write new database(s) to Brightway.\n",
-      "Running all checks...\n",
-      "Minor anomalies found: check the change report.\n"
+      "Done!\n",
+      "\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Writing activities to SQLite3 database:\n",
-      "0% [##############################] 100% | ETA: 00:00:00\n",
-      "Total time elapsed: 00:00:32\n"
+      "\n"
      ]
-    },
+    }
+   ],
+   "execution_count": 4
+  },
+  {
+   "cell_type": "code",
+   "id": "dff4efb1-69ab-4bd5-8d52-4038df180a85",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-07-12T15:58:22.511387Z",
+     "start_time": "2024-07-12T15:44:21.450702Z"
+    }
+   },
+   "source": "ndb.write_db_to_brightway([\"cement 2050 rcp19\", \"cement 2050 rcp26\"])",
+   "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Write new database(s) to Brightway.\n",
+      "Running all checks...\n",
+      "Minor anomalies found: check the change report.\n",
+      "Database cement 2050 rcp19 already exists: it will be overwritten.\n",
+      "Vacuuming database \n",
+      "Warning: No valid output stream.\n",
       "Title: Writing activities to SQLite3 database:\n",
-      "  Started: 07/01/2024 17:19:47\n",
-      "  Finished: 07/01/2024 17:20:20\n",
-      "  Total time elapsed: 00:00:32\n",
-      "  CPU %: 94.20\n",
-      "  Memory %: 15.94\n"
+      "  Started: 07/12/2024 17:49:10\n",
+      "  Finished: 07/12/2024 17:49:56\n",
+      "  Total time elapsed: 00:00:45\n",
+      "  CPU %: 94.30\n",
+      "  Memory %: 22.17\n",
+      "Created database: cement 2050 rcp19\n",
+      "Running all checks...\n",
+      "Minor anomalies found: check the change report.\n",
+      "Warning: No valid output stream.\n",
+      "Title: Writing activities to SQLite3 database:\n",
+      "  Started: 07/12/2024 17:54:08\n",
+      "  Finished: 07/12/2024 17:54:56\n",
+      "  Total time elapsed: 00:00:47\n",
+      "  CPU %: 94.60\n",
+      "  Memory %: 22.50\n",
+      "Created database: cement 2050 rcp26\n",
+      "Generate scenario report.\n",
+      "Report saved under /Users/romain/Github/premise/dev/export/scenario_report.\n",
+      "Generate change report.\n",
+      "Report saved under /Users/romain/Github/premise/dev.\n"
      ]
     }
    ],
-   "source": [
-    "ndb.write_db_to_brightway()"
-   ]
+   "execution_count": 7
   },
   {
    "cell_type": "code",
@@ -11006,18 +10613,18 @@
      "evalue": "Can't pickle local object 'main.<locals>.<lambda>'",
      "output_type": "error",
      "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[9], line 31\u001b[0m\n\u001b[1;32m     28\u001b[0m         process\u001b[38;5;241m.\u001b[39mjoin()\n\u001b[1;32m     30\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;18m__name__\u001b[39m \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m__main__\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m---> 31\u001b[0m     \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
-      "Cell \u001b[0;32mIn[9], line 25\u001b[0m, in \u001b[0;36mmain\u001b[0;34m()\u001b[0m\n\u001b[1;32m     23\u001b[0m     process \u001b[38;5;241m=\u001b[39m Process(target\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mlambda\u001b[39;00m: configure_logging(current_process()\u001b[38;5;241m.\u001b[39mpid)\u001b[38;5;241m.\u001b[39minfo(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThis is an info message from process \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mcurrent_process()\u001b[38;5;241m.\u001b[39mpid\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m))\n\u001b[1;32m     24\u001b[0m     processes\u001b[38;5;241m.\u001b[39mappend(process)\n\u001b[0;32m---> 25\u001b[0m     \u001b[43mprocess\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstart\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     27\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m process \u001b[38;5;129;01min\u001b[39;00m processes:\n\u001b[1;32m     28\u001b[0m     process\u001b[38;5;241m.\u001b[39mjoin()\n",
-      "File \u001b[0;32m~/anaconda3/envs/premise/lib/python3.10/multiprocessing/process.py:121\u001b[0m, in \u001b[0;36mBaseProcess.start\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    118\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m _current_process\u001b[38;5;241m.\u001b[39m_config\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdaemon\u001b[39m\u001b[38;5;124m'\u001b[39m), \\\n\u001b[1;32m    119\u001b[0m        \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdaemonic processes are not allowed to have children\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m    120\u001b[0m _cleanup()\n\u001b[0;32m--> 121\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_popen \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_Popen\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m    122\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_sentinel \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_popen\u001b[38;5;241m.\u001b[39msentinel\n\u001b[1;32m    123\u001b[0m \u001b[38;5;66;03m# Avoid a refcycle if the target function holds an indirect\u001b[39;00m\n\u001b[1;32m    124\u001b[0m \u001b[38;5;66;03m# reference to the process object (see bpo-30775)\u001b[39;00m\n",
-      "File \u001b[0;32m~/anaconda3/envs/premise/lib/python3.10/multiprocessing/context.py:224\u001b[0m, in \u001b[0;36mProcess._Popen\u001b[0;34m(process_obj)\u001b[0m\n\u001b[1;32m    222\u001b[0m \u001b[38;5;129m@staticmethod\u001b[39m\n\u001b[1;32m    223\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_Popen\u001b[39m(process_obj):\n\u001b[0;32m--> 224\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_default_context\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_context\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mProcess\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_Popen\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess_obj\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/anaconda3/envs/premise/lib/python3.10/multiprocessing/context.py:288\u001b[0m, in \u001b[0;36mSpawnProcess._Popen\u001b[0;34m(process_obj)\u001b[0m\n\u001b[1;32m    285\u001b[0m \u001b[38;5;129m@staticmethod\u001b[39m\n\u001b[1;32m    286\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_Popen\u001b[39m(process_obj):\n\u001b[1;32m    287\u001b[0m     \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpopen_spawn_posix\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Popen\n\u001b[0;32m--> 288\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mPopen\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess_obj\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/anaconda3/envs/premise/lib/python3.10/multiprocessing/popen_spawn_posix.py:32\u001b[0m, in \u001b[0;36mPopen.__init__\u001b[0;34m(self, process_obj)\u001b[0m\n\u001b[1;32m     30\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, process_obj):\n\u001b[1;32m     31\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_fds \u001b[38;5;241m=\u001b[39m []\n\u001b[0;32m---> 32\u001b[0m     \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mprocess_obj\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/anaconda3/envs/premise/lib/python3.10/multiprocessing/popen_fork.py:19\u001b[0m, in \u001b[0;36mPopen.__init__\u001b[0;34m(self, process_obj)\u001b[0m\n\u001b[1;32m     17\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mreturncode \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m     18\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfinalizer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m---> 19\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_launch\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess_obj\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/anaconda3/envs/premise/lib/python3.10/multiprocessing/popen_spawn_posix.py:47\u001b[0m, in \u001b[0;36mPopen._launch\u001b[0;34m(self, process_obj)\u001b[0m\n\u001b[1;32m     45\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m     46\u001b[0m     reduction\u001b[38;5;241m.\u001b[39mdump(prep_data, fp)\n\u001b[0;32m---> 47\u001b[0m     \u001b[43mreduction\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdump\u001b[49m\u001b[43m(\u001b[49m\u001b[43mprocess_obj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfp\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     48\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m     49\u001b[0m     set_spawning_popen(\u001b[38;5;28;01mNone\u001b[39;00m)\n",
-      "File \u001b[0;32m~/anaconda3/envs/premise/lib/python3.10/multiprocessing/reduction.py:60\u001b[0m, in \u001b[0;36mdump\u001b[0;34m(obj, file, protocol)\u001b[0m\n\u001b[1;32m     58\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdump\u001b[39m(obj, file, protocol\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m     59\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m'''Replacement for pickle.dump() using ForkingPickler.'''\u001b[39;00m\n\u001b[0;32m---> 60\u001b[0m     \u001b[43mForkingPickler\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mprotocol\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdump\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n",
-      "\u001b[0;31mAttributeError\u001b[0m: Can't pickle local object 'main.<locals>.<lambda>'"
+      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
+      "\u001B[0;31mAttributeError\u001B[0m                            Traceback (most recent call last)",
+      "Cell \u001B[0;32mIn[9], line 31\u001B[0m\n\u001B[1;32m     28\u001B[0m         process\u001B[38;5;241m.\u001B[39mjoin()\n\u001B[1;32m     30\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;18m__name__\u001B[39m \u001B[38;5;241m==\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m__main__\u001B[39m\u001B[38;5;124m\"\u001B[39m:\n\u001B[0;32m---> 31\u001B[0m     \u001B[43mmain\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n",
+      "Cell \u001B[0;32mIn[9], line 25\u001B[0m, in \u001B[0;36mmain\u001B[0;34m()\u001B[0m\n\u001B[1;32m     23\u001B[0m     process \u001B[38;5;241m=\u001B[39m Process(target\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mlambda\u001B[39;00m: configure_logging(current_process()\u001B[38;5;241m.\u001B[39mpid)\u001B[38;5;241m.\u001B[39minfo(\u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mThis is an info message from process \u001B[39m\u001B[38;5;132;01m{\u001B[39;00mcurrent_process()\u001B[38;5;241m.\u001B[39mpid\u001B[38;5;132;01m}\u001B[39;00m\u001B[38;5;124m.\u001B[39m\u001B[38;5;124m\"\u001B[39m))\n\u001B[1;32m     24\u001B[0m     processes\u001B[38;5;241m.\u001B[39mappend(process)\n\u001B[0;32m---> 25\u001B[0m     \u001B[43mprocess\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mstart\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m     27\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m process \u001B[38;5;129;01min\u001B[39;00m processes:\n\u001B[1;32m     28\u001B[0m     process\u001B[38;5;241m.\u001B[39mjoin()\n",
+      "File \u001B[0;32m~/anaconda3/envs/premise/lib/python3.10/multiprocessing/process.py:121\u001B[0m, in \u001B[0;36mBaseProcess.start\u001B[0;34m(self)\u001B[0m\n\u001B[1;32m    118\u001B[0m \u001B[38;5;28;01massert\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m _current_process\u001B[38;5;241m.\u001B[39m_config\u001B[38;5;241m.\u001B[39mget(\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mdaemon\u001B[39m\u001B[38;5;124m'\u001B[39m), \\\n\u001B[1;32m    119\u001B[0m        \u001B[38;5;124m'\u001B[39m\u001B[38;5;124mdaemonic processes are not allowed to have children\u001B[39m\u001B[38;5;124m'\u001B[39m\n\u001B[1;32m    120\u001B[0m _cleanup()\n\u001B[0;32m--> 121\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_popen \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_Popen\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m)\u001B[49m\n\u001B[1;32m    122\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_sentinel \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_popen\u001B[38;5;241m.\u001B[39msentinel\n\u001B[1;32m    123\u001B[0m \u001B[38;5;66;03m# Avoid a refcycle if the target function holds an indirect\u001B[39;00m\n\u001B[1;32m    124\u001B[0m \u001B[38;5;66;03m# reference to the process object (see bpo-30775)\u001B[39;00m\n",
+      "File \u001B[0;32m~/anaconda3/envs/premise/lib/python3.10/multiprocessing/context.py:224\u001B[0m, in \u001B[0;36mProcess._Popen\u001B[0;34m(process_obj)\u001B[0m\n\u001B[1;32m    222\u001B[0m \u001B[38;5;129m@staticmethod\u001B[39m\n\u001B[1;32m    223\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21m_Popen\u001B[39m(process_obj):\n\u001B[0;32m--> 224\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43m_default_context\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mget_context\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mProcess\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_Popen\u001B[49m\u001B[43m(\u001B[49m\u001B[43mprocess_obj\u001B[49m\u001B[43m)\u001B[49m\n",
+      "File \u001B[0;32m~/anaconda3/envs/premise/lib/python3.10/multiprocessing/context.py:288\u001B[0m, in \u001B[0;36mSpawnProcess._Popen\u001B[0;34m(process_obj)\u001B[0m\n\u001B[1;32m    285\u001B[0m \u001B[38;5;129m@staticmethod\u001B[39m\n\u001B[1;32m    286\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21m_Popen\u001B[39m(process_obj):\n\u001B[1;32m    287\u001B[0m     \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mpopen_spawn_posix\u001B[39;00m \u001B[38;5;28;01mimport\u001B[39;00m Popen\n\u001B[0;32m--> 288\u001B[0m     \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mPopen\u001B[49m\u001B[43m(\u001B[49m\u001B[43mprocess_obj\u001B[49m\u001B[43m)\u001B[49m\n",
+      "File \u001B[0;32m~/anaconda3/envs/premise/lib/python3.10/multiprocessing/popen_spawn_posix.py:32\u001B[0m, in \u001B[0;36mPopen.__init__\u001B[0;34m(self, process_obj)\u001B[0m\n\u001B[1;32m     30\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21m__init__\u001B[39m(\u001B[38;5;28mself\u001B[39m, process_obj):\n\u001B[1;32m     31\u001B[0m     \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_fds \u001B[38;5;241m=\u001B[39m []\n\u001B[0;32m---> 32\u001B[0m     \u001B[38;5;28;43msuper\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[38;5;21;43m__init__\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43mprocess_obj\u001B[49m\u001B[43m)\u001B[49m\n",
+      "File \u001B[0;32m~/anaconda3/envs/premise/lib/python3.10/multiprocessing/popen_fork.py:19\u001B[0m, in \u001B[0;36mPopen.__init__\u001B[0;34m(self, process_obj)\u001B[0m\n\u001B[1;32m     17\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mreturncode \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mNone\u001B[39;00m\n\u001B[1;32m     18\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mfinalizer \u001B[38;5;241m=\u001B[39m \u001B[38;5;28;01mNone\u001B[39;00m\n\u001B[0;32m---> 19\u001B[0m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_launch\u001B[49m\u001B[43m(\u001B[49m\u001B[43mprocess_obj\u001B[49m\u001B[43m)\u001B[49m\n",
+      "File \u001B[0;32m~/anaconda3/envs/premise/lib/python3.10/multiprocessing/popen_spawn_posix.py:47\u001B[0m, in \u001B[0;36mPopen._launch\u001B[0;34m(self, process_obj)\u001B[0m\n\u001B[1;32m     45\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m     46\u001B[0m     reduction\u001B[38;5;241m.\u001B[39mdump(prep_data, fp)\n\u001B[0;32m---> 47\u001B[0m     \u001B[43mreduction\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mdump\u001B[49m\u001B[43m(\u001B[49m\u001B[43mprocess_obj\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mfp\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m     48\u001B[0m \u001B[38;5;28;01mfinally\u001B[39;00m:\n\u001B[1;32m     49\u001B[0m     set_spawning_popen(\u001B[38;5;28;01mNone\u001B[39;00m)\n",
+      "File \u001B[0;32m~/anaconda3/envs/premise/lib/python3.10/multiprocessing/reduction.py:60\u001B[0m, in \u001B[0;36mdump\u001B[0;34m(obj, file, protocol)\u001B[0m\n\u001B[1;32m     58\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mdump\u001B[39m(obj, file, protocol\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mNone\u001B[39;00m):\n\u001B[1;32m     59\u001B[0m \u001B[38;5;250m    \u001B[39m\u001B[38;5;124;03m'''Replacement for pickle.dump() using ForkingPickler.'''\u001B[39;00m\n\u001B[0;32m---> 60\u001B[0m     \u001B[43mForkingPickler\u001B[49m\u001B[43m(\u001B[49m\u001B[43mfile\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mprotocol\u001B[49m\u001B[43m)\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mdump\u001B[49m\u001B[43m(\u001B[49m\u001B[43mobj\u001B[49m\u001B[43m)\u001B[49m\n",
+      "\u001B[0;31mAttributeError\u001B[0m: Can't pickle local object 'main.<locals>.<lambda>'"
      ]
     }
    ],
diff --git a/premise/cement.py b/premise/cement.py
index 9a4848d6..90cdb9c6 100644
--- a/premise/cement.py
+++ b/premise/cement.py
@@ -235,8 +235,8 @@ def rescale_emissions(self, dataset: dict, energy_details: dict) -> dict:
                     }
                 )
 
-                # remove 525 kg for calcination
-                exc["amount"] = 0.525 + (total_fossil_CO2 / 1000)
+                # remove 543 kg for calcination
+                exc["amount"] = 0.543 + (total_fossil_CO2 / 1000)
                 dataset["log parameters"].update(
                     {
                         "new fossil CO2": exc["amount"],
@@ -286,7 +286,7 @@ def build_CCS_datasets(self):
 
                 for region, dataset in datasets.items():
                     for exc in ws.technosphere(
-                        dataset, ws.contains("name", "heat production")
+                        dataset, ws.contains("unit", "megajoule")
                     ):
                         exc["amount"] = fossil_heat_input
 
@@ -342,6 +342,9 @@ def build_clinker_production_datasets(self) -> list:
             name="clinker production",
             ref_prod="clinker",
             production_variable="cement, dry feed rotary kiln",
+            geo_mapping={
+                r: "Europe without Switzerland" for r in self.regions
+            }
         )
 
         for variable in variables:
@@ -375,6 +378,11 @@ def build_clinker_production_datasets(self) -> list:
                         d["energy"] for d in energy_details.values()
                     )
 
+                    if region=="WEU":
+                        from pprint import pprint
+                        print(region, current_energy_input_per_ton_clinker)
+                        pprint(energy_details)
+
                     # fetch the amount of biogenic CO2 emissions
                     bio_CO2 = sum(
                         e["amount"]
@@ -419,6 +427,8 @@ def build_clinker_production_datasets(self) -> list:
                     current_energy_input_per_ton_clinker += (
                         energy_input_waste_fuel * 1000
                     )
+                    if region=="WEU":
+                        print(current_energy_input_per_ton_clinker)
 
                     # add the waste fuel input to the dataset
                     if amount_waste_fuel != 0:
@@ -456,6 +466,9 @@ def build_clinker_production_datasets(self) -> list:
                         location=dataset["location"],
                     )
 
+                    if region=="WEU":
+                        print(scaling_factor)
+
                     new_energy_input_per_ton_clinker = 0
 
                     if not np.isnan(scaling_factor) and scaling_factor > 0.0:
@@ -464,6 +477,8 @@ def build_clinker_production_datasets(self) -> list:
                         new_energy_input_per_ton_clinker = (
                             current_energy_input_per_ton_clinker * scaling_factor
                         )
+                        if region=="WEU":
+                            print("new", new_energy_input_per_ton_clinker)
 
                         # put a floor value of 3100 kj/kg clinker
                         if new_energy_input_per_ton_clinker < 3100:
@@ -477,6 +492,9 @@ def build_clinker_production_datasets(self) -> list:
                             / current_energy_input_per_ton_clinker
                         )
 
+                        if region=="WEU":
+                            print("new scaling factor", scaling_factor)
+
                         # but if efficient kiln, set the energy input to 3100 kJ/kg clinker
                         if variable.startswith(
                             "cement, dry feed rotary kiln, efficient"
@@ -556,7 +574,7 @@ def build_clinker_production_datasets(self) -> list:
                             "cement, dry feed rotary kiln, efficient, with on-site CCS": {
                                 "name": "carbon dioxide, captured at cement production plant, using direct separation",
                                 "reference product": "carbon dioxide, captured at cement plant",
-                                "capture share": 0.9,  # only 90% of process emissions (calcination) are captured
+                                "capture share": 0.95,  # 95% of process emissions (calcination) are captured
                             },
                             "cement, dry feed rotary kiln, efficient, with oxyfuel CCS": {
                                 "name": "carbon dioxide, captured at cement production plant, using oxyfuel",
@@ -584,7 +602,7 @@ def build_clinker_production_datasets(self) -> list:
                             ):
                                 # only 90% of process emissions (calcination) are captured
                                 CCS_amount = (
-                                    0.525 * ccs_datasets[variable]["capture share"]
+                                    0.543 * ccs_datasets[variable]["capture share"]
                                 )
                             else:
                                 CCS_amount = (
diff --git a/premise/data/additional_inventories/lci-carbon-capture.xlsx b/premise/data/additional_inventories/lci-carbon-capture.xlsx
index 9a93d895..d64ba88c 100644
Binary files a/premise/data/additional_inventories/lci-carbon-capture.xlsx and b/premise/data/additional_inventories/lci-carbon-capture.xlsx differ