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update scenarios and descriptions
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‎EVER/README.md

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@@ -7,7 +7,7 @@ Using user defined recipes, use the EVER archetype as you would the Cycamore Rea
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graph LR
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A(Define fuels) --> B(Input fuel list)
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B --> C(List change times)
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C -- optional --> D(List new recipes)
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C -- optional --> D(List preferences)
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C --> E(Run)
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D --> E
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```

‎EVER/update/one_analysis.ipynb

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‎EVER/update/one_ever_update.xml

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<simulation xmlns:xi="http://www.w3.org/2001/XInclude">
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<control>
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<decay>lazy</decay>
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<duration>840</duration>
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<duration>20</duration>
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<startmonth>1</startmonth>
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<startyear>2020</startyear>
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</control>
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<product_commod>fresh_haleu</product_commod>
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<tails_commod>tails</tails_commod>
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<tails_assay>0.002</tails_assay>
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<max_enrich>0.17</max_enrich>
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<max_enrich>0.1975</max_enrich>
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<!-- Portsmouth Gaseous Diffusion Plant (OH) -->
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<latitude>39.008333</latitude>
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<longitude>-83</longitude>
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<facility>
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<name>EVER_Update_Reactor</name>
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<lifetime>720</lifetime>
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<lifetime>18</lifetime>
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<config>
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<Ever>
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<fuel_incommods>
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<fuel_outrecipes>
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<val>used_uox</val>
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</fuel_outrecipes>
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<recipe_update_times> <val>68</val> <val>268</val> </recipe_update_times>
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<recipe_update_times> <val>8</val> <val>14</val> </recipe_update_times>
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<recipe_update_commods>
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<val>fresh_haleu</val> <val>fresh_uox</val>
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</recipe_update_commods>
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<recipe_update_out>
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<val>used_haleu</val> <val>used_uox</val>
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</recipe_update_out>
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<cycle_time>18</cycle_time>
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<cycle_time>1</cycle_time>
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<refuel_time>1</refuel_time>
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<assem_size>33000</assem_size> <!-- in kg -->
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<n_assem_core>3</n_assem_core>
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</entry>
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</initialfacilitylist>
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<config>
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<xi:include href="update_deployinst1.xml"/>
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<xi:include href="update_deployinst.xml"/>
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</config>
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</institution>
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</region>

‎EVER/update/one_update_deployinst.xml

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<val>EVER_Update_Reactor</val>
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</prototypes>
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<build_times>
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<val>10</val>
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<val>2</val>
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</build_times>
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<n_build>
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<val>1</val>

‎baseline/README.md

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# Baseline Scenarios
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These scenarios are designed to establish the existing capabilities of the
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[Cycamore Reactor](https://fuelcycle.org/user/cycamoreagents.html#cycamore-reactor).
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These capabilities are:
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1. The ability to change a recipe with the `recipe_change` tag.
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1. The ability to change the fuel preference with `fuel_prefs`.
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## Base Single Reactor
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In this scenario, a single reactor is deployed with a single fuel type over a
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set deployment and decommissioning timeline.
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## Cycamore Multiple Enrichment
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In this scenario, we use the Cycamore Reactor's ability to change the
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preference to change the fuel type twice. There are two fuel types, and the
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reactor toggles twice:
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```
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Fuel A -> Fuel B -> Fuel A.
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```
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## Baseline Recycle Reactor
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In this scenario two reactors are deployed in series:
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```
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Enrichment -> Base Reactor -> Separations Facility -> Fuel Fabrication-> Recycle Reactor.
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```
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The first reactor uses UOx fuel, and the second reactor uses MOx fuel, both
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reactors are the Cycamore archetype.
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## Mock CLOVER
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In this scenario we employed one method of mimicking the effect of changing the
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core loading over time by creating different recipes for assemblies at
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different locations and matching preference changes to back-of-the-envelope
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calculations.

‎baseline/baseline_analysis.ipynb

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‎baseline/cycamore_me_test_analysis.ipynb

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"outputs": [],
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"source": [
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"import cymetric as cym\n",
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"from cymetric import filters\n",
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"from cymetric import graphs\n",
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"from cymetric import timeseries\n",
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"from cymetric import tools\n",
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"import graphviz\n",
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"import sqlite3"
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]
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},
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 6,
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"id": "39a8276f",
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"metadata": {},
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"outputs": [
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"</svg>\n"
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],
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"text/plain": [
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},
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"execution_count": 4,
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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"isotope_db = waste.isotope_database(evaler=evaler,receivers=receivers, commodities=commodities, isotopes=all_isotopes)"
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]
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},
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{
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{
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"execution_count": 15,

‎scripts/README.md

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We direct you to ARFC's
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[transition-scenarios](https://github.com/arfc/transition-scenarios) and
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[cymetric](https://github.com/cyclus/cymetric) to perform analysis on your own
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results as those tools are intended to be more generally applicable.
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results as those tools are intended to be more generally applicable.
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## Quirks
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I will try to list the assumptions and quirks made in the scripts for posterity.
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### fuel_transactions.py
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1. All fuels are assumed to have `fresh_<fuelname>` and `used_<fuelname>` as quantities of interest.

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