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Minor fixes
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@@ -149,11 +149,11 @@
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<li><a href="usage/">Usage</a></li>
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<li><a href="usage/">Usage</a></li>
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<li><a href="format/">Input and Output Data Formats</a></li>
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<li><a href="format/">Input and Output Data Formats</a></li>
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<li><a href="reports/">Simplified Solution Reports</a></li>
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<li><a href="reports/">Simplified Solution Reports</a></li>
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<li><a href="model/">Optimization model</a></li>
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<li><a href="model/">Optimization Model</a></li>
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</ul>
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</ul>
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<h3 id="source-code">Source Code</h3>
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<h3 id="source-code">Source Code</h3>
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<ul>
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<ul>
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<li><a href="https://anl-ceeesa.github.io/RELOG/">https://anl-ceeesa.github.io/RELOG/</a></li>
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<li><a href="https://github.com/ANL-CEEESA/RELOG">https://github.com/ANL-CEEESA/RELOG</a></li>
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</ul>
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</ul>
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<h3 id="authors">Authors</h3>
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<h3 id="authors">Authors</h3>
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<ul>
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<ul>
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@@ -290,5 +290,5 @@ POSSIBILITY OF SUCH DAMAGE.
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<!--
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<!--
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MkDocs version : 1.1.2
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MkDocs version : 1.1.2
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Build Date UTC : 2020-09-18 16:19:12.522909+00:00
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Build Date UTC : 2020-09-18 16:31:44.900364+00:00
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-->
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-->
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@@ -252,7 +252,7 @@ In the third line, we have the disposal costs.</p>
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\end{align}</script>
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\end{align}</script>
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</p>
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</p>
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<ul>
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<ul>
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<li>A plant is operation at time $t$ if it was operational at time $t-1$ or it was built at time $t$. This constraint also prevents a plant from being built multiple times.</li>
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<li>A plant is operational at time $t$ if it was operational at time $t-1$ or it was built at time $t$. This constraint also prevents a plant from being built multiple times.</li>
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</ul>
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</ul>
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<p>
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<p>
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<script type="math/tex; mode=display">\begin{align}
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<script type="math/tex; mode=display">\begin{align}
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@@ -245,11 +245,12 @@ import geopandas as gp
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# Plot base map
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# Plot base map
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world = gp.read_file(gp.datasets.get_path('naturalearth_lowres'))
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world = gp.read_file(gp.datasets.get_path('naturalearth_lowres'))
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world = world[world.continent == 'North America']
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ax = world.plot(color='white', edgecolor='50', figsize=(13,6))
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ax = world.plot(color='white', edgecolor='50', figsize=(15,15))
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ax.set_ylim([23, 50])
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ax.set_xlim([-128, -65])
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# Plot plant locations
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# Plot plant locations
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data = pd.read_csv("plants_report.csv")
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data = pd.read_csv("nimh_plants.csv")
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points = gp.points_from_xy(data["longitude (deg)"],
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points = gp.points_from_xy(data["longitude (deg)"],
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data["latitude (deg)"])
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data["latitude (deg)"])
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gp.GeoDataFrame(data, geometry=points).plot(ax=ax);
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gp.GeoDataFrame(data, geometry=points).plot(ax=ax);
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