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Also note that for ASCII input, the value must be repeated for each step where the schedule should be valid.\n", "\n", "The example below shows how the end volume is scheduled to 3 by setting [schedule_flag](reservoir:schedule_flag) 1:" ] }, { "cell_type": "code", "execution_count": 1, "id": "2fdf37c0", "metadata": { "Collapsed": "false" }, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "name": "Reservoir storage", "type": "scatter", "x": [ "2018-02-27T00:00:00", "2018-02-27T01:00:00", "2018-02-27T02:00:00", "2018-02-27T03:00:00", "2018-02-27T04:00:00", "2018-02-27T05:00:00", "2018-02-27T06:00:00", "2018-02-27T07:00:00", "2018-02-27T08:00:00", "2018-02-27T09:00:00", "2018-02-27T10:00:00", "2018-02-27T11:00:00", "2018-02-27T12:00:00", "2018-02-27T13:00:00", "2018-02-27T14:00:00", "2018-02-27T15:00:00", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from pyshop import ShopSession\n", "from basic import build_model\n", "import pandas as pd\n", "import numpy as np\n", "import plotly.graph_objs as go\n", "\n", "\n", "shop = ShopSession()\n", "build_model(shop)\n", "starttime = shop.get_time_resolution()['starttime']\n", "\n", "discharge_river = shop.model.river.add_object('DischargeRiver')\n", "discharge_river.upstream_elevation.set(43)\n", "discharge_river.downstream_elevation.set(0)\n", "discharge_river.width_depth_curve.set(pd.Series(index=[10, 10], data=[0, 7]))\n", "shop.model.reservoir.Reservoir2.connect_to(discharge_river)\n", "\n", "shop.model.reservoir.Reservoir1.start_vol.set(6)\n", "shop.model.reservoir.Reservoir1.schedule.set(\n", " pd.Series(\n", " index=[starttime + pd.Timedelta(hours=t) for t in range(0,24,6)],\n", " data=[6, 5, 4, 3]\n", " )\n", ")\n", "shop.model.reservoir.Reservoir1.schedule_flag.set(1)\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "shop = ShopSession()\n", "build_model(shop)\n", "starttime = shop.get_time_resolution()['starttime']\n", "\n", "discharge_river = shop.model.river.add_object('DischargeRiver')\n", "discharge_river.upstream_elevation.set(43)\n", "discharge_river.downstream_elevation.set(0)\n", "discharge_river.width_depth_curve.set(pd.Series(index=[10, 10], data=[0, 7]))\n", "shop.model.reservoir.Reservoir2.connect_to(discharge_river)\n", "\n", "shop.model.reservoir.Reservoir1.start_vol.set(6)\n", "shop.model.reservoir.Reservoir1.schedule.set(\n", " pd.Series(\n", " index=[starttime + pd.Timedelta(hours=t) for t in range(0,24,6)],\n", " data=[6, 5, 4, 3]\n", " )\n", ")\n", "shop.model.reservoir.Reservoir1.schedule_flag.set(\n", " pd.Series(\n", " index=[starttime, starttime + pd.Timedelta(hours=6), starttime + pd.Timedelta(hours=7), starttime + pd.Timedelta(hours=13), starttime + pd.Timedelta(hours=14)],\n", " data=[0, 2, 0, 2, 0]\n", " )\n", ")\n", "shop.model.reservoir.Reservoir1.inflow.set(30)\n", "\n", "shop.start_sim([], [3])\n", "reservoir_volume = shop.model.reservoir.Reservoir1.storage.get()\n", "\n", "fig = go.Figure()\n", "fig.add_trace(go.Scatter(x=reservoir_volume.index, y=reservoir_volume.values, name=\"Reservoir storage\"))\n", "fig.update_layout(xaxis_title=\"Time\", yaxis_title=\"Volume\")\n", "\n", "fig.show()" ] }, { "cell_type": "markdown", "id": "41d0d88b", "metadata": {}, "source": [ "The final example shows how slack can be used to expand the permitted end schedule value. The upper- and lower slack are 3.3 and 2.7 respectively. In the case, the water value is higher than the price hence the reservoir end volume is bounded by the upper slack value:" ] }, { "cell_type": "code", "execution_count": 3, "id": "cd07a887", "metadata": { "Collapsed": "false" }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "name": "Reservoir storage", "type": "scatter", "x": [ "2018-02-27T00:00:00", "2018-02-27T01:00:00", "2018-02-27T02:00:00", "2018-02-27T03:00:00", "2018-02-27T04:00:00", "2018-02-27T05:00:00", "2018-02-27T06:00:00", "2018-02-27T07:00:00", "2018-02-27T08:00:00", "2018-02-27T09:00:00", "2018-02-27T10:00:00", "2018-02-27T11:00:00", "2018-02-27T12:00:00", "2018-02-27T13:00:00", "2018-02-27T14:00:00", "2018-02-27T15:00:00", "2018-02-27T16:00:00", "2018-02-27T17:00:00", "2018-02-27T18:00:00", "2018-02-27T19:00:00", "2018-02-27T20:00:00", "2018-02-27T21:00:00", "2018-02-27T22:00:00", "2018-02-27T23:00:00", "2018-02-28T00:00:00" ], "y": [ 6.0, 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "shop = ShopSession()\n", "build_model(shop)\n", "starttime = shop.get_time_resolution()['starttime']\n", "\n", "discharge_river = shop.model.river.add_object('DischargeRiver')\n", "discharge_river.upstream_elevation.set(43)\n", "discharge_river.downstream_elevation.set(0)\n", "discharge_river.width_depth_curve.set(pd.Series(index=[10, 10], data=[0, 7]))\n", "shop.model.reservoir.Reservoir2.connect_to(discharge_river)\n", "\n", "shop.model.reservoir.Reservoir1.start_vol.set(6)\n", "shop.model.reservoir.Reservoir1.schedule.set(\n", " pd.Series(\n", " index=[starttime + pd.Timedelta(hours=t) for t in range(0,24,6)],\n", " data=[6, 5, 4, 3]\n", " )\n", ")\n", "shop.model.reservoir.Reservoir1.schedule_flag.set(1)\n", "shop.model.reservoir.Reservoir1.upper_slack.set(3.3)\n", "shop.model.reservoir.Reservoir1.lower_slack.set(2.7)\n", "shop.model.reservoir.Reservoir1.inflow.set(30)\n", "\n", "shop.start_sim([], [3])\n", "reservoir_volume = shop.model.reservoir.Reservoir1.storage.get()\n", "\n", "fig = go.Figure()\n", "fig.add_trace(go.Scatter(x=reservoir_volume.index, y=reservoir_volume.values, name=\"Reservoir storage\"))\n", "fig.update_layout(xaxis_title=\"Time\", yaxis_title=\"Volume\")\n", "\n", "fig.show()" ] } ], "metadata": { "jupytext": { "text_representation": { "extension": ".md", "format_name": "myst", "format_version": 0.13, "jupytext_version": "1.13.8" } }, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.9" }, "source_map": [ 12, 20, 58, 62, 98, 102 ] }, "nbformat": 4, "nbformat_minor": 5 }