diff --git a/oemof_examples/oemof.solph/v0.3.x/sdewes_paper_2017/economic_dispatch.py b/oemof_examples/oemof.solph/v0.3.x/sdewes_paper_2017/economic_dispatch.py new file mode 100644 index 0000000..3c6b3f9 --- /dev/null +++ b/oemof_examples/oemof.solph/v0.3.x/sdewes_paper_2017/economic_dispatch.py @@ -0,0 +1,219 @@ +# -*- coding: utf-8 -*- +""" +General description +------------------- +Example from the SDEWES conference paper: + +Simon Hilpert, Cord Kaldemeyer, Uwe Krien, Stephan Günther (2017). +'Solph - An Open Multi Purpose Optimisation Library for Flexible + Energy System Analysis'. Paper presented at SDEWES Conference, + Dubrovnik. + + +Data +---- +timeseries.csv + + +Installation requirements +------------------------- +This example requires the latest version of oemof and others. Install by: + + pip install oemof matplotlib networkx pygraphviz + +""" +import os +import pandas as pd +import networkx as nx +from matplotlib import pyplot as plt + +from oemof.network import Node +from oemof.outputlib import processing +from oemof.solph import (EnergySystem, Bus, Source, Sink, Flow, NonConvex, + Model, Transformer, components) +from oemof.graph import create_nx_graph as create_graph + + +def draw_graph(grph, edge_labels=True, node_color='#AFAFAF', + edge_color='#CFCFCF', plot=True, node_size=2000, + with_labels=True, arrows=True, layout='neato'): + """ + Draw a graph. This function will be removed in future versions. + + Parameters + ---------- + grph : networkxGraph + A graph to draw. + edge_labels : boolean + Use nominal values of flow as edge label + node_color : dict or string + Hex color code oder matplotlib color for each node. If string, all + colors are the same. + + edge_color : string + Hex color code oder matplotlib color for edge color. + + plot : boolean + Show matplotlib plot. + + node_size : integer + Size of nodes. + + with_labels : boolean + Draw node labels. + + arrows : boolean + Draw arrows on directed edges. Works only if an optimization_model has + been passed. + layout : string + networkx graph layout, one of: neato, dot, twopi, circo, fdp, sfdp. + """ + if type(node_color) is dict: + node_color = [node_color.get(g, '#AFAFAF') for g in grph.nodes()] + + # set drawing options + options = { + 'prog': 'dot', + 'with_labels': with_labels, + 'node_color': node_color, + 'edge_color': edge_color, + 'node_size': node_size, + 'arrows': arrows + } + + # draw graph + pos = nx.drawing.nx_agraph.graphviz_layout(grph, prog=layout) + + nx.draw(grph, pos=pos, **options) + + # add edge labels for all edges + if edge_labels is True and plt: + labels = nx.get_edge_attributes(grph, 'weight') + nx.draw_networkx_edge_labels(grph, pos=pos, edge_labels=labels) + + # show output + if plot is True: + plt.show() + + +timeindex = pd.date_range('1/1/2017', periods=168, freq='H') + +energysystem = EnergySystem(timeindex=timeindex) +Node.registry = energysystem +########################################################################## +# data +########################################################################## +# Read data file +full_filename = os.path.join(os.path.dirname(__file__), + 'timeseries.csv') +timeseries = pd.read_csv(full_filename, sep=',') + + +########################################################################## +# Create oemof object +########################################################################## + +bel = Bus(label='bel') + +Sink(label='demand_el', + inputs={ + bel: Flow(actual_value=timeseries['demand_el'], + fixed=True, nominal_value=100)}) + +Source(label='pp_wind', + outputs={ + bel: Flow(nominal_value=40, fixed=True, + actual_value=timeseries['wind'])}) + +Source(label='pp_pv', + outputs={ + bel: Flow(nominal_value=20, fixed=True, + actual_value=timeseries['pv'])}) + +Source(label='pp_gas', + outputs={ + bel: Flow(nominal_value=50, nonconvex=NonConvex(), + variable_costs=60, + negative_gradient={'ub': 0.05, 'costs': 0}, + positive_gradient={'ub': 0.05, 'costs': 0})}) + +Source(label='pp_bio', + outputs={ + bel: Flow(nominal_value=5, + variable_costs=100)}) + +components.GenericStorage( + label='storage_el', + inputs={ + bel: Flow()}, + outputs={ + bel: Flow()}, + nominal_capacity=40, + nominal_input_capacity_ratio=1/10, + nominal_output_capacity_ratio=1/10, +) + +# heat componentes +bth = Bus(label='bth') + +bgas = Bus(label='bgas') + +Source(label='gas', + outputs={ + bgas: Flow()}) + + +Sink(label='demand_th', + inputs={ + bth: Flow(actual_value=timeseries['demand_th'], + fixed=True, nominal_value=100)}) + +Transformer(label='pth', + inputs={ + bel: Flow()}, + outputs={ + bth: Flow(nominal_value=30)}, + conversion_factors={bth: 0.99}) + +Transformer(label='chp', + inputs={ + bgas: Flow(variable_costs=80)}, + outputs={ + bel: Flow(nominal_value=40), + bth: Flow()}, + conversion_factors={bel: 0.4, + bth: 0.4}) + +Source(label='boiler_bio', + outputs={ + bth: Flow(nominal_value=100, + variable_costs=60)}) + +components.GenericStorage( + label='storage_th', + inputs={ + bth: Flow()}, + outputs={ + bth: Flow()}, + nominal_capacity=30, + nominal_input_capacity_ratio=1/8, + nominal_output_capacity_ratio=1/8, +) + +########################################################################## +# Create model and solve +########################################################################## + +m = Model(energysystem) +# emission_limit(m, flows=m.flows, limit=954341) + +# m.write('test_nc.lp', io_options={'symbolic_solver_labels': True}) + +m.solve(solver='cbc', solve_kwargs={'tee': True}) + +results = processing.results(m) + + +graph = create_graph(energysystem, m) +draw_graph(graph, plot=True, layout='neato', node_size=3000, + node_color={'bel': '#7EC0EE', 'bgas': '#eeac7e', 'bth': '#cd3333'}) diff --git a/oemof_examples/oemof.solph/v0.3.x/sdewes_paper_2017/micro_grid_design_optimisation.py b/oemof_examples/oemof.solph/v0.3.x/sdewes_paper_2017/micro_grid_design_optimisation.py new file mode 100644 index 0000000..028a35a --- /dev/null +++ b/oemof_examples/oemof.solph/v0.3.x/sdewes_paper_2017/micro_grid_design_optimisation.py @@ -0,0 +1,198 @@ +# -*- coding: utf-8 -*- +""" +General description +------------------- +Example from the SDEWES conference paper: + +Simon Hilpert, Cord Kaldemeyer, Uwe Krien, Stephan Günther (2017). +'Solph - An Open Multi Purpose Optimisation Library for Flexible + Energy System Analysis'. Paper presented at SDEWES Conference, + Dubrovnik. + + +Data +---- +timeseries.csv + +Installation requirements +------------------------- +This example requires the latest version of oemof and others. Install by: + + pip install oemof matplotlib networkx pygraphviz + +""" +import os +import pandas as pd +import networkx as nx +from matplotlib import pyplot as plt + +from oemof.network import Node +from oemof.outputlib import processing, views +from oemof.solph import (EnergySystem, Bus, Source, Sink, Flow, + Model, Investment, components) +from oemof.tools import economics +from oemof.graph import create_nx_graph as create_graph + + +def draw_graph(grph, edge_labels=True, node_color='#AFAFAF', + edge_color='#CFCFCF', plot=True, node_size=2000, + with_labels=True, arrows=True, layout='neato'): + """ + Draw a graph. This function will be removed in future versions. + + Parameters + ---------- + grph : networkxGraph + A graph to draw. + edge_labels : boolean + Use nominal values of flow as edge label + node_color : dict or string + Hex color code oder matplotlib color for each node. If string, all + colors are the same. + + edge_color : string + Hex color code oder matplotlib color for edge color. + + plot : boolean + Show matplotlib plot. + + node_size : integer + Size of nodes. + + with_labels : boolean + Draw node labels. + + arrows : boolean + Draw arrows on directed edges. Works only if an optimization_model has + been passed. + layout : string + networkx graph layout, one of: neato, dot, twopi, circo, fdp, sfdp. + """ + if type(node_color) is dict: + node_color = [node_color.get(g, '#AFAFAF') for g in grph.nodes()] + + # set drawing options + options = { + 'prog': 'dot', + 'with_labels': with_labels, + 'node_color': node_color, + 'edge_color': edge_color, + 'node_size': node_size, + 'arrows': arrows + } + + # draw graph + pos = nx.drawing.nx_agraph.graphviz_layout(grph, prog=layout) + + nx.draw(grph, pos=pos, **options) + + # add edge labels for all edges + if edge_labels is True and plt: + labels = nx.get_edge_attributes(grph, 'weight') + nx.draw_networkx_edge_labels(grph, pos=pos, edge_labels=labels) + + # show output + if plot is True: + plt.show() + + +timeindex = pd.date_range('1/1/2017', periods=8760, freq='H') + +energysystem = EnergySystem(timeindex=timeindex) +Node.registry = energysystem +################################################################# +# data +################################################################# +# Read data file +full_filename = os.path.join(os.path.dirname(__file__), + 'timeseries.csv') +timeseries = pd.read_csv(full_filename, sep=',') + +costs = {'pp_wind': { + 'epc': economics.annuity(capex=1000, n=20, wacc=0.05)}, + 'pp_pv': { + 'epc': economics.annuity(capex=750, n=20, wacc=0.05)}, + 'pp_diesel': { + 'epc': economics.annuity(capex=300, n=10, wacc=0.05), + 'var': 30}, + 'pp_bio': { + 'epc': economics.annuity(capex=1000, n=10, wacc=0.05), + 'var': 50}, + 'storage': { + 'epc': economics.annuity(capex=1500, n=10, wacc=0.05), + 'var': 0}} +################################################################# +# Create oemof object +################################################################# + +bel = Bus(label='micro_grid') + +Sink(label='excess', + inputs={bel: Flow(variable_costs=10e3)}) + +Source(label='pp_wind', + outputs={ + bel: Flow(nominal_value=None, fixed=True, + actual_value=timeseries['wind'], + investment=Investment(ep_costs=costs['pp_wind']['epc']))}) + +Source(label='pp_pv', + outputs={ + bel: Flow(nominal_value=None, fixed=True, + actual_value=timeseries['pv'], + investment=Investment(ep_costs=costs['pp_wind']['epc']))}) + +Source(label='pp_diesel', + outputs={ + bel: Flow(nominal_value=None, + variable_costs=costs['pp_diesel']['var'], + investment=Investment(ep_costs=costs['pp_diesel']['epc']))} + ) + +Source(label='pp_bio', + outputs={ + bel: Flow(nominal_value=None, + variable_costs=costs['pp_bio']['var'], + summed_max=300e3, + investment=Investment(ep_costs=costs['pp_bio']['epc']))}) + +Sink(label='demand_el', + inputs={ + bel: Flow(actual_value=timeseries['demand_el'], + fixed=True, nominal_value=500)}) + +components.GenericStorage( + label='storage', + inputs={ + bel: Flow()}, + outputs={ + bel: Flow()}, + capacity_loss=0.00, + initial_capacity=0.5, + invest_relation_input_capacity=1/6, + invest_relation_output_capacity=1/6, + inflow_conversion_factor=0.95, + outflow_conversion_factor=0.95, + investment=Investment(ep_costs=costs['storage']['epc'])) + +################################################################# +# Create model and solve +################################################################# + +m = Model(energysystem) + +# om.write(filename, io_options={'symbolic_solver_labels': True}) + +m.solve(solver='cbc', solve_kwargs={'tee': True}) + +results = processing.results(m) + +views.node(results, 'storage') + +views.node(results, 'micro_grid')['sequences'].plot(drawstyle='steps') + +plt.show() + +graph = create_graph(energysystem, m) +draw_graph(graph, plot=True, layout='neato', node_size=3000, arrows=False, + node_color={'micro_grid': '#7EC0EE'}) diff --git a/oemof_examples/oemof.solph/v0.3.x/sdewes_paper_2017/timeseries.csv b/oemof_examples/oemof.solph/v0.3.x/sdewes_paper_2017/timeseries.csv new file mode 100644 index 0000000..0045863 --- /dev/null +++ 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Optimisation Library for Flexible + Energy System Analysis'. Paper presented at SDEWES Conference, + Dubrovnik. + + +Data +---- +timeseries.csv + + +Installation requirements +------------------------- +This example requires the latest version of oemof and others. Install by: + + pip install oemof matplotlib networkx pygraphviz + +""" +import os +import pandas as pd +import networkx as nx +from matplotlib import pyplot as plt + +from oemof.network import Node +from oemof.outputlib import processing, views +from oemof.solph import (EnergySystem, Bus, Source, Sink, Flow, NonConvex, + Model, Transformer, components) +from oemof.graph import create_nx_graph as create_graph + + +def draw_graph(grph, edge_labels=True, node_color='#AFAFAF', + edge_color='#CFCFCF', plot=True, node_size=2000, + with_labels=True, arrows=True, layout='neato'): + """ + Draw a graph. This function will be removed in future versions. + + Parameters + ---------- + grph : networkxGraph + A graph to draw. + edge_labels : boolean + Use nominal values of flow as edge label + node_color : dict or string + Hex color code oder matplotlib color for each node. If string, all + colors are the same. + + edge_color : string + Hex color code oder matplotlib color for edge color. + + plot : boolean + Show matplotlib plot. + + node_size : integer + Size of nodes. + + with_labels : boolean + Draw node labels. + + arrows : boolean + Draw arrows on directed edges. Works only if an optimization_model has + been passed. + layout : string + networkx graph layout, one of: neato, dot, twopi, circo, fdp, sfdp. + """ + if type(node_color) is dict: + node_color = [node_color.get(g, '#AFAFAF') for g in grph.nodes()] + + # set drawing options + options = { + 'prog': 'dot', + 'with_labels': with_labels, + 'node_color': node_color, + 'edge_color': edge_color, + 'node_size': node_size, + 'arrows': arrows + } + + # draw graph + pos = nx.drawing.nx_agraph.graphviz_layout(grph, prog=layout) + + nx.draw(grph, pos=pos, **options) + + # add edge labels for all edges + if edge_labels is True and plt: + labels = nx.get_edge_attributes(grph, 'weight') + nx.draw_networkx_edge_labels(grph, pos=pos, edge_labels=labels) + + # show output + if plot is True: + plt.show() + + +timeindex = pd.date_range('1/1/2017', periods=168, freq='H') + +energysystem = EnergySystem(timeindex=timeindex) +Node.registry = energysystem +########################################################################## +# data +########################################################################## +# Read data file +full_filename = os.path.join(os.path.dirname(__file__), + "timeseries.csv") +timeseries = pd.read_csv(full_filename, sep=",") + +########################################################################## +# Create oemof objects +########################################################################## + +bel = Bus(label="bel") + +bgas = Bus(label="bgas") + +bth = Bus(label="bth") + +Source(label="gas", + outputs={bgas: Flow(variable_costs=35)}) + +Transformer(label='boiler', + inputs={ + bgas: Flow()}, + outputs={ + bth: Flow(nominal_value=500, + variable_cost=50, + nonconvex=NonConvex())}, + conversion_factors={bth: 0.9}) + +Transformer(label='chp', + inputs={ + bgas: Flow()}, + outputs={ + bel: Flow(nominal_value=300, min=0.5, + nonconvex=NonConvex()), + bth: Flow()}, + conversion_factors={bth: 0.3, bel: 0.45}) + + +Sink(label='demand_th', + inputs={ + bth: Flow(actual_value=timeseries['demand_th'], + fixed=True, nominal_value=500)}) + +Sink(label='spot_el', + inputs={ + bel: Flow(variable_costs=timeseries['price_el'])}) + + +components.GenericStorage( + label='storage_th', + inputs={ + bth: Flow(nominal_value=1500/6)}, + outputs={ + bth: Flow(nominal_value=1500/6)}, + nominal_capacity=1500, + capacity_loss=0.00, + initial_capacity=0.5) + +########################################################################## +# Create model and solve +########################################################################## + +m = Model(energysystem) +# om.write(filename, io_options={'symbolic_solver_labels': True}) + +m.solve(solver='cbc', solve_kwargs={'tee': True}) + +results = processing.results(m) + +views.node(results, 'bth')['sequences'][1:168].plot(drawstyle='steps') +plt.show() + +graph = create_graph(energysystem, m) +draw_graph(graph, plot=True)