121 lines
3.7 KiB
Python
121 lines
3.7 KiB
Python
import tsnet
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# Open an example network and create a transient model
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inp_file = '/Users/luxing/Code/TSNet/examples/networks/Tnet0.inp'
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tm = tsnet.network.TransientModel(inp_file)
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# Set wavespeed
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tm.set_wavespeed(1200.) # m/s
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# Set time options
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dt = 0.1
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tf = 60 # simulation period [s]
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tm.set_time(tf,dt)
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# Set valve closure
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tc = 0 # valve closure period [s]
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ts = 2 # valve closure start time [s]
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se = 0 # end open percentage [s]
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m = 1 # closure constant [dimensionless]
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valve_op = [tc,ts,se,m]
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tm.valve_closure('3',valve_op)
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# Initialize steady state simulation
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t0 = 0. # initialize the simulation at 0 [s]
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engine = 'DD' # demand driven simulator
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tm = tsnet.simulation.Initializer(tm, t0, engine)
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tank_height = 100 # tank height [m]
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water_height = 50 # initial water level [m]
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tank_node = '2'
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tank_area = 100 # tank cross sectional area [m^2]
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tm.add_surge_tank(tank_node, [tank_area], 'open')
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# Transient simulation
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results_obj = 'Tnet0' # name of the object for saving simulation results
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tm1 = tsnet.simulation.MOCSimulator(tm, results_obj)
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#%%
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tm = tsnet.network.TransientModel(inp_file)
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# Set wavespeed
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tm.set_wavespeed(1200.) # m/s
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# Set time options
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tm.set_time(tf,dt)
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# Set valve closure
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tm.valve_closure('3',valve_op)
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# Initialize steady state simulation
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t0 = 0. # initialize the simulation at 0 [s]
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engine = 'DD' # demand driven simulator
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tm = tsnet.simulation.Initializer(tm, t0, engine)
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tank_height = 100 # tank height [m]
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water_height =40 # initial water level [m]
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tank_node = '2'
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tank_area = 10 # tank cross sectional area [m^2]
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tm.add_surge_tank(tank_node, [tank_area,tank_height,water_height], 'closed')
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# Transient simulation
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results_obj = 'Tnet0' # name of the object for saving simulation results
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tm2 = tsnet.simulation.MOCSimulator(tm, results_obj)
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#%%
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tm = tsnet.network.TransientModel(inp_file)
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# Set wavespeed
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tm.set_wavespeed(1200.) # m/s
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# Set time options
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tm.set_time(tf,dt)
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# Set valve closure
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tm.valve_closure('3',valve_op)
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# Initialize steady state simulation
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t0 = 0. # initialize the simulation at 0 [s]
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engine = 'DD' # demand driven simulator
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tm = tsnet.simulation.Initializer(tm, t0, engine)
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# Transient simulation
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results_obj = 'Tnet0' # name of the object for saving simulation results
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tm3 = tsnet.simulation.MOCSimulator(tm, results_obj)
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#%%
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# report results
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import matplotlib.pyplot as plt
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node = '3'
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norm_head_nl1 = tm1.get_node(node).head - tm1.get_node(node).head[0]
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norm_head_nl2 = tm2.get_node(node).head - tm2.get_node(node).head[0]
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norm_head_nl3 = tm3.get_node(node).head - tm3.get_node(node).head[0]
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fig1 = plt.figure(figsize=(8,5), dpi=80, facecolor='w', edgecolor='k')
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plt.plot(tm.simulation_timestamps,norm_head_nl1,'r-',label='w surge tank $A_s=10m^2$', linewidth=2.5)
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plt.plot(tm.simulation_timestamps,norm_head_nl2,'g-',label='w surge tank $A_s=100m^2$', linewidth=2.5)
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plt.plot(tm.simulation_timestamps,norm_head_nl3,'k-',label='wo surge tank', linewidth=2.5)
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plt.xlim([tm.simulation_timestamps[0],tm.simulation_timestamps[-1]])
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plt.title('Node %s' %node)
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plt.xlabel("Time [s]")
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plt.ylabel("Pressure Head Change [m]")
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plt.legend(loc='best')
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plt.grid(False)
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plt.show()
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# fig1.savefig('./docs/figures/tnet1_node.png', format='png',dpi=100)
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#%%
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# report results
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import matplotlib.pyplot as plt
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node1 = tm1.get_node(tank_node)
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t1 = tm1.simulation_timestamps
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node2 = tm2.get_node(tank_node)
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t2 = tm1.simulation_timestamps
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fig = plt.figure(figsize=(8,5), dpi=80, facecolor='w', edgecolor='k')
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plt.plot(t1, node1.tank_flow_timeseries, 'r',label='w surge tank $A_s=10m^2$', linewidth=2.5)
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plt.plot(t2, node2.tank_flow_timeseries, 'g',label='w surge tank $A_s=100m^2$', linewidth=2.5)
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plt.xlim([t1[0],t1[-1]])
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plt.xlabel("Time [s]")
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plt.ylabel("Flow into tank [m^3s]")
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plt.legend(loc='best')
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plt.grid(True)
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plt.show()
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