def create_vertices(low=0.0, high=1000.0, npoints=100):
if npoints < 3:
npoints += 3
# np.random.seed(64)
points = (np.random.rand(npoints, 2) + low) * high
print points
boundaryVertices, boundaryNormals = calculate_boundary(points)
return boundaryVertices
def generate_layout(vertices, npoints=60):
# get unit normals
boundaryVertices, unit_normals = calculate_boundary(vertices)
print unit_normals
# initialize points array
points = np.zeros([npoints, 2])
# deterine high and low values for containing rectangle
highx = max(vertices[:, 0])
lowx = min(vertices[:, 0])
highy = max(vertices[:, 1])
lowy = min(vertices[:, 1])
print highx
print lowx
print highy
print lowy
# generate random points within the wind farm boundary
np.random.seed(101)
for i in range(0, npoints):
good_point = False
while not good_point:
# generate random point in containing rectangle
point = np.random.rand(1, 2)
# print point
point[:, 0] = point[:, 0]*(highx - lowx) + lowx
point[:, 1] = point[:, 1]*(highy - lowy) + lowy
# print point
# calculate signed distance from the point to each boundary facet
# distance = calculate_distance(point, vertices, unit_normals)
distance = calculate_distance(point, boundaryVertices, unit_normals)
# determine if the point is inside the wind farm boundary
if all(d >= 0 for d in distance[0]):
good_point = True
points[i, :] = point[0, :]
return points, boundaryVertices
windRose = np.loadtxt(
'./input_files/windrose_amalia_directionally_averaged_speeds.txt')
indexes = np.where(windRose[:, 1] > 0.1)
windDirections = windRose[indexes[0], 0]
windSpeeds = windRose[indexes[0], 1]
windFrequencies = windRose[indexes[0], 2]
nDirections = len(windDirections)
# load turbine positions
locations = np.loadtxt('./input_files/layout_amalia.txt')
turbineX = locations[:, 0]
turbineY = locations[:, 1]
# generate boundary constraint
boundaryVertices, boundaryNormals = calculate_boundary(locations)
nVertices = boundaryVertices.shape[0]
# define turbine size
rotor_diameter = 126.4 # (m)
# initialize input variable arrays
nTurbines = turbineX.size
rotorDiameter = np.zeros(nTurbines)
axialInduction = np.zeros(nTurbines)
Ct = np.zeros(nTurbines)
Cp = np.zeros(nTurbines)
generatorEfficiency = np.zeros(nTurbines)
yaw = np.zeros(nTurbines)
minSpacing = 2. # number of rotor diameters
# load wind rose data
windRose = np.loadtxt('./input_files/windrose_amalia_directionally_averaged_speeds.txt')
indexes = np.where(windRose[:, 1] > 0.1)
windDirections = windRose[indexes[0], 0]
windSpeeds = windRose[indexes[0], 1]
windFrequencies = windRose[indexes[0], 2]
nDirections = len(windDirections)
# load turbine positions
locations = np.loadtxt('./input_files/layout_amalia.txt')
turbineX = locations[:, 0]
turbineY = locations[:, 1]
# generate boundary constraint
boundaryVertices, boundaryNormals = calculate_boundary(locations)
nVertices = boundaryVertices.shape[0]
# define turbine size
rotor_diameter = 126.4 # (m)
# initialize input variable arrays
nTurbines = turbineX.size
rotorDiameter = np.zeros(nTurbines)
axialInduction = np.zeros(nTurbines)
Ct = np.zeros(nTurbines)
Cp = np.zeros(nTurbines)
generatorEfficiency = np.zeros(nTurbines)
yaw = np.zeros(nTurbines)
minSpacing = 2. # number of rotor diameters
