def setup_solar(rooftop=True):
op = Output(capacity=np.array([
0, 0.100000000000000, 0.200000000000000, 0.300000000000000,
0.400000000000000, 0.500000000000000, 0.600000000000000,
0.700000000000000, 0.800000000000000, 0.900000000000000, 1
]),
electricity=np.ones(11))
array = Solar(name='Rooftop PV',
output=op,
size=600,
eff=.1740,
size_m2=194.04,
tilt=20,
azimuth=180,
gen_frac=0.8719,
dem_frac=0.9247,
us_state='Washington',
data=np.matrix([
'.95, .8, 1.05; .92, .88, .98;\
.98, .97, .995; .995, .99, .997; .98, .97, .99; .99, .98, .993; .95, .3, .995;\
.98, 0, .995; 1, 0, 1; 1, .95, 1; 1, .7, 1'
]))
if not rooftop:
array.name = 'Ground PV'
array.size = 900
array.size_2m = 352.80,
array.tilt = 65
return array
def setup_diesel_gen():
op = Output(capacity=np.array([
0, 0.0440436111111194, 0.0959544444443891, 0.274149999999907,
1.00805555555550, 1.13232999999996
]),
electricity=np.array([
0, 0.0386165028943384, 0.0640837968864363,
0.276878400371175, 0.429227220146803, 0.567247108410006
]))
ss = StateSpace(a=np.matrix('0,1; -1.924e-6, -0.0028'),
b=np.matrix('0; 1.9240e-6'),
c=np.matrix('1,0'),
d=np.matrix('0'))
stu = Startup(time=np.array([0, 1000]),
electricity=np.array([0, 333.3333]),
input=np.array([0, 1.2979e3]))
shd = Shutdown(time=np.array([0, 1000]),
electricity=np.array([333.3333, 0]),
input=np.array([1.2979e3, 0]))
start_cost = 66.6667
dx_dt = 666.6692
gen = ElectricGenerator(name='Gen3',
source='diesel',
size=1000,
output=op,
state_space=ss,
startup=stu,
shutdown=shd,
start_cost=start_cost,
ramp_rate=dx_dt)
return gen
def setup_boiler(boiler_num=1):
name_str = 'Boiler' + str(boiler_num)
op = Output(capacity=np.array([
0, 0.250000000000000, 0.500000000000000, 0.700000000000000,
0.760000000000000, 0.800000000000000, 0.840000000000000,
0.880000000000000, 0.920000000000000, 0.960000000000000, 1
]),
heat=np.ones(11))
ss = StateSpace(a=np.matrix('0,1; -8.7249e-9, -1.8681e-4'),
b=np.matrix('0; 8.7249e-9'),
c=np.matrix('1,0'),
d=np.matrix('0'))
stu = Startup(time=np.array([0, 10]),
heat=np.array([0, 2]),
input=np.array([0, 2]))
shd = Shutdown(time=np.array([0, 1000]),
heat=np.array([200, 0]),
input=np.array([200, 0]))
boiler = Heater(name=name_str,
size=20000,
output=op,
state_space=ss,
startup=stu,
shutdown=shd,
start_cost=0,
ramp_rate=1.3333e3)
return boiler
def setup_chiller(name_str):
wb = xlrd.open_workbook('instance\chiller_capacity_output.xlsx')
sheet = wb.sheet_by_index(0)
cap = []
cooling = []
if name_str == 'Carrier Chiller1':
chiller_size = 7.279884675000000e+03
dx_dt = 4.8533e3
ss = StateSpace(a=np.matrix('0,1; -1.9997e-7, -0.1278'),
b=np.matrix('0; 1.9997e-7'),
c=np.matrix('1,0'),
d=np.matrix('0'))
stu = Startup(time=np.array([0, 0.1000]),
cooling=np.array([0, 36.3994]),
input=np.array([0, 0.0050]))
shd = Shutdown(time=np.array([0, 1000]),
cooling=np.array([3.6399e3, 0]),
input=np.array([0.4999, 0]))
for i in range(2, 482):
cap.append(sheet.cell_value(i, 0))
cooling.append(sheet.cell_value(i, 1))
elif name_str[:-1] == 'York Chiller':
chiller_size = 5.268245045000001e+03
dx_dt = 3.5122e3
ss = StateSpace(a=np.matrix('0, 1; -3.8187e-7, -0.1767'),
b=np.matrix('0; 3.8187e-7'),
c=np.matrix('1,0'),
d=np.matrix('0'))
stu = Startup(time=np.array([0, 10]),
cooling=np.array([0, 26.3764]),
input=np.array([0, 0.005]))
shd = Shutdown(time=np.array([0, 1000]),
cooling=np.array([2.6376e3, 0]),
input=np.array([0.4998, 0]))
for i in range(2, 129):
cap.append(sheet.cell_value(i, 2))
cooling.append(sheet.cell_value(i, 3))
elif name_str == 'Carrier Chiller2' or name_str == 'Carrier Chiller3':
chiller_size = 4.853256450000000e+03
dx_dt = 3.2355e3
ss = StateSpace(a=np.matrix('0,1; -4.4997e-7, -0.1918'),
b=np.matrix('0; 4.4997e-7'),
c=np.matrix('1,0'),
d=np.matrix('0'))
stu = Startup(time=np.array([0, 10]),
cooling=np.array([0, 24.2663]),
input=np.array([0, 0.005]))
shd = Shutdown(time=np.array([0, 1000]),
cooling=np.array([2.4266e3, 0]),
input=np.array([0.4997, 0]))
for i in range(2, 423):
cap.append(sheet.cell_value(i, 10))
cooling.append(sheet.cell_value(i, 11))
elif name_str == 'Carrier Chiller7' or name_str == 'Carrier Chiller8':
chiller_size = 5.275278750000000e+03
dx_dt = 3.5169e3
ss = StateSpace(a=np.matrix('0,1; -3.8085e-7, -0.1764'),
b=np.matrix('0; 3.8085e-7'),
c=np.matrix('1,0'),
d=np.matrix('0'))
stu = Startup(time=np.array([0, 10]),
cooling=np.array([0, 26.3764]),
input=np.array([0, 0.005]))
shd = Shutdown(time=np.array([0, 1000]),
cooling=np.array([2.6376e3, 0]),
input=np.array([0.4998, 0]))
for i in range(2, 663):
cap.append(sheet.cell_value(i, 6))
cooling.append(sheet.cell_value(i, 7))
elif name_str == 'Carrier Chiller4':
chiller_size = 1.758426250000000e+03
dx_dt = 1.1723e3
ss = StateSpace(a=np.matrix('0, 1; -3.4289e-6, -0.5294'),
b=np.matrix('0; 3.4289e-6'),
c=np.matrix('1,0'),
d=np.matrix('0'))
stu = Startup(time=np.array([0, 10]),
cooling=np.array([0, 8.7921]),
input=np.array([0, 0.005]))
shd = Shutdown(time=np.array([0, 1000]),
cooling=np.array([879.2131, 0]),
input=np.array([0.4995, 0]))
for i in range(2, 7):
cap.append(sheet.cell_value(i, 14))
cooling.append(sheet.cell_value(i, 15))
else: #if it is the trane chiller
chiller_size = 1.415462794200000e+03
dx_dt = 943.6419
ss = StateSpace(a=np.matrix('0, 1; -5.2926e-6, -0.6577'),
b=np.matrix('0; 5.2926e-6'),
c=np.matrix('1,0'),
d=np.matrix('0'))
stu = Startup(time=np.array([0, 10]),
cooling=np.array([0, 7.0773]),
input=np.array([0, 0.005]))
shd = Shutdown(time=np.array([0, 1000]),
cooling=np.array([707.7314, 0]),
input=np.array([0.4996, 0]))
for i in range(2, 168):
cap.append(sheet.cell_value(i, 16))
cooling.append(sheet.cell_value(i, 17))
op = Output(capacity=np.array(cap), cooling=np.array(cooling))
chiller = ElectricChiller(name=name_str,
size=chiller_size,
output=op,
state_space=ss,
startup=stu,
shutdown=shd,
start_cost=0,
ramp_rate=dx_dt,
source='electricity')
return chiller
def setup_mgt(n_gt=1):
cap1 = np.array([
0, 0.00110499999998137, 0.00361777777760290, 0.385651944444515,
0.388592222222127, 0.431189166666474, 0.484720833333675,
0.491660000000149, 0.505131388888694, 0.586546944444534,
0.621058055555681, 1.05868694444420, 1.06167222222197,
1.07020861111116, 1.07115888888901
])
cap2 = np.array([
0, 0.000956666666781530, 0.00366805555578321, 0.388506666666362,
0.396046111111296, 0.438080833333079, 0.493104722222313,
0.497185555555392, 0.515001388888806, 0.590879722222220,
0.629853611110942, 1.07497166666691, 1.07684916666662,
1.08608277777792, 1.08781305555580
])
elec1 = np.array([
0, 0.686800696496086, 0.510127443690416, 0.309220510095308,
0.312715841910826, 0.306017287041821, 0.362823346550335,
0.353123964797020, 0.315108043596381, 0.368046107155067,
0.358760399187536, 0.344788257890904, 0.343248719213812,
0.343656819850057, 0.344227297586808
])
elec2 = np.array([
0, 0.459853195951741, 0.428405275836534, 0.316385631927067,
0.313322663749180, 0.312953937427671, 0.362498468567169,
0.364462640163305, 0.313690064224268, 0.365898726735581,
0.358972505189864, 0.347214900723712, 0.353977200593419,
0.349119253281163, 0.348170539023118
])
heat = np.ones((15)) * 0.5
if n_gt == 1:
out = Output(capacity=cap1, electricity=elec1, heat=heat)
else:
out = Output(capacity=cap2, electricity=elec2, heat=heat)
ss = StateSpace(a=np.matrix('0,1; -0.3085, -225.8605'),
b=np.matrix('0,0.3085'),
c=np.matrix('1,0'),
d=np.matrix('0'))
startup1 = Startup(time=np.array([0, 0.1]),
electricity=np.array([0, 0.129387]),
input=np.array([0, 0.548259]),
heat=np.array([0, 0.271938]))
startup2 = Startup(time=np.array([0, 10]),
electricity=np.array([0, 12.9387]),
input=np.array([0, 54.8259]),
heat=np.array([0, 27.1938]))
shutdown = Shutdown(time=np.array([0, 1000]),
electricity=np.array([1.2939e3, 0]),
input=np.array([5.4826e3, 0]),
heat=np.array([2.7194e3, 0]))
#comm = Comm(on_off = 51700, set = 51100),
#measure = Measure(on_off = 32300, input = 31200, electric=31100, thermal =31300),
mgt = MicroTurbine(name='GT1',
output=out,
size=5000,
startup=startup1,
shutdown=shutdown,
start_cost=323.4671,
restart_time=15,
ramp_rate=1.3344e3)
if n_gt == 2:
mgt.name = 'GWSPE'
mgt.size = 43750
mgt.startup = startup2
elif n_gt == 3:
mgt.name = 'GWSPB'
mgt.size = 2750
elif n_gt == 4:
mgt.name = 'GWSPA'
mgt.size = 2750
return mgt
def output_from_fields(self, output_fields):
return Output(fields=output_fields)
