def calculate():
try:
city = str(request.form['city'])
customer_type = str(request.form['cust_type']) # residentaial-> R, commercial-> C, industrial -> I
connection_type = str(request.form['conn_type']) # LT, HT
rooftop_area = int(request.form['area']) # sqft
# rooftop_type = 0 # 450
monthly_bill = int(request.form['bill']) # Rs.
sanction_load = int(request.form['load']) # kVA
except:
flash('Wrong Information!')
return redirect(url_for('calculator'))
print(city, customer_type, connection_type, rooftop_area, monthly_bill, sanction_load)
# customer_type = 'R' # residentaial-> R, commercial-> C, industrial -> I
# connection_type = 'LT' # LT, HT
# rooftop_area = 200 # sqft
# rooftop_type = 0 # 450
# monthly_bill = 1000 # Rs.
# sanction_load = 3 # kVA
if (customer_type == 'R') & (connection_type == 'LT'): # Residential and LT
total_units = lt2a(monthly_bill)
sys_type = 'Grid-tie'
elif (customer_type == 'C') & (connection_type == 'LT'): # Commercial & LT
total_units = lt3(monthly_bill)
sys_type = 'Grid-tie'
elif (customer_type == 'I') & (connection_type == 'LT'): # Industrial & LT
total_units = lt3(monthly_bill)
sys_type = 'Grid-interactive'
elif (customer_type == 'R') & (connection_type == 'HT'): # Residential and HT
total_units = ht4(monthly_bill)
sys_type = 'Grid-tie'
elif (customer_type == 'C') & (connection_type == 'HT'): # Commercial & HT
total_units = ht2b(monthly_bill)
sys_type = 'Grid-interactive'
elif (customer_type == 'I') & (connection_type == 'HT'): # Industrial & HT
total_units = ht2a(monthly_bill)
sys_type = 'Grid-interactive'
elif (customer_type == 'R') & (connection_type == 0): # Residential and -
total_units = lt2a(monthly_bill)
sys_type = 'Grid-tie'
elif (customer_type == 'C') & (connection_type == 0): # Commercial & -
total_units = lt3(monthly_bill)
sys_type = 'Grid-tie'
elif (customer_type == 'I') & (connection_type == 0): # Industrial & -
total_units = ht2a(monthly_bill)
sys_type = 'Grid-interactive'
else:
flash('Wrong Information!')
return redirect(url_for('index'))
size_of_rooftop_sys = ((total_units / 5) / 30)
if size_of_rooftop_sys <= (rooftop_area / 100):
system_size = math.ceil(
size_of_rooftop_sys * 10) / 10.0 # math.ceil(num * 100) / 100.0 returns roundup to a float
# print(1, system_size)
else:
system_size = math.ceil((rooftop_area / 100) * 10) / 10.0
# print(2)
system_size = min(sanction_load, system_size)
total_cost = system_size * 90000
units_prod_year = system_size * 5 * 300 # produced from solar
units_used_year = total_units * 12 # from grid
net_units_consumed = units_used_year - units_prod_year
if net_units_consumed > 0:
net_yearly_bill = net_units_consumed * 5.25
else:
net_yearly_bill = net_units_consumed * 9.56
fst_year_bill = 12 * monthly_bill
yearly_bills = [0, fst_year_bill]
savings = [-total_cost, round(fst_year_bill - net_yearly_bill)] # round(fst_year_bill - net_yearly_bill)
for i in range(2, 14):
# print(i)
yearly_bills.append(round(yearly_bills[i - 1] * 1.025))
savings.append(round(yearly_bills[i] - net_yearly_bill))
sum1 = 0
for i in range(1, len(savings)):
# print(i)
if sum1 > total_cost:
i -= 1
break
else:
sum1 += savings[i]
sum2 = sum1
sum1 = sum1 - savings[i]
i = i - 1
months = (total_cost - sum1) / savings[i + 1]
roi = math.ceil((i + months) * 10) / 10.0
print(sum1, sum2, i, roi)
savings_irr = []
for j in range(i + 2):
savings_irr.append(savings[j])
print(yearly_bills)
print(savings)
print(savings_irr)
average_savings = 0
for i in range(1, 11):
# print(i)
average_savings += savings[i]
average_savings = average_savings / 10
irr = round((numpy.irr(savings_irr) * 100.0), 2)
print(irr)
temp = {
'total_units': total_units,
'sys_type': sys_type,
'size_of_rooftop_sys': size_of_rooftop_sys,
'system_size': system_size,
'total_cost': total_cost,
'units_prod_year': units_prod_year,
'units_used_year': units_used_year,
'net_units_consumed': net_units_consumed,
'irr': irr,
'roi': roi,
'average_savings': average_savings
}
res = {
'system_size': system_size,
'sys_type': sys_type,
'total_cost': total_cost,
'irr': irr,
'roi': roi,
'average_savings': average_savings
}
result = resultClass(system_size, sys_type, total_cost, irr, roi, average_savings)
return render_template('results.html', result=result)
