test_heating_rod.py

# -*- coding: utf-8 -*-
"""
Info
----
In this testfile the basic functionalities of the VPPHeatPump class are tested.
Run each time you make changes on an existing function.
Adjust if a new function is added or
parameters in an existing function are changed.

"""

from vpplib.user_profile import UserProfile
from vpplib.environment import Environment
from vpplib.heating_rod import HeatingRod
import matplotlib.pyplot as plt

# Values for environment
start = '2015-01-01 00:00:00'
end = '2015-01-14 23:45:00'
year = '2015'
time_freq = "15 min"
timestamp_int = 48
timestamp_str = '2015-01-01 12:00:00'
timebase = 15

# Values for user_profile
thermal_energy_demand_yearly = 12500
building_type = 'DE_HEF33'
t_0 = 40

# Values for HeatingRod
el_power = 3  # kW electric
rampUpTime = 1/15  # timesteps
rampDownTime = 1/15  # timesteps
min_runtime = 1  # timesteps
min_stop_time = 2  # timesteps

environment = Environment(timebase=timebase, start=start, end=end, year=year,
                          time_freq=time_freq)

user_profile = UserProfile(identifier=None,
                           latitude=None,
                           longitude=None,
                           thermal_energy_demand_yearly=thermal_energy_demand_yearly,
                           building_type=building_type,
                           comfort_factor=None,
                           t_0=t_0)


def test_get_thermal_energy_demand(user_profile):

    user_profile.get_thermal_energy_demand()
    user_profile.thermal_energy_demand.plot()
    plt.show()


test_get_thermal_energy_demand(user_profile)

hr = HeatingRod(identifier='hp1',
                environment=environment, user_profile=user_profile,
                el_power=el_power, rampUpTime=rampUpTime,
                rampDownTime=rampDownTime,
                min_runtime=min_runtime,
                min_stop_time=min_stop_time)


def test_prepareTimeseries(hr):

    print('prepareTimeseries:')
    hr.prepareTimeSeries()
    hr.timeseries.plot(figsize=(16, 9))
    plt.show()


def test_valueForTimestamp(hr, timestamp):

    print('valueForTimestamp:')
    demand = hr.valueForTimestamp(timestamp)
    print("El. Demand: ", demand, '\n')


def test_observationsForTimestamp(hr, timestamp):

    print('observationsForTimestamp:')
    observation = hr.observationsForTimestamp(timestamp)
    print(observation, '\n')


test_prepareTimeseries(hr)

test_valueForTimestamp(hr, timestamp_int)
test_observationsForTimestamp(hr, timestamp_int)

test_valueForTimestamp(hr, timestamp_str)
test_observationsForTimestamp(hr, timestamp_str)