Appliances with occasional use

There are some appliances that are occasionally included in the mix of appliances that the user switches on during the day. For example, an iron, a stereo, printers, etc.

Within RAMP, the user may specify the probability of using an appliance on the daily mix with a parameter called occasional_use.

When occasional_use = 1, the appliance is always present in the mix, and when occasional_use = 0, the appliance is never present. Any in-between values will lead to a probabilistic calculation to decide whether the appliance is used or not on a given day.

The following example investigates the effect of this parameter by modelling two user categories: * A household that uses a computer occasionally * A school that uses the computer every day

# importing functions
from ramp import User, UseCase
import matplotlib.pyplot as plt
import pandas as pd

Creating user categories and appliances

household = User("Household")
school = User("School")

computer_0 = household.add_appliance(
    name="Household Computer",
    number=1,
    power=50,
    num_windows=1,
    func_time=210,  # 3.5 hours
    func_cycle=210,
    occasional_use=0.5,  # 50% chance of occasional use,
    window_1=[480, 750],  # start from 8AM
)

computer_1 = school.add_appliance(
    name="School Computer",
    number=1,
    power=50,
    num_windows=1,
    func_time=210,  # 3.5 hours
    func_cycle=210,
    occasional_use=1,  # always present in the mix of appliances,
    window_1=[480, 750],  # start from 8AM
)

Generating profiles

As the profiles of each specific User category is important, we will use the User object profile genertor methods for 5 consecutive days:

number_of_days = 5
household_profiles = []
school_profiles = []

for day in range(1, number_of_days + 1):
    household_profiles.extend(household.generate_single_load_profile(prof_i=day))

    school_profiles.extend(school.generate_single_load_profile(prof_i=day))

You are generating ramp demand from a User not bounded to a UseCase instance, a default one has been created for you
You are generating ramp demand from a User not bounded to a UseCase instance, a default one has been created for you

fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(8, 4))


i = 0
for name, df in dict(
    household_profiles=pd.DataFrame(household_profiles),
    school_profiles=pd.DataFrame(school_profiles),
).items():
    df.plot(ax=axes[i], legend=False)
    axes[i].set_title(name)
    i += 1

plt.tight_layout()
plt.show()

As it can be seen from the figures, the computer is always present in the school’s appliance mix while, for the household, it is only occasionally present.

Link to the jupyter notebook file.