Modeling Solar Panel Installation

Modeling Fixed Axis Solar Installation

Here is an example script to get started on modeling fixed axis solar installation.

Fixed Axis Solar Model

import random
from datetime import datetime, timedelta
import pandas as pd
from evolve.solar.solar import (
    FixedAxisSolarModel,
    SolarBasicModel,
    FixedAxisModel,
    InverterModel
)

timestamps = [datetime(2023,1,1,0,0,0)+ timedelta(minutes=60*i) for i in range(24)]
irradiance_df = pd.DataFrame({
    "timestamp": timestamps,
    "ghi": [0 if i< 6 or i>17 else random.random()*1000 for i in range(24)],
    "dhi": [0 if i< 6 or i>17 else random.random()*1000 for i in range(24)],
    "dni": [0 if i< 6 or i>17 else random.random()*1000 for i in range(24)]
})

solar_instance = FixedAxisSolarModel(
    solar_basic_model=SolarBasicModel(
        longitude=9.0, latitude=36.0, kw=5.0, irradiance=irradiance_df
    ),
    axis_model=FixedAxisModel(surface_azimuth=130, surface_tilt=20),
    inv_model=InverterModel(acdcratio=1.0),
)

print(solar_instance.get_inverter_ac_output())