pv-sizing 0.9.3

No project description provided

PV-sizing

Introduction

Photovoltaic sizing

This library allows the sizing of photovoltaic panels for any building and load curve provided. The photovoltaic producition was calculated using the "IDAE: Pliego de Condiciones Técnicas de Instalaciones Conectadas a Red" with the following equation:

$$ E_{\mathrm{p}}=\frac{G_{\mathrm{dm}}(\alpha, \beta) P_{\mathrm{mp}} P R}{G_{\mathrm{CEM}}} $$

By simply entering the number of panels (and their parameters from the datasheet provided by the manufacturer), the hourly irradiance (from https://re.jrc.ec.europa.eu/pvg_tools/en/), and the hourly load over a year it is possible to obtain the accumulated cahsflow taking into account the inflation over a period of 25 years (typical duration of a photovoltaic project). It is also necessary to provide the electricity purchase tariff, and also the price for compensation in case of grid feed-in.

It also allows the sizing of the battery bank for N days of autonomy based on the daily energy consumed.

The calculations for the initial investment have been calculated with typical market values. They can also be varied depending on the actual initial investment.

In the image you can see a representation of the final result obtained. Also in the table below the accumulated cashflow over the liftime of the project is shown.

Año	Inversión inicial	OyM	Ahorro	Cashflow	Cashflow acumulado
0	3565.1725	71.303450	527.383444	-3109.092506	-3109.092506
1	0.0000	72.729519	548.478782	475.749263	-2633.343243
2	0.0000	74.184109	570.417933	496.233824	-2137.109419
3	0.0000	75.667792	593.234651	517.566859	-1619.542560
4	0.0000	77.181147	616.964037	539.782889	-1079.759671
5	0.0000	78.724770	641.642598	562.917828	-516.841843
6	0.0000	80.299266	667.308302	587.009036	70.167193
7	0.0000	81.905251	694.000634	612.095383	682.262576
8	0.0000	83.543356	721.760659	638.217303	1320.479879
9	0.0000	85.214223	750.631086	665.416863	1985.896742
10	0.0000	86.918508	780.656329	693.737822	2679.634563
11	0.0000	88.656878	811.882582	723.225705	3402.860268
12	0.0000	90.430015	844.357886	753.927870	4156.788138
13	0.0000	92.238616	878.132201	785.893585	4942.681724
14	0.0000	94.083388	913.257489	819.174101	5761.855825
15	0.0000	95.965056	949.787789	853.822733	6615.678558
16	0.0000	97.884357	987.779300	889.894943	7505.573501
17	0.0000	99.842044	1027.290472	927.448428	8433.021929
18	0.0000	101.838885	1068.382091	966.543206	9399.565136
19	0.0000	103.875663	1111.117375	1007.241712	10406.806848
20	0.0000	105.953176	1155.562070	1049.608894	11456.415742
21	0.0000	108.072239	1201.784553	1093.712313	12550.128055
22	0.0000	110.233684	1249.855935	1139.622251	13689.750306
23	0.0000	112.438358	1299.850172	1187.411814	14877.162120
24	0.0000	114.687125	1351.844179	1237.157054	16114.319174

Install

PV-sizing depends on the following libraries:

• pandas
• numpy
• numpy-financial
• pvlib

To install the library you can simply use the pip command as follows:

pip install pv-sizing

Example photovoltaic production and battery sizing

from pv_sizing.dimension.pv import PVProduction
from pv_sizing.dimension.battery import BatterySizing

from pv_sizing.utils.load_example import example_irr, example_load

from pv_sizing.utils.constants import fresnel_fixed
from pv_sizing.utils.pv_utils import init_inv

days_auto = 0.5
num_panel = 5
price_panel = 260
price_inverter = 1300
additional_cost = 500
installation_cost_perc = 0.15


initial_investment = init_inv(num_panel=num_panel, price_panel=price_panel,
                                additional_cost=additional_cost, installation_cost_perc=installation_cost_perc,
                                price_inverter=price_inverter)

pv = PVProduction(irr_data=example_irr, load=example_load, tnoct=42, gamma=-0.36, panel_power=450, num_panel=num_panel,
                    fresnel_eff=fresnel_fixed)

bat = BatterySizing(irr_data=example_irr, load=example_load, tnoct=42, gamma=-0.36, panel_power=450, num_panel=num_panel,
                    fresnel_eff=fresnel_fixed, amb_temp_multiplier=1.163, days_auto=days_auto, dod=0.95,
                    amp_hour_rating=2400 / 48, nominal_voltage=48, batt_volt=48, inversor_eff=0.85)

total_battery_capacity, n_bat_paraleirradiation, n_bat_series = bat.battery_sizing()
daily_load_Wh = pv.mean_hourly_load_data().AE_kWh.sum() * 1000  # to a Wh

coste_energia_actual, coste_energia_pv, compensacion_pv, savings = pv.savings_from_pv(sell_price=0.06,
                                                                                        buy_price=0.32)
cashflow, van, tir = pv.economic_analysis(initial_investment)

pv.plot(cashflow['Cashflow acumulado'])

Example PVGIS scrapping

from pv_sizing.web_scrapping.irradiance import PVGIS
import os

pvgis = PVGIS(lat = 28.242, lon = -16.647, azimuth = 0, elevation = 30, absolute_path = os.getcwd())
pvgis.interact_with_page()

*Some other files may be necessary for the correct functioning of this class. Currently it is necessary to use Chrome with ChromeDriver 103.0.5060.134. The location in the machine is no relevant since the webdriver_manager is used in the script.