Cooling and Heating Workflows¶

This example illustrates the cooling and heating workflows currently employed by direct air capture technologies, which may also be utilised by other future RESKit implementations.

In [1]:

import reskit as rk
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

import reskit as rk import pandas as pd import numpy as np import matplotlib.pyplot as plt

This script illustrates how to run a simulation with ETHOS.RESKit.CoolingHeating.

In [2]:

# Create Placements DataFrame with turbine locations and specifications

placements = pd.DataFrame(
    {
        "lon": [5.5, 5.994685, 6.8],
        "lat": [50.797254, 50.794208, 49.5],
        "capacity": [4000, 4000, 4000],
    }
)
placements

# Create Placements DataFrame with turbine locations and specifications placements = pd.DataFrame( { "lon": [5.5, 5.994685, 6.8], "lat": [50.797254, 50.794208, 49.5], "capacity": [4000, 4000, 4000], } ) placements

Out[2]:

	lon	lat	capacity
0	5.500000	50.797254	4000
1	5.994685	50.794208	4000
2	6.800000	49.500000	4000

Run the simulation workflow for air cooling¶

RESKit will run the simulation and create an xarray Dataset with the simulation results for you. Apart from the capacity_factor, RESKit also includes the conversion factors and intermediate data used to determine the capacity factor and conversion factors.

In [3]:

reskit_xr = rk.cooling_heating.air_cooling_wenzel2025(
    placements=placements,
    era5_path=rk.TEST_DATA["era5-like"],
    temperatureCoolant=30,
    designTemperature=5,
)
reskit_xr

reskit_xr = rk.cooling_heating.air_cooling_wenzel2025( placements=placements, era5_path=rk.TEST_DATA["era5-like"], temperatureCoolant=30, designTemperature=5, ) reskit_xr

Out[3]:

<xarray.Dataset> Size: 35kB
Dimensions:                             (location: 3, time: 140)
Coordinates:
  * location                            (location) int64 24B 0 1 2
  * time                                (time) datetime64[ns] 1kB 2014-12-31T...
Data variables: (12/13)
    lon                                 (location) float64 24B 5.5 5.995 6.8
    lat                                 (location) float64 24B 50.8 50.79 49.5
    capacity                            (location) int64 24B 4000 4000 4000
    surface_air_temperature             (time, location) float64 3kB -0.248 ....
    conversion_factor_fan_electricity   (time, location) float64 3kB -0.01136...
    conversion_factor_pump_electricity  (time, location) float64 3kB -0.00271...
    ...                                  ...
    capacity_factor                     (time, location) float64 3kB 1.0 ... 1.0
    conversion_factor_electricity       (time, location) float64 3kB -0.01407...
    cooling_output                      (time, location) float64 3kB 4e+03 .....
    electricity_input                   (time, location) float64 3kB 56.28 .....
    electricity_input_fan               (time, location) float64 3kB 45.45 .....
    electricity_input_pump              (time, location) float64 3kB 10.84 .....
Attributes:
    capacity:                            kW_th
    relative_cost_factor:                -
    capacity_factor:                     -
    conversion_factor_electricity:       kWh_el/kWh_th
    conversion_factor_fan_electricity:   kWh_el/kWh_th
    conversion_factor_pump_electricity:  kWh_el/kWh_th
    electricity_input:                   kWh_el
    electricity_input_fan:               kWh_el
    electricity_input_pump:              kWh_el
    cooling_output:                      kWh_th

xarray.Dataset

• Dimensions:
  • location: 3
  • time: 140
• Coordinates: (2)
  • location
    (location)
    int64
    0 1 2

    array([0, 1, 2])

  • time
    (time)
    datetime64[ns]
    2014-12-31T23:30:00 ... 2015-01-...

    array(['2014-12-31T23:30:00.000000000', '2015-01-01T00:30:00.000000000',
           '2015-01-01T01:30:00.000000000', '2015-01-01T02:30:00.000000000',
           '2015-01-01T03:30:00.000000000', '2015-01-01T04:30:00.000000000',
           '2015-01-01T05:30:00.000000000', '2015-01-01T06:30:00.000000000',
           '2015-01-01T07:30:00.000000000', '2015-01-01T08:30:00.000000000',
           '2015-01-01T09:30:00.000000000', '2015-01-01T10:30:00.000000000',
           '2015-01-01T11:30:00.000000000', '2015-01-01T12:30:00.000000000',
           '2015-01-01T13:30:00.000000000', '2015-01-01T14:30:00.000000000',
           '2015-01-01T15:30:00.000000000', '2015-01-01T16:30:00.000000000',
           '2015-01-01T17:30:00.000000000', '2015-01-01T18:30:00.000000000',
           '2015-01-01T19:30:00.000000000', '2015-01-01T20:30:00.000000000',
           '2015-01-01T21:30:00.000000000', '2015-01-01T22:30:00.000000000',
           '2015-01-01T23:30:00.000000000', '2015-01-02T00:30:00.000000000',
           '2015-01-02T01:30:00.000000000', '2015-01-02T02:30:00.000000000',
           '2015-01-02T03:30:00.000000000', '2015-01-02T04:30:00.000000000',
           '2015-01-02T05:30:00.000000000', '2015-01-02T06:30:00.000000000',
           '2015-01-02T07:30:00.000000000', '2015-01-02T08:30:00.000000000',
           '2015-01-02T09:30:00.000000000', '2015-01-02T10:30:00.000000000',
           '2015-01-02T11:30:00.000000000', '2015-01-02T12:30:00.000000000',
           '2015-01-02T13:30:00.000000000', '2015-01-02T14:30:00.000000000',
           '2015-01-02T15:30:00.000000000', '2015-01-02T16:30:00.000000000',
           '2015-01-02T17:30:00.000000000', '2015-01-02T18:30:00.000000000',
           '2015-01-02T19:30:00.000000000', '2015-01-02T20:30:00.000000000',
           '2015-01-02T21:30:00.000000000', '2015-01-02T22:30:00.000000000',
           '2015-01-02T23:30:00.000000000', '2015-01-03T00:30:00.000000000',
           '2015-01-03T01:30:00.000000000', '2015-01-03T02:30:00.000000000',
           '2015-01-03T03:30:00.000000000', '2015-01-03T04:30:00.000000000',
           '2015-01-03T05:30:00.000000000', '2015-01-03T06:30:00.000000000',
           '2015-01-03T07:30:00.000000000', '2015-01-03T08:30:00.000000000',
           '2015-01-03T09:30:00.000000000', '2015-01-03T10:30:00.000000000',
           '2015-01-03T11:30:00.000000000', '2015-01-03T12:30:00.000000000',
           '2015-01-03T13:30:00.000000000', '2015-01-03T14:30:00.000000000',
           '2015-01-03T15:30:00.000000000', '2015-01-03T16:30:00.000000000',
           '2015-01-03T17:30:00.000000000', '2015-01-03T18:30:00.000000000',
           '2015-01-03T19:30:00.000000000', '2015-01-03T20:30:00.000000000',
           '2015-01-03T21:30:00.000000000', '2015-01-03T22:30:00.000000000',
           '2015-01-03T23:30:00.000000000', '2015-01-04T00:30:00.000000000',
           '2015-01-04T01:30:00.000000000', '2015-01-04T02:30:00.000000000',
           '2015-01-04T03:30:00.000000000', '2015-01-04T04:30:00.000000000',
           '2015-01-04T05:30:00.000000000', '2015-01-04T06:30:00.000000000',
           '2015-01-04T07:30:00.000000000', '2015-01-04T08:30:00.000000000',
           '2015-01-04T09:30:00.000000000', '2015-01-04T10:30:00.000000000',
           '2015-01-04T11:30:00.000000000', '2015-01-04T12:30:00.000000000',
           '2015-01-04T13:30:00.000000000', '2015-01-04T14:30:00.000000000',
           '2015-01-04T15:30:00.000000000', '2015-01-04T16:30:00.000000000',
           '2015-01-04T17:30:00.000000000', '2015-01-04T18:30:00.000000000',
           '2015-01-04T19:30:00.000000000', '2015-01-04T20:30:00.000000000',
           '2015-01-04T21:30:00.000000000', '2015-01-04T22:30:00.000000000',
           '2015-01-04T23:30:00.000000000', '2015-01-05T00:30:00.000000000',
           '2015-01-05T01:30:00.000000000', '2015-01-05T02:30:00.000000000',
           '2015-01-05T03:30:00.000000000', '2015-01-05T04:30:00.000000000',
           '2015-01-05T05:30:00.000000000', '2015-01-05T06:30:00.000000000',
           '2015-01-05T07:30:00.000000000', '2015-01-05T08:30:00.000000000',
           '2015-01-05T09:30:00.000000000', '2015-01-05T10:30:00.000000000',
           '2015-01-05T11:30:00.000000000', '2015-01-05T12:30:00.000000000',
           '2015-01-05T13:30:00.000000000', '2015-01-05T14:30:00.000000000',
           '2015-01-05T15:30:00.000000000', '2015-01-05T16:30:00.000000000',
           '2015-01-05T17:30:00.000000000', '2015-01-05T18:30:00.000000000',
           '2015-01-05T19:30:00.000000000', '2015-01-05T20:30:00.000000000',
           '2015-01-05T21:30:00.000000000', '2015-01-05T22:30:00.000000000',
           '2015-01-05T23:30:00.000000000', '2015-01-06T00:30:00.000000000',
           '2015-01-06T01:30:00.000000000', '2015-01-06T02:30:00.000000000',
           '2015-01-06T03:30:00.000000000', '2015-01-06T04:30:00.000000000',
           '2015-01-06T05:30:00.000000000', '2015-01-06T06:30:00.000000000',
           '2015-01-06T07:30:00.000000000', '2015-01-06T08:30:00.000000000',
           '2015-01-06T09:30:00.000000000', '2015-01-06T10:30:00.000000000',
           '2015-01-06T11:30:00.000000000', '2015-01-06T12:30:00.000000000',
           '2015-01-06T13:30:00.000000000', '2015-01-06T14:30:00.000000000',
           '2015-01-06T15:30:00.000000000', '2015-01-06T16:30:00.000000000',
           '2015-01-06T17:30:00.000000000', '2015-01-06T18:30:00.000000000'],
          dtype='datetime64[ns]')

• Data variables: (13)
  • lon
    (location)
    float64
    5.5 5.995 6.8

    array([5.5     , 5.994685, 6.8     ])

  • lat
    (location)
    float64
    50.8 50.79 49.5

    array([50.797254, 50.794208, 49.5     ])

  • capacity
    (location)
    int64
    4000 4000 4000

    array([4000, 4000, 4000])

  • surface_air_temperature
    (time, location)
    float64
    -0.248 0.01567 ... 2.38 -1.624

    array([[-0.24802008,  0.01567222, -1.3686346 ],
           [-0.45357377, -0.16047537, -1.52366863],
           [-0.43064787, -0.17527834, -1.48094272],
           [-0.41460505, -0.27678196, -1.3686346 ],
           [-0.44248095, -0.36438848, -1.4382168 ],
           [-0.56191238, -0.40221456, -1.87768334],
           [-0.56835129, -0.30253776, -2.19507584],
           [-0.36298477, -0.11706351, -2.27442396],
           [-0.20414047,  0.05055484, -2.56862239],
           [ 0.35029076,  0.54601701, -2.52467574],
           [ 1.41959228,  1.54300176, -1.43089236],
           [ 2.42982897,  2.55645949, -0.93405103],
           [ 3.29112137,  3.43507084, -0.66060518],
           [ 3.775286  ,  3.96478292, -0.6642674 ],
           [ 3.81998409,  3.91387481, -0.62276223],
           [ 3.31073423,  3.30960066, -0.50801263],
           [ 2.55633064,  2.55839931, -0.59956816],
           [ 2.13402151,  2.28586305, -0.59224372],
           [ 2.06409013,  2.28707586, -0.51045412],
           [ 1.93591239,  2.20181795, -0.75216071],
    ...
           [-1.12357029, -0.83941555, -3.53178655],
           [-1.13410161, -0.85034358, -3.6025895 ],
           [-1.30120896, -1.1395393 , -3.8113361 ],
           [-1.36153644, -1.31831061, -4.08600269],
           [-1.79288798, -1.55285796, -4.2617893 ],
           [-1.86590613, -1.74503472, -4.48274331],
           [-1.82511328, -1.64068738, -4.87704245],
           [-1.51594471, -1.32144315, -4.7122425 ],
           [-1.3233778 , -1.0319751 , -4.23981597],
           [-0.20268227, -0.01314133, -2.89211859],
           [ 1.0630523 ,  1.57681526, -2.12183142],
           [ 2.21482783,  2.83553915, -1.28806574],
           [ 2.80867193,  3.55643346, -0.70699332],
           [ 2.90071073,  3.58008049,  0.06695608],
           [ 2.64614026,  3.1835323 ,  0.04132054],
           [ 2.14198845,  2.51274726, -0.04046907],
           [ 1.6188551 ,  1.91543142, -0.87545549],
           [ 1.56492743,  1.48222102, -1.21360057],
           [ 1.82969401,  1.56891671, -1.43943754],
           [ 2.37176978,  2.37996505, -1.62376934]])

  • conversion_factor_fan_electricity
    (time, location)
    float64
    -0.01136 -0.01149 ... -0.01072

    array([[-0.01136126, -0.0114926 , -0.01083243],
           [-0.01126074, -0.01140457, -0.01076282],
           [-0.01127187, -0.01139723, -0.01078192],
           [-0.01127967, -0.01134709, -0.01083243],
           [-0.01126612, -0.01130415, -0.01080109],
           [-0.01120841, -0.0112857 , -0.0106069 ],
           [-0.01120532, -0.01133444, -0.01047059],
           [-0.01130483, -0.01142616, -0.01043702],
           [-0.01138293, -0.01151009, -0.01031423],
           [-0.01166237, -0.01176384, -0.0103324 ],
           [-0.0122374 , -0.01230717, -0.01080438],
           [-0.01283107, -0.01290928, -0.01103204],
           [-0.01338112, -0.01347736, -0.01116114],
           [-0.01371004, -0.01384292, -0.01115939],
           [-0.01374116, -0.01380698, -0.01117922],
           [-0.01339416, -0.0133934 , -0.01123439],
           [-0.0129092 , -0.01291048, -0.01119033],
           [-0.01265177, -0.01274322, -0.01119385],
           [-0.01261007, -0.01274396, -0.01123321],
           [-0.01253428, -0.01269245, -0.01111761],
    ...
           [-0.01094417, -0.01107641, -0.00993012],
           [-0.01093932, -0.01107127, -0.00990292],
           [-0.01086297, -0.01093682, -0.00982349],
           [-0.01083564, -0.01085521, -0.00972075],
           [-0.01064387, -0.0107498 , -0.00965601],
           [-0.01061202, -0.01066483, -0.00957575],
           [-0.01062979, -0.01071082, -0.0094355 ],
           [-0.01076627, -0.01085379, -0.00949366],
           [-0.01085291, -0.01098648, -0.00966406],
           [-0.01138365, -0.01147816, -0.01018223],
           [-0.01203992, -0.01232641, -0.01050176],
           [-0.01270029, -0.01308481, -0.01086894],
           [-0.01306772, -0.01355951, -0.01113904],
           [-0.01312645, -0.01357562, -0.01151832],
           [-0.0129652 , -0.01331002, -0.01150545],
           [-0.01265654, -0.01288218, -0.01146444],
           [-0.01235041, -0.01252225, -0.01105947],
           [-0.01231964, -0.01227271, -0.01090288],
           [-0.01247212, -0.01232191, -0.01080054],
           [-0.01279551, -0.01280052, -0.01071831]])

  • conversion_factor_pump_electricity
    (time, location)
    float64
    -0.00271 -0.002738 ... -0.00257

    array([[-0.00270984, -0.00273844, -0.00259468],
           [-0.00268796, -0.00271927, -0.00257951],
           [-0.00269038, -0.00271767, -0.00258368],
           [-0.00269208, -0.00270676, -0.00259468],
           [-0.00268913, -0.00269741, -0.00258785],
           [-0.00267657, -0.00269339, -0.00254554],
           [-0.00267589, -0.002704  , -0.00251583],
           [-0.00269756, -0.00272397, -0.00250851],
           [-0.00271456, -0.00274227, -0.00248174],
           [-0.00277562, -0.00279783, -0.0024857 ],
           [-0.00290148, -0.00291675, -0.00258857],
           [-0.00303135, -0.00304846, -0.00263816],
           [-0.00315162, -0.00317266, -0.00266627],
           [-0.00322351, -0.00325255, -0.00266589],
           [-0.00323032, -0.0032447 , -0.00267021],
           [-0.00315447, -0.00315431, -0.00268222],
           [-0.00304844, -0.00304872, -0.00267263],
           [-0.00299214, -0.00301214, -0.00267339],
           [-0.00298302, -0.0030123 , -0.00268197],
           [-0.00296644, -0.00300104, -0.00265679],
    ...
           [-0.00261902, -0.00264782, -0.00239796],
           [-0.00261797, -0.0026467 , -0.00239203],
           [-0.00260133, -0.00261742, -0.0023747 ],
           [-0.00259538, -0.00259964, -0.00235227],
           [-0.00255359, -0.00257668, -0.00233814],
           [-0.00254665, -0.00255816, -0.00232062],
           [-0.00255053, -0.00256818, -0.00228999],
           [-0.00258027, -0.00259933, -0.00230269],
           [-0.00259914, -0.00262824, -0.0023399 ],
           [-0.00271472, -0.00273529, -0.00245296],
           [-0.00285827, -0.00292096, -0.00252262],
           [-0.00300275, -0.00308684, -0.00260263],
           [-0.0030831 , -0.00319062, -0.00266146],
           [-0.00309594, -0.00319414, -0.00274408],
           [-0.00306069, -0.00313608, -0.00274126],
           [-0.00299318, -0.00304253, -0.0027323 ],
           [-0.00292621, -0.00296381, -0.00264413],
           [-0.00291948, -0.00290921, -0.00261003],
           [-0.00295284, -0.00291997, -0.00258773],
           [-0.00302358, -0.00302467, -0.00256982]])

  • relative_cost_factor
    (time, location)
    float64
    1.038 1.036 1.044 ... 1.02 1.046

    array([[1.03760566, 1.03598515, 1.04423248],
           [1.03885238, 1.03707028, 1.04511754],
           [1.03871404, 1.037161  , 1.04487436],
           [1.03861713, 1.03778098, 1.04423248],
           [1.03878546, 1.03831323, 1.04463063],
           [1.0395037 , 1.03854222, 1.04711098],
           [1.03954228, 1.03793773, 1.04886638],
           [1.03830472, 1.03680381, 1.04930063],
           [1.03733765, 1.03576934, 1.05089495],
           [1.03389711, 1.03265697, 1.05065835],
           [1.0269451 , 1.02611399, 1.04458879],
           [1.01995436, 1.01904697, 1.04171123],
           [1.01363697, 1.01254679, 1.0400936 ],
           [1.00992929, 1.00844581, 1.04011543],
           [1.00958104, 1.00884618, 1.03986779],
           [1.01348903, 1.01349758, 1.03918015],
           [1.0190479 , 1.01903301, 1.03972915],
           [1.02204636, 1.02097731, 1.03968534],
           [1.02253536, 1.02096873, 1.03919483],
           [1.02342621, 1.02157027, 1.04063795],
    ...
           [1.04281812, 1.04115416, 1.05594731],
           [1.04287929, 1.04121864, 1.05630897],
           [1.04384522, 1.04291086, 1.05736775],
           [1.04419177, 1.04394358, 1.05874405],
           [1.04663695, 1.04528334, 1.05961504],
           [1.04704527, 1.04636848, 1.0606991 ],
           [1.04681735, 1.04578067, 1.0626046 ],
           [1.04507362, 1.04396158, 1.06181266],
           [1.0439727 , 1.0422846 , 1.05950658],
           [1.03732873, 1.03616324, 1.05261995],
           [1.02931203, 1.0258852 , 1.04846392],
           [1.02147869, 1.01702152, 1.04376957],
           [1.01721807, 1.01161974, 1.04036975],
           [1.01654336, 1.01143825, 1.03566773],
           [1.01839998, 1.01444518, 1.03582651],
           [1.02199052, 1.01936101, 1.03633205],
           [1.02560008, 1.02356791, 1.04136665],
           [1.02596569, 1.0265241 , 1.04333992],
           [1.02415917, 1.02593868, 1.0446376 ],
           [1.020368  , 1.0203097 , 1.04568506]])

  • capacity_factor
    (time, location)
    float64
    1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0

    array([[1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
    ...
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ],
           [1.        , 1.        , 1.        ]])

  • conversion_factor_electricity
    (time, location)
    float64
    -0.01407 -0.01423 ... -0.01329

    array([[-0.0140711 , -0.01423105, -0.01342711],
           [-0.0139487 , -0.01412384, -0.01334233],
           [-0.01396225, -0.0141149 , -0.0133656 ],
           [-0.01397175, -0.01405385, -0.01342711],
           [-0.01395525, -0.01400156, -0.01338894],
           [-0.01388498, -0.01397909, -0.01315244],
           [-0.01388121, -0.01403844, -0.01298642],
           [-0.01400239, -0.01415013, -0.01294553],
           [-0.01409749, -0.01425236, -0.01279597],
           [-0.01443799, -0.01456167, -0.0128181 ],
           [-0.01513889, -0.01522391, -0.01339295],
           [-0.01586242, -0.01595773, -0.0136702 ],
           [-0.01653274, -0.01665002, -0.01382741],
           [-0.01693355, -0.01709547, -0.01382528],
           [-0.01697148, -0.01705168, -0.01384943],
           [-0.01654863, -0.01654771, -0.01391661],
           [-0.01595764, -0.0159592 , -0.01386296],
           [-0.01564391, -0.01575536, -0.01386724],
           [-0.01559308, -0.01575626, -0.01391518],
           [-0.01550072, -0.01569349, -0.0137744 ],
    ...
           [-0.01356319, -0.01372423, -0.01232808],
           [-0.01355729, -0.01371797, -0.01229494],
           [-0.0134643 , -0.01355424, -0.01219819],
           [-0.01343102, -0.01345485, -0.01207302],
           [-0.01319746, -0.01332648, -0.01199415],
           [-0.01315867, -0.013223  , -0.01189637],
           [-0.01318032, -0.013279  , -0.01172549],
           [-0.01334653, -0.01345312, -0.01179635],
           [-0.01345205, -0.01361471, -0.01200396],
           [-0.01409837, -0.01421345, -0.01263519],
           [-0.01489819, -0.01524737, -0.01302439],
           [-0.01570304, -0.01617165, -0.01347157],
           [-0.01615082, -0.01675012, -0.0138005 ],
           [-0.01622239, -0.01676976, -0.0142624 ],
           [-0.01602589, -0.0164461 , -0.01424671],
           [-0.01564972, -0.01592471, -0.01419675],
           [-0.01527662, -0.01548606, -0.01370361],
           [-0.01523912, -0.01518193, -0.0135129 ],
           [-0.01542496, -0.01524188, -0.01338827],
           [-0.01581908, -0.01582519, -0.01328812]])

  • cooling_output
    (time, location)
    float64
    4e+03 4e+03 4e+03 ... 4e+03 4e+03

    array([[4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
    ...
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ],
           [4000.        , 4000.        , 4000.        ]])

  • electricity_input
    (time, location)
    float64
    56.28 56.92 53.71 ... 63.3 53.15

    array([[56.28440107, 56.92418158, 53.70844732],
           [55.79478754, 56.49537197, 53.36933253],
           [55.84900044, 56.45959502, 53.46239006],
           [55.88699551, 56.21540994, 53.70844732],
           [55.82100646, 56.00623889, 53.55575061],
           [55.53992377, 55.91637362, 52.60975061],
           [55.52484485, 56.15376353, 51.94568587],
           [56.00957894, 56.60053785, 51.78210322],
           [56.38996053, 57.00942988, 51.18387128],
           [57.7519457 , 58.24668639, 51.27241483],
           [60.55554685, 60.89565793, 53.5717858 ],
           [63.44969354, 63.83093797, 54.68080958],
           [66.13095896, 66.60007317, 55.30963775],
           [67.73420158, 68.38188049, 55.30112678],
           [67.88592554, 68.20673371, 55.39772787],
           [66.19450684, 66.19083081, 55.66644901],
           [63.83054783, 63.83681178, 55.45184822],
           [62.57564475, 63.02144665, 55.46895939],
           [62.37232368, 63.02503152, 55.6607062 ],
           [62.00287227, 62.77395546, 55.09759491],
    ...
           [54.25276139, 54.8969208 , 49.31233366],
           [54.22915873, 54.87188395, 49.17976962],
           [53.85718799, 54.21697937, 48.79275854],
           [53.72406974, 53.81938915, 48.29206904],
           [52.78984749, 53.3059313 , 47.9766033 ],
           [52.63469573, 52.89199097, 47.58546309],
           [52.72126902, 53.11600401, 46.90196277],
           [53.38613294, 53.81247084, 47.18540978],
           [53.80819893, 54.45885445, 48.01582726],
           [56.39347482, 56.85378391, 50.540747  ],
           [59.59274472, 60.98947528, 52.09754144],
           [62.81214617, 64.68661408, 53.8862714 ],
           [64.60329669, 67.00049543, 55.20201261],
           [64.88956208, 67.07904674, 57.04959519],
           [64.10356395, 65.78440004, 56.98683919],
           [62.59888747, 63.69884661, 56.78698435],
           [61.10649748, 61.94422134, 54.81443165],
           [60.95646086, 60.72770044, 54.05160316],
           [61.69982811, 60.96753599, 53.55307894],
           [63.27632938, 63.30074616, 53.15249035]])

  • electricity_input_fan
    (time, location)
    float64
    45.45 45.97 43.33 ... 51.2 42.87

    array([[45.44502885, 45.97040728, 43.32972686],
           [45.0429501 , 45.61828465, 43.05127694],
           [45.08747015, 45.58890339, 43.12768671],
           [45.11867206, 45.3883716 , 43.32972686],
           [45.06448126, 45.21659625, 43.20434569],
           [44.83365565, 45.14279768, 42.42759748],
           [44.82127291, 45.33774618, 41.8823682 ],
           [45.21933915, 45.70465078, 41.74806225],
           [45.53171731, 46.04034076, 41.25690853],
           [46.64947448, 47.05535255, 41.32960242],
           [48.9496115 , 49.22866266, 43.21751234],
           [51.32427867, 51.63710931, 44.12817022],
           [53.52447236, 53.9094362 , 44.64454682],
           [54.84014385, 55.37166593, 44.63755773],
           [54.96465632, 55.22792964, 44.71688538],
           [53.57662063, 53.57360403, 44.937558  ],
           [51.63678918, 51.6419291 , 44.76132854],
           [50.60709122, 50.97288464, 44.7753801 ],
           [50.44026217, 50.97582615, 44.93284199],
           [50.13712271, 50.76981026, 44.47042111],
    ...
           [43.77667851, 44.30563297, 39.72048119],
           [43.75729742, 44.28507351, 39.61166084],
           [43.4518607 , 43.74729647, 39.29397353],
           [43.34255469, 43.42082324, 38.88298349],
           [42.57546942, 42.99921826, 38.62404168],
           [42.44807905, 42.65933693, 38.30299285],
           [42.51916159, 42.84327029, 37.74199696],
           [43.06507177, 43.41514247, 37.9746379 ],
           [43.41163472, 43.94591079, 38.65623732],
           [45.53460335, 45.91262766, 40.72891838],
           [48.15967937, 49.30563765, 42.00704706],
           [50.80114685, 52.33924911, 43.47574176],
           [52.27088078, 54.23803416, 44.55616678],
           [52.5057843 , 54.30249604, 46.07329048],
           [51.86081524, 53.240083  , 46.02180845],
           [50.62616242, 51.52872113, 45.85776866],
           [49.40165203, 50.08899924, 44.23789562],
           [49.27855004, 49.09085805, 43.61150025],
           [49.88847406, 49.28763694, 43.20215196],
           [51.18202572, 51.20206072, 42.87322884]])

  • electricity_input_pump
    (time, location)
    float64
    10.84 10.95 10.38 ... 12.1 10.28

    array([[10.83937222, 10.9537743 , 10.37872046],
           [10.75183744, 10.87708732, 10.31805559],
           [10.76153029, 10.87069163, 10.33470335],
           [10.76832345, 10.82703834, 10.37872046],
           [10.7565252 , 10.78964264, 10.35140492],
           [10.70626812, 10.77357593, 10.18215313],
           [10.70357194, 10.81601735, 10.06331768],
           [10.79023979, 10.89588707, 10.03404097],
           [10.85824322, 10.96908912,  9.92696275],
           [11.10247122, 11.19133384,  9.94281241],
           [11.60593535, 11.66699527, 10.35427347],
           [12.12541487, 12.19382866, 10.55263935],
           [12.6064866 , 12.69063698, 10.66509093],
           [12.89405772, 13.01021456, 10.66356905],
           [12.92126921, 12.97880407, 10.68084249],
           [12.61788621, 12.61722678, 10.72889101],
           [12.19375865, 12.19488268, 10.69051969],
           [11.96855353, 12.04856201, 10.69357929],
           [11.93206151, 12.04920537, 10.7278642 ],
           [11.86574956, 12.00414519, 10.62717379],
    ...
           [10.47608288, 10.59128783,  9.59185247],
           [10.47186131, 10.58681044,  9.56810877],
           [10.40532729, 10.4696829 ,  9.49878501],
           [10.38151506, 10.39856591,  9.40908555],
           [10.21437807, 10.30671304,  9.35256162],
           [10.18661668, 10.23265404,  9.28247024],
           [10.20210743, 10.27273372,  9.15996581],
           [10.32106117, 10.39732836,  9.21077187],
           [10.39656421, 10.51294366,  9.35958994],
           [10.85887147, 10.94115625,  9.81182862],
           [11.43306536, 11.68383764, 10.09049438],
           [12.01099932, 12.34736497, 10.41052964],
           [12.33241592, 12.76246127, 10.64584582],
           [12.38377778, 12.7765507 , 10.97630471],
           [12.24274871, 12.54431704, 10.96503074],
           [11.97272505, 12.17012548, 10.92921569],
           [11.70484545, 11.8552221 , 10.57653604],
           [11.67791082, 11.6368424 , 10.4401029 ],
           [11.81135405, 11.67989905, 10.35092698],
           [12.09430366, 12.09868544, 10.27926151]])

• Attributes: (10)

  capacity :

  kW_th

  relative_cost_factor :

  -

  capacity_factor :

  -

  conversion_factor_electricity :

  kWh_el/kWh_th

  conversion_factor_fan_electricity :

  kWh_el/kWh_th

  conversion_factor_pump_electricity :

  kWh_el/kWh_th

  electricity_input :

  kWh_el

  electricity_input_fan :

  kWh_el

  electricity_input_pump :

  kWh_el

  cooling_output :

  kWh_th

Have a look at the previaling temperature:

In [4]:

fig, ax = plt.subplots(nrows=1, ncols=1)
reskit_xr["surface_air_temperature"].isel(time=slice(0, 400)).plot.line(x="time", ax=ax)
ax.axhline(5, c="r")  # design Temperature, at which the system will be able to provide the specified cooling load!

fig, ax = plt.subplots(nrows=1, ncols=1) reskit_xr["surface_air_temperature"].isel(time=slice(0, 400)).plot.line(x="time", ax=ax) ax.axhline(5, c="r") # design Temperature, at which the system will be able to provide the specified cooling load!

Out[4]:

<matplotlib.lines.Line2D at 0x7334d7804590>

RESKit will output the capacity factor of each location for every hour of the simulated year. If the air temperature is above the design temperature, the capacity factor is lower than 1 since the designed pumps/fans would not be able to provide sufficient flows.

In [5]:

reskit_xr["capacity_factor"].isel(time=slice(0, 400)).plot.line(x="time")

reskit_xr["capacity_factor"].isel(time=slice(0, 400)).plot.line(x="time")

Out[5]:

[<matplotlib.lines.Line2D at 0x7334d789c0b0>,
 <matplotlib.lines.Line2D at 0x7334d79ca990>,
 <matplotlib.lines.Line2D at 0x7334d787eb70>]

As well as the conversion factors:

In [6]:

reskit_xr["conversion_factor_electricity"].isel(time=slice(0, 400)).plot.line(x="time")

reskit_xr["conversion_factor_electricity"].isel(time=slice(0, 400)).plot.line(x="time")

Out[6]:

[<matplotlib.lines.Line2D at 0x7334cdf4ccb0>,
 <matplotlib.lines.Line2D at 0x7334cdf796a0>,
 <matplotlib.lines.Line2D at 0x7334cdf4e270>]

In [7]:

reskit_xr["electricity_input"].isel(time=slice(0, 400)).plot.line(x="time")

reskit_xr["electricity_input"].isel(time=slice(0, 400)).plot.line(x="time")

Out[7]:

[<matplotlib.lines.Line2D at 0x7334cdfc0b90>,
 <matplotlib.lines.Line2D at 0x7334cdfc3bc0>,
 <matplotlib.lines.Line2D at 0x7334cdfc2e70>]

Run the simulation workflow for an evaporative cooling system to calculate the water losses¶

In [8]:

reskit_xr = rk.cooling_heating.evaporative_cooling_wortmann2025(
    placements=placements,
    era5_path=rk.TEST_DATA["era5-like"],
    temperatureCoolant=80,
    heatTransferDelta=10,
    efficiencyCoolingTower=0.65,
)


reskit_xr

reskit_xr = rk.cooling_heating.evaporative_cooling_wortmann2025( placements=placements, era5_path=rk.TEST_DATA["era5-like"], temperatureCoolant=80, heatTransferDelta=10, efficiencyCoolingTower=0.65, ) reskit_xr

Out[8]:

<xarray.Dataset> Size: 35kB
Dimensions:                                   (location: 3, time: 140)
Coordinates:
  * location                                  (location) int64 24B 0 1 2
  * time                                      (time) datetime64[ns] 1kB 2014-...
Data variables: (12/13)
    lon                                       (location) float64 24B 5.5 ... 6.8
    lat                                       (location) float64 24B 50.8 ......
    capacity                                  (location) int64 24B 4000 ... 4000
    surface_air_temperature                   (time, location) float64 3kB -0...
    surface_dew_temperature                   (time, location) float64 3kB -0...
    relative_humidity                         (time, location) float64 3kB 97...
    ...                                        ...
    approach_temperature_evaporative_cooling  (time, location) float64 3kB 24...
    specific_mass_evaporation_loss            (time, location) float64 3kB 0....
    specific_mass_drift_loss                  (time, location) float64 3kB 0....
    specific_mass_blowdown_loss               (time, location) float64 3kB 0....
    conversion_factor_water                   (time, location) float64 3kB -1...
    total_water_losses                        (time, location) float64 3kB 4....
Attributes:
    capacity:                                  kW_th
    conversion_factor_water:                   kg_H2O/kWh_th
    wet_bulb_temperature:                      °C
    approach_temperature_evaporative_cooling:  K
    specific_mass_evaporation_loss:            kg_H2O/kWh_th
    specific_mass_drift_loss:                  kg_H2O/kWh_th
    specific_mass_blowdown_loss:               kg_H2O/kWh_th

xarray.Dataset

• Dimensions:
  • location: 3
  • time: 140
• Coordinates: (2)
  • location
    (location)
    int64
    0 1 2

    array([0, 1, 2])

  • time
    (time)
    datetime64[ns]
    2014-12-31T23:30:00 ... 2015-01-...

    array(['2014-12-31T23:30:00.000000000', '2015-01-01T00:30:00.000000000',
           '2015-01-01T01:30:00.000000000', '2015-01-01T02:30:00.000000000',
           '2015-01-01T03:30:00.000000000', '2015-01-01T04:30:00.000000000',
           '2015-01-01T05:30:00.000000000', '2015-01-01T06:30:00.000000000',
           '2015-01-01T07:30:00.000000000', '2015-01-01T08:30:00.000000000',
           '2015-01-01T09:30:00.000000000', '2015-01-01T10:30:00.000000000',
           '2015-01-01T11:30:00.000000000', '2015-01-01T12:30:00.000000000',
           '2015-01-01T13:30:00.000000000', '2015-01-01T14:30:00.000000000',
           '2015-01-01T15:30:00.000000000', '2015-01-01T16:30:00.000000000',
           '2015-01-01T17:30:00.000000000', '2015-01-01T18:30:00.000000000',
           '2015-01-01T19:30:00.000000000', '2015-01-01T20:30:00.000000000',
           '2015-01-01T21:30:00.000000000', '2015-01-01T22:30:00.000000000',
           '2015-01-01T23:30:00.000000000', '2015-01-02T00:30:00.000000000',
           '2015-01-02T01:30:00.000000000', '2015-01-02T02:30:00.000000000',
           '2015-01-02T03:30:00.000000000', '2015-01-02T04:30:00.000000000',
           '2015-01-02T05:30:00.000000000', '2015-01-02T06:30:00.000000000',
           '2015-01-02T07:30:00.000000000', '2015-01-02T08:30:00.000000000',
           '2015-01-02T09:30:00.000000000', '2015-01-02T10:30:00.000000000',
           '2015-01-02T11:30:00.000000000', '2015-01-02T12:30:00.000000000',
           '2015-01-02T13:30:00.000000000', '2015-01-02T14:30:00.000000000',
           '2015-01-02T15:30:00.000000000', '2015-01-02T16:30:00.000000000',
           '2015-01-02T17:30:00.000000000', '2015-01-02T18:30:00.000000000',
           '2015-01-02T19:30:00.000000000', '2015-01-02T20:30:00.000000000',
           '2015-01-02T21:30:00.000000000', '2015-01-02T22:30:00.000000000',
           '2015-01-02T23:30:00.000000000', '2015-01-03T00:30:00.000000000',
           '2015-01-03T01:30:00.000000000', '2015-01-03T02:30:00.000000000',
           '2015-01-03T03:30:00.000000000', '2015-01-03T04:30:00.000000000',
           '2015-01-03T05:30:00.000000000', '2015-01-03T06:30:00.000000000',
           '2015-01-03T07:30:00.000000000', '2015-01-03T08:30:00.000000000',
           '2015-01-03T09:30:00.000000000', '2015-01-03T10:30:00.000000000',
           '2015-01-03T11:30:00.000000000', '2015-01-03T12:30:00.000000000',
           '2015-01-03T13:30:00.000000000', '2015-01-03T14:30:00.000000000',
           '2015-01-03T15:30:00.000000000', '2015-01-03T16:30:00.000000000',
           '2015-01-03T17:30:00.000000000', '2015-01-03T18:30:00.000000000',
           '2015-01-03T19:30:00.000000000', '2015-01-03T20:30:00.000000000',
           '2015-01-03T21:30:00.000000000', '2015-01-03T22:30:00.000000000',
           '2015-01-03T23:30:00.000000000', '2015-01-04T00:30:00.000000000',
           '2015-01-04T01:30:00.000000000', '2015-01-04T02:30:00.000000000',
           '2015-01-04T03:30:00.000000000', '2015-01-04T04:30:00.000000000',
           '2015-01-04T05:30:00.000000000', '2015-01-04T06:30:00.000000000',
           '2015-01-04T07:30:00.000000000', '2015-01-04T08:30:00.000000000',
           '2015-01-04T09:30:00.000000000', '2015-01-04T10:30:00.000000000',
           '2015-01-04T11:30:00.000000000', '2015-01-04T12:30:00.000000000',
           '2015-01-04T13:30:00.000000000', '2015-01-04T14:30:00.000000000',
           '2015-01-04T15:30:00.000000000', '2015-01-04T16:30:00.000000000',
           '2015-01-04T17:30:00.000000000', '2015-01-04T18:30:00.000000000',
           '2015-01-04T19:30:00.000000000', '2015-01-04T20:30:00.000000000',
           '2015-01-04T21:30:00.000000000', '2015-01-04T22:30:00.000000000',
           '2015-01-04T23:30:00.000000000', '2015-01-05T00:30:00.000000000',
           '2015-01-05T01:30:00.000000000', '2015-01-05T02:30:00.000000000',
           '2015-01-05T03:30:00.000000000', '2015-01-05T04:30:00.000000000',
           '2015-01-05T05:30:00.000000000', '2015-01-05T06:30:00.000000000',
           '2015-01-05T07:30:00.000000000', '2015-01-05T08:30:00.000000000',
           '2015-01-05T09:30:00.000000000', '2015-01-05T10:30:00.000000000',
           '2015-01-05T11:30:00.000000000', '2015-01-05T12:30:00.000000000',
           '2015-01-05T13:30:00.000000000', '2015-01-05T14:30:00.000000000',
           '2015-01-05T15:30:00.000000000', '2015-01-05T16:30:00.000000000',
           '2015-01-05T17:30:00.000000000', '2015-01-05T18:30:00.000000000',
           '2015-01-05T19:30:00.000000000', '2015-01-05T20:30:00.000000000',
           '2015-01-05T21:30:00.000000000', '2015-01-05T22:30:00.000000000',
           '2015-01-05T23:30:00.000000000', '2015-01-06T00:30:00.000000000',
           '2015-01-06T01:30:00.000000000', '2015-01-06T02:30:00.000000000',
           '2015-01-06T03:30:00.000000000', '2015-01-06T04:30:00.000000000',
           '2015-01-06T05:30:00.000000000', '2015-01-06T06:30:00.000000000',
           '2015-01-06T07:30:00.000000000', '2015-01-06T08:30:00.000000000',
           '2015-01-06T09:30:00.000000000', '2015-01-06T10:30:00.000000000',
           '2015-01-06T11:30:00.000000000', '2015-01-06T12:30:00.000000000',
           '2015-01-06T13:30:00.000000000', '2015-01-06T14:30:00.000000000',
           '2015-01-06T15:30:00.000000000', '2015-01-06T16:30:00.000000000',
           '2015-01-06T17:30:00.000000000', '2015-01-06T18:30:00.000000000'],
          dtype='datetime64[ns]')

• Data variables: (13)
  • lon
    (location)
    float64
    5.5 5.995 6.8

    array([5.5     , 5.994685, 6.8     ])

  • lat
    (location)
    float64
    50.8 50.79 49.5

    array([50.797254, 50.794208, 49.5     ])

  • capacity
    (location)
    int64
    4000 4000 4000

    array([4000, 4000, 4000])

  • surface_air_temperature
    (time, location)
    float64
    -0.248 0.01567 ... 2.38 -1.624

    array([[-0.24802008,  0.01567222, -1.3686346 ],
           [-0.45357377, -0.16047537, -1.52366863],
           [-0.43064787, -0.17527834, -1.48094272],
           [-0.41460505, -0.27678196, -1.3686346 ],
           [-0.44248095, -0.36438848, -1.4382168 ],
           [-0.56191238, -0.40221456, -1.87768334],
           [-0.56835129, -0.30253776, -2.19507584],
           [-0.36298477, -0.11706351, -2.27442396],
           [-0.20414047,  0.05055484, -2.56862239],
           [ 0.35029076,  0.54601701, -2.52467574],
           [ 1.41959228,  1.54300176, -1.43089236],
           [ 2.42982897,  2.55645949, -0.93405103],
           [ 3.29112137,  3.43507084, -0.66060518],
           [ 3.775286  ,  3.96478292, -0.6642674 ],
           [ 3.81998409,  3.91387481, -0.62276223],
           [ 3.31073423,  3.30960066, -0.50801263],
           [ 2.55633064,  2.55839931, -0.59956816],
           [ 2.13402151,  2.28586305, -0.59224372],
           [ 2.06409013,  2.28707586, -0.51045412],
           [ 1.93591239,  2.20181795, -0.75216071],
    ...
           [-1.12357029, -0.83941555, -3.53178655],
           [-1.13410161, -0.85034358, -3.6025895 ],
           [-1.30120896, -1.1395393 , -3.8113361 ],
           [-1.36153644, -1.31831061, -4.08600269],
           [-1.79288798, -1.55285796, -4.2617893 ],
           [-1.86590613, -1.74503472, -4.48274331],
           [-1.82511328, -1.64068738, -4.87704245],
           [-1.51594471, -1.32144315, -4.7122425 ],
           [-1.3233778 , -1.0319751 , -4.23981597],
           [-0.20268227, -0.01314133, -2.89211859],
           [ 1.0630523 ,  1.57681526, -2.12183142],
           [ 2.21482783,  2.83553915, -1.28806574],
           [ 2.80867193,  3.55643346, -0.70699332],
           [ 2.90071073,  3.58008049,  0.06695608],
           [ 2.64614026,  3.1835323 ,  0.04132054],
           [ 2.14198845,  2.51274726, -0.04046907],
           [ 1.6188551 ,  1.91543142, -0.87545549],
           [ 1.56492743,  1.48222102, -1.21360057],
           [ 1.82969401,  1.56891671, -1.43943754],
           [ 2.37176978,  2.37996505, -1.62376934]])

  • surface_dew_temperature
    (time, location)
    float64
    -0.6266 -0.5238 ... 0.7068 -1.928

    array([[-6.26597650e-01, -5.23821219e-01, -1.41624348e+00],
           [-7.11230995e-01, -5.80670684e-01, -1.53831751e+00],
           [-7.01666201e-01, -5.91476795e-01, -1.50169530e+00],
           [-7.49154955e-01, -7.34415822e-01, -1.36619312e+00],
           [-9.27167956e-01, -9.84801786e-01, -1.49925382e+00],
           [-1.17544755e+00, -1.21498812e+00, -1.88744926e+00],
           [-1.34702164e+00, -1.36423263e+00, -2.29029359e+00],
           [-1.34620316e+00, -1.41851982e+00, -2.38429060e+00],
           [-1.27511808e+00, -1.51177911e+00, -2.68703421e+00],
           [-8.30701535e-01, -1.30169151e+00, -2.63942534e+00],
           [-3.58073879e-01, -6.68466919e-01, -1.62743156e+00],
           [-1.24979510e-01, -4.93916503e-01, -9.92646565e-01],
           [-3.27742534e-01, -4.73048280e-01, -7.25304422e-01],
           [-1.53821943e-01, -3.79933372e-01, -6.85019990e-01],
           [-1.47718241e-01, -3.61993833e-01, -6.82578509e-01],
           [-3.74373693e-01, -6.53456297e-01, -5.86140019e-01],
           [-7.85629115e-01, -1.19104714e+00, -6.41073336e-01],
           [-1.17809016e+00, -1.78950576e+00, -6.16658528e-01],
           [-1.47452895e+00, -2.32724534e+00, -5.33648183e-01],
           [-1.76385838e+00, -2.66093262e+00, -7.50939970e-01],
    ...
           [-3.33765534e+00, -4.33439241e+00, -3.78936277e+00],
           [-3.52619966e+00, -4.49151021e+00, -4.07745750e+00],
           [-3.84969586e+00, -4.91677573e+00, -4.69148991e+00],
           [-4.04549759e+00, -5.21792993e+00, -5.10165868e+00],
           [-4.45593453e+00, -5.48189328e+00, -5.47520524e+00],
           [-4.67053063e+00, -5.71838666e+00, -5.76207923e+00],
           [-4.84552669e+00, -5.88177971e+00, -6.09656209e+00],
           [-4.89301545e+00, -5.96802522e+00, -6.11975616e+00],
           [-4.72158942e+00, -5.76249691e+00, -5.69615925e+00],
           [-3.86766336e+00, -4.70975719e+00, -4.86849727e+00],
           [-2.66340996e+00, -3.20276664e+00, -3.99322642e+00],
           [-1.79515626e+00, -2.22141049e+00, -3.53666952e+00],
           [-1.54077296e+00, -1.85530130e+00, -3.07400891e+00],
           [-1.08150641e+00, -1.56916206e+00, -2.39893948e+00],
           [-9.59954747e-01, -1.45145693e+00, -2.25855434e+00],
           [-9.09004901e-01, -1.40390817e+00, -1.76781671e+00],
           [-7.33821674e-01, -1.24696673e+00, -1.98754997e+00],
           [-3.62984771e-01, -1.01824481e+00, -1.92285073e+00],
           [ 2.98522428e-01, -2.93706643e-01, -1.86059297e+00],
           [ 8.81835200e-01,  7.06765235e-01, -1.92773370e+00]])

  • relative_humidity
    (time, location)
    float64
    97.28 96.15 99.65 ... 88.69 97.78

    array([[ 97.27715714,  96.14807317,  99.65070094],
           [ 98.13649169,  96.98402198,  99.89226998],
           [ 98.04106965,  97.01196663,  99.84746671],
           [ 97.58713218,  96.71616977, 100.01794203],
           [ 96.5204123 ,  95.5682737 ,  99.55211992],
           [ 95.60944999,  94.22832088,  99.92795806],
           [ 94.4570444 ,  92.52674182,  99.29771797],
           [ 93.0583231 ,  90.92257034,  99.18953392],
           [ 92.46952357,  89.20772852,  99.12462032],
           [ 91.76133873,  87.40032079,  99.15189934],
           [ 87.93240142,  85.20514475,  98.56427114],
           [ 83.20313089,  80.26996352,  99.57178288],
           [ 77.12235242,  75.53720346,  99.52833269],
           [ 75.48078953,  73.26429084,  99.84849034],
           [ 75.27693568,  73.62336895,  99.56399692],
           [ 76.75420222,  75.21304401,  99.43140046],
           [ 78.57844255,  76.26792213,  99.69734553],
           [ 78.6848541 ,  74.41406483,  99.82188014],
           [ 77.37545979,  71.50862155,  99.83089332],
           [ 76.44157441,  70.18609928, 100.00892514],
    ...
           [ 84.88578252,  77.14879729,  98.08945053],
           [ 83.76249437,  76.30166251,  96.50098964],
           [ 82.76595072,  75.47133938,  93.59046579],
           [ 81.92050883,  74.74290277,  92.62061473],
           [ 81.99112456,  74.5335708 ,  91.22920221],
           [ 81.10983349,  74.24745878,  90.75672501],
           [ 79.80359926,  72.76666451,  91.14349747],
           [ 77.72685745,  70.61163388,  89.85550223],
           [ 77.63406439,  70.2202068 ,  89.55971944],
           [ 76.2758037 ,  70.61022034,  86.21828663],
           [ 76.14253865,  70.4941704 ,  86.98335158],
           [ 74.76092111,  69.31284437,  84.64796244],
           [ 73.02231607,  67.67081478,  83.97173695],
           [ 75.0357161 ,  68.99763638,  83.45175471],
           [ 77.08833249,  71.57588067,  84.48116257],
           [ 80.20628998,  75.32927938,  88.12220741],
           [ 84.33908417,  79.52066884,  92.14909824],
           [ 86.98878028,  83.41533772,  94.91356398],
           [ 89.55781531,  87.40392978,  96.94565765],
           [ 89.86853952,  88.68815736,  97.78379343]])

  • wet_bulb_temperature
    (time, location)
    float64
    -0.6029 -0.4302 ... 1.306 -1.941

    array([[-6.02925669e-01, -4.30183657e-01, -1.53784022e+00],
           [-7.39665565e-01, -5.38923088e-01, -1.67470942e+00],
           [-7.24363275e-01, -5.51484072e-01, -1.63524824e+00],
           [-7.44834113e-01, -6.76824709e-01, -1.50858918e+00],
           [-8.58173385e-01, -8.55966187e-01, -1.61569135e+00],
           [-1.04977194e+00, -9.99499993e-01, -2.02835640e+00],
           [-1.14685020e+00, -1.03362723e+00, -2.39698987e+00],
           [-1.05213428e+00, -9.74672159e-01, -2.48516101e+00],
           [-9.40595317e-01, -9.41690065e-01, -2.78593535e+00],
           [-4.47321600e-01, -5.94524439e-01, -2.73966080e+00],
           [ 3.02704747e-01,  2.08513635e-01, -1.68644266e+00],
           [ 9.11981977e-01,  8.03275147e-01, -1.10683066e+00],
           [ 1.25970884e+00,  1.27245544e+00, -8.35203205e-01],
           [ 1.59048172e+00,  1.59507160e+00, -8.12941940e-01],
           [ 1.61673004e+00,  1.57528071e+00, -7.94237858e-01],
           [ 1.24952159e+00,  1.12837179e+00, -6.89552170e-01],
           [ 6.71804793e-01,  4.96836020e-01, -7.60079434e-01],
           [ 2.76052636e-01,  9.94971435e-02, -7.42591542e-01],
           [ 1.10217116e-01, -1.12452853e-01, -6.59516757e-01],
           [-8.15879824e-02, -2.87329104e-01, -8.88439001e-01],
    ...
           [-2.41013741e+00, -2.67207053e+00, -3.83118454e+00],
           [-2.50007502e+00, -2.73902018e+00, -4.01881717e+00],
           [-2.73175239e+00, -3.06804447e+00, -4.43566507e+00],
           [-2.84852520e+00, -3.28432270e+00, -4.77602301e+00],
           [-3.26006190e+00, -3.51937690e+00, -5.04548099e+00],
           [-3.38982786e+00, -3.71890257e+00, -5.29556090e+00],
           [-3.43757615e+00, -3.71256209e+00, -5.65899272e+00],
           [-3.27859208e+00, -3.54582948e+00, -5.58177691e+00],
           [-3.10101884e+00, -3.29980462e+00, -5.13638609e+00],
           [-2.12548151e+00, -2.32460937e+00, -4.04060617e+00],
           [-9.32641859e-01, -8.48491626e-01, -3.23529226e+00],
           [ 5.80780836e-02,  2.39524011e-01, -2.58698733e+00],
           [ 4.88612671e-01,  7.86917003e-01, -2.07082842e+00],
           [ 7.27637725e-01,  9.07905361e-01, -1.35806627e+00],
           [ 6.42883548e-01,  7.31856299e-01, -1.30705648e+00],
           [ 4.00143443e-01,  3.82532492e-01, -1.11394582e+00],
           [ 2.14711341e-01,  1.30272792e-01, -1.63017270e+00],
           [ 3.70208529e-01,  1.06182860e-02, -1.75382759e+00],
           [ 8.35883185e-01,  4.07026431e-01, -1.82179379e+00],
           [ 1.39491891e+00,  1.30583012e+00, -1.94111897e+00]])

  • approach_temperature_evaporative_cooling
    (time, location)
    float64
    24.71 24.65 25.04 ... 24.04 25.18

    array([[24.71102398, 24.65056428, 25.03824408],
           [24.75888295, 24.68862308, 25.0861483 ],
           [24.75352715, 24.69301943, 25.07233689],
           [24.76069194, 24.73688865, 25.02800621],
           [24.80036068, 24.79958817, 25.06549197],
           [24.86742018, 24.849825  , 25.20992474],
           [24.90139757, 24.86176953, 25.33894645],
           [24.868247  , 24.84113526, 25.36980635],
           [24.82920836, 24.82959152, 25.47507737],
           [24.65656256, 24.70808355, 25.45888128],
           [24.39405334, 24.42702023, 25.09025493],
           [24.18080631, 24.2188537 , 24.88739073],
           [24.05910191, 24.0546406 , 24.79232112],
           [23.9433314 , 23.94172494, 24.78452968],
           [23.93414449, 23.94865175, 24.77798325],
           [24.06266744, 24.10506987, 24.74134326],
           [24.26486832, 24.32610739, 24.7660278 ],
           [24.40338158, 24.465176  , 24.75990704],
           [24.46142401, 24.5393585 , 24.73083087],
           [24.52855579, 24.60056519, 24.81095365],
    ...
           [25.34354809, 25.43522469, 25.84091459],
           [25.37502626, 25.45865706, 25.90658601],
           [25.45611334, 25.57381556, 26.05248278],
           [25.49698382, 25.64951295, 26.17160805],
           [25.64102166, 25.73178192, 26.26591835],
           [25.68643975, 25.8016159 , 26.35344632],
           [25.70315165, 25.79939673, 26.48064745],
           [25.64750723, 25.74104032, 26.45362192],
           [25.58535659, 25.65493162, 26.29773513],
           [25.24391853, 25.31361328, 25.91421216],
           [24.82642465, 24.79697207, 25.63235229],
           [24.47967267, 24.4161666 , 25.40544557],
           [24.32898557, 24.22457905, 25.22478995],
           [24.2453268 , 24.18223312, 24.97532319],
           [24.27499076, 24.2438503 , 24.95746977],
           [24.35994979, 24.36611363, 24.88988104],
           [24.42485103, 24.45440452, 25.07056045],
           [24.37042701, 24.4962836 , 25.11383966],
           [24.20744089, 24.35754075, 25.13762782],
           [24.01177838, 24.04295946, 25.17939164]])

  • specific_mass_evaporation_loss
    (time, location)
    float64
    0.8161 0.8197 ... 0.853 0.7981

    array([[0.81613378, 0.81968887, 0.80117696],
           [0.8133212 , 0.81731692, 0.79910628],
           [0.81363471, 0.81712143, 0.79967399],
           [0.81393096, 0.81588147, 0.80111849],
           [0.81378908, 0.81499838, 0.80028106],
           [0.81243547, 0.81480567, 0.79443517],
           [0.81260019, 0.81649379, 0.79031121],
           [0.8155836 , 0.81929643, 0.7892678 ],
           [0.81778176, 0.82188701, 0.78533505],
           [0.825256  , 0.8291149 , 0.78592167],
           [0.84064798, 0.84316601, 0.8005387 ],
           [0.85557516, 0.85834223, 0.8068525 ],
           [0.86922914, 0.87178597, 0.81039531],
           [0.87622326, 0.87967981, 0.81029121],
           [0.87689188, 0.87885589, 0.81087644],
           [0.86964123, 0.87029262, 0.81237639],
           [0.85900659, 0.85997467, 0.81115105],
           [0.85337855, 0.85713197, 0.811223  ],
           [0.852964  , 0.85839983, 0.81227231],
           [0.85162587, 0.85784303, 0.80912998],
    ...
           [0.80765306, 0.8138483 , 0.77238857],
           [0.80782664, 0.81398917, 0.77161853],
           [0.80586414, 0.81035072, 0.7691447 ],
           [0.80529445, 0.80816107, 0.7654649 ],
           [0.79941928, 0.80501737, 0.76321834],
           [0.79867243, 0.80246832, 0.76018234],
           [0.79961028, 0.80441577, 0.7545424 ],
           [0.80447448, 0.80959274, 0.75707912],
           [0.80712943, 0.81371685, 0.76380386],
           [0.82269796, 0.82739364, 0.78326447],
           [0.83997334, 0.84926654, 0.79364663],
           [0.85603931, 0.86670938, 0.80551298],
           [0.86467305, 0.87702269, 0.81346915],
           [0.86501053, 0.87668878, 0.8238132 ],
           [0.86079418, 0.87026828, 0.82314046],
           [0.85289837, 0.85976221, 0.82104277],
           [0.84446634, 0.85014973, 0.80910656],
           [0.84287386, 0.84296266, 0.80406683],
           [0.84555995, 0.84279411, 0.80070692],
           [0.85254328, 0.85302886, 0.79812922]])

  • specific_mass_drift_loss
    (time, location)
    float64
    0.08604 0.08604 ... 0.08604 0.08604

    array([[0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
    ...
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207],
           [0.08604207, 0.08604207, 0.08604207]])

  • specific_mass_blowdown_loss
    (time, location)
    float64
    0.204 0.2049 ... 0.2133 0.1995

    array([[0.20403345, 0.20492222, 0.20029424],
           [0.2033303 , 0.20432923, 0.19977657],
           [0.20340868, 0.20428036, 0.1999185 ],
           [0.20348274, 0.20397037, 0.20027962],
           [0.20344727, 0.20374959, 0.20007026],
           [0.20310887, 0.20370142, 0.19860879],
           [0.20315005, 0.20412345, 0.1975778 ],
           [0.2038959 , 0.20482411, 0.19731695],
           [0.20444544, 0.20547175, 0.19633376],
           [0.206314  , 0.20727873, 0.19648042],
           [0.210162  , 0.2107915 , 0.20013468],
           [0.21389379, 0.21458556, 0.20171312],
           [0.21730729, 0.21794649, 0.20259883],
           [0.21905582, 0.21991995, 0.2025728 ],
           [0.21922297, 0.21971397, 0.20271911],
           [0.21741031, 0.21757315, 0.2030941 ],
           [0.21475165, 0.21499367, 0.20278776],
           [0.21334464, 0.21428299, 0.20280575],
           [0.213241  , 0.21459996, 0.20306808],
           [0.21290647, 0.21446076, 0.2022825 ],
    ...
           [0.20191327, 0.20346207, 0.19309714],
           [0.20195666, 0.20349729, 0.19290463],
           [0.20146603, 0.20258768, 0.19228618],
           [0.20132361, 0.20204027, 0.19136623],
           [0.19985482, 0.20125434, 0.19080458],
           [0.19966811, 0.20061708, 0.19004559],
           [0.19990257, 0.20110394, 0.1886356 ],
           [0.20111862, 0.20239818, 0.18926978],
           [0.20178236, 0.20342921, 0.19095097],
           [0.20567449, 0.20684841, 0.19581612],
           [0.20999333, 0.21231664, 0.19841166],
           [0.21400983, 0.21667735, 0.20137824],
           [0.21616826, 0.21925567, 0.20336729],
           [0.21625263, 0.2191722 , 0.2059533 ],
           [0.21519855, 0.21756707, 0.20578511],
           [0.21322459, 0.21494055, 0.20526069],
           [0.21111659, 0.21253743, 0.20227664],
           [0.21071846, 0.21074067, 0.20101671],
           [0.21138999, 0.21069853, 0.20017673],
           [0.21313582, 0.21325721, 0.1995323 ]])

  • conversion_factor_water
    (time, location)
    float64
    -1.106 -1.111 ... -1.152 -1.084

    array([[-1.10620929, -1.11065316, -1.08751326],
           [-1.10269357, -1.10768821, -1.08492491],
           [-1.10308545, -1.10744385, -1.08563456],
           [-1.10345577, -1.1058939 , -1.08744018],
           [-1.10327841, -1.10479004, -1.08639338],
           [-1.10158641, -1.10454916, -1.07908603],
           [-1.10179231, -1.1066593 , -1.07393108],
           [-1.10552156, -1.1101626 , -1.07262681],
           [-1.10826926, -1.11340082, -1.06771088],
           [-1.11761207, -1.12243569, -1.06844415],
           [-1.13685204, -1.13999957, -1.08671544],
           [-1.15551101, -1.15896985, -1.09460769],
           [-1.1725785 , -1.17577453, -1.0990362 ],
           [-1.18132114, -1.18564182, -1.09890608],
           [-1.18215691, -1.18461193, -1.09963761],
           [-1.1730936 , -1.17390784, -1.10151255],
           [-1.1598003 , -1.1610104 , -1.09998088],
           [-1.15276525, -1.15745703, -1.10007081],
           [-1.15224707, -1.15904185, -1.10138245],
           [-1.1505744 , -1.15834585, -1.09745455],
    ...
           [-1.09560839, -1.10335244, -1.05152778],
           [-1.09582537, -1.10352853, -1.05056523],
           [-1.09337224, -1.09898046, -1.04747294],
           [-1.09266013, -1.0962434 , -1.04287319],
           [-1.08531616, -1.09231378, -1.04006499],
           [-1.08438261, -1.08912747, -1.03626999],
           [-1.08555491, -1.09156177, -1.02922007],
           [-1.09163516, -1.09803299, -1.03239096],
           [-1.09495386, -1.10318813, -1.0407969 ],
           [-1.11441452, -1.12028412, -1.06512266],
           [-1.13600874, -1.14762524, -1.07810036],
           [-1.15609121, -1.16942879, -1.09293329],
           [-1.16688337, -1.18232043, -1.1028785 ],
           [-1.16730523, -1.18190304, -1.11580857],
           [-1.16203479, -1.17387742, -1.11496764],
           [-1.15216503, -1.16074482, -1.11234553],
           [-1.14162499, -1.14872923, -1.09742527],
           [-1.13963439, -1.13974539, -1.0911256 ],
           [-1.142992  , -1.13953471, -1.08692571],
           [-1.15172117, -1.15232814, -1.08370359]])

  • total_water_losses
    (time, location)
    float64
    4.425e+03 4.443e+03 ... 4.335e+03

    array([[4424.83717397, 4442.61262334, 4350.05304638],
           [4410.77428431, 4430.75285328, 4339.69965529],
           [4412.34180208, 4429.77541359, 4342.53822338],
           [4413.823065  , 4423.57558811, 4349.76072663],
           [4413.11365109, 4419.16015064, 4345.57353692],
           [4406.3456294 , 4418.19662955, 4316.34411713],
           [4407.1692257 , 4426.6372015 , 4295.72431331],
           [4422.08625832, 4440.65041942, 4290.50723782],
           [4433.07704093, 4453.60329183, 4270.84351891],
           [4470.44828322, 4489.74277277, 4273.77659372],
           [4547.40816694, 4559.99829836, 4346.86177693],
           [4622.04404243, 4635.87939266, 4378.43074835],
           [4690.31398378, 4703.09810398, 4396.14479954],
           [4725.28457001, 4742.56729725, 4395.62431686],
           [4728.62764141, 4738.44772357, 4398.5504408 ],
           [4692.37440252, 4695.63134418, 4406.05020599],
           [4639.20120262, 4644.04158698, 4399.92351743],
           [4611.06101866, 4629.82810582, 4400.28324431],
           [4608.98827079, 4636.16740169, 4405.52981751],
           [4602.29761463, 4633.38339712, 4389.81818126],
    ...
           [4382.43356267, 4413.40974427, 4206.11112226],
           [4383.30147484, 4414.11412799, 4202.26090637],
           [4373.48894763, 4395.92185383, 4189.89177969],
           [4370.64053054, 4384.973587  , 4171.49276862],
           [4341.26465921, 4369.25510628, 4160.25995796],
           [4337.53042049, 4356.50987511, 4145.07996477],
           [4342.21965059, 4366.24708883, 4116.88028018],
           [4366.54064247, 4392.13195475, 4129.56383969],
           [4379.81542677, 4412.75252496, 4163.18758265],
           [4457.6580738 , 4481.13646713, 4260.49062549],
           [4544.03494214, 4590.50097018, 4312.40143168],
           [4624.36482876, 4677.71517453, 4371.73315398],
           [4667.53349527, 4729.28170826, 4411.51401274],
           [4669.22090674, 4727.61217085, 4463.23426673],
           [4648.13917156, 4695.50968473, 4459.87055223],
           [4608.66012837, 4642.97928634, 4449.38210749],
           [4566.49996389, 4594.91693296, 4389.70107348],
           [4558.53755032, 4558.98156112, 4364.50239522],
           [4571.96800661, 4558.13883409, 4347.70284739],
           [4606.88466189, 4609.31254241, 4334.81434748]])

• Attributes: (7)

  capacity :

  kW_th

  conversion_factor_water :

  kg_H2O/kWh_th

  wet_bulb_temperature :

  °C

  approach_temperature_evaporative_cooling :

  K

  specific_mass_evaporation_loss :

  kg_H2O/kWh_th

  specific_mass_drift_loss :

  kg_H2O/kWh_th

  specific_mass_blowdown_loss :

  kg_H2O/kWh_th

In [9]:

reskit_xr["conversion_factor_water"].std(dim="time")

reskit_xr["conversion_factor_water"].std(dim="time")

Out[9]:

<xarray.DataArray 'conversion_factor_water' (location: 3)> Size: 24B
array([0.03379537, 0.03082596, 0.03771017])
Coordinates:
  * location  (location) int64 24B 0 1 2

xarray.DataArray

'conversion_factor_water'

• location: 3

• 0.0338 0.03083 0.03771

  array([0.03379537, 0.03082596, 0.03771017])

• Coordinates: (1)
  • location
    (location)
    int64
    0 1 2

    array([0, 1, 2])

In [10]:

reskit_xr["conversion_factor_water"].isel(time=slice(0, 400)).plot.line(x="time")

reskit_xr["conversion_factor_water"].isel(time=slice(0, 400)).plot.line(x="time")

Out[10]:

[<matplotlib.lines.Line2D at 0x7334d787cda0>,
 <matplotlib.lines.Line2D at 0x7334cde823c0>,
 <matplotlib.lines.Line2D at 0x7334cde822a0>]

The following plot show the influence of temperature vs. the conversion factor (specific water demand) for location 0:

In [11]:

import matplotlib.pyplot as plt

fig, ax = plt.subplots(nrows=1, ncols=1)
ax.scatter(reskit_xr["surface_air_temperature"], -reskit_xr["conversion_factor_water"])
ax.set_title("Ambient Air Temperature vs. Water Consumption")
ax.set_ylabel("Specific Water Loss [kg$_{H2O}$/kWh$_{th}$]")
ax.set_xlabel("Air Temperature [°C]")

import matplotlib.pyplot as plt fig, ax = plt.subplots(nrows=1, ncols=1) ax.scatter(reskit_xr["surface_air_temperature"], -reskit_xr["conversion_factor_water"]) ax.set_title("Ambient Air Temperature vs. Water Consumption") ax.set_ylabel("Specific Water Loss [kg$_{H2O}$/kWh$_{th}$]") ax.set_xlabel("Air Temperature [°C]")

Out[11]:

Text(0.5, 0, 'Air Temperature [°C]')

PyparsingDeprecationWarning: /home/docs/checkouts/readthedocs.org/user_builds/ethos-reskit/conda/align-docs-branding/lib/python3.12/site-packages/matplotlib/_fontconfig_pattern.py:85
'parseString' deprecated - use 'parse_string'PyparsingDeprecationWarning: /home/docs/checkouts/readthedocs.org/user_builds/ethos-reskit/conda/align-docs-branding/lib/python3.12/site-packages/matplotlib/_fontconfig_pattern.py:89
'resetCache' deprecated - use 'reset_cache'PyparsingDeprecationWarning: /home/docs/checkouts/readthedocs.org/user_builds/ethos-reskit/conda/align-docs-branding/lib/python3.12/site-packages/matplotlib/_mathtext.py:2010
'oneOf' deprecated - use 'one_of'PyparsingDeprecationWarning: /home/docs/checkouts/readthedocs.org/user_builds/ethos-reskit/conda/align-docs-branding/lib/python3.12/site-packages/matplotlib/_mathtext.py:2012
'oneOf' deprecated - use 'one_of'PyparsingDeprecationWarning: /home/docs/checkouts/readthedocs.org/user_builds/ethos-reskit/conda/align-docs-branding/lib/python3.12/site-packages/matplotlib/_mathtext.py:2020
'leaveWhitespace' deprecated - use 'leave_whitespace'PyparsingDeprecationWarning: /home/docs/checkouts/readthedocs.org/user_builds/ethos-reskit/conda/align-docs-branding/lib/python3.12/site-packages/matplotlib/_mathtext.py:2024
'oneOf' deprecated - use 'one_of'PyparsingDeprecationWarning: /home/docs/checkouts/readthedocs.org/user_builds/ethos-reskit/conda/align-docs-branding/lib/python3.12/site-packages/matplotlib/_mathtext.py:2027
'oneOf' deprecated - use 'one_of'PyparsingDeprecationWarning: /home/docs/checkouts/readthedocs.org/user_builds/ethos-reskit/conda/align-docs-branding/lib/python3.12/site-packages/matplotlib/_mathtext.py:1984
'setName' deprecated - use 'set_name'PyparsingDeprecationWarning: /home/docs/checkouts/readthedocs.org/user_builds/ethos-reskit/conda/align-docs-branding/lib/python3.12/site-packages/matplotlib/_mathtext.py:1987
'setParseAction' deprecated - use 'set_parse_action'PyparsingDeprecationWarning: /home/docs/checkouts/readthedocs.org/user_builds/ethos-reskit/conda/align-docs-branding/lib/python3.12/site-packages/matplotlib/_mathtext.py:1748
'setParseAction' deprecated - use 'set_parse_action'PyparsingDeprecationWarning: /home/docs/checkouts/readthedocs.org/user_builds/ethos-reskit/conda/align-docs-branding/lib/python3.12/site-packages/matplotlib/_mathtext.py:2088
'endQuoteChar' argument is deprecated, use 'end_quote_char'PyparsingDeprecationWarning: /home/docs/checkouts/readthedocs.org/user_builds/ethos-reskit/conda/align-docs-branding/lib/python3.12/site-packages/matplotlib/_mathtext.py:2097
'oneOf' deprecated - use 'one_of'PyparsingDeprecationWarning: /home/docs/checkouts/readthedocs.org/user_builds/ethos-reskit/conda/align-docs-branding/lib/python3.12/site-packages/matplotlib/_mathtext.py:2146
'unquoteResults' argument is deprecated, use 'unquote_results'PyparsingDeprecationWarning: /home/docs/checkouts/readthedocs.org/user_builds/ethos-reskit/conda/align-docs-branding/lib/python3.12/site-packages/matplotlib/_mathtext.py:2147
'leaveWhitespace' deprecated - use 'leave_whitespace'PyparsingDeprecationWarning: /home/docs/checkouts/readthedocs.org/user_builds/ethos-reskit/conda/align-docs-branding/lib/python3.12/site-packages/matplotlib/_mathtext.py:2170
'parseString' deprecated - use 'parse_string'PyparsingDeprecationWarning: /home/docs/checkouts/readthedocs.org/user_builds/ethos-reskit/conda/align-docs-branding/lib/python3.12/site-packages/matplotlib/_mathtext.py:2197
'parseString' deprecated - use 'parse_string'PyparsingDeprecationWarning: /home/docs/checkouts/readthedocs.org/user_builds/ethos-reskit/conda/align-docs-branding/lib/python3.12/site-packages/pyparsing/util.py:466
'parseAll' argument is deprecated, use 'parse_all'PyparsingDeprecationWarning: /home/docs/checkouts/readthedocs.org/user_builds/ethos-reskit/conda/align-docs-branding/lib/python3.12/site-packages/matplotlib/_mathtext.py:2178
'resetCache' deprecated - use 'reset_cache'

Run the simulation workflow for air source heat pumps¶

RESKit will run the simulation and create an xarray Dataset with the simulation results for you.

In [12]:

reskit_hp = rk.cooling_heating.air_source_heat_pump(placements=placements, era5_path=rk.TEST_DATA["era5-like"])
reskit_hp

reskit_hp = rk.cooling_heating.air_source_heat_pump(placements=placements, era5_path=rk.TEST_DATA["era5-like"]) reskit_hp

Out[12]:

<xarray.Dataset> Size: 18kB
Dimensions:                        (location: 3, time: 140)
Coordinates:
  * location                       (location) int64 24B 0 1 2
  * time                           (time) datetime64[ns] 1kB 2014-12-31T23:30...
Data variables:
    lon                            (location) float64 24B 5.5 5.995 6.8
    lat                            (location) float64 24B 50.8 50.79 49.5
    capacity                       (location) int64 24B 4000 4000 4000
    surface_air_temperature        (time, location) float64 3kB -0.248 ... -1...
    COP                            (time, location) float64 3kB 1.861 ... 1.836
    conversion_factor_electricity  (time, location) float64 3kB -0.5373 ... -...
    electricity_input              (time, location) float64 3kB 2.149e+03 ......
    heat_output                    (time, location) float64 3kB 4e+03 ... 4e+03
Attributes:
    capacity:                       kW_th
    conversion_factor_electricity:  kWh_el/kWh_th
    electricity_input:              kWh_el
    heat_output:                    kWh_th
    COP:                            -

xarray.Dataset

• Dimensions:
  • location: 3
  • time: 140
• Coordinates: (2)
  • location
    (location)
    int64
    0 1 2

    array([0, 1, 2])

  • time
    (time)
    datetime64[ns]
    2014-12-31T23:30:00 ... 2015-01-...

    array(['2014-12-31T23:30:00.000000000', '2015-01-01T00:30:00.000000000',
           '2015-01-01T01:30:00.000000000', '2015-01-01T02:30:00.000000000',
           '2015-01-01T03:30:00.000000000', '2015-01-01T04:30:00.000000000',
           '2015-01-01T05:30:00.000000000', '2015-01-01T06:30:00.000000000',
           '2015-01-01T07:30:00.000000000', '2015-01-01T08:30:00.000000000',
           '2015-01-01T09:30:00.000000000', '2015-01-01T10:30:00.000000000',
           '2015-01-01T11:30:00.000000000', '2015-01-01T12:30:00.000000000',
           '2015-01-01T13:30:00.000000000', '2015-01-01T14:30:00.000000000',
           '2015-01-01T15:30:00.000000000', '2015-01-01T16:30:00.000000000',
           '2015-01-01T17:30:00.000000000', '2015-01-01T18:30:00.000000000',
           '2015-01-01T19:30:00.000000000', '2015-01-01T20:30:00.000000000',
           '2015-01-01T21:30:00.000000000', '2015-01-01T22:30:00.000000000',
           '2015-01-01T23:30:00.000000000', '2015-01-02T00:30:00.000000000',
           '2015-01-02T01:30:00.000000000', '2015-01-02T02:30:00.000000000',
           '2015-01-02T03:30:00.000000000', '2015-01-02T04:30:00.000000000',
           '2015-01-02T05:30:00.000000000', '2015-01-02T06:30:00.000000000',
           '2015-01-02T07:30:00.000000000', '2015-01-02T08:30:00.000000000',
           '2015-01-02T09:30:00.000000000', '2015-01-02T10:30:00.000000000',
           '2015-01-02T11:30:00.000000000', '2015-01-02T12:30:00.000000000',
           '2015-01-02T13:30:00.000000000', '2015-01-02T14:30:00.000000000',
           '2015-01-02T15:30:00.000000000', '2015-01-02T16:30:00.000000000',
           '2015-01-02T17:30:00.000000000', '2015-01-02T18:30:00.000000000',
           '2015-01-02T19:30:00.000000000', '2015-01-02T20:30:00.000000000',
           '2015-01-02T21:30:00.000000000', '2015-01-02T22:30:00.000000000',
           '2015-01-02T23:30:00.000000000', '2015-01-03T00:30:00.000000000',
           '2015-01-03T01:30:00.000000000', '2015-01-03T02:30:00.000000000',
           '2015-01-03T03:30:00.000000000', '2015-01-03T04:30:00.000000000',
           '2015-01-03T05:30:00.000000000', '2015-01-03T06:30:00.000000000',
           '2015-01-03T07:30:00.000000000', '2015-01-03T08:30:00.000000000',
           '2015-01-03T09:30:00.000000000', '2015-01-03T10:30:00.000000000',
           '2015-01-03T11:30:00.000000000', '2015-01-03T12:30:00.000000000',
           '2015-01-03T13:30:00.000000000', '2015-01-03T14:30:00.000000000',
           '2015-01-03T15:30:00.000000000', '2015-01-03T16:30:00.000000000',
           '2015-01-03T17:30:00.000000000', '2015-01-03T18:30:00.000000000',
           '2015-01-03T19:30:00.000000000', '2015-01-03T20:30:00.000000000',
           '2015-01-03T21:30:00.000000000', '2015-01-03T22:30:00.000000000',
           '2015-01-03T23:30:00.000000000', '2015-01-04T00:30:00.000000000',
           '2015-01-04T01:30:00.000000000', '2015-01-04T02:30:00.000000000',
           '2015-01-04T03:30:00.000000000', '2015-01-04T04:30:00.000000000',
           '2015-01-04T05:30:00.000000000', '2015-01-04T06:30:00.000000000',
           '2015-01-04T07:30:00.000000000', '2015-01-04T08:30:00.000000000',
           '2015-01-04T09:30:00.000000000', '2015-01-04T10:30:00.000000000',
           '2015-01-04T11:30:00.000000000', '2015-01-04T12:30:00.000000000',
           '2015-01-04T13:30:00.000000000', '2015-01-04T14:30:00.000000000',
           '2015-01-04T15:30:00.000000000', '2015-01-04T16:30:00.000000000',
           '2015-01-04T17:30:00.000000000', '2015-01-04T18:30:00.000000000',
           '2015-01-04T19:30:00.000000000', '2015-01-04T20:30:00.000000000',
           '2015-01-04T21:30:00.000000000', '2015-01-04T22:30:00.000000000',
           '2015-01-04T23:30:00.000000000', '2015-01-05T00:30:00.000000000',
           '2015-01-05T01:30:00.000000000', '2015-01-05T02:30:00.000000000',
           '2015-01-05T03:30:00.000000000', '2015-01-05T04:30:00.000000000',
           '2015-01-05T05:30:00.000000000', '2015-01-05T06:30:00.000000000',
           '2015-01-05T07:30:00.000000000', '2015-01-05T08:30:00.000000000',
           '2015-01-05T09:30:00.000000000', '2015-01-05T10:30:00.000000000',
           '2015-01-05T11:30:00.000000000', '2015-01-05T12:30:00.000000000',
           '2015-01-05T13:30:00.000000000', '2015-01-05T14:30:00.000000000',
           '2015-01-05T15:30:00.000000000', '2015-01-05T16:30:00.000000000',
           '2015-01-05T17:30:00.000000000', '2015-01-05T18:30:00.000000000',
           '2015-01-05T19:30:00.000000000', '2015-01-05T20:30:00.000000000',
           '2015-01-05T21:30:00.000000000', '2015-01-05T22:30:00.000000000',
           '2015-01-05T23:30:00.000000000', '2015-01-06T00:30:00.000000000',
           '2015-01-06T01:30:00.000000000', '2015-01-06T02:30:00.000000000',
           '2015-01-06T03:30:00.000000000', '2015-01-06T04:30:00.000000000',
           '2015-01-06T05:30:00.000000000', '2015-01-06T06:30:00.000000000',
           '2015-01-06T07:30:00.000000000', '2015-01-06T08:30:00.000000000',
           '2015-01-06T09:30:00.000000000', '2015-01-06T10:30:00.000000000',
           '2015-01-06T11:30:00.000000000', '2015-01-06T12:30:00.000000000',
           '2015-01-06T13:30:00.000000000', '2015-01-06T14:30:00.000000000',
           '2015-01-06T15:30:00.000000000', '2015-01-06T16:30:00.000000000',
           '2015-01-06T17:30:00.000000000', '2015-01-06T18:30:00.000000000'],
          dtype='datetime64[ns]')

• Data variables: (8)
  • lon
    (location)
    float64
    5.5 5.995 6.8

    array([5.5     , 5.994685, 6.8     ])

  • lat
    (location)
    float64
    50.8 50.79 49.5

    array([50.797254, 50.794208, 49.5     ])

  • capacity
    (location)
    int64
    4000 4000 4000

    array([4000, 4000, 4000])

  • surface_air_temperature
    (time, location)
    float64
    -0.248 0.01567 ... 2.38 -1.624

    array([[-0.24802008,  0.01567222, -1.3686346 ],
           [-0.45357377, -0.16047537, -1.52366863],
           [-0.43064787, -0.17527834, -1.48094272],
           [-0.41460505, -0.27678196, -1.3686346 ],
           [-0.44248095, -0.36438848, -1.4382168 ],
           [-0.56191238, -0.40221456, -1.87768334],
           [-0.56835129, -0.30253776, -2.19507584],
           [-0.36298477, -0.11706351, -2.27442396],
           [-0.20414047,  0.05055484, -2.56862239],
           [ 0.35029076,  0.54601701, -2.52467574],
           [ 1.41959228,  1.54300176, -1.43089236],
           [ 2.42982897,  2.55645949, -0.93405103],
           [ 3.29112137,  3.43507084, -0.66060518],
           [ 3.775286  ,  3.96478292, -0.6642674 ],
           [ 3.81998409,  3.91387481, -0.62276223],
           [ 3.31073423,  3.30960066, -0.50801263],
           [ 2.55633064,  2.55839931, -0.59956816],
           [ 2.13402151,  2.28586305, -0.59224372],
           [ 2.06409013,  2.28707586, -0.51045412],
           [ 1.93591239,  2.20181795, -0.75216071],
    ...
           [-1.12357029, -0.83941555, -3.53178655],
           [-1.13410161, -0.85034358, -3.6025895 ],
           [-1.30120896, -1.1395393 , -3.8113361 ],
           [-1.36153644, -1.31831061, -4.08600269],
           [-1.79288798, -1.55285796, -4.2617893 ],
           [-1.86590613, -1.74503472, -4.48274331],
           [-1.82511328, -1.64068738, -4.87704245],
           [-1.51594471, -1.32144315, -4.7122425 ],
           [-1.3233778 , -1.0319751 , -4.23981597],
           [-0.20268227, -0.01314133, -2.89211859],
           [ 1.0630523 ,  1.57681526, -2.12183142],
           [ 2.21482783,  2.83553915, -1.28806574],
           [ 2.80867193,  3.55643346, -0.70699332],
           [ 2.90071073,  3.58008049,  0.06695608],
           [ 2.64614026,  3.1835323 ,  0.04132054],
           [ 2.14198845,  2.51274726, -0.04046907],
           [ 1.6188551 ,  1.91543142, -0.87545549],
           [ 1.56492743,  1.48222102, -1.21360057],
           [ 1.82969401,  1.56891671, -1.43943754],
           [ 2.37176978,  2.37996505, -1.62376934]])

  • COP
    (time, location)
    float64
    1.861 1.866 1.841 ... 1.911 1.836

    array([[1.86113401, 1.86604245, 1.84055947],
           [1.85732566, 1.86276073, 1.8377488 ],
           [1.85774964, 1.86248547, 1.83852253],
           [1.85804645, 1.86060019, 1.84055947],
           [1.85753078, 1.85897611, 1.83929692],
           [1.8553247 , 1.85827574, 1.83136281],
           [1.85520591, 1.86012243, 1.82567505],
           [1.85900211, 1.86356844, 1.82425862],
           [1.86194901, 1.8666937 , 1.81902609],
           [1.87230852, 1.87599324, 1.8198058 ],
           [1.89261745, 1.89498972, 1.83942974],
           [1.91221352, 1.91469849, 1.84848421],
           [1.92924375, 1.93211968, 1.85350565],
           [1.93895094, 1.94277689, 1.85343821],
           [1.93985204, 1.94174757, 1.85420273],
           [1.92963509, 1.92961247, 1.85631966],
           [1.91469596, 1.91473661, 1.85463023],
           [1.90643371, 1.90939618, 1.85476527],
           [1.90507241, 1.90941988, 1.85627457],
           [1.90258233, 1.9077553 , 1.85182133],
    ...
           [1.8450199 , 1.85021897, 1.80210355],
           [1.84482778, 1.85001849, 1.80087198],
           [1.84178453, 1.84472859, 1.79725073],
           [1.84068836, 1.84147366, 1.79250807],
           [1.83288836, 1.83722057, 1.78948588],
           [1.83157454, 1.83375042, 1.78570158],
           [1.8323083 , 1.835633  , 1.778988  ],
           [1.83788862, 1.84141672, 1.78178784],
           [1.84138157, 1.84669259, 1.7898631 ],
           [1.8619761 , 1.86550485, 1.81330701],
           [1.88579701, 1.89564075, 1.82698447],
           [1.90800912, 1.92019797, 1.84202353],
           [1.91966715, 1.93455102, 1.85265188],
           [1.92148677, 1.93502547, 1.86700007],
           [1.91646228, 1.92709985, 1.86652126],
           [1.90658891, 1.91383996, 1.86499525],
           [1.89645079, 1.90218505, 1.84955794],
           [1.89541182, 1.89382061, 1.84337874],
           [1.90052377, 1.89548864, 1.83927479],
           [1.91107633, 1.91123677, 1.83593859]])

  • conversion_factor_electricity
    (time, location)
    float64
    -0.5373 -0.5359 ... -0.5232 -0.5447

    array([[-0.53730682, -0.53589349, -0.54331306],
           [-0.53840854, -0.5368376 , -0.54414401],
           [-0.53828566, -0.53691694, -0.54391501],
           [-0.53819968, -0.53746098, -0.54331306],
           [-0.53834909, -0.53793053, -0.54368601],
           [-0.53898921, -0.53813327, -0.54604145],
           [-0.53902372, -0.53759902, -0.5477426 ],
           [-0.53792301, -0.53660492, -0.54816789],
           [-0.53707164, -0.53570653, -0.54974473],
           [-0.53410001, -0.53305096, -0.54950918],
           [-0.52836879, -0.52770735, -0.54364675],
           [-0.52295415, -0.52227544, -0.54098379],
           [-0.51833782, -0.51756628, -0.53951818],
           [-0.51574281, -0.51472715, -0.53953781],
           [-0.51550323, -0.515     , -0.53931535],
           [-0.5182327 , -0.51823877, -0.53870032],
           [-0.52227613, -0.52226504, -0.53919104],
           [-0.52453961, -0.52372578, -0.53915178],
           [-0.52491443, -0.52371928, -0.53871341],
           [-0.52560143, -0.52417624, -0.5400089 ],
    ...
           [-0.54199957, -0.54047657, -0.55490707],
           [-0.54205602, -0.54053514, -0.55528656],
           [-0.54295168, -0.54208516, -0.55640539],
           [-0.54327502, -0.54304334, -0.55787754],
           [-0.54558696, -0.54430046, -0.55881972],
           [-0.54597833, -0.54533048, -0.56000398],
           [-0.54575969, -0.5447712 , -0.56211734],
           [-0.54410261, -0.54306013, -0.56123405],
           [-0.5430705 , -0.54150864, -0.55870195],
           [-0.53706382, -0.53604792, -0.55147859],
           [-0.53027977, -0.52752611, -0.54735003],
           [-0.52410651, -0.52077964, -0.54288123],
           [-0.52092364, -0.51691581, -0.53976681],
           [-0.52043033, -0.51678906, -0.53561862],
           [-0.52179477, -0.51891447, -0.53575602],
           [-0.52449691, -0.52250973, -0.53619439],
           [-0.52730079, -0.52571121, -0.54066973],
           [-0.52758983, -0.52803312, -0.54248211],
           [-0.52617074, -0.52756845, -0.54369255],
           [-0.52326534, -0.52322141, -0.54468053]])

  • electricity_input
    (time, location)
    float64
    2.149e+03 2.144e+03 ... 2.179e+03

    array([[2149.22728299, 2143.57395743, 2173.25224927],
           [2153.63416891, 2147.35040317, 2176.57603923],
           [2153.14265837, 2147.66776565, 2175.66003413],
           [2152.79871468, 2149.8439118 , 2173.25224927],
           [2153.39634886, 2151.72211662, 2174.74402902],
           [2155.95685114, 2152.53307386, 2184.16579585],
           [2156.09489572, 2150.39609293, 2190.97040522],
           [2151.69202243, 2146.41969202, 2192.67155756],
           [2148.28654365, 2142.82610553, 2198.97890702],
           [2136.40003739, 2132.20384283, 2198.03673034],
           [2113.47517545, 2110.82938751, 2174.58699957],
           [2091.81661049, 2089.10176618, 2163.93516874],
           [2073.35127703, 2070.26513011, 2158.07273605],
           [2062.97122334, 2058.90858005, 2158.15125077],
           [2062.01293649, 2060.00000418, 2157.26141724],
           [2072.93079509, 2072.95509769, 2154.80128923],
           [2089.10452874, 2089.06017819, 2156.76415732],
           [2098.15845618, 2094.90311028, 2156.60712787],
           [2099.65772205, 2094.87710882, 2154.85363238],
           [2102.40573737, 2096.7049615 , 2160.03560414],
    ...
           [2167.99829103, 2161.90626926, 2219.62827932],
           [2168.2240732 , 2162.14055655, 2221.14623064],
           [2171.80670423, 2168.34065219, 2225.62156989],
           [2173.10007099, 2172.17334827, 2231.51017415],
           [2182.34785965, 2177.20183221, 2235.27888088],
           [2183.91330296, 2181.32192879, 2240.01593587],
           [2183.03874107, 2179.08481583, 2248.46935444],
           [2176.4104454 , 2172.24050704, 2244.93619188],
           [2172.28198421, 2166.03457262, 2234.80779254],
           [2148.25528119, 2144.19169396, 2205.91437427],
           [2121.11907163, 2110.10445648, 2189.40011075],
           [2096.42604137, 2083.11854963, 2171.52492535],
           [2083.6945586 , 2067.66322481, 2159.06725588],
           [2081.72132971, 2067.15625364, 2142.47447763],
           [2087.17909124, 2075.65788981, 2143.0240807 ],
           [2097.98765211, 2090.03891712, 2144.77757619],
           [2109.20316003, 2102.84483078, 2162.67893316],
           [2110.35932074, 2112.13247172, 2169.92845931],
           [2104.68296376, 2110.27379415, 2174.77020059],
           [2093.06134733, 2092.88564813, 2178.72210834]])

  • heat_output
    (time, location)
    float64
    4e+03 4e+03 4e+03 ... 4e+03 4e+03

    array([[4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
    ...
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.],
           [4000., 4000., 4000.]])

• Attributes: (5)

  capacity :

  kW_th

  conversion_factor_electricity :

  kWh_el/kWh_th

  electricity_input :

  kWh_el

  heat_output :

  kWh_th

  COP :

  -

In [13]:

reskit_hp["COP"].isel(time=slice(0, 400)).plot.line(x="time")

reskit_hp["COP"].isel(time=slice(0, 400)).plot.line(x="time")

Out[13]:

[<matplotlib.lines.Line2D at 0x7334cdde7da0>,
 <matplotlib.lines.Line2D at 0x7334cdef4380>,
 <matplotlib.lines.Line2D at 0x7334cdc667b0>]