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tests_unit
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65
README.md
65
README.md
|
|
@ -1,13 +1,25 @@
|
|||
# monthly_energy_balance_workflow
|
||||
|
||||
This tool calculates the monthly energy balance for each building in a given region.
|
||||
It provides as results the energy demand and consumption separated in:
|
||||
- Heating
|
||||
- Cooling
|
||||
- Domestic Hot Water
|
||||
|
||||
Also, electrical demand of:
|
||||
- Lighting
|
||||
- Other appliances
|
||||
|
||||
And heating and cooling peak loads.
|
||||
|
||||
All these results are provided both, monthly a yearly based.
|
||||
|
||||
The following assumptions are taken:
|
||||
- No building in the region have attics
|
||||
- All buildings have basement but those are not heated
|
||||
- The construction details come from nrel
|
||||
- The usage details come from comnet
|
||||
- The heated volume is 85% of the total volume, assuming that the rest is occupied by internal walls
|
||||
- The construction details come from nrcan
|
||||
- The usage details come from nrcan
|
||||
- The system details come from the Montreal Custom catalog
|
||||
|
||||
#### Dependencies
|
||||
|
||||
|
|
@ -18,50 +30,3 @@ You will need to install the following dependencies in your computer in order to
|
|||
+ Simplified Radiosity Algorithm (mail to: guillermo.gutierrezmorote@concordia.ca)
|
||||
|
||||
After installing these tools you should include their paths in Path.
|
||||
|
||||
## installation
|
||||
|
||||
##### Linux / Mac
|
||||
|
||||
Open a terminal and run the following commands.
|
||||
|
||||
```
|
||||
$ mkdir monthly_enery_balance_workflow
|
||||
$ cd monthly_enery_balance_workflow
|
||||
$ git clone https://binarycat.org/git/PMAU/monthly_enery_balance_workflow.git
|
||||
MISSING CONNECTING TO HUB, SIMLPIFIED_RADIOSITY_ALGORITHM AND MONTHLYENERGYBALANCE!!!!!!!!!
|
||||
$ python -m pip install -r ../requirements.txt
|
||||
```
|
||||
|
||||
##### Windows
|
||||
|
||||
Open a terminal and run the following commands.
|
||||
|
||||
```
|
||||
c:\> mkdir monthly_enery_balance_workflow
|
||||
c:\> cd monthly_enery_balance_workflow
|
||||
c:\> git clone https://binarycat.org/git/PMAU/monthly_enery_balance_workflow.git
|
||||
MISSING CONNECTING TO HUB, SIMLPIFIED_RADIOSITY_ALGORITHM AND MONTHLYENERGYBALANCE!!!!!!!!!
|
||||
c:\> python.exe -m pip install -r ../requirements.txt
|
||||
```
|
||||
|
||||
|
||||
|
||||
|
||||
#### usage
|
||||
|
||||
##### Linux / Mac
|
||||
|
||||
Open a terminal and run the following command
|
||||
|
||||
```
|
||||
$ python main.py
|
||||
```
|
||||
|
||||
##### Windows
|
||||
|
||||
Open a terminal and run the following command.
|
||||
|
||||
```
|
||||
c:\> python.exe main.py
|
||||
```
|
||||
|
|
|
|||
File diff suppressed because it is too large
Load Diff
|
|
@ -1,594 +0,0 @@
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|||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
"Z_Max":69.462000000000003,
|
||||
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|
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1541
input_files/output_buildings.geojson
Normal file
1541
input_files/output_buildings.geojson
Normal file
File diff suppressed because it is too large
Load Diff
1254205
input_files/part.geojson
1254205
input_files/part.geojson
File diff suppressed because it is too large
Load Diff
|
|
@ -1,129 +0,0 @@
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"CIVIQUE_DE": " 5750",
|
||||
"CIVIQUE_FI": " 5750",
|
||||
"NOM_RUE": "boulevard Rosemont (MTL)",
|
||||
"SUITE_DEBU": " ",
|
||||
"MUNICIPALI": "50",
|
||||
"ETAGE_HORS": 0,
|
||||
"NOMBRE_LOG": 0,
|
||||
"ANNEE_CONS": 1923,
|
||||
"CODE_UTILI": "6911",
|
||||
"LETTRE_DEB": " ",
|
||||
"LETTRE_FIN": " ",
|
||||
"LIBELLE_UT": "\u00c3\u2030glise, synagogue, mosqu\u00c3\u00a9e et temple",
|
||||
"CATEGORIE_": "R\u00c3\u00a9gulier",
|
||||
"MATRICULE8": "0048-16-8416-5-000-0000",
|
||||
"SUPERFICIE": 24793,
|
||||
"SUPERFIC_1": 0,
|
||||
"NO_ARROND_": "REM24",
|
||||
"Shape_Leng": 0.00384776818364,
|
||||
"OBJECTID": 9526,
|
||||
"Join_Count": 3,
|
||||
"TARGET_FID": 9526,
|
||||
"feature_id": "5bfd7e8c-95aa-4782-9f2f-ed07d1dd2294",
|
||||
"md_id": " ",
|
||||
"acqtech": 1360,
|
||||
"acqtech_en": "Lidar",
|
||||
"acqtech_fr": "Lidar",
|
||||
"provider": 461,
|
||||
"provideren": "Municipal",
|
||||
"providerfr": "Municipal",
|
||||
"datemin": "20151124",
|
||||
"datemax": "20151208",
|
||||
"haccmin": 2,
|
||||
"haccmax": 2,
|
||||
"vaccmin": 1,
|
||||
"vaccmax": 1,
|
||||
"heightmin": 2.1,
|
||||
"heightmax": 12,
|
||||
"elevmin": 38.08,
|
||||
"elevmax": 38.57,
|
||||
"bldgarea": 25,
|
||||
"comment": " ",
|
||||
"OBJECTID_1": 9526,
|
||||
"Shape_Le_1": 0.00384776818364,
|
||||
"Shape_Ar_1": 3.92694421841e-07,
|
||||
"OBJECTID_12": 9526,
|
||||
"Join_Count_1": 1,
|
||||
"TARGET_FID_1": 9525,
|
||||
"g_objectid": "1586794",
|
||||
"g_co_mrc": "66023",
|
||||
"g_code_mun": "66023",
|
||||
"g_arrond": "REM24",
|
||||
"g_anrole": "2019",
|
||||
"g_usag_pre": "Institutionnel",
|
||||
"g_no_lot": "1361698",
|
||||
"g_nb_poly_": "1",
|
||||
"g_utilisat": "6911",
|
||||
"g_nb_logem": " ",
|
||||
"g_nb_locau": "2",
|
||||
"g_descript": "Unit\u00c3\u00a9 d'\u00c3\u00a9valuation",
|
||||
"g_id_provi": "66023004816841650000000",
|
||||
"g_sup_tota": "24792.9",
|
||||
"g_geometry": "0.00743004",
|
||||
"g_geomet_1": "2.85762e-006",
|
||||
"g_dat_acqu": "2020-02-12 00:00:00.0000000",
|
||||
"g_dat_char": "2020-02-17 00:00:00.0000000",
|
||||
"Shape_Leng_1": 0.00384776818364,
|
||||
"Shape_Area_1": 3.92694421841e-07,
|
||||
"Shape_Length": 0.0038477700316121004,
|
||||
"Shape_Area": 3.92694421841e-07
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
2473
input_files/summerschool_all_buildings.geojson
Normal file
2473
input_files/summerschool_all_buildings.geojson
Normal file
File diff suppressed because it is too large
Load Diff
294
input_files/summerschool_one_building.geojson
Normal file
294
input_files/summerschool_one_building.geojson
Normal file
|
|
@ -0,0 +1,294 @@
|
|||
{
|
||||
"type": "FeatureCollection",
|
||||
"features": [
|
||||
{
|
||||
"type": "Feature",
|
||||
"id": 12,
|
||||
"geometry": {
|
||||
"type": "Polygon",
|
||||
"coordinates": [
|
||||
[
|
||||
[
|
||||
-73.57945149010348,
|
||||
45.49793915473101
|
||||
],
|
||||
[
|
||||
-73.57945502047383,
|
||||
45.497935600591106
|
||||
],
|
||||
[
|
||||
-73.57945748913181,
|
||||
45.49793681276347
|
||||
],
|
||||
[
|
||||
-73.57945995778985,
|
||||
45.49793802493576
|
||||
],
|
||||
[
|
||||
-73.57946108986009,
|
||||
45.49793688584562
|
||||
],
|
||||
[
|
||||
-73.57946222064952,
|
||||
45.49793574585649
|
||||
],
|
||||
[
|
||||
-73.57946503164756,
|
||||
45.497932909392325
|
||||
],
|
||||
[
|
||||
-73.5794800321942,
|
||||
45.497917804072586
|
||||
],
|
||||
[
|
||||
-73.57949503273288,
|
||||
45.49790269875081
|
||||
],
|
||||
[
|
||||
-73.57950823165471,
|
||||
45.49788939886833
|
||||
],
|
||||
[
|
||||
-73.57952143057031,
|
||||
45.497876098984314
|
||||
],
|
||||
[
|
||||
-73.57952481016481,
|
||||
45.49787269972034
|
||||
],
|
||||
[
|
||||
-73.57952818975889,
|
||||
45.49786930045622
|
||||
],
|
||||
[
|
||||
-73.57963374256275,
|
||||
45.49776298233438
|
||||
],
|
||||
[
|
||||
-73.57963739684415,
|
||||
45.497759299424665
|
||||
],
|
||||
[
|
||||
-73.57956562282082,
|
||||
45.49772405755894
|
||||
],
|
||||
[
|
||||
-73.5795624921933,
|
||||
45.497722521006246
|
||||
],
|
||||
[
|
||||
-73.57955974509859,
|
||||
45.4977252944393
|
||||
],
|
||||
[
|
||||
-73.57953557695755,
|
||||
45.497749634054365
|
||||
],
|
||||
[
|
||||
-73.5795114087957,
|
||||
45.497773973664174
|
||||
],
|
||||
[
|
||||
-73.57945076790263,
|
||||
45.49783505227953
|
||||
],
|
||||
[
|
||||
-73.57939012687844,
|
||||
45.49789613086214
|
||||
],
|
||||
[
|
||||
-73.57938759058709,
|
||||
45.49789868818189
|
||||
],
|
||||
[
|
||||
-73.57938505429556,
|
||||
45.49790124550157
|
||||
],
|
||||
[
|
||||
-73.57941717242674,
|
||||
45.49791701633786
|
||||
],
|
||||
[
|
||||
-73.5794136407655,
|
||||
45.497920563278754
|
||||
],
|
||||
[
|
||||
-73.57943256542505,
|
||||
45.497929854507255
|
||||
],
|
||||
[
|
||||
-73.57944202776348,
|
||||
45.49793450461953
|
||||
],
|
||||
[
|
||||
-73.57945149010348,
|
||||
45.49793915473101
|
||||
]
|
||||
]
|
||||
]
|
||||
},
|
||||
"properties": {
|
||||
"OBJECTID_12": 12,
|
||||
"gml_id": 1340982,
|
||||
"gml_parent": "fme-gen-5fa2a82b-c38e-4bf0-9e8f-10a47b9f64f7",
|
||||
"citygml_ta": "http://www.opengis.net/citygml/building/2.0",
|
||||
"citygml_fe": "cityObjectMember",
|
||||
"citygml__1": " ",
|
||||
"citygml__2": " ",
|
||||
"gml_descri": " ",
|
||||
"gml_name": " ",
|
||||
"citygml_cr": " ",
|
||||
"citygml_te": " ",
|
||||
"externalRe": " ",
|
||||
"external_1": " ",
|
||||
"external_2": " ",
|
||||
"citygml_ge": " ",
|
||||
"citygml_re": " ",
|
||||
"citygml__3": " ",
|
||||
"citygml_ap": " ",
|
||||
"citygml_cl": " ",
|
||||
"citygml__4": " ",
|
||||
"citygml_fu": " ",
|
||||
"citygml__5": " ",
|
||||
"citygml_us": " ",
|
||||
"citygml__6": " ",
|
||||
"citygml_ye": " ",
|
||||
"citygml__7": " ",
|
||||
"citygml_ro": " ",
|
||||
"citygml__8": " ",
|
||||
"citygml_me": 19.113,
|
||||
"citygml__9": "#m",
|
||||
"citygml_st": " ",
|
||||
"citygml_10": " ",
|
||||
"citygml_11": " ",
|
||||
"citygml_12": " ",
|
||||
"citygml_13": " ",
|
||||
"citygml_14": " ",
|
||||
"citygml_ou": " ",
|
||||
"citygml_in": " ",
|
||||
"citygml_bo": " ",
|
||||
"citygml_le": " ",
|
||||
"citygml_15": " ",
|
||||
"citygml_co": " ",
|
||||
"citygml_ad": " ",
|
||||
"Volume": "2931.350",
|
||||
"parcelle": " ",
|
||||
"OBJECTID": 1056,
|
||||
"gml_id_1": "384b2b1c-2e25-4f6a-b082-d272dba3453f",
|
||||
"gml_pare_1": 1340982,
|
||||
"citygml_16": "http://www.opengis.net/citygml/building/2.0",
|
||||
"citygml_17": "boundedBy",
|
||||
"citygml_18": " ",
|
||||
"citygml_19": " ",
|
||||
"gml_desc_1": " ",
|
||||
"gml_name_1": " ",
|
||||
"citygml_20": " ",
|
||||
"citygml_21": " ",
|
||||
"external_3": " ",
|
||||
"external_4": " ",
|
||||
"external_5": " ",
|
||||
"citygml_22": " ",
|
||||
"citygml_23": " ",
|
||||
"citygml_24": " ",
|
||||
"citygml_25": " ",
|
||||
"citygml_26": " ",
|
||||
"citygml_op": " ",
|
||||
"Area": 191.404,
|
||||
"FID_": 0,
|
||||
"Join_Count": 2,
|
||||
"TARGET_FID": 1058,
|
||||
"gml_id_12": 1340982,
|
||||
"gml_pare_2": "fme-gen-5fa2a82b-c38e-4bf0-9e8f-10a47b9f64f7",
|
||||
"citygml_27": "http://www.opengis.net/citygml/building/2.0",
|
||||
"citygml_28": "cityObjectMember",
|
||||
"citygml_29": " ",
|
||||
"citygml_30": " ",
|
||||
"gml_desc_2": " ",
|
||||
"gml_name_2": " ",
|
||||
"citygml_31": " ",
|
||||
"citygml_32": " ",
|
||||
"external_6": " ",
|
||||
"external_7": " ",
|
||||
"external_8": " ",
|
||||
"citygml_33": " ",
|
||||
"citygml_34": " ",
|
||||
"citygml_35": " ",
|
||||
"citygml_36": " ",
|
||||
"citygml_37": " ",
|
||||
"citygml_38": " ",
|
||||
"citygml_39": " ",
|
||||
"citygml_40": " ",
|
||||
"citygml_41": " ",
|
||||
"citygml_42": " ",
|
||||
"citygml_43": " ",
|
||||
"citygml_44": " ",
|
||||
"citygml_45": " ",
|
||||
"citygml_46": " ",
|
||||
"citygml_47": 19.113,
|
||||
"citygml_48": "#m",
|
||||
"citygml_49": " ",
|
||||
"citygml_50": " ",
|
||||
"citygml_51": " ",
|
||||
"citygml_52": " ",
|
||||
"citygml_53": " ",
|
||||
"citygml_54": " ",
|
||||
"citygml_55": " ",
|
||||
"citygml_56": " ",
|
||||
"citygml_57": " ",
|
||||
"citygml_58": " ",
|
||||
"citygml_59": " ",
|
||||
"citygml_60": " ",
|
||||
"citygml_61": " ",
|
||||
"Volume_1": "2931.350",
|
||||
"Field": 0,
|
||||
"Field1": 0,
|
||||
"OBJECTID_1": 1056,
|
||||
"gml_id_12_": "384b2b1c-2e25-4f6a-b082-d272dba3453f",
|
||||
"gml_pare_3": 1340982,
|
||||
"citygml_62": "http://www.opengis.net/citygml/building/2.0",
|
||||
"citygml_63": "boundedBy",
|
||||
"citygml_64": " ",
|
||||
"citygml_65": " ",
|
||||
"gml_desc_3": " ",
|
||||
"gml_name_3": " ",
|
||||
"citygml_66": " ",
|
||||
"citygml_67": " ",
|
||||
"external_9": " ",
|
||||
"externa_10": " ",
|
||||
"externa_11": " ",
|
||||
"citygml_68": " ",
|
||||
"citygml_69": " ",
|
||||
"citygml_70": " ",
|
||||
"citygml_71": " ",
|
||||
"citygml_72": " ",
|
||||
"citygml_73": " ",
|
||||
"Area_1": 191.404,
|
||||
"cityGML_hi": 0,
|
||||
"Z_Min": 46.1162,
|
||||
"Z_Max": 64.399,
|
||||
"Shape_Leng": 63.6906066955,
|
||||
"ID_UEV": "01036804",
|
||||
"CIVIQUE_DE": " 2170",
|
||||
"CIVIQUE_FI": " 2170",
|
||||
"NOM_RUE": "rue Bishop (MTL)",
|
||||
"MUNICIPALI": 50,
|
||||
"ETAGE_HORS": 3,
|
||||
"NOMBRE_LOG": 1,
|
||||
"ANNEE_CONS": 1900,
|
||||
"CODE_UTILI": 6000,
|
||||
"LIBELLE_UT": "Immeuble à bureaux",
|
||||
"CATEGORIE_": "Régulier",
|
||||
"MATRICULE8": "9839-57-7770-3-000-0000",
|
||||
"SUPERFICIE": 259,
|
||||
"SUPERFIC_1": 490,
|
||||
"NO_ARROND_": "REM19",
|
||||
"Shape_Le_1": 0.00093336765858,
|
||||
"Shape_Ar_1": 3.0845126501e-8,
|
||||
"Z_Min_1": null,
|
||||
"Z_Max_1": null,
|
||||
"Shape_Length": 63.69060669550123,
|
||||
"Shape_Area": 174.69050030775531
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
2473
input_files/test_buildings.geojson
Normal file
2473
input_files/test_buildings.geojson
Normal file
File diff suppressed because it is too large
Load Diff
97
main.py
97
main.py
|
|
@ -3,63 +3,68 @@ from pathlib import Path
|
|||
from hub.imports.geometry_factory import GeometryFactory
|
||||
from hub.imports.construction_factory import ConstructionFactory
|
||||
from hub.imports.usage_factory import UsageFactory
|
||||
from hub.imports.weather_factory import WeatherFactory
|
||||
from hub.helpers.dictionaries import Dictionaries
|
||||
from hub.imports.energy_systems_factory import EnergySystemsFactory
|
||||
import hub.helpers.constants as cte
|
||||
from results import Results
|
||||
from monthly_energy_balance_engine import MonthlyEnergyBalanceEngine
|
||||
from sra_engine import SraEngine
|
||||
|
||||
|
||||
#try:
|
||||
file_path = (Path(__file__).parent / 'input_files' / 'selected_building_1724.geojson')
|
||||
climate_reference_city = 'Montreal'
|
||||
weather_file = 'CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw'
|
||||
weather_format = 'epw'
|
||||
construction_format = 'nrcan'
|
||||
usage_format = 'nrcan'
|
||||
attic_heated_case = 0
|
||||
basement_heated_case = 1
|
||||
try:
|
||||
file_path = (Path(__file__).parent / 'input_files' / 'output_buildings.geojson')
|
||||
construction_format = 'nrcan'
|
||||
usage_format = 'nrcan'
|
||||
energy_systems_format = 'montreal_custom'
|
||||
|
||||
out_path = (Path(__file__).parent / 'output_files')
|
||||
tmp_folder = (Path(__file__).parent / 'tmp')
|
||||
out_path = (Path(__file__).parent / 'output_files')
|
||||
tmp_folder = (Path(__file__).parent / 'tmp')
|
||||
|
||||
print('[simulation start]')
|
||||
city = GeometryFactory('geojson',
|
||||
path=file_path,
|
||||
height_field='heightmax',
|
||||
year_of_construction_field='ANNEE_CONS',
|
||||
function_field='CODE_UTILI',
|
||||
function_to_hub=Dictionaries().montreal_function_to_hub_function).city
|
||||
city.climate_reference_city = climate_reference_city
|
||||
city.climate_file = (tmp_folder / f'{climate_reference_city}.cli').resolve()
|
||||
print(f'city created from {file_path}')
|
||||
WeatherFactory(weather_format, city, file_name=weather_file).enrich()
|
||||
print('enrich weather... done')
|
||||
ConstructionFactory(construction_format, city).enrich()
|
||||
print('enrich constructions... done')
|
||||
UsageFactory(usage_format, city).enrich()
|
||||
print('enrich usage... done')
|
||||
print('[simulation start]')
|
||||
city = GeometryFactory('geojson',
|
||||
path=file_path,
|
||||
height_field='height',
|
||||
year_of_construction_field='year_of_construction',
|
||||
function_field='function',
|
||||
function_to_hub=Dictionaries().montreal_function_to_hub_function).city
|
||||
|
||||
print('exporting:')
|
||||
sra_file = (tmp_folder / f'{city.name}_sra.xml').resolve()
|
||||
SraEngine(city, sra_file, tmp_folder, weather_file)
|
||||
# Assign radiation to the city
|
||||
print(' sra processed...')
|
||||
print(f'city created from {file_path}')
|
||||
ConstructionFactory(construction_format, city).enrich()
|
||||
print('enrich constructions... done')
|
||||
UsageFactory(usage_format, city).enrich()
|
||||
print('enrich usage... done')
|
||||
i = 1
|
||||
x = len(city.buildings)
|
||||
for building in city.buildings:
|
||||
if i < x:
|
||||
building.energy_systems_archetype_name = 'system 1 gas'
|
||||
else:
|
||||
building.energy_systems_archetype_name = 'system 6 gas'
|
||||
i = i + 1
|
||||
EnergySystemsFactory(energy_systems_format, city).enrich()
|
||||
print('enrich systems... done')
|
||||
|
||||
for building in city.buildings:
|
||||
building.attic_heated = attic_heated_case
|
||||
building.basement_heated = basement_heated_case
|
||||
MonthlyEnergyBalanceEngine(city, tmp_folder)
|
||||
print(' insel processed...')
|
||||
print('exporting:')
|
||||
SraEngine(city, tmp_folder)
|
||||
print(' sra processed...')
|
||||
MonthlyEnergyBalanceEngine(city, tmp_folder)
|
||||
print(' insel processed...')
|
||||
|
||||
results = Results(city, out_path)
|
||||
results.print()
|
||||
for building in city.buildings:
|
||||
for energy_system in building.energy_systems:
|
||||
if cte.HEATING in energy_system.demand_types:
|
||||
energy_system.generation_system.heat_power = building.heating_peak_load[cte.YEAR][0]
|
||||
if cte.COOLING in energy_system.demand_types:
|
||||
energy_system.generation_system.cooling_power = building.cooling_peak_load[cte.YEAR][0]
|
||||
|
||||
print('print results...')
|
||||
print('importing results:')
|
||||
results = Results(city, out_path)
|
||||
results.print()
|
||||
print('results printed...')
|
||||
|
||||
print('[simulation end]')
|
||||
print('[simulation end]')
|
||||
|
||||
#except Exception as ex:
|
||||
# print(ex)
|
||||
# print('error: ', ex)
|
||||
#print('[simulation abort]')
|
||||
except Exception as ex:
|
||||
print(ex)
|
||||
print('error: ', ex)
|
||||
print('[simulation abort]')
|
||||
|
|
|
|||
|
|
@ -15,7 +15,7 @@ class MonthlyEnergyBalanceEngine:
|
|||
self._file_path = file_path
|
||||
EnergyBuildingsExportsFactory('insel_monthly_energy_balance', self._city, self._file_path).export()
|
||||
self._run()
|
||||
ResultFactory('insel_meb', self._city, self._file_path).enrich()
|
||||
ResultFactory('insel_monthly_energy_balance', self._city, self._file_path).enrich()
|
||||
|
||||
def _run(self):
|
||||
"""
|
||||
|
|
@ -27,4 +27,3 @@ class MonthlyEnergyBalanceEngine:
|
|||
subprocess.run(['insel', str(insel_file)], stdout=subprocess.DEVNULL)
|
||||
except (SubprocessError, TimeoutExpired, CalledProcessError) as error:
|
||||
raise Exception(error)
|
||||
|
||||
|
|
|
|||
144
results.py
144
results.py
|
|
@ -9,34 +9,125 @@ class Results:
|
|||
self._path = path
|
||||
|
||||
def print(self):
|
||||
print_results = None
|
||||
file = 'city name: ' + self._city.name + '\n'
|
||||
for building in self._city.buildings:
|
||||
if cte.MONTH in building.heating.keys():
|
||||
heating_results = building.heating[cte.MONTH].rename(columns={cte.INSEL_MEB: f'{building.name} heating Wh'})
|
||||
cooling_results = building.cooling[cte.MONTH].rename(columns={cte.INSEL_MEB: f'{building.name} cooling Wh'})
|
||||
lighting_results = building.lighting_electrical_demand[cte.MONTH]\
|
||||
.rename(columns={cte.INSEL_MEB: f'{building.name} lighting electrical demand Wh'})
|
||||
appliances_results = building.appliances_electrical_demand[cte.MONTH]\
|
||||
.rename(columns={cte.INSEL_MEB: f'{building.name} appliances electrical demand Wh'})
|
||||
dhw_results = building.domestic_hot_water_heat_demand[cte.MONTH]\
|
||||
.rename(columns={cte.INSEL_MEB: f'{building.name} domestic hot water demand Wh'})
|
||||
if cte.MONTH in building.heating_demand.keys():
|
||||
heating_results = building.heating_demand[cte.MONTH]
|
||||
else:
|
||||
array = [None] * 12
|
||||
heating_results = pd.DataFrame(array, columns=[f'{building.name} heating Wh'])
|
||||
cooling_results = pd.DataFrame(array, columns=[f'{building.name} cooling Wh'])
|
||||
lighting_results = pd.DataFrame(array, columns=[f'{building.name} lighting electrical demand Wh'])
|
||||
appliances_results = pd.DataFrame(array, columns=[f'{building.name} appliances electrical demand Wh'])
|
||||
dhw_results = pd.DataFrame(array, columns=[f'{building.name} domestic hot water demand Wh'])
|
||||
if print_results is None:
|
||||
print_results = heating_results
|
||||
heating_results = [None] * 12
|
||||
if cte.MONTH in building.cooling_demand.keys():
|
||||
cooling_results = building.cooling_demand[cte.MONTH]
|
||||
else:
|
||||
print_results = pd.concat([print_results, heating_results], axis='columns')
|
||||
print_results = pd.concat([print_results,
|
||||
cooling_results,
|
||||
lighting_results,
|
||||
appliances_results,
|
||||
dhw_results], axis='columns')
|
||||
cooling_results = [None] * 12
|
||||
if cte.MONTH in building.lighting_electrical_demand.keys():
|
||||
lighting_results = building.lighting_electrical_demand[cte.MONTH]
|
||||
else:
|
||||
lighting_results = [None] * 12
|
||||
if cte.MONTH in building.appliances_electrical_demand.keys():
|
||||
appliances_results = building.appliances_electrical_demand[cte.MONTH]
|
||||
else:
|
||||
appliances_results = [None] * 12
|
||||
if cte.MONTH in building.domestic_hot_water_heat_demand.keys():
|
||||
dhw_results = building.domestic_hot_water_heat_demand[cte.MONTH]
|
||||
else:
|
||||
dhw_results = [None] * 12
|
||||
|
||||
if cte.MONTH in building.heating_consumption.keys():
|
||||
heating_consumption_results = building.heating_consumption[cte.MONTH]
|
||||
else:
|
||||
heating_consumption_results = [None] * 12
|
||||
if cte.MONTH in building.cooling_consumption.keys():
|
||||
cooling_consumption_results = building.cooling_consumption[cte.MONTH]
|
||||
else:
|
||||
cooling_consumption_results = [None] * 12
|
||||
if cte.MONTH in building.domestic_hot_water_consumption.keys():
|
||||
dhw_consumption_results = building.domestic_hot_water_consumption[cte.MONTH]
|
||||
else:
|
||||
dhw_consumption_results = [None] * 12
|
||||
|
||||
if cte.MONTH in building.heating_peak_load.keys():
|
||||
heating_peak_load_results = building.heating_peak_load[cte.MONTH]
|
||||
else:
|
||||
heating_peak_load_results = [None] * 12
|
||||
if cte.MONTH in building.cooling_peak_load.keys():
|
||||
cooling_peak_load_results = building.cooling_peak_load[cte.MONTH]
|
||||
else:
|
||||
cooling_peak_load_results = [None] * 12
|
||||
heating = 0
|
||||
cooling = 0
|
||||
for system in building.energy_systems:
|
||||
for demand_type in system.demand_types:
|
||||
if demand_type == cte.HEATING:
|
||||
heating = 1
|
||||
if demand_type == cte.COOLING:
|
||||
cooling = 1
|
||||
if cte.MONTH in building.heating_peak_load.keys() and cte.MONTH in building.cooling_peak_load.keys():
|
||||
peak_lighting = 0
|
||||
peak_appliances = 0
|
||||
thermal_zone = building.thermal_zones_from_internal_zones[0]
|
||||
lighting = thermal_zone.lighting
|
||||
for schedule in lighting.schedules:
|
||||
for value in schedule.values:
|
||||
if value * lighting.density * thermal_zone.total_floor_area > peak_lighting:
|
||||
peak_lighting = value * lighting.density * thermal_zone.total_floor_area
|
||||
appliances = thermal_zone.appliances
|
||||
for schedule in appliances.schedules:
|
||||
for value in schedule.values:
|
||||
if value * appliances.density * thermal_zone.total_floor_area > peak_appliances:
|
||||
peak_appliances = value * appliances.density * thermal_zone.total_floor_area
|
||||
|
||||
monthly_electricity_peak = [0.9 * peak_lighting + 0.7 * peak_appliances] * 12
|
||||
conditioning_peak = []
|
||||
for i, value in enumerate(building.heating_peak_load[cte.MONTH]):
|
||||
if cooling * building.cooling_peak_load[cte.MONTH][i] > heating * value:
|
||||
conditioning_peak.append(cooling * building.cooling_peak_load[cte.MONTH][i])
|
||||
else:
|
||||
conditioning_peak.append(heating * value)
|
||||
monthly_electricity_peak[i] += 0.8 * conditioning_peak[i]
|
||||
|
||||
electricity_peak_load_results = monthly_electricity_peak
|
||||
else:
|
||||
electricity_peak_load_results = [None] * 12
|
||||
|
||||
if cte.MONTH in building.onsite_electrical_production.keys():
|
||||
monthly_onsite_electrical_production = building.onsite_electrical_production[cte.MONTH]
|
||||
onsite_electrical_production = monthly_onsite_electrical_production
|
||||
else:
|
||||
onsite_electrical_production = [None] * 12
|
||||
|
||||
if cte.MONTH in building.distribution_systems_electrical_consumption.keys():
|
||||
extra_electrical_consumption = building.distribution_systems_electrical_consumption[cte.MONTH]
|
||||
else:
|
||||
extra_electrical_consumption = [None] * 12
|
||||
|
||||
columns_names = [f'{building.name} heating demand J',
|
||||
f'{building.name} cooling demand J',
|
||||
f'{building.name} lighting demand J',
|
||||
f'{building.name} appliances demand J',
|
||||
f'{building.name} domestic hot water demand J',
|
||||
f'{building.name} heating consumption J',
|
||||
f'{building.name} cooling consumption J',
|
||||
f'{building.name} domestic hot water consumption J',
|
||||
f'{building.name} heating peak load W',
|
||||
f'{building.name} cooling peak load W',
|
||||
f'{building.name} electricity peak load W',
|
||||
f'{building.name} onsite electrical production J',
|
||||
f'{building.name} extra electrical consumption J'
|
||||
]
|
||||
print_results = pd.DataFrame([heating_results,
|
||||
cooling_results,
|
||||
lighting_results,
|
||||
appliances_results,
|
||||
dhw_results,
|
||||
heating_consumption_results,
|
||||
cooling_consumption_results,
|
||||
dhw_consumption_results,
|
||||
heating_peak_load_results,
|
||||
cooling_peak_load_results,
|
||||
electricity_peak_load_results,
|
||||
onsite_electrical_production,
|
||||
extra_electrical_consumption]).T
|
||||
print_results.columns = columns_names
|
||||
file += '\n'
|
||||
file += f'name: {building.name}\n'
|
||||
file += f'year of construction: {building.year_of_construction}\n'
|
||||
|
|
@ -46,11 +137,10 @@ class Results:
|
|||
file += f'storeys: {int(building.eave_height / building.average_storey_height)}\n'
|
||||
else:
|
||||
file += f'storeys: n/a\n'
|
||||
file += f'heated_volume: {0.85 * building.volume}\n'
|
||||
file += f'volume: {building.volume}\n'
|
||||
|
||||
full_path_results = Path(self._path / 'demand.csv').resolve()
|
||||
print_results.to_csv(full_path_results, na_rep='null')
|
||||
full_path_results = Path(self._path / f'demand_{building.name}.csv').resolve()
|
||||
print_results.to_csv(full_path_results, na_rep='null')
|
||||
full_path_metadata = Path(self._path / 'metadata.csv').resolve()
|
||||
with open(full_path_metadata, 'w') as metadata_file:
|
||||
metadata_file.write(file)
|
||||
|
|
|
|||
|
|
@ -7,21 +7,19 @@ from hub.imports.results_factory import ResultFactory
|
|||
|
||||
|
||||
class SraEngine:
|
||||
def __init__(self, city, file_path, output_file_path, weather_file):
|
||||
def __init__(self, city, output_file_path):
|
||||
"""
|
||||
SRA class
|
||||
:param file_path: _sra.xml file path
|
||||
:param city: City
|
||||
:param output_file_path: path to output the sra calculation
|
||||
"""
|
||||
self._city = city
|
||||
self._file_path = file_path
|
||||
self._output_file_path = output_file_path
|
||||
self._weather_file = weather_file
|
||||
if platform.system() == 'Linux':
|
||||
self._executable = 'citysim_sra'
|
||||
self._executable = 'sra'
|
||||
elif platform.system() == 'Windows':
|
||||
self._executable = 'shortwave_integer'
|
||||
ExportsFactory('sra', self._city, output_file_path, weather_file=self._weather_file, weather_format='epw').export()
|
||||
self._executable = 'sra.exe'
|
||||
ExportsFactory('sra', self._city, output_file_path).export()
|
||||
self._run()
|
||||
ResultFactory('sra', self._city, output_file_path).enrich()
|
||||
|
||||
|
|
@ -30,6 +28,8 @@ class SraEngine:
|
|||
Calls the software
|
||||
"""
|
||||
try:
|
||||
subprocess.run([self._executable, str(self._file_path)], stdout=subprocess.DEVNULL)
|
||||
subprocess.run([self._executable,
|
||||
(self._output_file_path / f'{self._city.name}_sra.xml')],
|
||||
stdout=subprocess.DEVNULL)
|
||||
except (SubprocessError, TimeoutExpired, CalledProcessError) as error:
|
||||
raise Exception(error)
|
||||
|
|
|
|||
0
test_problems
Normal file
0
test_problems
Normal file
Loading…
Reference in New Issue
Block a user