From d8e5e12e8e36db06c11023cffb7c7f18c3610e37 Mon Sep 17 00:00:00 2001 From: Majid Rezaei Date: Thu, 1 Aug 2024 11:39:05 -0400 Subject: [PATCH] (WIP) feature: add pipe sizing to dhn analysis --- main.py | 23 +- .../district_heating_factory.py | 55 +- work_in_progress.ipynb | 591 ++++++++---------- 3 files changed, 347 insertions(+), 322 deletions(-) diff --git a/main.py b/main.py index ceb7979a..bb7b42c3 100644 --- a/main.py +++ b/main.py @@ -25,6 +25,7 @@ from scripts.pv_feasibility import pv_feasibility import matplotlib.pyplot as plt from scripts.district_heating_network.district_heating_network_creator import DistrictHeatingNetworkCreator from scripts.district_heating_network.road_processor import road_processor +from scripts.district_heating_network.district_heating_factory import DistrictHeatingFactory base_path = Path(__file__).parent dir_manager = DirectoryManager(base_path) @@ -61,7 +62,7 @@ UsageFactory('nrcan', city).enrich() WeatherFactory('epw', city).enrich() # EnergyPlus workflow -# energy_plus_workflow(city, energy_plus_output_path) +energy_plus_workflow(city, energy_plus_output_path) roads_file = road_processor(location[1], location[0], 0.001) @@ -69,5 +70,21 @@ dhn_creator = DistrictHeatingNetworkCreator(geojson_file_path, roads_file) network_graph = dhn_creator.run() -for node_id, attrs in network_graph.nodes(data=True): - print(f"Node {node_id} has attributes: {dict(attrs)}") +DistrictHeatingFactory( + city, + network_graph, + 60, + 40, + 0.8 +).enrich() + +DistrictHeatingFactory( + city, + network_graph, + 60, + 40, + 0.8 +).sizing() + +for u, v, attributes in network_graph.edges(data=True): + print(f"Edge between {u} and {v} with attributes: {attributes}") diff --git a/scripts/district_heating_network/district_heating_factory.py b/scripts/district_heating_network/district_heating_factory.py index 55a3785a..66e04234 100644 --- a/scripts/district_heating_network/district_heating_factory.py +++ b/scripts/district_heating_network/district_heating_factory.py @@ -1,14 +1,21 @@ import networkx as nx import logging +import CoolProp as CP +import math + class DistrictHeatingFactory: """ DistrictHeatingFactory class """ - def __init__(self, city, graph): + def __init__(self, city, graph, supply_temperature, return_temperature, simultaneity_factor): self._city = city self._network_graph = graph + self._supply_temperature = supply_temperature + self._return_temperature = return_temperature + self.simultaneity_factor = simultaneity_factor + self.fluid = "Water" def enrich(self): """ @@ -29,4 +36,48 @@ class DistrictHeatingFactory: building_found = True break if not building_found: - logging.error(msg=f"Building with name '{building_name}' not found in city.") \ No newline at end of file + logging.error(msg=f"Building with name '{building_name}' not found in city.") + + def sizing(self): + """ + Calculate the diameter of the pipes in the district heating network. + """ + for node in self._network_graph.nodes(data=True): + node_id, node_attrs = node + if node_attrs.get('type') == 'building': + heating_peak_load = node_attrs.get('heating_peak_load') # Adjusted key to match your data + print(heating_peak_load['year'][0]) + if heating_peak_load: + # Calculate peak mass flow rate + peak_mass_flow_rate = heating_peak_load['year'][0] / CP.PropsSI('C', + 'T', + ( + self._supply_temperature + + self._return_temperature + ) / 2, + 'P', + 101325, + self.fluid) + print(peak_mass_flow_rate) + # Calculate density of the fluid + density = CP.PropsSI('D', # 'D' for density + 'T', + ( + self._supply_temperature + + self._return_temperature + ) / 2, + 'P', + 101325, + self.fluid) + + # Set the design velocity (V) + velocity = 0.9 # m/s + + # Calculate the diameter (D) + D = math.sqrt((4 * peak_mass_flow_rate) / (density * velocity * math.pi)) # m + print(D) + # Find the edge connected to the building node + for neighbor in self._network_graph.neighbors(node_id): + if not self._network_graph.nodes[neighbor].get('type') == 'building': # Ensure it's a pipe connection + self._network_graph.edges[node_id, neighbor]['diameter'] = D + logging.info(f"Diameter for edge ({node_id}, {neighbor}) set to {D} meters.") diff --git a/work_in_progress.ipynb b/work_in_progress.ipynb index 0151fa6a..f7750790 100644 --- a/work_in_progress.ipynb +++ b/work_in_progress.ipynb @@ -6,8 +6,8 @@ "metadata": { "collapsed": true, "ExecuteTime": { - "end_time": "2024-07-31T21:38:47.230085Z", - "start_time": "2024-07-31T21:38:47.206748Z" + "end_time": "2024-08-01T12:43:35.084315Z", + "start_time": "2024-08-01T12:43:33.536769Z" } }, "source": [ @@ -39,13 +39,13 @@ "import numpy as np" ], "outputs": [], - "execution_count": 110 + "execution_count": 1 }, { "metadata": { "ExecuteTime": { - "end_time": "2024-07-31T21:38:47.861524Z", - "start_time": "2024-07-31T21:38:47.843529Z" + "end_time": "2024-08-01T12:43:42.116939Z", + "start_time": "2024-08-01T12:43:42.103972Z" } }, "cell_type": "code", @@ -68,13 +68,13 @@ ], "id": "7d895f0e4ec2b851", "outputs": [], - "execution_count": 111 + "execution_count": 2 }, { "metadata": { "ExecuteTime": { - "end_time": "2024-07-31T21:39:02.661096Z", - "start_time": "2024-07-31T21:38:48.727802Z" + "end_time": "2024-08-01T12:43:58.436398Z", + "start_time": "2024-08-01T12:43:45.041772Z" } }, "cell_type": "code", @@ -90,18 +90,18 @@ "WindowsPath('C:/Users/ab_reza/Majid/Concordia/Repositories/energy_system_modelling_workflow/input_files/output_buildings.geojson')" ] }, - "execution_count": 112, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], - "execution_count": 112 + "execution_count": 3 }, { "metadata": { "ExecuteTime": { - "end_time": "2024-07-31T21:39:02.992446Z", - "start_time": "2024-07-31T21:39:02.663422Z" + "end_time": "2024-08-01T12:44:33.071702Z", + "start_time": "2024-08-01T12:44:32.746218Z" } }, "cell_type": "code", @@ -115,26 +115,26 @@ ], "id": "c03ae7cae09d4b21", "outputs": [], - "execution_count": 113 + "execution_count": 5 }, { "metadata": { "ExecuteTime": { - "end_time": "2024-07-31T21:39:03.340164Z", - "start_time": "2024-07-31T21:39:02.993466Z" + "end_time": "2024-08-01T12:44:34.428791Z", + "start_time": "2024-08-01T12:44:34.009166Z" } }, "cell_type": "code", "source": "ConstructionFactory('nrcan', city).enrich()", "id": "c7d73638802e40d9", "outputs": [], - "execution_count": 114 + "execution_count": 6 }, { "metadata": { "ExecuteTime": { - "end_time": "2024-07-31T21:39:04.079698Z", - "start_time": "2024-07-31T21:39:03.342163Z" + "end_time": "2024-08-01T12:44:36.477528Z", + "start_time": "2024-08-01T12:44:35.383721Z" } }, "cell_type": "code", @@ -150,26 +150,26 @@ ] } ], - "execution_count": 115 + "execution_count": 7 }, { "metadata": { "ExecuteTime": { - "end_time": "2024-07-31T21:39:04.648022Z", - "start_time": "2024-07-31T21:39:04.081700Z" + "end_time": "2024-08-01T12:44:39.782550Z", + "start_time": "2024-08-01T12:44:39.174614Z" } }, "cell_type": "code", "source": "WeatherFactory('epw', city).enrich()", "id": "f66c01cb42c33b64", "outputs": [], - "execution_count": 116 + "execution_count": 8 }, { "metadata": { "ExecuteTime": { - "end_time": "2024-07-31T21:40:39.688386Z", - "start_time": "2024-07-31T21:39:04.650024Z" + "end_time": "2024-08-01T12:46:23.835862Z", + "start_time": "2024-08-01T12:44:40.404507Z" } }, "cell_type": "code", @@ -183,18 +183,18 @@ "exporting:\n", " idf exported...\n", "\r\n", - "C:/EnergyPlusV23-2-0\\energyplus.exe --weather C:\\Users\\ab_reza\\Majid\\Concordia\\Repositories\\energy_system_modelling_workflow\\hub\\data\\weather\\epw\\CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw --output-directory C:\\Users\\ab_reza\\Majid\\Concordia\\Repositories\\energy_system_modelling_workflow\\out_files\\energy_plus_outputs --idd C:\\Users\\ab_reza\\Majid\\Concordia\\Repositories\\energy_system_modelling_workflow\\hub\\exports\\building_energy\\idf_files\\Energy+.idd --expandobjects --readvars --output-prefix Laval_ C:\\Users\\ab_reza\\Majid\\Concordia\\Repositories\\energy_system_modelling_workflow\\out_files\\energy_plus_outputs\\Laval_602570.idf\r\n", + "C:/EnergyPlusV23-2-0\\energyplus.exe --weather C:\\Users\\ab_reza\\Majid\\Concordia\\Repositories\\energy_system_modelling_workflow\\hub\\data\\weather\\epw\\CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw --output-directory C:\\Users\\ab_reza\\Majid\\Concordia\\Repositories\\energy_system_modelling_workflow\\out_files\\energy_plus_outputs --idd C:\\Users\\ab_reza\\Majid\\Concordia\\Repositories\\energy_system_modelling_workflow\\hub\\exports\\building_energy\\idf_files\\Energy+.idd --expandobjects --readvars --output-prefix Laval_ C:\\Users\\ab_reza\\Majid\\Concordia\\Repositories\\energy_system_modelling_workflow\\out_files\\energy_plus_outputs\\Laval_2285fe.idf\r\n", "\n" ] } ], - "execution_count": 117 + "execution_count": 9 }, { "metadata": { "ExecuteTime": { - "end_time": "2024-07-31T21:53:14.440222Z", - "start_time": "2024-07-31T21:53:10.290860Z" + "end_time": "2024-08-01T12:46:39.090697Z", + "start_time": "2024-08-01T12:46:34.525200Z" } }, "cell_type": "code", @@ -211,32 +211,20 @@ "network_graph = dhn_creator.run()" ], "id": "8403846b0831b51d", - "outputs": [ - { - "ename": "AttributeError", - "evalue": "'Graph' object has no attribute 'building_names'", - "output_type": "error", - "traceback": [ - "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m", - "\u001B[1;31mAttributeError\u001B[0m Traceback (most recent call last)", - "Cell \u001B[1;32mIn[121], line 11\u001B[0m\n\u001B[0;32m 8\u001B[0m dhn_creator \u001B[38;5;241m=\u001B[39m DistrictHeatingNetworkCreator(geojson_file_path, roads_file)\n\u001B[0;32m 10\u001B[0m network_graph \u001B[38;5;241m=\u001B[39m dhn_creator\u001B[38;5;241m.\u001B[39mrun()\n\u001B[1;32m---> 11\u001B[0m \u001B[43mnetwork_graph\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mbuilding_names\u001B[49m\n", - "\u001B[1;31mAttributeError\u001B[0m: 'Graph' object has no attribute 'building_names'" - ] - } - ], - "execution_count": 121 + "outputs": [], + "execution_count": 10 }, { "metadata": { "ExecuteTime": { - "end_time": "2024-07-31T21:43:05.521839Z", - "start_time": "2024-07-31T21:43:05.503748Z" + "end_time": "2024-08-01T12:46:42.598664Z", + "start_time": "2024-08-01T12:46:42.585722Z" } }, "cell_type": "code", "source": [ "for node_id, attrs in network_graph.nodes(data=True):\n", - " print(f\"Node {node_id} has attributes: {list(attrs.keys())}\")" + " print(f\"Node {node_id} has attributes: {dict(attrs)}\")" ], "id": "9c4c32ed4a5b5434", "outputs": [ @@ -244,161 +232,149 @@ "name": "stdout", "output_type": "stream", "text": [ - "Node (-73.70263014634182, 45.52966550204674) has attributes: []\n", - "Node (-73.70252245592799, 45.52959782722166) has attributes: []\n", - "Node (-73.70277983402246, 45.52975956880018) has attributes: []\n", - "Node (-73.70292834674622, 45.52985289718704) has 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"execution_count": 11 }, { "metadata": { "ExecuteTime": { - "end_time": "2024-07-31T21:29:21.717811Z", - "start_time": "2024-07-31T21:29:21.697811Z" + "end_time": "2024-08-01T12:47:28.367869Z", + "start_time": "2024-08-01T12:47:28.352828Z" } }, "cell_type": "code", "source": [ "from scripts.district_heating_network.district_heating_factory import DistrictHeatingFactory\n", "\n", - "DistrictHeatingFactory(city=city, graph=network_graph)" + "DistrictHeatingFactory(city=city, graph=network_graph).enrich()" ], "id": "25e14bd5433e3d95", - "outputs": [ - { - "ename": "TypeError", - "evalue": "__init__() got an unexpected keyword argument 'graph'", - "output_type": "error", - "traceback": [ - "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m", - "\u001B[1;31mTypeError\u001B[0m Traceback (most recent call last)", - "Cell \u001B[1;32mIn[94], line 3\u001B[0m\n\u001B[0;32m 1\u001B[0m \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01mscripts\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mdistrict_heating_network\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mdistrict_heating_factory\u001B[39;00m \u001B[38;5;28;01mimport\u001B[39;00m DistrictHeatingFactory\n\u001B[1;32m----> 3\u001B[0m \u001B[43mDistrictHeatingFactory\u001B[49m\u001B[43m(\u001B[49m\u001B[43mcity\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mcity\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mgraph\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mnetwork_graph\u001B[49m\u001B[43m)\u001B[49m\n", - "\u001B[1;31mTypeError\u001B[0m: __init__() got an unexpected keyword argument 'graph'" - ] - } - ], - "execution_count": 94 + "outputs": [], + "execution_count": 13 }, { "metadata": { "ExecuteTime": { - "end_time": "2024-07-31T21:18:46.818842Z", - "start_time": "2024-07-31T21:18:46.799573Z" + "end_time": "2024-08-01T12:47:33.445388Z", + "start_time": "2024-08-01T12:47:33.425843Z" } }, 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'_external_temperature', '_ground_temperature', '_global_horizontal', '_diffuse', '_direct_normal', '_sensors', '_neighbours', '_beam', '_city', '_households', '_basement_heated', '_attic_heated', '_terrains', '_year_of_construction', '_function', '_average_storey_height', '_storeys_above_ground', '_floor_area', '_roof_type', '_internal_zones', '_thermal_zones_from_internal_zones', '_shell', '_aliases', '_cold_water_temperature', '_heating_demand', '_cooling_demand', '_lighting_electrical_demand', '_appliances_electrical_demand', '_domestic_hot_water_heat_demand', '_heating_consumption', '_cooling_consumption', '_domestic_hot_water_consumption', '_distribution_systems_electrical_consumption', '_onsite_electrical_production', '_eave_height', '_energy_systems', '_systems_archetype_name', '_grounds', '_roofs', '_walls', '_internal_walls', '_ground_walls', '_attic_floors', '_interior_slabs', '_domestic_hot_water_peak_load', '_fuel_consumption_breakdown', '_pv_generation']\n", + "Node (-73.70273955351598, 45.53092005042424) has attributes: ['type', 'name', '_name', '_level_of_detail', '_surfaces', '_type', '_city_object_lower_corner', '_city_object_upper_corner', '_detailed_polyhedron', '_simplified_polyhedron', '_min_x', '_min_y', '_min_z', '_max_x', '_max_y', '_max_z', '_centroid', '_volume', '_external_temperature', '_ground_temperature', '_global_horizontal', '_diffuse', '_direct_normal', '_sensors', '_neighbours', '_beam', '_city', '_households', '_basement_heated', '_attic_heated', '_terrains', '_year_of_construction', '_function', '_average_storey_height', '_storeys_above_ground', '_floor_area', '_roof_type', '_internal_zones', '_thermal_zones_from_internal_zones', '_shell', '_aliases', '_cold_water_temperature', '_heating_demand', '_cooling_demand', '_lighting_electrical_demand', '_appliances_electrical_demand', '_domestic_hot_water_heat_demand', '_heating_consumption', '_cooling_consumption', '_domestic_hot_water_consumption', '_distribution_systems_electrical_consumption', '_onsite_electrical_production', '_eave_height', '_energy_systems', '_systems_archetype_name', '_grounds', '_roofs', '_walls', '_internal_walls', '_ground_walls', '_attic_floors', '_interior_slabs', '_domestic_hot_water_peak_load', '_fuel_consumption_breakdown', '_pv_generation']\n" ] } ], - "execution_count": 80 + "execution_count": 14 }, { "metadata": { "ExecuteTime": { - "end_time": "2024-07-31T20:23:57.446448Z", - "start_time": "2024-07-31T20:23:57.431469Z" + "end_time": "2024-08-01T13:46:14.045488Z", + "start_time": "2024-08-01T13:46:14.025941Z" } }, "cell_type": "code", "source": [ - "for building in city.buildings:\n", - " print(building.name)" + "for node in network_graph.nodes(data=True):\n", + " node_id, node_attrs = node\n", + " if node_attrs.get('name') == '65418':\n", + " building_demand = node_attrs.get('_heating_demand')\n", + " print(building_demand[\"hour\"][1])" ], - "id": "5b96a042e349e0eb", + "id": "f7c0742941b4f2d1", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "65418\n", - "70816\n", - "73478\n", - "82649\n", - "84906\n", - "87241\n", - "87719\n", - "88675\n", - "88747\n", - "89061\n", - "89062\n", - "89251\n", - "91214\n", - "92337\n", - "92399\n", - "92520\n", - "92979\n", - "93149\n", - "95265\n", - "95266\n", - "95465\n", - "95704\n", - "96241\n", - "96579\n", - "96580\n", - "96930\n", - "96931\n", - "96996\n", - "96997\n", - "97648\n", - "98087\n", - "98666\n", - "98667\n", - "102035\n", - "103043\n", - "103740\n", - "103795\n", - "107302\n", - "108296\n", - "108297\n", - "109211\n", - "109305\n", - "109773\n", - "110561\n", - "110873\n", - "113368\n", - "116927\n", - "118062\n", - "118250\n", - "119143\n", - "120435\n", - "124177\n", - "125538\n", - "128322\n", - "129429\n", - "130498\n" + "10687074.91690603\n" ] } ], - "execution_count": 75 + "execution_count": 24 }, { "metadata": { "ExecuteTime": { - "end_time": "2024-07-31T19:35:10.949715Z", - "start_time": "2024-07-31T19:35:09.846007Z" + "end_time": "2024-08-01T14:02:29.592771Z", + "start_time": "2024-08-01T14:02:29.549689Z" } }, "cell_type": "code", - "source": "", - "id": "2bb88967eb45bcec", + "source": [ + "import CoolProp.CoolProp as CP\n", + "\n", + "# Define the fluid\n", + "fluid = 'Water'\n", + "\n", + "# Define the state properties\n", + "temperature = 300 # Temperature in Kelvin\n", + "pressure = 101325 # Pressure in Pascals (1 atm)\n", + "\n", + "# Calculate specific heat capacity at constant pressure (Cp)\n", + "cp = CP.PropsSI('C', 'T', temperature, 'P', pressure, fluid)\n", + "\n", + "print(f\"The specific heat capacity of water at {temperature} K and {pressure} Pa is {cp} J/kg.K\")" + ], + "id": "954e9fbbfe3dbe87", "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "IOPub data rate exceeded.\n", - "The Jupyter server will temporarily stop sending output\n", - "to the client in order to avoid crashing it.\n", - "To change this limit, set the config variable\n", - "`--ServerApp.iopub_data_rate_limit`.\n", - "\n", - "Current values:\n", - "ServerApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n", - "ServerApp.rate_limit_window=3.0 (secs)\n", - "\n" + "The specific heat capacity of water at 300 K and 101325 Pa is 4180.6357765560715 J/kg.K\n" ] } ], - "execution_count": 52 + "execution_count": 25 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-08-01T14:56:07.612947Z", + "start_time": "2024-08-01T14:56:07.582195Z" + } + }, + "cell_type": "code", + "source": [ + "from scripts.district_heating_network.district_heating_factory import DistrictHeatingFactory\n", + "DistrictHeatingFactory(city=city, graph=network_graph, supply_temperature=60, return_temperature=40, simultaneity_factor=0.8).sizing()" + ], + "id": "84557dd2ba1070e0", + "outputs": [ + { + "ename": "TypeError", + "evalue": "__init__() got an unexpected keyword argument 'supply_temperature'", + "output_type": "error", + "traceback": [ + "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m", + "\u001B[1;31mTypeError\u001B[0m Traceback (most recent call last)", + "Cell \u001B[1;32mIn[27], line 2\u001B[0m\n\u001B[0;32m 1\u001B[0m \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01mscripts\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mdistrict_heating_network\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mdistrict_heating_factory\u001B[39;00m \u001B[38;5;28;01mimport\u001B[39;00m DistrictHeatingFactory\n\u001B[1;32m----> 2\u001B[0m \u001B[43mDistrictHeatingFactory\u001B[49m\u001B[43m(\u001B[49m\u001B[43mcity\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mcity\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mgraph\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mnetwork_graph\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43msupply_temperature\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;241;43m60\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mreturn_temperature\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;241;43m40\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43msimultaneity_factor\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;241;43m0.8\u001B[39;49m\u001B[43m)\u001B[49m\u001B[38;5;241m.\u001B[39msizing()\n", + "\u001B[1;31mTypeError\u001B[0m: __init__() got an unexpected keyword argument 'supply_temperature'" + ] + } + ], + "execution_count": 27 }, { "metadata": {}, @@ -648,7 +605,7 @@ "outputs": [], "execution_count": null, "source": "", - "id": "f7c0742941b4f2d1" + "id": "11ebedbf06ddfe38" } ], "metadata": {