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SinaHKazemiSinaHKazemi
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mga added
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11 files changed

+570
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‎Project.toml‎

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@@ -15,6 +15,7 @@ JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
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JuMP = "4076af6c-e467-56ae-b986-b466b2749572"
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LoggingExtras = "e6f89c97-d47a-5376-807f-9c37f3926c36"
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PrettyPrinting = "54e16d92-306c-5ea0-a30b-337be88ac337"
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PrettyTables = "08abe8d2-0d0c-5749-adfa-8a2ac140af0d"
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Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
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SankeyMakie = "1323c716-dab9-4207-0457-9cc5295a221b"
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StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
@@ -33,6 +34,7 @@ JSON = "0.21.4"
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JuMP = "1.24.0"
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LoggingExtras = "1.2.0"
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PrettyPrinting = "0.4.2"
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PrettyTables = "3.1.2"
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Revise = "3.8.0"
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SankeyMakie = "0.1.1"
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StatsPlots = "0.15.7"

‎examples/House/config.json‎

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{
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"_comment1": "House Model",
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"_comment2": "The parser will ignore any key that starts with '_comment', such as this one.",
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"_comment3": "",
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"units": {
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"_comment": "Each entity must have 'input', 'output' and 'scale' keys.",
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"power":{"input": "kW", "scale": 1, "output": "kW"},
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"energy": {"input": "kWh", "scale": 1, "output": "kWh"},
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"co2_emissions": {"input": "kg", "scale": 1, "output": "kg"},
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"cost_energy": {"input": "EUR/kWh", "scale": 1, "output": "EUR/kWh"},
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"cost_power": {"input": "EUR/kW", "scale": 1, "output": "EUR/kW"},
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"co2_spec": {"input": "kg/kWh", "scale": 1, "output": "kg/kWh"},
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"money": {"input": "EUR", "scale": 1, "output": "EUR"}
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},
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"parameters": {
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"_comment1": "This dictionary contains the definition of parameters. The 'type' and 'sets' keys are mandatory in all parameter definitions.",
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"_comment2": "The value of the 'type' key must be an integer, float, boolean or string.",
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"_comment3": "A parameter can have either a 'value' or a 'default' key, but not both at the same time.",
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"_comment4": "The value of the 'sets' key could be [],['Y'],['C'],['P'],['P','Y'],['P','T']. Replace the surrounding quotes with double quotes.",
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"_comment5": "If 'sets' is equal to [] or ['Y'] then the 'value' must be defined here in the definition of the parameter.",
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"discount_rate": {
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"type": "Float",
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"sets": [],
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"value": 0.05
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},
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"dt": {
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"type": "Integer",
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"sets": [],
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"value": 1
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},
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"annual_co2_limit": {
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"type": "Float",
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"sets": ["Y"],
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"unit": "co2_emissions",
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"value": 0
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},
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"co2_price": {
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"type": "Float",
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"sets": ["Y"],
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"unit": "money",
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"value": 0
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},
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"is_storage": {
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"type": "Boolean",
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"sets": ["P"],
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"default": false
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},
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"charge_efficiency": {
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"type": "Float",
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"sets": ["P"],
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"default": 1
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},
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"c_rate": {
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"type": "Float",
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"sets": ["P"]
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},
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"max_legacy_capacity": {
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"type": "Float",
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"sets": ["P","Y"],
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"unit": "power",
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"default": 0
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},
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"min_legacy_capacity": {
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"type": "Float",
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"sets": ["P","Y"],
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"unit": "power"
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},
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"max_capacity": {
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"type": "Float",
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"sets": ["P","Y"],
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"unit": "power"
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},
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"min_capacity": {
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"type": "Float",
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"sets": ["P","Y"],
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"unit": "power"
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},
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"operational_cost_energy": {
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"type": "Float",
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"sets": ["P","Y"],
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"unit": "cost_energy",
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"default": 0
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},
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"operational_cost_power": {
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"type": "Float",
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"sets": ["P","Y"],
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"unit": "cost_power",
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"default": 0
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},
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"capital_cost_power": {
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"type": "Float",
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"sets": ["P","Y"],
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"unit": "cost_power",
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"default": 0
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},
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"min_fraction_in": {
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"type": "Float",
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"sets": ["P","Y"]
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},
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"min_fraction_out": {
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"type": "Float",
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"sets": ["P","Y"]
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},
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"max_fraction_in": {
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"type": "Float",
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"sets": ["P","Y"]
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},
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"max_fraction_out": {
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"type": "Float",
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"sets": ["P","Y"]
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},
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"max_energy_out": {
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"type": "Float",
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"sets": ["P","Y"],
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"unit": "energy"
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},
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"min_energy_out": {
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"type": "Float",
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"sets": ["P","Y"],
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"unit": "energy"
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},
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"availability_profile": {
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"type": "Float",
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"sets": ["P","T"],
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"normalized": false
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},
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"output_profile": {
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"type": "Float",
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"sets": ["P","T"],
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"normalized": true
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},
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"lifetime": {
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"type": "Integer",
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"sets": ["P"],
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"default": 100
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},
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"technical_availability": {
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"type": "Float",
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"sets": ["P"],
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"default": 1
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},
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"specific_co2": {
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"type": "Float",
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"sets": ["P"],
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"default": 0,
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"unit": "co2_spec"
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},
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"efficiency": {
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"type": "Float",
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"sets": ["P"],
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"default": 1
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},
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"carrier_color": {
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"_comment": "https://juliagraphics.github.io/Colors.jl/dev/namedcolors/",
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"type": "String",
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"sets": ["C"]
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},
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"carrier_order": {
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"_comment": "Order of plotting: The lowest order appears in the lowest position.",
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"type": "Integer",
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"sets": ["C"]
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},
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"process_color": {
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"_comment": "https://juliagraphics.github.io/Colors.jl/dev/namedcolors/",
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"type": "String",
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"sets": ["P"]
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},
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"process_order": {
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"_comment": "Order of plotting: The lowest order appears in the lowest position.",
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"type": "Integer",
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"sets": ["P"]
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},
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"tags": {
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"type": "StringArray",
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"sets": ["P"],
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"default": []
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}
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},
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"timesteps" : "./time_series/8_weeks_Manual.txt",
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"years" : [2015, 2020, 2025, 2030, 2035, 2040, 2045, 2050, 2055, 2060],
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"carriers": {
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"Dummy": {},
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"Vehicles_Propulsion": {
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"carrier_color": "tomato1"
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},
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"Electricity": {
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"carrier_color": "orange"
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}
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},
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"processes": {
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"Import_Electricity": {
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"carrier_in": "Dummy",
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"carrier_out": "Electricity",
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"operational_cost_energy": 0.50,
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"process_color": "lightcyan",
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"process_order": 1,
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"tags": ["import", "grid"]
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},
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"Demand_Electricity": {
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"carrier_in": "Electricity",
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"carrier_out": "Dummy",
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"min_energy_out": 2500,
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"output_profile": "./time_series/Electricity_Demand_Corrected.txt",
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"process_color": "magenta1",
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"process_order": 301,
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"tags": ["demand", "fixed"]
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},
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"PP_PV": {
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"carrier_in": "Dummy",
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"carrier_out": "Electricity",
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"lifetime": 20,
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"operational_cost_power": 15,
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"capital_cost_power": 1200,
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"availability_profile": "./time_series/PV_availability_rescaled.txt",
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"process_color": "darkgoldenrod1",
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"process_order": 406,
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"tags": ["renewable", "solar", "variable"]
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},
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"PP_Wind": {
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"carrier_in": "Dummy",
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"carrier_out": "Electricity",
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"lifetime": 25,
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"operational_cost_power": 20,
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"capital_cost_power": 3500,
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"availability_profile": "./time_series/Onshore_Wind_Availability_rescaled.txt",
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"process_color": "royalblue1",
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"process_order": 409,
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"tags": ["renewable", "wind", "variable"]
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},
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"Battery": {
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"_comment": "energy storage capacity of the battery is equal to the capacity of the conversion process(max power in and out) divided by c_rate",
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"carrier_in": "Electricity",
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"carrier_out": "Electricity",
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"lifetime": 15,
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"capital_cost_power": 2000,
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"is_storage": true,
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"c_rate": 0.3,
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"process_color": "green2",
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"process_order": 1001,
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"tags": ["storage", "electrical"]
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}
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}
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}

‎main.jl‎

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@@ -38,7 +38,11 @@ using JuMP
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include("./src/core/CESM.jl")
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using .CESM
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input = CESM.Parser.parse_input("./examples/House/House_PV_Wind_1_week.json");
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input = CESM.Parser.parse_input("./examples/House/config.json");
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for p in input.processes
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tags = CESM.Model.get_parameter(input, "tags", (p,))
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println("Process: $(p.name), Tags: $tags")
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end
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# input = CESM.Parser.parse_input("./examples/House/House.json");
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# input = CESM.Parser.parse_input("./examples/House_PV_Battery/config.json");
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# input = CESM.Parser.parse_input("./examples/Germany/GETM.json");

‎mga_house.jl‎

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# 1. Include the necessary modules
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include("./src/core/CESM.jl")
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include("./src/mga/MGA.jl")
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using PrettyTables
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# 2. Exploration Parameters
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config_path = "./examples/House/config.json"
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output_dir = "results/mga_house"
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epsilon = 0.05
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println("--- Starting MGA Min/Max Exploration ---")
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println("Model: House")
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println("Slack (epsilon): $(epsilon * 100)%")
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println("Output Directory: $output_dir")
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# 3. Parse the House input
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input = CESM.Parser.parse_input(config_path)
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# 4. Run the Min/Max method
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# This function handles: solve optimal -> add slack constraint -> min/max all objectives
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MGA.run_min_max_mga(input; epsilon=epsilon, output_dir=output_dir)
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println("--- MGA Exploration Complete ---")
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println("\n--- Analyzing Results ---")
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results_summary = MGA.analyze_mga_results(input, output_dir)
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# 6. Print a summary table using PrettyTables
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case_names = sort(collect(keys(results_summary)))
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metric_names = sort(collect(keys(MGA.MGA_OBJECTIVE_DEFS)))
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# Construct data matrix: rows are cases, columns are metrics
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data = [round(results_summary[c][m], digits=2) for c in case_names, m in metric_names]
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# Print the table
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# We use column_labels as seen in your documentation example
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pretty_table(
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data;
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column_labels = metric_names,
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row_labels = case_names,
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alignment = :c,
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hlines = :all,
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crop = :none
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)
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println("\nYou can find the .jls results in the '$output_dir' folder.")

‎src/core/parser.jl‎

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"Integer" => Int,
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"Boolean" => Bool,
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"String" => String,
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"StringArray" => Vector{String}
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)
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‎src/mga/MGA.jl‎

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module MGA
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include("core.jl")
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include("functions.jl")
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include("min_max.jl")
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include("analysis.jl")
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using .MGACore
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using .MGAFunctions
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using .MinMaxMGA
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using .MGAAnalysis
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export solve_optimal, add_slack_constraint
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export MGA_OBJECTIVE_DEFS
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export run_min_max_mga, analyze_mga_results
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end

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