Dataview: Result Graphs

dunland commented 2 years ago

derzeitiges Layout für Gesamt-Resultate, Vorschlag R&E:

Umsetzung (Beispielgraphen nach nur wenigen simulation steps) dataview_total_2022-08-15 16-12-49

akkumulierte Gesamtemissionen des Quartiers erzeugt stufenweise Steigerung der Emissionen.. das könnte im Workshop Fragen aufwerfen... Ist eine Regressionskurve nötig, oder lassen wir das bewusst so stehen?

kazux2 commented 2 years ago

individual dataview

dunland commented 2 years ago

export individual energy prices so that they can be plotted and drawn for each of the selected buildings https://github.com/quarree100/q100_abm/issues/82

dunland commented 2 years ago

current version of individual data view: individual_dataview_2022-08-26_DU

dunland commented 2 years ago

Accordingly, a json structure to transfer all the necessary data would look like this:

{
    "data_view_individual_data": {
        "buildings_groups": {
            "group_0": {
                "buildings": [
                    {
                        "address": "Rüsdorfer Straße 51",
                        "avg_spec_heat_consumption": 168.2295352941,
                        "avg_spec_power_consumption": 0.0,
                        "cluster_size": 34.0,
                        "CO2": 0.0137431325,
                        "connection_to_heat_grid": true,
                        "connection_to_heat_grid_prior": false,
                        "refurbished": false,
                        "refurbished_prior": false,
                        "environmental_engagement": true,
                        "environmental_engagement_prior": true,
                        "energy_source": "Gas",
                        "cell": ""
                    }
                ],
                "emissions_graph": "path/to/file1.png",
                "energy_cost_graph": "path/to/file2.png"
            },
            "group_1": {
                "buildings": [
                    {
                        "address": "Neue Heimat 20",
                        "avg_spec_heat_consumption": 168.2295352941,
                        "avg_spec_power_consumption": 0.0,
                        "cluster_size": 34.0,
                        "CO2": 0.0083857645,
                        "connection_to_heat_grid": false,
                        "connection_to_heat_grid_prior": false,
                        "refurbished": true,
                        "refurbished_prior": false,
                        "environmental_engagement": false,
                        "environmental_engagement_prior": false,
                        "energy_source": "Gas",
                        "cell": ""
                    },
                    {
                        "address": "Neue Heimat 6",
                        "avg_spec_heat_consumption": 355.3933733333,
                        "avg_spec_power_consumption": 0.0,
                        "cluster_size": 3.0,
                        "CO2": 0.009850668,
                        "connection_to_heat_grid": false,
                        "connection_to_heat_grid_prior": false,
                        "refurbished": true,
                        "refurbished_prior": false,
                        "environmental_engagement": true,
                        "environmental_engagement_prior": true,
                        "energy_source": "Gas",
                        "cell": ""
                    }
                ],
                "emissions_graph": "path/to/file1.png",
                "energy_cost_graph": "path/to/file2.png"
            },
            "group_2": [
                ""
            ],
            "group_3": {
                "buildings": [
                    {
                        "address": "Hamburger Straße 12",
                        "avg_spec_heat_consumption": 168.2295352941,
                        "avg_spec_power_consumption": 0.0,
                        "cluster_size": 34.0,
                        "CO2": 0.0091610135,
                        "connection_to_heat_grid": false,
                        "connection_to_heat_grid_prior": false,
                        "refurbished": false,
                        "refurbished_prior": false,
                        "environmental_engagement": true,
                        "environmental_engagement_prior": false,
                        "energy_source": "Gas",
                        "cell": ""
                    }
                ],
                "emissions_graph": "path/to/file1.png",
                "energy_cost_graph": "path/to/file2.png"
            }
        }
    }
}

where key	infoscreen representation
address	[Adresse]
emissions_graph	Graph: "Verlauf der CO2-Emissionen"
energy_cost_graph	Graph: "Verlauf der Energiekosten"
cluster_size	"errechnet aus [cluster_size] Gebäuden des gleichen Typs"
buildings[0].refurbished_prior	Sanierung → Bestandssituation
buildings[0].connection_to_heat_grid_prior	Anschluss Wärmenetz → Bestandssituation
buildings[0].environmental_engagement_prior	Umweltengagement → Bestandssituation
buildings[0].refurbished	Sanierung → Zukunftsentscheidung
buildings[0].connection_to_heat_grid	Anschluss Wärmenetz → Zukunftsentscheidung
buildings[0].environmental_engagement	Umweltengagement → Zukunftsentscheidung

lwinkeler commented 2 years ago

regarding the variable environmental_engagement

at this point it is a bool referring to model-variable change
if change = true the consumption of a household is reduced by the value of the variable change_factor (default: 0.1)
it would be possible to directly inluence change_factor of the respective household by specific values
[x] needs to be discussed and defined by @dunland & @lwinkeler

dunland commented 2 years ago

I made an important update of the json structure above! :arrow_up:

dunland commented 2 years ago

another update with a specific path for the emissions: (energy costs will follow after https://github.com/quarree100/q100_abm/issues/82)

{
    "data_view_individual_data": {
        "buildings_groups": {
            "group_0": {
                "buildings": [
                    {
                        "address": "Rüsdorfer Straße 51",
                        "avg_spec_heat_consumption": 234.7511213636,
                        "avg_spec_power_consumption": 34.5551254545,
                        "cluster_size": 22.0,
                        "emissions_graphs": "data/outputs/output_20220831_15-53-46/emissions/CO2_emissions_7.16.png",
                        "energy_prices_graphs": "data/outputs/output_20220831_15-53-46/energy_prices/energy_prices_7.16.png",
                        "CO2": 0.0137431325,
                        "connection_to_heat_grid": false,
                        "connection_to_heat_grid_prior": false,
                        "refurbished": false,
                        "refurbished_prior": false,
                        "environmental_engagement": false,
                        "environmental_engagement_prior": false,
                        "energy_source": "Gas",
                        "cell": ""
                    }
                ],
                "connections": 0
            },
            "group_1": [
                ""
            ],
            "group_2": [
                ""
            ],
            "group_3": [
                ""
            ]
        }
    }
}

Next, I will create a graph to display and place it in data/outputs/output_test

dunland commented 2 years ago

updated again with infoscreen-readable file paths

lwinkeler commented 2 years ago

secondary, yet useful feature:

[ ] show share of different energy_sources in neighborhood (gas, oil, q100); e.g. before/after simulation

dunland commented 2 years ago

current version of individual data view:

@kazux2 please include the "errechnet aus [X] Gebäuden ähnlichen Verbrauchs" in the individual data view and update it from buildings_groups.group_X.buildings[0].cluster_size:

{
    "buildings_groups": {
        "group_0": {
            "buildings": [
                {
                    "address": "R\u00fcsdorfer Stra\u00dfe 40",
                    "avg_spec_heat_consumption": 196.4097951852,
                    "avg_spec_power_consumption": 36.5880559259,
                    "cluster_size": 27,
                    "emissions_graphs": "",
                    "energy_prices_graphs": "",
                    "CO2": 0.0120015825,
                    "connection_to_heat_grid": false,
                    "connection_to_heat_grid_prior": false,
                    "refurbished": false,
                    "refurbished_prior": false,
                    "environmental_engagement": false,
                    "environmental_engagement_prior": false,
                    "energy_source": "Gas",
                    "cell": ""
                }
            ],
            "connections": 0
        },
        "group_1": [
            ""
        ],
        "group_2": [
            ""
        ],
        "group_3": [
            ""
        ]
    }
}

dunland commented 2 years ago

[x] do not display the template graphs...

kazux2 commented 2 years ago

Hi David, Now it shows "errechnet aus [X] Gebäuden ähnlichen Verbrauchs"

do not display the template graphs...

Do you mean the image that shows before the actual graph? I changed to show 'loading.png'

Please review the latest commit on workshop_prototype https://github.com/quarree100/qScope_infoscreen/commit/58e795076635efe5595affb107cd6d0d3199dec3

dunland commented 2 years ago

your commit is fine, thanks. (even though I changed back the currentUserMode to 'buildings_interaction' as default)

Do you mean the image that shows before the actual graph? I changed to show 'loading.png'

I think each quarter should only be displayed at all, if there is a building in the group. If the group is empty, just don't display anything at all!

dunland commented 2 years ago

I think pretty much everything here is done!

quarree100 / qScope_infoscreen

Dataview: Result Graphs #23