Researching
37

105: Netto- Null in den Quartieren?

Visualisierung des Ist-Zustands als beitrag zur Energiewende in den Quartieren der Satdt Luzern

⛶ Full screen

Initial situation:

The CO2-neutral neighbourhoods make a significant contribution to driving forward the energy turnaround. With the help of a change in energy supply and increased energy efficiency in buildings, primary energy consumption and greenhouse gas emissions can significantly be reduced. Buildings account for 24% of greenhouse gas emissions in Switzerland (Federal Statistical Office). Climate-neutral neighbourhoods pursue the approach of reducing the energy requirements of buildings as far as possible, optimising the systems engineering and covering the remaining energy requirements with renewable energies.

Idea:

To determine the current level of CO-2 emissions in the districts of the City of Lucerne, the data provided will be used to visualise which heating methods the buildings are using. The comparison of the CO2 emissions of the heating methods will also be integrated into the visualisation. This visualisation will then make it possible to see which buildings can heat with a more efficient heating method and thus significantly reduce greenhouse gas emissions. The long-term goal of the energy concept is to develop an energy-efficient neighbourhood that is managed independently of fossil fuels.

Target:

The aim of this challenge is to create a visualisation of CO2 emissions as a contribution to the energy turnaround in the districts of the city of Lucerne. It is important that the data is aggregated on the level oft the different city districts. In addition to the data provided, further data that can be accessed online can be integrated.

Hackdays:

Using the available data, the hackers visualised important information during the Hackdays regarding the heating methods used in the districts of the city of Lucerne. The four hackers used Python for data processing and visualisation. An interactive visualisation is available to the user. In future, this can also be supplemented with consumption information on the buildings. Due to data protection guidelines, the data and the visualisation may only be used and edited by authorised persons.

What have we found out?

The visualisation shows which quarters are heated in which way.

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Next steps:

By implementing the consumption information for the buildings, a visualisation can be created which shows which buildings emit how much CO2.

Participants:

Yarkin Götzmen, Alexandra Strohmeier, Rafael Morgenthaler, Sutki Hereqi

Contact:

yarkin.goecmen@stud.hslu.ch alexandra.strohmeier@stud.hslu.ch rafael.morgenthaler@stud.hslu.ch sutki.hereqi@stud.hslu.ch

Data source:

Hausbezogene Wärmeerzeugung BFS – GWR 2015, Zuordnungen der Hausbezogenen Daten zu den Quartiervereinen der Stadt Luzern

Partners:

  • Martin Scherrer, President Association of Neighbourhood Associations
  • Alex Willener, Lecturer HSLU
28.11.2020 18:00

Hackathon finished

28.11.2020 15:15

Documentation

Worked on by Sutki

28.11.2020 12:45

Team forming

AR8 has joined

28.11.2020 12:11

Documentation

Worked on by Sutki

28.11.2020 11:45

Team forming

rafael has joined

27.11.2020 22:45

Team forming

Sutki has joined

27.11.2020 09:00

Hackathon started

23.11.2020 19:08

Documentation

Worked on by andy_gubser

23.11.2020 19:08

Team forming

andy_gubser has joined

09.11.2020 12:05

Documentation

Worked on by AlexandraYanina

27.10.2020 06:35

Team forming

AlexandraYanina has joined

27.10.2020 06:35

Project started

Initialized by AlexandraYanina

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