Pitch

 
06

Applying graph theory to clean energy districts

Flow optimisation across heat networks

People10 Posts30 Dribs19

Event finish

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Edited (version 29)

5 months ago ~ oleg

Sketching

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Edited (version 28)

5 months ago ~ jonathan_chambers

5 months ago ~ leiv_andresen

Research

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Edited (version 25)

5 months ago ~ jonathan_chambers
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Edited (version 24)

5 months ago ~ jonathan_chambers

5 months ago ~ tyler_anderson

Cost function so we can compare algorithms:

def calculate_total_kwh_m(mst_table): return (mst_table['routes']*abs(mst_table['heat_total'])).sum()

5 months ago ~ leiv_andresen
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Edited (version 18)

5 months ago ~ jonathan_chambers

Code: https://kdrive.infomaniak.com/app/share/745832/90ca4574-d096-4672-bf44-db07a58fb955/files/3934

5 months ago ~ leiv_andresen

Iterative optimization with random perturbation of one distance.Reduction in total cost sum(abs(heat_total)*routes):

5 months ago ~ leiv_andresen

Project

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Edited (version 15)

5 months ago ~ jonathan_chambers

Joined the team

5 months ago ~ sari_issa

requirements.txt content extracted by github copilot:

numpy pandas geopandas pickle-mixin sparse xarray scipy matplotlib contextily

5 months ago ~ leiv_andresen

Joined the team

5 months ago ~ lukas_ringlage
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Edited (version 13)

5 months ago ~ jonathan_chambers

Joined the team

5 months ago ~ leiv_andresen

Start

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Edited (version 12)

5 months ago ~ oleg
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Edited (version 9)

5 months ago ~ jonathan_chambers
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Edited (version 8)

5 months ago ~ jonathan_chambers

Joined the team

5 months ago ~ jonathan_chambers
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Edited (version 1)

5 months ago ~ gaston_energy
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Edited (version 6)

5 months ago ~ gaston_energy
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Edited (version 2)

5 months ago ~ gaston_energy

Challenge shared
Tap here to review.

5 months ago ~ gaston_energy
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