Place: Zürich 2013

Source code: https://github.com/renuo/battery-background

A visualization of the CO2 impact of one year of consumption for a real household against the money spent, organized by categories. Based on input-output analysis data and personal purchase information.

Hackers: Jorge Zapico, Åsa Svenfelt, Mattias Höjer

Place: Zürich 2013

Code: Not available yet due to privacy reasons

Visualization of the nuclear percentage in the energy mix in different Swiss communes, based on scraped data from Stromkennzeichning.ch. See Visualization

Hackers: David Halter and Marko Rohner

Place: Zürich 2013

Source code: https://github.com/davidhalter-archive/green-hackathon-2013

The judges say:

Company Carbon Deathmap hits two audiences: it’s provocative and could be used to apply pressure to industries, equally it helps bring visibility of risk to mainstream investors.

Description

The FTSE 100 group of companies are valued by the market based on expectations about their future earning potential. But the huge assets of fossil fuels owned and used by the companies pose a systemic risk their earning potential. Given that future emissions of carbon dioxide are highly constrained if we are to avoid climate change, companies sitting on large stocks of carbon are likely to see the value of these commodities reduce as they become increasingly difficult to use…

…so how does the current valuation of companies change if we take this into account?

Team

• Branden Faulls
• Will Usher
• Bojana Bajzelj
• Andrew Hill

The judges say:

We liked the addition of user-generated content in to data in this project, adding personal comfort data could extend to applications like FourSquare, and make environmental information less boring.

Description

Building energy efficiency statistics, with user satisfaction and mapping for visualisation.

Team

• Tia Kansara
• Garry Hill
• Adam Nieman

Description

Investigating the outlook for our standard of living.

We analyse trends of salary inflation vs energy cost increase and general inflation to demonstrate that our standard of living is set to decrease unless:-

• We personally have above inflation pay rises
• We reduce the amount we spend on energy/food/products

The details asked during our survey are personal and highlight a real problem in the mid to long term for all of us.

Our current economic system is untenable and we’ll need to make some huge changes in the coming decades.

Team

• Shavin Fonseka
• Adam Pritchard

Description

How much do your appliances cost you in energy over their lifetime?

Team

• …

The judges say:

We believe over 80% of the sustainability field currently use spreadsheets. As a process, this is broken, not scalable and inaccurate. AMEE in Excel Integrates spreadsheets with web-services, to create a behaviour change that could address this issue and bring more credibility to the market.

Links

https://github.com/mrdavidlaing/AMEEInExcel
https://github.com/cityindex/CIAPI.CS/tree/master/src/AMEE
Screencast

Description

AMEE In Excel is an Excel 2010 addin that tightly integrates AMEE data & calculations into Excel.

Team

• David Laing

The judges say:

We had only one word to describe this innovation: Awesome.

Links

MQTT Kindlet

Description

Making use of an energy-efficient, lightweight, portable, and highly “”glanceable”" device – the e-Ink Amazon Kindle – to connect to energy data delivered over the lightweight MQTT protocol.

The app requires the Kindle to be “jailbroken”, and uses data publically available from bmreports and the realtime carbon site powered by AMEE, via test.mosquitto.org

The idea is to generate dashboard images to use as screensavers on the Kindle when it is “sleeping”.

Team

• Alex Hutter
• Andy Piper

http://localista.org
https://github.com/ebner/localista

Description

Eating locally is one of the best ways we have to reduce our environmental impact, empower our local communities and create links with our neighbours.

Localista is a prototype web service for slow local food, to help build local communities of people that grow, sell, buy and swap food.

Team

• Hannes Ebner
• Jorge Zapico