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Helsinki’s 2030 Climate Technologies – City Performance Tool data set

Helsinki is on course to meet its target to reduce its greenhouse gas emissions by 30 percent by 2020 having already achieved 25 percent reductions since 1990. The city is now preparing to meet its next important target of carbon neutrality by 2050 relying predominantly on the supply of cleaner electricity and heating in the future.

As a way of modelling the city’s progress towards this long term goal, Helsinki’s 2030 Climate Technologies – City Performance Tool -report looks to 2030 as an observation year to identify the most cost effective technologies that can be driven by the municipality. The study concerns CO2-emissions, air pollutants, employment and cost efficiency of the measures that were selected by the city experts.

In this study we modelled two scenarios for Helsinki’s emission development in 2015-2030: the Business As Usual1 (BAU) scenario and the City Performance Tool (CyPT) scenario, which features additional technologies that will bring greenhouse gas savings. The measures exclude actions related to centralized energy production, which are considered in the Helen development plan.

The results of the study are in open usage for all interests groups. The excel below includes the fundamental data set that was generated to calculate the current CO2 emissions and the future scenarios. The Excel consists of various sheets, contact information, general city data, energy data, transport data and building data. Research in English: http://www.stadinilmasto.fi/en

Data and Resources

Additional information

Groups
Geographical coverage
Source Siemens
Administrator Helsingin kaupunkiympäristön toimiala / Ympäristöpalvelut
Administrator's webpage http://www.stadinilmasto.fi
Published 17.05.2016
Licence Creative Commons Attribution 4.0
How to reference Source: Helsinki’s 2030 Climate Technologies – City Performance Tool data set. The maintainer of the dataset is Helsingin kaupunkiympäristön toimiala / Ympäristöpalvelut and the original author is Siemens. The dataset has been downloaded from Helsinki Region Infoshare service on 16.10.2019 under the license Creative Commons Attribution 4.0.

Licence

Creative Commons Attribution 4.0
CC-BY-4.0 [Open Data]

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