SUSTAINABILITY

Six European cities will use artificial intelligence to move towards carbon neutrality

January 23, 2020   |   Freiburg, Germany

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IMAGE: ICLEI European Secretariat

Helsinki, Amsterdam, Copenhagen, Paris Region, Stavanger and Tallinn will challenge companies to develop innovative solutions in the fields of energy and mobility.

 

AI4Cities is a three-year EU-funded project bringing together leading European cities looking for artificial intelligence (AI) solutions to reduce their greenhouse gas emissions and meet their climate commitments. Helsinki (Finland), Amsterdam (Netherlands), Copenhagen (Denmark), Paris Region (France), Stavanger (Norway) and Tallinn (Estonia) are the six European cities and regions involved in this project that has just kicked off.

 

 

 

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IMAGE: ICLEI European Secretariat

“Cities and regions have a lot to say and do when it comes to climate action. We are very well placed to support our national governments in achieving the climate goals. AI4Cities shows our leadership and our willingness to use the power of pre-commercial procurement to boost innovation, artificial intelligence and sustainability in Europe,” said Kaisa Sibelius, coordinator of the AI4Cities project and project manager at Forum Virium Helsinki.

 

AI4Cities is divided into five main phases: one preparatory phase (0), three standard PCP phases (1-3) and one final impact assessment and follow up phase (4). During the preparation phase (Phase 0), the procuring cities will organise a series of activities – roundtables, workshops, and matchmaking events, amongst others – aimed at ensuring that open market consultation is an ambitious co-creation exercise. The PCP process will consist of a solution design phase (Phase 1), a prototype phase (Phase 2) and a prototype testing phase (Phase 3). AI4Cities will reach the supply side, selecting and funding a minimum of 40 contractors (20 for the energy challenge and 20 for the mobility challenge) who, during Phase 1, will present their reports with a concept design, results of their feasibility studies and conclusions. Then, a minimum of 20 contractors (ten for each of the two challenges) will be invited to develop their prototypes in Phase 2. Finally, a minimum of six contractors (three and three) will make it into Phase 3 where a series of larger scale pilots will be undertaken.

 

 

 

IMAGE: ICLEI European Secretariat

To maximise the potential impact of the project, a group of cities will be recruited to follow the PCP process and support the uptake of the outcomes. ICLEI will be responsible for that, as well as for developing some procurement guidelines. The final stage (Phase 4) will focus on promoting PCP results for interested parties.

 

The participants of AI4Cities are six like-minded cities with strong experience in using ‘Smart Cities’ solutions, IoT and open data to address citizens’ needs, and ICLEI, a global network of cities pushing sustainable urban development forward.

 

“AI4Cities is a living example how sustainability and innovation go hand in hand, providing practical answers to the challenges ahead. Open-source solutions to drive climate change mitigation using the tangible tool of public procurement is timely and ICLEI welcomes the leadership taken by European cities. With ICLEI’s Procura+ Network, we stand ready to apply pre-commercial public procurement in the field of sustainable energy and transport,” said Philipp Tepper, Coordinator, Sustainable Economy and Procurement, ICLEI – Local Governments for Sustainability.

 

 

IMAGE: ICLEI European Secretariat

AI in the context of energy and mobility

 

With over 70% of EU citizens now living in urban areas, traffic congestion and inefficient transport systems still persist across the continent and account for 24% of GHG emissions in European cities. AI technologies have already proven they can help optimise traditional transport systems and processes to have a more positive (potential) impact on the environment.

 

Energy – crucial for cities’ infrastructure, heating, cooling, security and light – is the biggest polluting source, accounting for 58% of GHG emissions. In this context, AI technologies can be issued for storage needs, more efficient energy uses and the integration of renewable sources. Furthermore AI can help citizens to better understand how their energy consumption impacts their carbon footprint and give them tools that can facilitate the change.

 

Background information

 

 

 

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This project has received funding from the European Union's Horizon 2020 research and innovation

programme under grant agreement No. 821033.

 

The sole responsibility for any errors or omissions lies with the editor. The content does not necessarily

reflect the opinion of the European Commission. The European Commission is also not responsible for any use that may be made of the information contained herein.

 

 

 

 

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