SMART CITIES ENERGY MOBILITY AND LEARNINGS Lasse Steenbock
SMART CITIES – ENERGY, MOBILITY AND LEARNINGS Lasse Steenbock Vestergaard Smart Urban Designer Cutting-edge IT research and technology
THE ALEXANDRA INSTITUTE Smart City advisor Smart City platforms Open Data Mobility as a service EU projects 03 -09 -2021 Page 2
SMART CITY PARADIGM • Technology – – – Io. T deployments (sensing and actuation) Real-time reaction Patterns in data Optimize existing infrastructures Possibilities for innovation • People – Collaboration and synergies between city stakeholders – Empower citizens to take part in shaping their city (not just informants) 03 -09 -2021 Page 3
ENERGY 03 -09 -2021 Page 5
BUILDINGS • Buildings consume 40% of global energy • Air conditioning consumes 10% of global electricity • IT consumes 10% of global electricity – Increasing due to i. a. need for data centers • Energy renovations – Ventilation, isolation, cooling, LED etc. • Io. T deployments • Building management systems 03 -09 -2021 Page 6
INTELLIGENCE AND OPTIMIZATION • Environmental sensing – Noise, movement, CO 2 etc. • Smart metering – Heat, electricity, water • LED lighting – 90% more efficient than other lighting – longer lifespan • Space management – JIT adjusting light, temperature, projectors etc. • Data analytics – When, where and how to consume energy – Utilizing data on e. g. weather and electricity prices 03 -09 -2021 Page 7
ALTERNATIVE THINKING • Leveling peak production – Storing heat and electricity at the customer (in buildings and batteries) – Storing heat in bricks (DTU) • Sea water for cooling buildings (HOFOR) – Reducing up to 70% compared to individual air conditioning systems • Light as a service (Philips) – Making lightbulbs live as long as possible using as little energy as possible (outsourcing optimization) – The lower the cost the better the business model (for the vendor) 03 -09 -2021 Page 8
MOBILITY 03 -09 -2021 Page 11
STATUS QUO • One person per car • Congestion – 30% of inner city traffic is searching for parking • Pollution (noise, CO 2, NOx) • Rigid public transportation – No on-demand mobility – First/last mile problem • Rural areas suffer the most – Few people and long distances – Many elderly people 03 -09 -2021 Page 12
MOBILITY AS A SERVICE • Multimodal trip – Mixing public and private transportation • Smart ticketing (one-stop-shop) – Reasonable prices • Convenience (prevent two cars pr. household) • First/last mile problem handled (in the city) – Electric scooters (e. g. Voi) – On-demand bike rental 03 -09 -2021 Page 13
CARS ARE PARKED 95% OF THE TIME • Carsharing – Co-own a car – Invite others to join your trip (ridesharing) • Autonomous vehicles (infancy) – On-demand mobility (also in rural areas) – Connected cars (pushed by the industry itself) 03 -09 -2021 Page 14
WHAT CAN WE DO NOW? • • 5 G is disrupting connectivity as we speak Push car- and ridesharing Where is the bus and when will it arrive Interactive street signage – e-ink and Lo. Ra. WAN – Notify drivers in real-time • Bring services to customers – Bring the library bus to the rural areas – Autonomous drones as carriers 03 -09 -2021 Page 15
SMART CITY LEARNINGS • Practicalities kill Smart City projects – Wireless connectivity can be shaky • Half meter above ground it works at the ground it doesn’t – Many Io. T devices are still in their infancy • Parking sensors in asphalt (corrosion) – Suboptimal competences (in-house vs. consultants) • Standardization enhances interoperability and reduces vendor lock-in • Smart trash bins – By showing physical municipal presence, citizens feel that the city is being taken care of – Why and when to leverage Smart City technologies 03 -09 -2021 Page 16
POSSIBILITIES FOR THE ARCTIC • Smart City technologies not optimized for cold climates – Harsh city as a testbed • Think local – 70. 000 sheep roaming the Faroe Islands (sensor carriers) – Natural conditions and resources (wind, water, geysers etc. ) • Optimal conditions for data centers • Exporting renewable energy? – Leverage strong local communities for mobility and providing services • Monetary and appreciative incentives (e. g. shopping groceries) 03 -09 -2021 Page 17
THANKS lasse. vestergaard@alexandra. dk https: //dk. linkedin. com/in/lasse-vestergaard @lassesteenbock
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