Smart Cities Demo Day

RESTO tool helps to assess the volume and effects of investments in the joint renovation of buildings in districts, and to find the best technical solutions based on the characteristics of specific buildings. Based on data from different public databases RESTO model analyses around 6,000 renovation possibilities for each building and suggests how the buildings in the given area should be renovated in such a way that it is possible to ensure the objectives of energy savings and emission reduction and optimal costs for the building owners, while not contradicting various building restrictions.

GreenTwins develops hybrid interfaces for interacting with the urban (green) digital twin (UDT) in a 3D environment. We offer the physical space concept (AvaLinn) & versatile digital tools (Virtual Green Planer, Urban Tempo). Apart from the tools, GreenTwins focuses on the part of UDT, which is related to urban green, data collection, analysis, modelling and visualisation.

DigiAudit enables a data-based and real-time overview of buildings' energy use and indoor climate parameters. Analyses and identification of possible performance problems are carried out automatically. Based on the data collected, DigiAudit calculates and visualizes the use of heat and electricity, Energy Performance Certificate, indoor climate class, carbon footprint, and comparison with similar buildings.

Modern cities are required to fill the gap between citizen requirements for renewable energy and power grid congestion problems. This poses novel multimodal problems that involves optimal land use and placement of public services, as well as public engagement and efficient use of existing infrastructure. Municipalities need to change their perspective towards their power systems. The FinEst Centre helps cities determine their urban electricity infrastructure strategy, with a particular focus on novel public service offerings, e.g. electric vehicle charging.

Mobility as a Service framework integrates together different mobility solutions like buses, ride-sharing, e-scooters, and last-mile self-driving shuttles in the future. Exchanging data between passengers, service providers, trip planners, and other functions enables on-demand basis mobility by keeping the service cost-effective for local governments and seamless and convenient for the citizens. Adding big data collected by new autonomous last-mile shuttles, local governments can automate existing services and develop new ones.

How to obtain more objective information for making better urban planning decisions, which takes into account the measured well-being of city residents? The Well-Being Score is an innovative concept that initially maps the spatial characteristics of the selected urban space and the psychological and physiological reaction of local residents in the chosen location. The Well-Being Score can be applied either in the process of compiling the general plan of a city – in order to measure in practice how people feel about themselves in specific locations in a single city – or when planning specific public spaces and measuring the well-being of people in those locations before and after development works.