LORA Infrastructures. Case Study on Parking monitoring and Management

This project aims to study the feasibility of managing the occupancy of parking zones on public areas using LoRA IoT technology. The objective of this case study is to analyse the feasibility of this technology (communications infrastructure, sensors, etc.) to monitor the occupancy time of parking zones with the purpose of a more flexible use in specific areas of the city. The Girona Smart City chair is supporting this study through the deployment of a LoRa node at the Montilivi Campus (UdG) that serves to study aspects such as network coverage, the sensitivity of parking sensors or the reliability of the overall system.

Efficient Facilities

This project of the Girona Smart City Chair has the objective to enhance the energy consumption in public buildings (such as: schools, library, civic centers, offices, etc.). The project reuses open data from the city of Girona about public buildings and the resources related to them in order to visualize energy behavior in an intuitive way that facilitates energy awareness and decision-making. The final application allows the comparative view of energy consumption in various public buildings and also the comparison of the average consumption of facilities of the same category. The objective is to make this information accessible to both: facility managers and citizens, in order to facilitate decision-making and foster awareness on the efficient energy consumption in public spaces and facilities.

E-LAND

E-LAND is an H2020 project whose main objective is to provide a synergistic solution between technological, societal and business challenges that the energy sector faces. The main concept is the E-LAND toolbox - a modular set of methodologies and ICT tools to optimize and control multi energy islands and isolated communities.

FEVER

FEVER will demonstrate and implement solutions that leverage the potential of flexibility in generation, consumption and storage of electricity for optimal management of power grids. Deploying artificial intelligence, distributed technologies and machine learning algorithms for modelling and forecasting energy demand and generation, FEVER empowers distribution system operators (DSOs) to better observe and manage the grids.

RESCHOOL

RESCHOOL aims to lever energy communities as formal way to aggregate active consumers and prosumers and empower them as relevant energy stakeholders. RESCHOOL aims to facilitate their interaction with the grid as flexibility providers and their participation in electricity markets. This will only be possible when enough citizens are engaged on these communities and enough flexibility can be aggregated. This requires efforts on training and engagement campaigns supported by effective results demonstrated in the real life. RESCHOOL will provide solutions to reinforce these engagement efforts based on co-creation/co-design participative strategies as well as tools designed to support energy and flexibility management and interaction of both based on collaborative and gamification strategies.

THERMO-X

This research project is focused on demand-side management (DSM) in form of flexibility of thermal loads. Shifting energy demand in time - has been considered one of the most cost-effective solutions for increasing renewable energy share in the energy systems. The main objective of the project is shedding light on the DSM potential of thermal loads in buildings and communities and transferring the technology to relevant partners in the market.

RESOLVD

This project aims to improve the efficiency and hosting capacity of electric distribution networks by introducing flexibility and control in the low voltage grid. RESOLVD proposes hardware and software technologies to improve low voltage grid monitoring with wide area monitoring capabilities and automatic fault detection as well as isolation. This will allow efficient grid operation and a maximised renewable hosting capacity.

CROWDSAVING

Crowd-sensing is an emerging technology that allows improving observability of large spaces and their interaction with users and activities by exploiting smartphone sensing capabilities and aggregating conveniently. Thus, the general objective of CROWDSAVING is to provide a software infrastructure levering to monitor impact of user behaviour on the dynamics of energy/water distribution networks and energy intensive facilities. Crowdsensing enables the observation of social behaviour at different aggregation levels and requires specific methods and adapt variability of data streams to existing energy monitoring solutions.