EUROSTIA: Human-Centric Artificial Intelligence for Building and Asset Management

About this project

<p><span style="font-size: 11pt"><span style="font-family: Calibri, sans-serif">Yodiwo S.A. is a company operating within the field of <span style="color: #000000">digital systems for Business Operation Management. They provide solutions based on an in-house developed groundbreaking IoT cloud platform.</span></span></span></p> <p><span style="font-size: 11pt"><span style="font-family: Calibri, sans-serif"><span style="color: #000000">Energy efficiency in buildings is becoming increasingly important, with relevant EU Directives (e.g. EU 2018/844) and efforts taken towards increasing energy savings for the existing building infrastructure are needed. </span></span></span></p> <p><span style="font-size: 11pt"><span style="font-family: Calibri, sans-serif">Yodiwo’s R&amp;D project EUROSTIA is a proposed solution to these challenges. The project comprises of the development of an ESG-aligned Integrated Management System (IWMS) that will combine IoT, Big Data and AI/ML to create the digital twin of facilities and organizations, and optimize their operation across several areas, including energy consumption but also equipment maintenance and the comfort of its occupants. The solution will lead to a reduction in energy consumption of any type of facility, reduction of equipment maintenance costs, while improving the environmental conditions (taking into account the comfort levels for temperature, humidity, CO2, noise and lighting).</span></span></p> <p><span style="font-size: 11pt"><span style="font-family: Calibri, sans-serif"><span style="color: #000000">12 new jobs and 1 new green industry innovation solution will be created through the project. Additionally, increased revenues and competitiveness of Yodiwo. </span></span></span></p>

Bilateral cooperation results

The partnership between Yodiwo and USN has proven to be extremely beneficial, and led to significant knowledge exchange between the two organisatons. In collaboration with Yodiwo, USN advanced their research on predictive models and data analysis, and engaged students in applied work through projects. USN leveraged its prior experience and expertise on energy estimation modeling and AI/ML applications. By working on the project and using real-life datasets from building operations as well as buildings outside of Norway, USN had the valuable opportunity to to apply its models on a large-scale dataset generated by actual buildings, and also to test them in a different climate than Norway. USN therefore verified the models’ effectiveness, evaluated, validated, adjusted, and further extended them based on the performance of the algorithms on the datasets. Before the project, these models had been based on parameters to estimate energy consumption in Norwegian buildings, but through the project, they were enhanced to also consider parameters such as space occupancy, the Coefficient of Performance (COP) of cooling systems (which is critical for buildings in Southern Europe) as well as production demand in cases of industrial applications. The partnership is likely to extend beyond project completion and, according to Yodiwo "This synergy serves as a model for how academia and the private sector can work together effectively to achieve common goals."

Project partners

• University College of Southeast Norway Donor project partner· Norway