NOBATEK/INEF4 centre helps renovate an old building

©NOBATEK/INEF4

The NOBATEK/INEF4 technological resources centre based at the Arkinova site in Anglet took part in a project to renovate a late 19th-century building in Bayonne. The centre’s expert council was able to improve the energy efficiency of the operation significantly, while the installation of sensors means the project can be monitored throughout its first year.

On 17 January, a 19th-century building in the historic centre of Bayonne was unveiled following substantial renovation. The work involved rehabilitating the communal areas by installing a lift and creating ten social-housing units. The project was supervised by the not-for-profit organisation SOLIHA Pays Basque, which drew on the expertise of the NOBATEK/INEF4 technological resource centre to optimise heating and lighting conditions for future residents, but also to monitor the energy performance of the renovation project in this protected area.

The NOBATEK/INEF4 centre specialises in sustainable development, rehabilitation and construction. It employs around 60 engineers, scientists, technicians and architects, half of whom are based at its headquarters in Anglet, on the Arkinova technology site. For the project to rehabilitate the Bayonne building, which dates from the late 19th century and bears traces of the Gallo-Roman old town, the NOBATEK/INEF4 centre teams began by conducting detailed diagnostic tests, principally via a series of readings taken on the site of temperature and airtightness, as well as infrared thermography.

A model of the overall situation was then produced and dynamic thermal and natural-light simulations were conducted. As a result, the NOBATEK/INEF4 experts proposed an optimised solution that achieves a 42% saving in energy efficiency. To ensure the project was environmentally sound, eco-friendly materials, such as wood fibre and lime-hemp composite, were used. The NOBATEK/INEF4 centre will continue to monitor the building’s performance throughout 2019. Measurements will be taken via energy-consumption sensors and the resulting information used to help the building occupants control their energy consumption and costs. It will also help NOBATEK/INEF4 fine-tune its predictive models.

 

To find out more, visit:

https://www.nobatek.inef4.com

https://www.habitatpaysbasque.com

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