The circular economy brings new innovation chances for entrepreneurs in different fields.

The ‘factory of the future’ is circular. Whether it is to reduce material costs, anticipate new legislation, respond to changing customer requirements or reduce their ecological footprint, companies will evolve towards more circular business models. The learning network Circular Economy Connect wants to help you with this and starts the second cycle.

The valorisation of metal swarf waste is an underestimated problem; that much became clear at the event ‘How to make money from swarf waste?’ on 14 September. A testimony from BMT Aerospace showed that there are some interesting options.

Many organisations recognise the need for the circular economy and what it might bring. The key question remains: how to progress towards this economy within your organisation? What steps can you take? What is the most relevant and priority action to undertake?

On Thursday 21 September 2017, BERA together with VLIZ, TWEED, and IBN Offshore Energy (in which OWI-Lab is involved), organises an industry-meets-science event that focusses on connecting Belgian wind industry with research institutes.

In the context of the VIS-OWOME project dynamic dashboards were developed to monitor and analyse different machine signals. This should make it easier to understand and anticipate machine condition and performance, and allow for the detection of certain phenomena.

Ready for a top job which combines your talent for technology and innovation with your adventurous nature? OWI-Lab is currently looking for an application engineer for new and current projects to improve operations & maintenance in offshore wind turbine farms.

Embracing the circular economy is a good idea. Understanding the basics of the circular economy is the key to making progress. It ensures you ask the right questions and offers a view of the entire picture.

A tendency is emerging of companies which reject our disposable lifestyle and are in favour of a more circular economy. Sirris fully supports this tendency with all kinds of supporting actions for the industry.

Research in the context of the VIS-OWOME project has demonstrated that very accurate power curves for offshore wind turbines can be created using machine-learning techniques. Good results can be achieved in very short terms and with limited efforts.