Innovation Sostenibilidad

Repara 2.0: sustainability, noise-reducing paving and self-repairing roads

Repara 2.0 project

Sacyr Construcción is coordinating the Repara 2.0 project, which promotes R&D+i projects in the field of sustainable rehabilitation of paving and roads. This initiative was launched in 2015 to develop new technologies and methodologies to support infrastructure management and make it possible to restore and conserve any type of road at a lower economic and environmental cost.

Repara 2.0 “Development of new techniques and information systems for the sustainable REhabilitation of PAving for RoAds” was launched in the last quarter of 2015. The project has been coordinated by Sacyr Construcción, which is also the leader of work package 1. The latter researches new types of high performance mixtures, with recycled material rates of up to 100%. The areas of work include the development of noise-reducing mixtures, self-repairing mixtures and reflective mixes.

Other benchmark firms, such as Repsol, Acciona, CHM, Fractalia, Cemosa and Soliforest, are also participating and several universities and technological centres are collaborating. Furthermore, Repara 2.0 has financial backing from the CDTI (the Centre for Technological and Industrial Development), an organisation attached to the Spanish Ministry of the Economy and Competitiveness, as part of the CIEN (National Business Research Consortiums) call for proposals.

New technologies

The aim of the project is to develop new technologies and methodologies to support infrastructure management and make it possible to restore and conserve any type of road at a lower economic and environmental cost, and improve how roads adapt to climate change. For this purpose, new bituminous mixtures will be developed that are up to 100% recycled and more sustainable and resilient, and the way of managing to manufacture new noise-reducing paving will be studied.

Roads

In addition, a test strip will be created containing embedded sensors to enable constant monitoring of the variables that may affect the degradation of the road. In parallel, technologies will be developed for new autonomous and wireless sensors which can recharge without connecting to the grid and transmit in real time the current condition of the road, so as to know when to carry out preventive maintenance (which is far less costly than corrective maintenance).

To ensure that the new technologies developed under the project reach the market as soon as possible, specific software will also be created to enable the new paving of the future to be designed. Meanwhile, the data collected by the sensors will be processed at a remote information centre, applying Big Data techniques.

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