Only a very small proportion of the earth’s water is fresh water. Our constantly increasing consumption of this fresh water is therefore exhausting resources and inciting public authorities to give greater consideration to reducing the water footprint of regions and businesses.
Companies are therefore facing the technological challenges involved in measuring and lowering their water consumption and, in so doing, reducing their production costs. To obtain this virtuous circle, businesses must make the best choices in terms of production sites and processes, assess their supply chain’s water footprint as accurately as possible, and select the most suitable means of transport for their goods and services.
SUEZ helps you reduce your water footprint using its ISO 14046 compliant Waterlily® solution. Waterlily® enables you to assess your total water consumption (including that of your purchases), identify its footprint according to water sources and types of environmental impact, choose the best technology to reduce it and consider more water-efficient equipment and infrastructure.
Waterlily® uses characterisation methods developed by some of the most prominent scientists and groups of scientists in the field of water footprint assessment.
By using optimised lifecycle assessment, SUEZ can help you improve the eco-design of your infrastructure and equipment.
By enabling you to study different scenarios, the Waterlily® approach allows you to:
The Waterlily® method provides a single indicator that complies with the ISO 14046 standard for communicating reliably and precisely to your stakeholders on your commitments to reducing your water footprint.
Waterlily® was selected by the ISO TR 14073 Technical Report as an illustrative example of how to apply the ISO 14046 standard. The ISO 14046:2014 Environmental management -- Water footprint -- Principles, requirements and guidelines standard provides an international framework for water footprint assessment. It is based on Life Cycle Assessment (LCA) of water-related environmental impacts and takes into consideration the temporal and geographic specificities of each case.