Cemex increases investment in UK Asphalt Business

ongoing

Global building materials supplier Cemex is making strong progress with a significant investment programme into its UK asphalt operation. This includes the opening of a new plant in Birmingham, as well as developments at several locations to ensure a more efficient and more sustainable operation with smoother product delivery for customers. The new plant, located on Doris Road in Birmingham, will allow Cemex to better target this key urban market with its array of asphalt solutions. Products that will be produced on site include RUBBERMIX ASPHALT (RMA), which incorporates crumb rubber granules taken from used tyres into the mix, helping to offset the environmental impact of highway maintenance activity through the circular economy; and VIALOW, Cemex’s low temperature, reduced carbon asphalt which comes with the option to offset residual CO2 to make it a CarbonNeutral® product, in accordance with The CarbonNeutral Protocol, will also be produced at this new location. Further trials are underway on other more sustainable asphalt products that prioritise circularity. The new Birmingham site will operate as a Local Asphalt plant, providing a dedicated service for customers that require small tonnage collections and deliveries, stocking every day essentials such as tools and equipment needed to provide a first class service. Further investment has been made into the wider Cemex UK asphalt business, with the installation of multiple new bitumen tanks at Cemex’s Stourton, Preston and Dove Holes plants. These tanks have a higher capacity than those previously in place, which will enable an increased production speed, increased mix options, plus a more flexible supply. Additionally, the new tanks are more energy efficient, helping Cemex to run a more sustainable operation, in line with its dedicated climate action strategy, Future in Action. This is the latest stage of Cemex’s plan to replace all of the bitumen tanks at its UK asphalt locations with newer, more efficient models.