Reducing Carbon Emissions In Concrete

Abstract

Concrete is the 2nd most used global material (after water), accounting for 8% of global carbon emissions.

Problem

The development of new low-carbon emission concrete requires novel materials in the mix (formulation). The objective is to achieve a significant reduction (>20%) without compromising performance (i.e. compressive strength, hydration time, durability, processability) and cost.

Process Problem

‍Long experimentation cycles - every cycle takes months. Furthermore, R&D teams need to collect the scattered data of the chemical composition of minerals and additives, develop and adjust concrete formulations, and collect experimental results multiple times across the experiment cycles.

Unusable Data

‍Chemical compositions of supplied materials are measured by XRF and delivered as CoA in PDF formats or even on paper. Formulations are managed by pen and paper notebooks. Sometimes this data is managed in Excel.

Data Consolidation (connect, ingest, structure & enhance)

Digitizing and organizing the chemical composition, formulations, properties, and performance parameters of the various components into a unified Materials Knowledge Center.

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Visual Analyzer

‍The Visual Analyzer multi-dimensional cross-correlation analysis allows a smart selection of a set of materials with the best formulation performance.

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Predictive Co-Pilot

The Predictive Co-Pilot recommends only formulations with a minimum required compressive strength (e.g. at day 90), while composed with low carbon footprint ingredients that meet the objective.

‍20% less carbon emissions with an 80% quicker process.