Decarbonisation Technology - November 2021

Innovative Design & Engineering Innovative Process Technologies Operational Improvement

• Electrification of manufacturing low to medium heat requirements • Vapour recovery units on large tanks to reduce fugitive emissions • Use of renewable energy (solar, wind power) - cleantech • Carbon capture utilisation and storage • Capture & permanent sequestering of CO 2 • Minimise waste streams/increase product recovery • Reduce leaks, emissions and flaring

• Redesign for waste heat recovery • Fuel changes - bio energy, green hydrogen, blue hydrogen • Waste plastics recycling and conversion technologies • High efficiency lighting • Internal recycling and waste reduction • Improve feed, water, energy utilisation efficiency) • Continuous monitoring and real-time optimisation

Table 1 Approaches to achieve sustainable operation

differentiator and a strategic business imperative that helps drive performance and top-line growth. Sustainable operation through efficiency initiatives, energy initiatives, water initiatives, and physical waste initiatives can lead to immense savings and can be achieved through the three approaches listed in Table 1. Digital leverage Sustainability and digital transformation are more than just industry buzzwords – they can be effectively implemented with cogent guidelines and seamlessly integrated into business operations achieving both goals together: sustainability and digital transformation. Effective use of digital solutions employs digital technologies to convert data to augmented intelligence (AI), which enables closer to real-time access to decision quality information. This greatly facilitates achievement of improvements in existing units for greater sustainability, whilst not losing sight of traditional business values. AI is a hybrid approach of using the best of available tools and technology to enhance human intelligence and allow creation of actionable intelligence. Digital twin and predictive models from advanced

Augmented intelligence benefits for manufacturing

analytics as part of digitalisation enable better identification of energy savings opportunities and productivity improvements, both of which impact carbon footprint and hence sustainability, and allow more innovative design changes. AI improves operational performance by providing: • Faster identification - More agile identification of process and/or equipment anomalies, leaks, etc. • Faster action - Lower losses of product and energy • Reduced gap between plan and actual production from faster identification and response cycles • Better and closer to real-time ESG data reporting against benchmarks

Hybrid models drive operational excellence