SAS Hackaton: Notilyze and HAI focus on CO2 reduction for industries
Notilyze and HAI team up to create CO2 reduction solutions for industries
The hack is on!
Can smart software solutions help operators at production lines to reduce CO2 emissions?
”Yes, they can”, said Colin Nugteren (data science expert) and Rob Kooijmans (food industry expert).
They partner with HAI in its quest to provide industries with smart software solutions to deliver easy operator tools that have direct impact. Impact on tackling industry challenges like utility consumptions, product quality, production efficiency, wastewater treatment and emissions.
SAS Hackaton challenge
For the 2022 #SASHackaton, they decided to focus on reduction of CO2 emissions for a distillation process. For those of you who are not familiar with SAS Hackaton: The worldwide @SAS Hackaton focusses on tackling some of the most challenging (business) issues facing the world today. Using SAS® Analytics, AI and open source on Microsoft Azure, brilliant minds from around the world come with innovative solutions that can be practically applied. Mid-April, a panel of judges will select teams from every track with the most impressive business case. In previous SAS Hackaton editions, the Notilyze team won the first (2020) and top three (2021) jury prizes, so the team has to live up to high expectations again this year.
Advanced Process Control model
Back to the distillation process, which is the subject of our challenge this year. Distillation processes in particular are energy-intensive in its nature. Therefore, there is much to be gained when there is a better understanding of how operating conditions affect energy consumption. To this end, the team is now analyzing real-live process data from a Dutch factory, which is part of a multinational company. The data from this distillation unit mainly concerns temperatures and flows in relation to product quality, yield and energy consumption. The ultimate goal is develop an advanced process control model that will help operators to minimize energy consumption and still ensure product quality and yield.
Practical operator dashboard
An interesting detail is that the new model will be implemented in hai-app: a practical operator dashboard system with automatic visualization of real-time process and quality data, including manual data entry facilities for operator feedback.
The hai-app is a simple, yet powerful, software system to support real-time compliance monitoring of Production and Quality. It includes advanced process control (APC) features, as well as straightforward compliance monitoring and digital operator records (#digital factory).
We will keep you posted on progress of the team during the next few weeks.
Get inspired
Interested in more best practices of smart use of factory data?
Get inspired by the successes of others when it comes to real-time monitoring of quality and production data, OEE, positive release, golden batch, CIP-cleaning, operator support, factory data analytics, in-line measurements, factory dashboards…
and much more.
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