66aa4c93f0b2adfe178ee88b Sludge Webinar Hero Image565x1300

Revenue from Sludge: AI's Ability to Unlock Value

Aug. 29, 2024
Unlock the power of AI in wastewater and discover how cutting-edge technology can maximize biogas yield, align energy production with market demand, and boost your bottom line. Join Sand Technologies to learn strategies for optimizing revenue and sustainability in sludge processing.
This webinar was originally held on August 29, 2024.
Now available for On Demand viewing!

Duration: 40 Minutes
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Summary

Tighter budgets and energy intensive processing techniques amplify the need to find innovative ways to enhance energy efficiency and optimize revenue generation. How can cutting-edge AI transform your water recycling operations, boost your bottom line, and lead your sustainable practices? 
 
Join this webinar with Sand Technologies to discover how AI can effectively navigate these strategic and operational constraints. The topics addressed will include: 

  • Integrating advanced AI to automate the maximization of biogas yield from sludge processing 
  • Aligning energy production with market demand 
  • Leveraging ML models to predict biogas yield and forecast electricity and gas prices 
  • Utilizing AI to dynamically adjust operational parameters for optimal revenue outcomes 
  • Understanding real-time data to enable continuous monitoring and adjustment of the anaerobic digestion process for peak performance and compliance 

This session will provide a framework for anyone interested in developing a comprehensive AI strategy to leverage across their utility business. Participants will also gain insights into how to harness AI for energy recovery and revenue at water-recycling sites. 
 
All registrants will receive an On Demand replay link following the webinar's conclusion.

 

Speakers

Jeevan Samuel 
Delivery Lead 
Sand Technologies
 
 
Jeevan is a technical delivery lead within Sand Technologies, focused on the development of the Strongford Digital Twin at Severn Trent Water. His previous experience includes a role as a Data/Machine Learning Engineer at Synthesis Software Technologies in Johannesburg developing data platforms for a South African citizen engagement application. He also held a role as an RF/Signal Processing Engineer at Protea Mechatronic Systems developing signal processing solutions for military radio applications and navigation solution engineer for avionic systems at Denel Dynamics. 
 
Jeevan holds a masters degree in Computer Engineering from the University of Pretoria and a masters in Data Analytics from the University of Central Florida. 

Mandy Crispin
Editor-in-Chief
WaterWorld

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