SciTransfer
VARIO · Project

AI-Powered Emission Monitoring and Cost Reduction System for Wastewater Treatment Plants

environmentPilotedTRL 7

Imagine a smart thermostat, but for water cleaning plants. Instead of just checking temperature, it uses a high-tech sensor to 'smell' harmful greenhouse gases in the air and water. It then uses an AI brain to automatically adjust the machinery to stop these gases from escaping and save electricity.

By the numbers
2%
EU emissions contributed by wastewater treatment plants
50%
Reduction of greenhouse gas emissions
20%
Savings in energy and chemical consumption costs
70%
Proportion of emissions made up by N2O and CH4
The business problem

What needed solving

Wastewater plants lack commercial tools to monitor and report N2O and CH4 emissions required by new EU laws. This leads to inefficient energy use and high greenhouse gas output.

The solution

What was built

A complete system consisting of multiplexing hardware, the EmiCo Lite analyzer, AI/digital twin software, and a cloud-based user platform.

Audience

Who needs this

Municipal wastewater treatment plant operatorsIndustrial chemical plant water managersEnvironmental compliance officersWater utility energy managers
Business applications

Who can put this to work

Municipal Water Management
enterprise
Target: City-owned wastewater treatment utility

If you are a city utility dealing with new EU reporting laws for direct emissions — this project developed an AI-based monitoring system that can reduce emissions by up to 50%. It helps you meet net-zero goals while cutting energy and chemical costs by 20%.

Industrial Water Treatment
mid-size
Target: Private industrial wastewater operator

If you are a private operator dealing with high operational overheads — this project developed a multiplexing analyzer that monitors multiple basins with one device. This reduces the need for expensive hardware while cutting chemical and energy consumption by 20%.

Environmental Consulting
SME
Target: Sustainability auditing firm

If you are a consultant dealing with clients who lack commercial tools to track N2O and CH4 — this project developed a cloud-based user platform and digital twin. It provides the high-quality data needed to prove a 50% reduction in greenhouse gas emissions.

Frequently asked

Quick answers

How does this system reduce operational costs?

The system uses AI models to adjust aeration parameters, leading to 20% cost savings for energy and chemical consumption.

Can this be scaled across a large plant with many basins?

Yes, the technology features multiplexing capabilities that allow one analyzer to monitor multiple aeration basins, which saves costs for operators.

Is the technology protected by intellectual property?

Based on available project data, the solution utilizes patented measurement technology.

How does this help with legal compliance?

New EU regulations require wastewater treatment plants to monitor and report direct emissions; VARIO provides the commercial solution for this reporting.

What is the timeline for deployment?

The project period is from 2023-04-01 to 2025-03-31, with the system now described as ready for market deployment.

Consortium

Who built it

The project is led by a single German SME, Variolytics GmbH, which holds a 100% industry ratio. This lean structure suggests a highly focused commercial drive, as the company is directly responsible for both the R&D and the eventual market deployment of the patented technology.

How to reach the team

Contact Variolytics GmbH regarding the EmiCo Lite analyzer and AI optimization models.

Next steps

Talk to the team behind this work.

Contact us to connect with Variolytics GmbH for a pilot installation.

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