TotalWATER AI for Climate Action: Decarbonizing Water Resource Recovery Facilities
It is the decade of Climate Action and many water resource recovery facilities (WRRFs) already have to or have chosen to reduce GHG emissions. However, there has been no practical solution for nitrous oxide (N2O), which is produced from the biological wastewater treatment process. N2O can easily make up the majority of the WRRF GHG emissions given its extremely high global warming potential (300 times higher than CO2). Well, now there is the N2ORisk DSS. Developed by founder Jose Porro et al. at the University of Girona LEQUIA research group, the N2ORisk DSS incorporates AI to quickly diagnose the risk of producing N2O at WRRFs and identify strategies for N2O mitigation via simple control adjustments. Using the N2ORisk DSS, up to a 65% GHG reduction has been achieved in full-scale tests for essentially no investments. We have also developed the WRRF N2O risk roadmap to guide utilities through the mitigation process from start to finish. Learn more about the WRRF N2O Risk Model and Roadmap, and how they can help water utilities get the biggest bang for their buck in reducing GHGs here.
WhatWeDo
Current Landscape
The Paris Agreement and Climate Crisis are pushing water utilities across the globe to reduce their GHG emissions. Water utilities need a cost-effective plan to take Climate Action immediately.
Why do Current Solutions Fall Short?
Using renewable energy (biogas, wind, and solar), onsite or offsite, and energy efficiency measures are two of the most common methods to reduce GHGs. These can be used to offset N2O beyond energy neutrality. Purchasing carbon offsets has gained in popularity in recent years. However, all of these options are cost-intensive and do not actually reduce N2O, a potent GHG and a major ozone depleter.
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Current Landscape
The Paris Agreement and Climate Crisis are pushing water utilities across the globe to reduce their GHG emissions. Water utilities need a cost-effective plan to take Climate Action immediately.
Why do Current Solutions Fall Short?
Using renewable energy (biogas, wind, and solar), onsite or offsite, and energy efficiency measures are two of the most common methods to reduce GHGs. These can be used to offset N2O beyond energy neutrality. Purchasing carbon offsets has gained in popularity in recent years. However, all of these options are cost-intensive and do not actually reduce N2O, a potent GHG and a major ozone depleter.
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OurSolution
The N2ORisk DSS uses AI to combine expert knowledge on N2O and machine learning (ML) to quickly quantify emissions, optimize the treatment process, and eliminate N2O. By focusing on and actually reducing N2O, water utilities can more effectively reduce their carbon footprint (in some cases, it makes up to 80% of the facility’s carbon footprint). The N2ORisk DSS has improved the process by stabilizing DO and ammonia. The N2ORisk DSS is an efficient, effective and affordable solution for water utilities.
Our solution makes life easier and wastewater treatment smarter
Easy tracking/improving wastewater treatment efficiency, performance, and potential energy savings at the same time.
Gives operators AI insights on their process that they currently do not have.
With proprietary machine learning, can predict N2O emissions and significantly alleviate the burden and cost of direct measurements to know current emissions and reductions. No one else is doing this.
The N2ORisk DSS uses AI to combine expert knowledge on N2O and machine learning (ML) to quickly quantify emissions, optimize the treatment process, and eliminate N2O. By focusing on and actually reducing N2O, water utilities can more effectively reduce their carbon footprint (in some cases, it makes up to 80% of the facility’s carbon footprint). The N2ORisk DSS has improved the process by stabilizing DO and ammonia. The N2ORisk DSS is an efficient, effective and affordable solution for water utilities.
Our solution makes life easier and wastewater treatment smarter
Easy tracking/improving wastewater treatment efficiency, performance, and potential energy savings at the same time.
Gives operators AI insights on their process that they currently do not have.
With proprietary machine learning, can predict N2O emissions and significantly alleviate the burden and cost of direct measurements to know current emissions and reductions. No one else is doing this.
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N2ORisk DSS services:
- N2ORisk DSS subscription
- WRRF N2O risk assessment
- Measuring actual WRRF N2O emissions and developing site-specific emission factors
- N2O mitigation strategy development/testing
- AI and mathematical modeling of WRRF N2O emissions
- Long-term N2O mitigation and monitoring