Minimizing emissions through advanced modeling
Companies within the water industry are increasingly focusing on innovative solutions to achieve net zero emissions.
Reducing Nitrous Oxide Emissions with advanced simulation
Nitrous oxide (N₂O) is a potent greenhouse gas, significantly contributing to climate change. To mitigate its emissions in wastewater treatment plants (WWTPs), advanced computational fluid dynamics (CFD) and biokinetic models are employed.
These models provide precise assessments of N₂O production by simulating various operational conditions and local dissolved oxygen concentrations.
By integrating these insights, companies can optimize their treatment processes and, enhancing enhance efficiency while minimizing greenhouse gas emissions.
Utilising the Precision of Computer Models
Theseadvanced technologies and methodologies are crucial for international companies in the waterindustry aiming to meet environmental regulations and achieve net zeroemissions while maintaining high efficiency in water purification processes.
Ozonationis a vital process for removing micropollutants such as pharmaceuticals andpesticides from water. However, it is energy-intensive and generates a high CO₂ emissionsfootprint. AM-TEAM has developed a novelengineering simulation model for ozonationand advanced oxidation (AMOZONE©).
This innovative approach not only enhances micropollutant removal but also reduces energy consumptionand CO₂ emissions significantly, making it a more sustainable solution forwastewater treatment plants.
Meet Pieter
Pieter is our go to colleague for solving all questions. As the solution lead at AM-Team, he is responsible for turning your challenge into a ready-made solution. Discuss your challenge with Pieter. He is happy to help you.
Related Projects
“It saves time, effort and cost overall. The time to set up a trial, run it and have meaningful data can take a lot of effort. By modelling the trial, we realized that none of the options would have worked for us and we needed to look at alternatives.”
Frequently asked questions
How do we work with AM-Team?
Working with AM-Team can take multiple forms, depending on your objectives and challenges. Our modelling services, support and strategic consulancy can take the form of projects or long-term service contracts. Our digital solutions such as digital twins take the form of software licensing and service agreements. With end users such as utilities or industry, we either work directly or in partnership / consortia with other companies.
How does AM-Team differentiate itself in the competitive market?
AM-Team's core uniqueness is the combination of international industry understanding, treatment process expertise and leading-edge modelling and digitalisation skills. Throughout the years we have evolved from a modelling company to a strategic digitalisation and implementation partner. We combine internationally recognised expertise in knowledge-driven (mechanistic) modelling with data-driven approaches (statistics, ML, ...). AM-Team has developed a library of globally unique and patented mechanistic models that target big challenges in the water and environmental industry. Our solutions have been implemented at over 150 facilities in 4 continents.
What is the key value you offer to your customers?
We offer value throughout the various stages of planning, design, operation and training and also provide strategic input to digitalisation roadmaps. Main value attributes (often combined in one case) are significant time and cost savings, improved process performance and efficiency, reduction of carbon footrpint, better, faster and future-proof decision making, improved communication and faster training.
Does AM-Team offer AI solutions?
Yes we do offer AI solutions, but fit for purpose. We try to not be blinded by the hype and look at sustainable value by matching the right tools to the right problems. This is what we like to call 'models fit for purpose'. AI is specifically interesting when the following criteria are being met: 1) an abundance of high-quality and high-frequency data, 2) systems that are hard to describe with knowledge-driven (mechanistic) models. Throughout the years we found out that knowledge-driven and data-driven models are highly complimentary, with a mutual compensation of weaknesses.
Accelerate today
Experience the power of advanced simulation. Contact us for a tailored solution.
