Effluent quality: the core business under transition
Smartly plan, design and operate for today's and tomorrow's demands
Model-supported decision making to meet changing effluent demands
Influent dynamics are changing while effluent requirements are getting even more stringent. Existing and new infrastructure needs to cope with these changes today and in the future while resource efficiency and minimal carbon footprint are key.
Our modelling services and digital twin solutions are used worldwide to navigate today's complexity of water and wastewater treatment and reuse, thereby balancing the '3Es' of Effluent, Efficiency and Emissions.
Who are our ideal customers in this space?
- Wastewater utilities that need to increase capacity and/or meet new effluent standards, e.g. in view of the new EU Urban Wastewater Treatment Directive or potable water reuse
- Drinking water companies that are treating or consider treating challenging source water
- Large industrial wastewater facilities in need for upgrades to meet new demands or requirements
How our modelling and digital twins can help
With our unique treatment process and plant models we conduct 'what-if' scenarios for optimal decision making in planning, design and operations.
Our models are also used as real-time digital twins to achieve next level plant intelligence and optimal effluent quality consistently.
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.
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