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Fast On‑Site Characterization simplifies the operation of anaerobic digestion plants
Viva Technology 06/05/2026

Fast On‑Site Characterization simplifies the operation of anaerobic digestion plants

Presented this year on the ENGIE stand at Viva Technology, the Fast On‑Site Characterization solution perfectly illustrates the promise of “AI for real impact”: providing operators with the right information, at the right time, to optimize processes, secure production, and accelerate the roll‑out of renewable gases. Lina Maria Romero, who leads the project, answers our questions.

The Fast On‑Site Characterization project combines near‑infrared spectroscopy and statistical modeling to predict, within seconds, key parameters used to operate anaerobic digestion plants.

Lina Maria Romero
Project Lead
ENGIE

Fast On‑Site is a mobile, easy‑to‑use and immediately actionable solution that turns complex analysis into an accessible decision‑support tool for everyone.

Lina-Maria Romero

On an anaerobic digestion site, having fast access to reliable information on materials is essential to optimize performance. With Fast On‑Site Characterization, Lab Crigen—one of ENGIE R&I’s research centers—offers an innovative solution enabling the characterization of substrates and digestates in just a few seconds, directly in the field.

By combining near‑infrared spectroscopy and artificial intelligence, this mobile solution turns a complex analytical process into a simple decision‑support tool, enhancing operational performance and supporting the development of renewable gases.

Hello Lina Maria, can you briefly introduce yourself and your project?

I am an R&D Project Manager within ENGIE’s Biomass, Biogas and Waste laboratory at the Lab Crigen research center.

I work on the Fast On‑Site Characterization project, a solution developed by ENGIE to rapidly characterize, directly on site, the materials used in anaerobic digestion, such as substrates (input materials) and digestates (by‑products of the digestion process).

The solution combines near‑infrared spectroscopy and statistical modeling to predict, within seconds, key parameters used to operate anaerobic digestion plants. The results are accessible via a simple and intuitive mobile application, enabling operators to make immediate, informed decisions.


In one sentence, what problem are you trying to solve? How would you explain your project to someone unfamiliar with this topic?

Our goal is to drastically reduce the time and cost required to analyze materials for anaerobic digestion, while providing operators with reliable, real‑time information to operate their facilities.

The solution provides a portable tool that delivers essential data instantly, directly in the field, thud eliminating the need to send samples to laboratories and wait several days for results.

Who are your customers and who uses the solution?

Our solution targets all stakeholders facing material variability in anaerobic digestion, including:

  • operators and technicians at anaerobic digestion plants,
  • farmers,
  • developers and operators of renewable gas projects.

It is designed to be used directly by field teams, without the need for specific analytical expertise.

What benefits does your solution deliver?

Fast On‑Site Characterization provides:

  • a significant reduction in analysis time,
  • lower laboratory analysis costs,
  • and, above all, greater operational responsiveness.

By improving plant operation, the solution helps optimize biomethane production, directly contributing to the greening of gas networks and the reduction of associated emissions.

What will you present on the ENGIE stand at VivaTech? What key message do you want visitors to remember?

On the ENGIE stand, we will offer a live demonstration of the solution, showcasing the on‑site characterization of different materials using a portable spectrometer.

The key takeaway: Fast On‑Site is a mobile, easy‑to‑use and immediately actionable solution that turns complex analysis into an accessible decision‑support tool for everyone.

This year’s VivaTech theme is “AI: Impact, not illusion”. What role does AI already play in your solution, and how do you see it evolving in the future?

Today, artificial intelligence already plays a central role in the solution. Near‑infrared spectra are interpreted using machine‑learning models that learn the relationships between spectral signatures and the characteristics of organic materials.

In the medium term, integrating new AI tools into the application will allow operators to gradually enrich the database and automatically trigger the creation or updating of predictive models. This approach will enable continuous adaptation of models to real‑world use cases, while reducing manual recalibration efforts and improving prediction robustness.

What is your next major challenge in the short or medium term?

The main challenge is scaling up: making the solution increasingly robust in the face of material diversity, supporting its deployment across a large number of sites, and embedding it sustainably into operational practices.

If your innovation fully achieves its goal, what will have changed in five or ten years?

If Fast On‑Site Characterization fully delivers on its promise, it will have helped accelerate the development of green gases by making anaerobic digestion plants more flexible, responsive, and efficient.

The solution will facilitate the integration of new feedstocks and continuous process optimization, making anaerobic digestion an even stronger lever for the energy transition.


 Photos (c) Franck Dunouau, 2026

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