Improving combustion and optimizing production with AI




Dear Visitor,


Our two Technology and Innovation companies, Floating Particle and Elemental Particle have merged and will continue operating under the name Floating Particle. Visit us at
– Future in Progress

Combustion and other thermochemical processes are the lifeblood of several industries



provides these Industries the technology required to make efficient and intelligent data-driven decisions in order to optimize and improve thermochemical processes.

The industrial combustion scenario

Whatever the ultimate clean energy source turns out to be, the fact remains that numerous industrial concerns still depend on fossil fuels for their industrial combustion processes. The relatively low cost, availability and high heating value of solid fossil fuels like Coal, RDF’s, Petroleum Coke, Biomass and others, make them the prime sources to satisfy our industry’s needs today.
The problem with these fuels is the inherent losses that result in the combustion process, primarily those resulting from incomplete combustion. The environmental demands and constraints associated with these fuels has imposed the need for highly complex management of the optimization process in their use, to maximize their efficiency and minimize the costs of operation, both from a financial as well as an environmental perspective

The BigData-driven operational management age
Over the last decade, the development of new low-cost and more accurate computerized sensors has intensified. Together with increasingly more reliable communication networks, and flexible cross-platform software to measure and analyze large datasets, these developments spawned new possibilities for an optimized and efficient management of thermochemical processes. Consequently, combustion dependent industries will need to reinvent themselves as data-driven companies.
ELEMENTALPARTICLE delivers the end-to-end technology to make that possible.
Our data-driven technology collects huge amounts of operational data from real-time sensors and production data, and can rapidly analyze all relevant context, combining multi-physical modeling and machine learning to empower engineers to quickly predict and obtain forecasts for any given thermochemical process, leading to high levels of process optimization
Ultimately, the ELEMENTALPARTICLE technology enables systems managers the exploitation of the best production scenarios and the identification of optimal operational conditions resulting in significant cost reductions.

©2019 ELEMENTALPARTICLE. All rights reserved

Headquarters: R. do Pombal 31 Cave C, 9050-075 Funchal







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