Intro


Today, fuel flexibility in energy plants is highly desirable but risky. Non-conventional, cheaper fuels might cause ash slagging, fouling and corrosion, which are open questions. Pilot testing is useful but costly and time consuming. Fortunately, BIOFACT is a new accurate, user-friendly and cost-effective tool to rapidly predict operational risks for bio-waste fuels in combustion.

 

Screen and quickly characterize fuels such as agricultural residues and bio-wastes
Go beyond elemental analyses: improve fuel awareness
 Highly visualize fuel data for any user group, from operators to the CEO, at any location
Sample specific prediction of ash related issues and identify countermeasures
 Deal with the high variability of inorganic contents in opportunity biomass fuels
Ensure high performance multi-fuels plants, allowing industrial valorization of bio-wastes

 

 

 

You are


 

 

 

 

 

Sample specific predictive Dashboard and Report


   Step 1.    Send us the fuel composition 

   Step 2.    Get your fuel specific study in 24h

Sample specific prediction of combustion operational risks and most suitable boiler technologies
 Engineering advice to mitigate ash risks, such as temperature profiles, additives dosage, etc.
We have studied 200+ biomass and waste samples. No fuel is ever the same: biomass ash composition depends on species, part of the plant, soil, fertilization, climate, harvesting, etc.!

 

 

 

 

   Examples (available upon request)

a. Comparing multiple samples of coffee grounds
b. Comparing multiple samples of an unconventional wood
c. Evaluating the use of mineral additives with an agro-residue
d. Evaluating the use of bed materials with a low quality wood
e. Defining specs limits for samples of SRF to limit corrosion risk
f. Evaluating a sample of thermally treated pellets
g. Screening co-firing, introducing a new fuel in a mixture
h. Studying different fractions of a set of RDFs
i. Calculating BA, FA, PM molten fraction, sticking probabilities, viscosity and compositions for a boiler design
j. Calculating release fractions and BA embedding of critical elements and heavy metals for a boiler design
k. Quantifying condensation species and flue gas corrosiveness in a boiler sections
l. Heat transfer computations for clean/heavy fouled tubes, steady state deposits, max steam T for design
m. Sensitivity analysis on ash risks for variable composition of an agro-pellet

 

 

 

Download now a BIOFACT Dashboard

 

 

 

About us


The tool is developed by an engineering team with proven sectoral biomass and waste energy expertise (6+ years in R&D initiated with a PhD in collaboration with the Université catholique de Louvain and the CEA), the commitment to clear communication and a broad peers network. The tool is exploited with independent consulting mandates.

 

 

 

They trust us


“Burning biomass, especially agro-biomass, offers a great potential, but it comes along with challenges such as slagging and corrosion. BIOFACT allows to anticipate the combustion behaviour of any biomass, giving precious information to any boilers operators and manufacturers”  •  Bioenergy Europe 

BIOFACT gives a double check on fuel properties for internal use, but graphical presentation also help to explain to customers in an easy and comprehensive way what are the risks of different fuels”  •  Vyncke

BIOFACT is a useful tool when evaluating a fuel change or investigating a particular fuel related problem e.g. corrosion, emissions, deposits, etc.”  •  Jansen Boilers

BIOFACT can help us to select or give ideas for the proper grate / combustion system without making real tests ” •  Akkaya Boilers 

BIOFACT is of great help for us in order to establish beforehand the characteristics of a fuel and therefore better prepare our systems ” •  Biomass Waste BaW Energy

 

 

 

Successful projects


 Ash chemistry prediction study for wood waste (2018)
 Ash chemistry prediction study for driftwood, raw Vs. rain leached (2018)
 Combustion feasibility study for baltic wood mixtures (2018)
 Factors impacting the biomass inorganic fraction: how predictive analytics can help for the fuels operational characterisation (2018)
Ash chemistry prediction study for different RDF samples (2018)
 Combustion feasibility study comparing mediterranean shrubs with pine pellets (2018)
Ash chemistry prediction study for lignin rich – biorefinery waste residues (2018)
Ash chemistry prediction study for sugarcane industry residues (2018)
Ash chemistry prediction for SRF char (2018)
Combustion feasibility study for river maintenance wood (2018)
Combustion feasibility study for palm plantations residues (2018)
Combustion feasibility study for flint corn (2018)
Ash chemistry prediction study for beer industry waste (2017)
Ash chemistry prediction study for high-P pellets (2017)
Ash chemistry prediction study for wine industry biomass residues, wood chips and pellets (2017)
Combustion feasibility study for spent coffee grounds (2017)
Combustion feasibility study for different samples of corn cobs and coffee grounds (2017)
Combustion feasibility study for olive residues (2017)
Torrefaction of biomass: does it reduce the risks of fuel ash slagging, fouling and corrosion in combustion? (2017)
Combustion feasibility study for king grass – sawdust blends (2017)
A thermochemical approach based on phase diagrams to characterize biomass ash and select the optimal thermal conversion technology (2017)
Combustion feasibility study for available non-conventional solid biomass fuels (2017)
Assessment of ash agglomeration and fouling in combustion by theoretical and experimental biomass fuels characterization (2017)
Ash characterization of four residual wood fuels in a 100 kWth circulating fluidized bed reactor including the use of kaolin and halloysite additives (2016)
Biomass combustion feasibility study for different fractions of RDF (2016)
Biomass gasification feasibility study for bamboo (2016)
Advanced characterization of available not conventional Mediterranean biomass solid fuels for ash related issues in thermal processes (2016)
Fouling propensity of high-phosphorus solid fuels: Predictive criteria and ash deposits characterisation of sunflower hulls with P/Ca additives in a drop tube furnace (2016)
A thermochemical approach based on phase diagrams to characterize biomass ash and select the optimal thermal conversion technology (2016)
Ash characterization of four residual wood fuels in a 100kWth circulating fluidized bed reactor including the use of kaolin and halloysite additives (2016)
Characterization of sunflower husks fouling in a Drop Tube Furnace: comparison of deposits with H3PO4, CaCO3 and Al2Si2O5(OH)4 additives (2016)
Development of a tool to predict biomass fuels agglomeration and slagging propensity in combustion applications (2015)

 

 

 

How can we help?


 

 

Email: defusco.biofact@gmail.com

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