modeling biomass pile management

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Modeling Biomass Piles for Pile Management Wasim Faizal, E.I.T., M.Eng

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Page 1: Modeling Biomass Pile Management

Modeling Biomass Piles for Pile Management

Wasim Faizal, E.I.T., M.Eng

Page 2: Modeling Biomass Pile Management

Team

Dr. Suzanne Wetzel,NRCan, Canadian Wood Fibre Center,[email protected]

Prof. Sally Krigstin, UofT, Department of [email protected]

Janet Damianopoulos, NRCan, Canadian Wood Fibre [email protected]

Wasim Faizal, NRCan, Canadian Wood Fibre [email protected]

Page 3: Modeling Biomass Pile Management

What is pile management?

Nobody Really Knows

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Why Do We Need It?

Build up of heat within a pileCan lead to localized fires

Want to understand how much CO2 a pile releases Want to know if better storage practices can

improve quality of feed

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Picture Reference: https://imgflip.com/memegenerator/Boardroom-Meeting-Suggestion

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Page 7: Modeling Biomass Pile Management

-30 C

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Current Practices

Turning the piles to dissipate heat at fixed periods Random temperature measurements Managing pile geometry Compost Piles: controlling oxygen levels

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Why does a pile heat up?

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Factors Influencing Heat build up

Biological - bacteria/living woody tissue Chemical - oxidation reactions Physical - evaporation / condensation of water

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Can we predict temperature rise within a pile?

Why? To understand when a new pile might get too hotTo know when to release heat

How?Requires knowledge of specific wood properties Requires mathematical models

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Application Heat and Mass Transfer concepts

Mass Build up = Mass Flow in – Mass Flow out +/- Reaction

Heat Build up = Heat Flow in – Heat Flow out +/- Reaction

Dispersion of mass through diffusion (Fick’s Law) Dispersion of heat through conduction (Fourier

Law of Heat Conduction)

Page 13: Modeling Biomass Pile Management

Reactor Analogy

Mass inMass out

Heat inHeat out

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Modeling Biological Growth

Biological growth = Bacteria in – Bacteria out + Rate of Growth -growth factor (sugars)

-bacterial concentrationEquation Reference: F. Ferrero et al. Journal of Loss Prevention in the Process Industries 22 (2009) 439-448

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Modeling Oxygen Consumption

Heat released per mole of oxygen consumed /6)(1-efficiency)

Equation Reference: F. Ferrero et al. Journal of Loss Prevention in the Process Industries 22 (2009) 439-448

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Modeling Oxygen Consumption (cont.)

Oxygen consumption is used to predict heat released by bacteria.

( ) - oxycalorific coefficient (heat released per

molecule of oxygen consumed)

Equation Reference: F. Ferrero et al. Journal of Loss Prevention in the Process Industries 22 (2009) 439-448

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Why use Oxygen consumption to estimate heat?

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Modeling Other Heat Sources

Model the decomposition of wood as a first order chemical reaction

Use the rate of decomposition with the enthalpy of decomposition to determine heat released

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Temperature Modeling

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Modeling

Impossible to solve analytically Multi-dimensional problem Use COMSOL or MATLAB to determine a

numerical solution set

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Current Results

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Model Improvement

Add growth limiting factors for bacteriaMoisture content Temperature limitsOxygen content

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Collaboration to Monitor Data

Data Expertise: NRCan UofT Equipment Expertise: Braingrid

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Monitoring Temperatures

Previous temperature monitoring failedTemperature loggers caught fire

Braingrid provides a wireless sensor monitoring tool Monitor and log data to a remote server Data is accessible from any location

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Sentroller

The Sentroller acts as a data hub. It is capable of capturing

information from any sensor Relays that information to a remote

location off-site

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Goals

Determine accuracy of the model (other data sets) Work being conducted at PAMI to prepare new

biomass piles Use model to determine best practices for various

biomass types Develop a CSA standard for managing a pile

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Summary

It is possible to model biomass conditions Currently working on improving and verifying the

model Enables us to determine practices to increase

efficiency and reduce cost

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Questions?