James A. Moore
Research Chemist, Arizona Instrument LLC
Research Chemist, Arizona Instrument LLC
Introduction
With the world’s population projected to eclipse 7 billion in 2011, and growing at approximately 1.2% per year, finding useable energy resources has become a global challenge. Diminishing supply and environmental concerns have been brought to light in recent years, exposing fossil fuels, currently the world’s primary source of energy, as unsustainable and potentially harmful to the environment. Because of this, clean renewable energy sources are controlling more of the available market, and biomass is one of the leading options on this front.
Biomass
is renewable energy derived from living organic material, or material that was
recently alive. Wood pellets, corn
husks, refuse, black liquor (a waste product of the paper making industry), and
alcohol fuels are common examples of materials that classified as biomass. These sources are more sustainable than
fossil fuels and, like fossil fuels, are typically incinerated for energy
production. Understanding and
controlling the moisture and ash content of biomass is important for optimizing
its efficiency as a fuel. Further,
incomplete combustion generates black carbon, which is a pollutant and major
contributor to global warming.
Traditionally biomass materials have been analyzed for moisture using a
conventional oven, and ash using a furnace.
These methods are reliable, but often have long test times, which hinder
the manufacturer’s ability to address problems that may arise during processing
and decrease the materials ability to act as a suitable energy
alternative.
A new method for moisture and ash analysis has been developed that enables accurate moisture
and ash testing. An instrument using
this method was able to provide real time results, and final water and ash
concentrations correlated to standard test methods currently used for multiple
materials in different industries. Test
times were significantly reduced which affords manufacturers the opportunity to
make changes in process quickly and maximize output.
Data
and Testing
Reference Testing
Reference testing details can be found at http://bit.ly/h5mKQ4.
Moisture and Ash Testing
Reference Testing
Reference testing details can be found at http://bit.ly/h5mKQ4.
Moisture and Ash Testing
Moisture and ash testing was conducted on an instrument using the linked testing option. This allowed for a moisture test to be conducted, then an ash test to be conducted without any user input or interface. Testing conditions were established prior to testing and in-situ monitoring was conducted. Waffle pans were preconditioned prior to testing to remove any film that was used to prevent adherence during stacking. The sample was evenly distributed on the sample pan for each test. Moisture and ash testing conditions are as follows:
Testing Conditions
|
Moisture Test
|
Ash Test
|
|
Idle Temperature
|
50°C
|
125°C
|
|
Test Temperature
|
125°C
|
600°C
|
|
Ending Criteria
|
0.5000%/minute
|
0.0500%/minute
|
|
Sample Size
|
7g +/- 1g
|
7g +/- 1g
|
|
Pan Tare
|
Standard
|
Standard
|
|
Sample Tare
|
5 seconds
|
5 seconds
|
|
Table 1. Testing parameters
The
testing conditions in table 1 represent the conditions for this specific
analysis. For different materials these
conditions would change to optimize results.
Also, since the ash testing begins immediately following the moisture
testing the idle temperature and tare parameters may not be used. For example, if the idle temperature for the
ash testing were set at 110°C the instrument would not cool down prior to
testing. Instead it would begin
measuring immediately at 125°C, which is the test temperature for the moisture
analysis. The sample mass used is
dependent on the user’s testing criteria.
Either the initial sample mass taken prior to the moisture test is used,
or the sample mass at the end of the moisture test is used if the moisture
content isn’t desired in determining the ash.
The pan tare is not required since the pan mass is removed at the
beginning of the moisture test and does not change.
Sample Storage and Preparation
Sample storage and preparation details can be found at http://bit.ly/himSUA.
Sample storage and preparation details can be found at http://bit.ly/himSUA.
Material
|
MAX® 5000XL
|
|
Reference
|
Wood Pellet
|
3 minutes
|
Test Time
|
16 hours
|
5.9757
|
% Moisture
|
5.4472
|
|
0.2283
|
S.D.
|
0.0331
|
|
Pecan Shell
|
5 minutes
|
Test Time
|
16 hours
|
12.5823
|
% Moisture
|
12.6090
|
|
0.2893
|
S.D.
|
-
|
|
Wood Chip
|
4 minutes
|
Test Time
|
16 hours
|
5.4632
|
% Moisture
|
5.435
|
|
0.2243
|
S.D.
|
-
|
|
Wood Pellet with Pecan
Bagger
|
4 minutes
|
Test Time
|
16 hours
|
6.1425
|
% Moisture
|
6.247
|
|
0.0922
|
S.D.
|
-
|
Table 2. Moisture results for biomass
materials
Material
|
MAX® 5000XL
|
|
Reference
|
Wood Pellet
|
25 minutes
|
Test Time
|
1 hour
|
1.3293
|
% Ash
|
1.397
|
|
0.1021
|
S.D.
|
0.1305
|
|
Pecan Shell
|
35 minutes
|
Test Time
|
2 hours
|
2.1294
|
% Ash
|
2.2734
|
|
0.2437
|
S.D.
|
0.0944
|
|
Wood Chip
|
40 minutes
|
Test Time
|
2 hours
|
0.5575
|
% Ash
|
0.5373
|
|
0.0463
|
S.D.
|
0.0582
|
|
Wood Pellet with Pecan
Bagger
|
30 minutes
|
Test Time
|
2 hours
|
3.7175
|
% Ash
|
4.5263
|
|
0.3465
|
S.D.
|
1.283
|
Table 3.
Ash results for biomass materials
Table
1 shows the mean results for moisture testing of four different biomass
materials. The data shows strong
correlation between the oven reference and the MAX® 5000XL and repeatability
using the MAX® 5000XL. There is a large
variation in test times between the two methods. Table 2 displays the ash results for the same
materials. Strong correlation and
repeatability was also produced between these testing methods, but there was a
large disparity in test times. Also, it
should be noted that the test times reported in table 2 under the heading
“reference” is only the time that the material is at the prescribed test
temperature. This does not account for
the time it takes for the furnace to reach the test temperature or the time it
takes for the crucibles to cool to room temperature. The test times shown under the heading “MAX®
5000XL” are averaged test times for each material taken from when the test
starts to when it ends.
Graph 1. Test graph for moisture analysis of
wood pellets
Graph 2.
Test graph for ash analysis of wood pellets.
The
test graphs (both 1 and 2) show real time test progress for moisture and ash
analysis using the Computrac® MAX® 5000XL.
Adjustments can be made to the test criteria based on the
characteristics of the graph. For
instance, the test graph for ash shows very little change in the ash content of
the material after 2400 seconds. From
this the ending criteria can be changed to optimize the test times if it is
desired.
Conclusion
Remaining competitive in a market is a challenge for businesses and must be addressed as the market changes. As fossil fuel supplies are depleted and in the wake of recent environment tragedies, the world’s energy suppliers will continue to search for safe, renewable and inexpensive sources in order to meet demand. This has provided an opportunity for nontraditional resources, such as biomass materials, to grab the increasingly available market shares.
Rapid loss-on-drying and ash content analyzers are essential instruments for companies producing biomass materials. Their implementation significantly reduces testing times associated with traditional testing methods, which allows companies to bring their products to market faster and increase their production. Additionally, these instruments save money by reducing energy costs, increasing employee output, and removing testing variables. These updated testing features will aide biomass material manufactures in maximizing their control of the available market.
Maximizing Power from Biomass Printable Version