“Advances in harvesting systems that reduce harvesting cost, carbon footprint, and conserve site resources for the next rotation” Dale Greene, Warnell School of Forestry and Natural Resources; University of Georgia
Similar to “Advances in harvesting systems that reduce harvesting cost, carbon footprint, and conserve site resources for the next rotation” Dale Greene, Warnell School of Forestry and Natural Resources; University of Georgia
Similar to “Advances in harvesting systems that reduce harvesting cost, carbon footprint, and conserve site resources for the next rotation” Dale Greene, Warnell School of Forestry and Natural Resources; University of Georgia (20)
“Advances in harvesting systems that reduce harvesting cost, carbon footprint, and conserve site resources for the next rotation” Dale Greene, Warnell School of Forestry and Natural Resources; University of Georgia
1. Harvesting System
Advancements
Dale Greene
University of Georgia
Southeastern Regional
Landowner & Manager Meeting
Valdosta, GA
October 29, 2014
7. Fuel – Natural Gas
About ½ the cost of diesel
on energy basis.
Electric utilities, trucking
firms, railroads, etc. are
switching to gas.
Log trucks fit this concept.
Prices can spike in winter
due to heating demands.
Enormous new domestic
supplies of this fuel.
9. Fuel – Natural Gas
US natural gas supplies are
at record levels due to
fracking in tight shale
formations.
Many shale gas plays are
just being developed.
Over-supply & low price of
gas is slowing development.
Killing biomass energy
opportunities.
10. Fuel Consumption
Fuel is ~20% of cut and load cost
Diesel range $1.50-$4.75 over past
decade
2012 GA/SC logger survey:
21% track fuel use by machine
21% track fuel use by crew
19% do no tracking at all
Benchmarks lacking for comparison
12. Objectives
long-term operational fuel consumption data
per operating hour
per ton produced
mechanized feller-buncher/grapple skidder
pine plantations (clearcut and thinning)
Southeastern coastal plain
13. Receiving Mill
Buys ~2 million tons annually of pine pulpwood
in southeastern Georgia coastal plain
Provided funding for the project
Provided a list of wood suppliers
Suggested 12-15 suppliers as candidates
Received periodic reports showing fuel
consumption statistics with no identities of
crews or statistics by crew
14. University of Georgia
Solicited the participation of each supplier
Provided forms, fuel meters, on-site training
Handled all data input and summary
Follow-up calls, email, site visits with suppliers
Periodic reports back to cooperators and
funding company
15. Logging Contractor
Agreed to record & share:
Fuel consumption by machine
Hour meter reading at fill-up
Weekly production for the crew
Installed and maintained fuel meters
Mailed data to us on their schedule – monthly
was most common
Received reports from UGA showing their fuel
usage compared to others in the study
Fuel meters are theirs to keep
16. Sample Size by Machine Type
Fellers Skidders Loaders
Tons 136,017 160,873 164,972
Hours 5,880 6,599 6,640
Gallons 38,877 41,156 26,923
We often received gallons and hours without
production reports.
Data received from 1Q2013 through 1Q2014.
Study ends 6/30/14.
18. Fuel Use per Ton
0.15
0.14
0.09
0.25
0.20
0.15
0.10
0.05
0.00
Feller-Buncher Skidder Loader
Gallons/Ton
CV = 37%
CV = 27%
CV = 31%
19. Fuel Usage Conclusions
Fuel consumption to cut/skid/load wood
averaged 0.38 gallons per ton.
These crews work flat (but often wet)
ground harvesting pine plantations with
a limited number of sorts.
These consumption rates likely set a
floor rather than an average baseline.
20. Timber – Recession Impacts
Lumber demand off by 40-50% at one point
Sawtimber prices down 35%
Landowners sitting on thinned sawtimber
stands waiting for higher prices…?
Pulpwood demand holding due to pulp and
wood pellet markets and shortage of lumber
chips
Age class distribution impacts and reduced
planting – where will future pulpwood be?
Less final harvest = less replanting
21. US South Total Annual Harvest
300
250
200
150
100
50
0
2006 2007 2008 2009 2010 2011 2012
Total Harvest
(Million Tons)
Pine Sawtimber Pine CNS Pine Pulp Hdwd Sawtimber Hdwd Pulp
Source: UGA Wood Demand Report, 2013
22. Timber – Biomass Potential?
Liquid Fuels
30% of US energy use
Still an infant technology
Wood Pellets
Technology here today
Driven by EU subsidies
Pulpwood not forest residues
Production up sharply
Electricity Generation
40% of US energy use
Technology here today
Natural gas has advantage
400,000,000
350,000,000
300,000,000
250,000,000
200,000,000
150,000,000
100,000,000
50,000,000
0
Demand: Bioenergy total Demand: Industry
Non-traditional materials Growth
Chart source: Forisk Consulting 2011, RISI 2013
23. Biomass
Piled residues through
grinders –ash content too
high for pellets (>5%)
Chipped tops/slash without
piling or WTC <2% ash
Residues rely on demand
for other primary products
Roundwood (pulpwood)
preferred due to control,
cost, low ash, etc.
27. Total Volume Produced
51%
39%
2011 Total Tons
10%
> 2500 Tons 1000 - 2500 Tons
< 1000 Tons
50% of
production by
20% of firms
Doubling of
larger firms in
last 10 years
Source: UGA Georgia Logger Survey, 2012
28. Production per Man-Hour
6
5.5
5
4.5
4
3.5
1992 1997 2002 2007 2012
Tons per Man-hour
Consistent
improvement in
production per
employee
No significant
changes in
technology
Source: UGA Georgia Logger Survey, 2012
33. Southern Cut & Load
Cost Components
35%
18%
14%
22%
1%
5%
5%
Labor
Depreciation
Repair and
Maintenance
Fuel
Interest Expense
Administrative
Insurance
Range: $9 - $15 per ton
34. UGA Logging Cost Index
Cut & load cost/ton
No hauling cost
Reported quarterly in
Timber Mart-South
Replaces the index
reported by Stuart
on an annual basis
Re-validation
underway in 2014
200
175
150
125
100
75
50
Stuart
UGA Cost
Index
35. The Future?
It is hard to make predictions, especially about
the future – Yogi Berra
We have problems, but very few that stronger
markets and higher prices would not solve.
Our logging contractors are becoming even
more efficient to survive.
Given access to capital, harvesting capacity
can rebound rather quickly.
Trucking can be made more efficient with
scales, scheduling, and de-linking from
logging.
36. Questions?
Thanks to Shawn Baker, Samantha
Marchman, Cory Dukes, Jason
Cutshall for their work shown here.
Editor's Notes
As revenue has lagged behind cost increases, loggers have begun deferring investment in their companies. Over the past five years, average ages of machinery held by companies have increased, which median age of trucks now ten years.
Can we add UGA to the beginning of that source – might need to reduce font, but most people are not familiar with the source.
Across the region, there has not been a widescale shift in the sizes of logging businesses. In 2000, businesses with less than 5 employees were 43% of the industry and in 2012, they remained 41%. We have had a fairly uniform contraction of the entire industry.
The reduction of employees was only slightly less than the reduction in total businesses. This agrees with the relatively minor shift in the sizes of businesses across the region. The timing of employment reductions were much less uniform, though, occurring in two major events. The pulp and paper contraction around 2000, and the recession from 2007-2009.
Companies producing 100+ loads per week weren’t a major component of the industry 25 years ago, but are now 20% of all logging businesses. Smaller companies producing less than 1000 tons per week are far less prevalent. These data are from 25 years of tracking Georgia logging businesses on a 5-year interval performed by UGA. This is the best long-term logging contractor demographic database in the US.
Good and bad of this – larger companies can respond more quickly when production surges are needed, they have the capital and staff to innovate in areas such as dispatched trucking, and they have economies of scale that make compliance with government and sustainability regulations more efficient. They are large enough to be business partners, not dependents. On the other hand, with more logging capacity concentrated in fewer businesses, they will bring more leverage to market negotiations than common with past industry structures which is threatening to many traditional forest industry players.
While employment was decreasing steadily, loggers were offsetting those lost jobs with higher productivity of their remaining employees.
Combining the labor data with our worker productivity data allows us to estimate logging capacity for the state. The red bars are combined tallies of total harvest levels. As a result of increased worker productivity, we estimate that through the recession we lost substantial capacity and are currently 10-12% lower than the estimated peak in 2006. The “excess” capacity has shrunk from 25% of the total harvest level to 19% (got as low as 16% in 2012).
Logging capacity declined across the South, but excess capacity has only declined in one region.