productivity and cost of mechanized energy wood harvesting in northern scotland
TRANSCRIPT
b i om a s s an d b i o e n e r g y 3 5 ( 2 0 1 1 ) 4 5 7 0e4 5 8 0
Avai lab le at www.sc iencedi rect .com
ht tp : / /www.e lsev ier . com/ loca te /b iombioe
Productivity and cost of mechanized energy wood harvestingin Northern Scotland
Dominik Roser*, Lauri Sikanen, Antti Asikainen, Heikki Parikka, Kari Vaatainen
Finnish Forest Research Institute, PO Box 68, FI 80101 Joensuu, Finland
a r t i c l e i n f o
Article history:
Received 9 May 2011
Accepted 14 June 2011
Available online 7 July 2011
Keywords:
Forest biomass
Scotland
Energy wood harvesting
Productivity
Supply chain design
* Corresponding author. Tel.: þ358 10 211 32E-mail address: [email protected] (D
0961-9534/$ e see front matter ª 2011 Elsevdoi:10.1016/j.biombioe.2011.06.028
a b s t r a c t
At present, the utilization of timber in the Northern part of the Scottish Highlands is low
due to a lack of a wood utilizing industry. As a consequence, the majority of forest owners
do not receive any income from timber and in some cases stumpage prices can even be
negative. At the same time, increasing prices of oil, gas and electricity pose a great chal-
lenge for local industries and homeowners. The establishment of wood fueled heating
systems is therefore expected to improve the situation and at the same time create
a market for the local timber resources. Consequently, a local energy source to produce
heat and electricity at a competitive price would have positive benefits for both local
industries and forest owners. Due to the current lack of competition, roundwood could be
chipped for fuel, which has many associated benefits compared to the harvesting and
chipping of logging residues. It is the aim of this research to apply existing Finnish know-
how in regards to wood fuel harvesting in order to develop and investigate the price level of
sustainable and local wood fuel supply chains.
To determine the most suitable supply chain for forest fuels, various research methods
were applied. An estimation of the forest resources in the Wick area was the first step of
the research. The different cost components of the supply chain such as cutting, for-
warding and chipping were then calculated based on Finnish experiences and adapted to
conditions in Northern Scotland. Detailed transportation distance calculations and cost of
transportation were calculated using GIS tools.
Of the various supply chain designs considered, chipping at the landing seems to be the
most suitable option. Chipping the roundwood at a central terminal would also be feasible;
however, a suitable site would have to be identified since chipping of the material at the
heating plant is not an option. Calculations indicate that forest chips can be delivered
starting from approximately 20 VMWh�1 within a 50 km transportation distance when
chipping is at roadside. If the transportation distance is 100 km wood chips could be
delivered at approximately 23 VMWh�1. Results from the GIS analysis indicate that
a sufficient supply of raw material will be available in the future. According to these
calculations forest fuels can be a competitive energy source for heat and electricity
production in Northern Scotland.
ª 2011 Elsevier Ltd. All rights reserved.
66.. Roser).
ier Ltd. All rights reserved.
b i om a s s a n d b i o e n e r g y 3 5 ( 2 0 1 1 ) 4 5 7 0e4 5 8 0 4571
1. Introduction and transportation) cannot be simply transferred from one
At present, international agreements and national strategies
emphasize the use of renewable energy resources in Europe. A
major share of that increase could be based onwood resources
[1]. One of the obstacles for an increased use of wood energy
sources is that expertise is dispersed and the development
requires the commitment of several stakeholders. Utilizing
local wood energy resources can helpmeet national strategies
and maximize rural development benefits to local communi-
ties. In addition, local users of wood fuel linked to local
resources could reduce transport costs and create the poten-
tial for affordable energy in areas affected by fuel poverty.
In the Northern parts of the Scottish Highland, active tree
planting programmes several decades ago have created
a rapidly growing forest resource. The main species are
Lodgepole pine (Pinus contorta) and Sitka spruce (Picea sitch-
ensis). Currently, a large share of those forests is in the
succession phase, and thinnings as well as final fellings are
needed to maintain forest health. In some places, mono-
culture lodgepole pine stands are planned to be clear cut in
order to establish newmixed species forests or for restoration
of the original peatlands. The standing volume of softwoods in
Scotland is estimated to increase from the current 6 hm3 to
9 hm3 by 2015 [2]. However, the technical and physical quali-
ties of timber are low and long transportation distances to
wood processing industries strain the economics. A signifi-
cant share of this resource is located in the Highlands, where
the industrial demand for wood is very limited.
The majority of forest owners do not receive any income
from timber and in some cases stumpage prices can be even
negative due to the long transportation distances. At the same
time, increasing prices of oil, gas and electricity pose a great
challenge for local industries and homeowners. The estab-
lishment of wood fuel based heating systems offers possibil-
ities to improve the situation. Increased energy use of timber
may create new local markets for the wood resources.
Another key issue constraining wood fuel market devel-
opment at themoment is confidence. Users lack confidence in
and knowledge about existing supply chains, but their devel-
opment will not proliferate until there is further evidence of
demand for wood fuels.
Contrary to Scotland, Finland already has large variation of
different wood fuel supply chains from small farm-scale to
large industrial combined heat and power plants. From the
early 1990s Finland has promoted the use of wood fuel via
several research and development programmes. In 2004,
2.7 hm3 of forest chips were used in power plants and small
farm-scale boilers whereas in 2000, only 0.9 hm3were used [3].
The successful setup of forest fuel supply chains calls for
the active participation of stakeholders from various back-
grounds and experiences. Finland, which has put lots of
efforts into the development of both large- and small-scale
forest fuel supply chains, has undergone rapid development
[4]. Through the course of that development many mistakes
have been made and lessons were learned. Today, other
regions and countries can benefit from those experiences and
mistakes that have already been made and can be avoided.
However, supply chains (system including logging, chipping
country to another, but they need to be tailored to fit to the
local circumstances and conditions. It is very important to
find out what the local technology is and what is being
currently used. It may be best to use systems that local prac-
titioners are already used to. As a result, technology has to be
chosen based on local conditions and availability of skilled
operators or entrepreneurs. As a result of technology transfer,
new systems and models are constantly being developed and
there is a mutual benefit for the involved stakeholders since
all of them are learning from each other.
Consequently, a local energy source, managed on a sustain-
able basis, to produce heat and electricity at a competitive
price would have positive benefits for both local industries and
forest owners. Due to the current lack of competition, round-
wood could be chipped for fuel, which has many associated
benefits compared to the harvesting and chipping of logging
residues.
Several small-scale wood fuel boilers have already been
installed across the Scottish Highlands. However, there is
a lack of experience when it comes to the supply of larger
installations in the range from 1 to 10 MW. Already existing
timber procurement chains and experienced workers should
be utilized as much as possible to ensure fuel supply.
Timber harvesting and wood procurement has developed
very fast over the last three decades in Nordic countries [5]. At
present, the harvestereforwarder systemhas proven to be the
most profitable and productive harvesting system for the cut-
to length method in Nordic conditions and the degree of
mechanization is close to 100% [6]. In the UK, the cut-to-length
system based on the harvester-forwarder system is also used
commonly and the overall mechanization is approximately
90% [1]. Woodfuels are creating a new market for wood. Thi-
s opens the possibility to utilize roundwood for energy
production.
Over the last decade, harvester and forwarder productivity
has been investigated in numerous studies inNordic countries
[7e12] and also in the UK [13,14].
There have also been various studies dealing with the
harvesting of small diameter trees timber [15e22] but further
research is needed to investigate applicability of harvesters
and energy wood harvesting systems in other countries with
different tree species, terrains and varying operational envi-
ronment. Additional information is needed to promote
a further expansion of the use of bioenergy in other European
countries as well.
The objective of this study was to estimate the feasibility
and cost level of selected supply chains for forest chips in the
Northern parts of the Scottish Highlands. Variations of the
supply chain, resulting from alternative location of chipping
were also compared.
2. Materials and methods
In this study the biomass harvested originated from clear cuts
and it was assumed that conventional purpose built single
grip harvesters and conventional forwarders would be used to
transport timber to the roadside. Once timber is at the
b i om a s s an d b i o e n e r g y 3 5 ( 2 0 1 1 ) 4 5 7 0e4 5 8 04572
roadside, three options for further processing of the material
are available. Timber can either be chipped at the roadside or
transported to a terminal where it is chipped and the wood
chips are then transported to the end user, or chipped at the
end use facility. The structure of the considered options is
presented in Fig. 1.
The most suitable harvesting and chipping method was
determined by evaluating four different aspects of forest
energy harvesting, namely:
- natural conditions;
- social considerations in relation to forest energy entrepre-
neurship and structure of supply;
- the limitations set by the combustion technology and their
effects on the harvesting chain; and
- finally the properties of the fuel itself (Fig. 1).
The different cost components of the supply chain such as
cutting, forwarding and chipping were calculated based on
experiences in Finland and modified for conditions in
Northern Scotland. Detailed transportation distance calcula-
tions and cost of transportation were calculated using GIS
tools such as ArcGis� and cost calculators.
All machines hourly cost calculations presented in this
study were based on new machines and equipment. The
productivity data used in this study is based on established
Finnish supply chains.
2.1. Long distance transportation
In this study, long distance transportation was assumed to be
truck based with a maximum payload of 27 t. The hourly
operating cost of the trucks in Scotlandwas calculated to be 90
Euros, based on [23,24]. Values used in the hourly cost calcu-
lations of a Scottish timber truck are presented in Table 1.
Loading and unloading times in the case of roundwood
transportation to the end use facility were assumed to be 0.62
and 0.58 h per load, respectively, based on Nurminen [25]. The
driving speed as a function of distance was also calculated
Organizing the supply
Harvesting and forwarding roundwood to roadside storage
Chipping at roadside
Transporting chips
Transporting roundwood
Comminution at terminal Transporting chips
End use facility
Comminution at end
use facility
Fig. 1 e Production stages of different supply chains.
according to Nurminen [25]. However, driving speed was
reduced by 25% since it was assumed that road conditions in
Scotland do not allow as fast a driving speed as in Finland. By
summarizing the results of loading, unloading, driving empty
and loaded, the total roundtrip time was calculated in 5 km
intervals from 1 to 195 km. In addition, delay times of 0.32 h
per load were added to account for breaks and other inter-
ruptions. The total roundtrip time was then multiplied with
the hourly operation cost of the truck and then divided by the
payload of the truck in order to receive the cost in Euros per
tonne.
In the case of roadside chipping, it was assumed that
a mobile chipper would chip directly into the load space of the
chip truck. The maximum volume of the chip truck was
calculated by converting the maximum payload of the truck
namely 27 t into solidm3 (33 m3) and then converting the solid
m3 into loosem3.Asa result themaximumamounta chip truck
could carry in Scottish conditions would be 82.5 m3 loose.
The same hourly cost of 90 Euros was used for the wood-
chips truck. However, the loading time at the roadside was
based on the productivity of the chipper (1.3 h per truck load).
Unloading was assumed to be 30 min and weighing of the
truck before and after unloading was assumed to be 3 min.
The driving speed as a function of distance was calculated
according to the driving speed functions of Ranta [26] and
Halonen and Vesisenaho [27]. Time for driving empty and
loaded was calculated by dividing the amount of kilometers
with the respective driving speed. The same reduction factor
of 0.75 as in long distance transportation was used to account
for the slower driving speeds. By adding the results of loading,
unloading, weighing, driving empty and loaded the total
roundtrip time was calculated in 5 km intervals from 1 to
195 km. In addition extra delay times of 10%were added to the
total time to account for problems associated when intro-
ducing a new type of technology.
When using a chipping terminal the extra unloading at the
terminal and loading of the chips into the chip truck has to be
considered. It was assumed that the chipper blows chips
directly into the wood chips van. The chipping/loading time
was assumed to be 1 h due to the higher efficiency of terminal
operations compared to roadside chipping. The functions for
driving speeds, loading, unloading and delays were the same
as for the alternative of chipping at roadside. The location of
the terminal was assumed to be 5 km from the heating plant.
2.2. Logging costs
Since it was assumed that roundwoodwould be used for wood
chips production, harvesting and forwarding costs or normal
roundwood harvesting were assumed. Harvesting costs per
tonne were based on Finnish work study data. An average
value of 12.2 V t�1 was used. Forwarding costs are based on
long-term average Finnish productivity data [28]. In this study
an average forwarding cost of 7.0 V t�1 was used. In total,
harvesting and forwarding costs amounted to 19.2 V t�1.
2.3. Chipping costs
It was assumed that the moisture content of raw material at
chipping after storage would be approximately 40% based on
Table 1 e Cost details of Scottish timber truck.
Max load 55 t Base truck, value 91,000 V
Pay load 27 t Equipments 10,000 V
Driving days 200 d year�1 Trailer 27,000 V
Loads per day 3 loads day�1 Crane 30,000 V
Time per load 3 h load�1 Wage of the driver 18 V h�1
Average transportation distance 60 km Indirect wage costs 60 %
Kilometers per year 64,800 km Wage costs total 51,322 V a�1
Lifetime of truck 6 a Depreciation 17,973 V a�1
Lifetime of trailer 8 a Interest 5 %
Lifetime of crane 8 a Insurances 5200 V a�1
Fuel consumption 45 L (100 km)�1 Transportation fees 4500 V a�1
Tire lifetime before first coating 140,000 km Overheads 4000 V a�1
Operating hours 1620 h load�1 Management 2918 V a�1
Fuel price 1 V l�1 Other uses 5000 km a�1
Lubricants 2354 V a�1 Fixed costs total 41,685 V a�1
Repair/service 13,455 V a�1 Risk 4 %
Tires coating cost 117 V coating�1 Total costs 145,870 V a�1
Variable costs total 47,023 V a�1 Cost per hour 90 V h�1
b i om a s s a n d b i o e n e r g y 3 5 ( 2 0 1 1 ) 4 5 7 0e4 5 8 0 4573
the results of the drying trials of Hillebrand and Nurmi [29]. A
separate cost calculationwas carried out to determine the cost
of chipping using a medium sized chipper. The chipping costs
varied slightly depending on the location of the chipper. In
these calculations, a similar chipper was used at roadside,
plant or terminal. However, it was assumed to work more
effectively (10%) at the terminal or plant due to more efficient
feeding of the chipper. The cost calculation was based on cost
calculators for energywood developed by Laitila [30]. The
values used to determine the cost of chipping at roadside are
presented in Table 2.
2.4. Overheads and VAT
Based on Finnish experiences overheads were estimated to
10% of the transportation, logging and chipping costs. VAT
was also added to the price of chips. The current level of VAT
in the UK for wood fuel is 5%.
2.5. GIS data analysis
2.5.1. Forest dataThe forest area data consisted of 715 individual stand
compartments. Some of the compartments covered the whole
forest area of a farm and in some cases compartments were
more accurately mapped stands. Despite the size of
a compartment in the calculations it was assumed that the
planting year is always the same for the whole compartment.
Altogether the forest area consisted of over 350 km2. The
mean size of a compartment or a forest in the calculationswas
about 50 ha.
As an attribute, all the compartments had the harvesting
period (5 years each) from a given plan that could be con-
nected only with the mean data that had been calculated for
each period. The actual planting dates were missing for
a remarkable part of the data.
The topology of the forest data was validated in using GIS
software so that overlapping wasn’t allowed. The data
contained some areas twice, probably a result of merging
several sources. In corrections, newer and more detailed data
were preferred before older and coarsely digitized. New areas
for all compartments were calculated. The corrections
decreased the total nominal forest area by 7 km2.
The procedure used in the calculations for all areas is that
all timber is calculated as energy wood. For a part of the area
(private sector) there was information about the locations of
the poorest stands of Lodgepole Pine, where quality is too low
to get logs for lumber. However, there was a lack of this
information the entire state owned forests so that the infor-
mation couldn’t be used in the first stage of the calculations.
2.5.2. Road dataA roads network theme layer Integrated Transport Network�from the Ordnance Survey was purchased for the project. In
addition to that forest tracks of the area of interest had been
digitized manually and a few new tracks from that data were
added to Ordnance Survey road data.
The Highland North Agreed Routes Map [31] was used as
a background map in GIS. The roads that were marked
“excluded road” were not used in the route optimization.
However, all private roads and roads marked “consultation
road” were allowed to use.
2.5.3. Forwarding distancesThe method used was as follows; the first calculation was
distances to the nearest road from all points evenly distrib-
uted over the whole forest area. Then, means of these
distances inside each compartment were calculated. These
direct mean distances were then multiplied by a winding
factor to get estimates of realistic forwarding distances for
each compartment.
A new point layer with 50 m distance between points was
created covering the whole area of interest. Points that lay
inside forest compartments were found using a spatial join
with a rule “points completely inside areas”, and were
exported into a new point layer. The centroid points of the
Table 2 e Cost calculation details for chipping at roadside.
Price/tractor/base machine 76,765 V Productivity
Price/chipper 145,000 V Small size wood (delimbed) 25 m3 h�1
Price/loader 40,000 V Pulpwood 35 m3 h�1
Lifetime/tractor 10 a Whole tree (with branches) 20 m3 h�1
Lifetime/chipper 7 a Annual work amount
Lifetime/loader 10 a Small size wood (delimbed) 10,000 m3
Scrap value of tractor 15 % Pulpwood 20,000 m3
Scrap value of chipper 20 % Fixed costs
Scrap value of loader 15 % Total depreciation 26496.5 V
Management and overheads 5800 V a�1 Interest 15414.0 V
Insurances 2000 V a�1 Insurance 2000.0 V
Risk 5 % Management and overheads 5800.0 V
Interest rate 5 % Fixed costs total 49710.4 V
Salary of the workers 18 V h�1 Variable costs
Social expenses % 60 % Salaries 36534.9 V
Price/fuel 1.0 V l�1 Fuels and oils 45257.1 V
Fuel consumption (chipping) 40.5 l h�1 Maintenance 10470.6 V
Fuel consumption (transfer) 30 l h�1 Traveling 9500.0 V
Translocation 100 km 4 h Risk 7573.7 V
Translocation cost/km 1.5 V km�1 Variable costs total 109336.3 V
Hydraulic oil 1.8 V l�1 Total yearly costs 159046.7 V a�1
Hydraulic oil consumption 0.1 V h�1 Total costs/E15hour 148.8 Vh�1
Motor oil 1.2 V l�1 Unit cost 5.3 Vm3
Motor oil consumption 0.086 L h�1 Wood density 650.0 kgm3
Maintenance 50% of depreciation 10470.6 V a�1 Cost/t at 40% MC 8.3 V t�1
Work travel 25000 km Moisture content of wood 40.0 %
Travel compensation 0.38 V km�1 Energy content of wood
Effective work hours 971 h a�1 Timber with bark 1.86 MWhm3
Working hours/shift 8 h shift�1 Cost per energy content 2.85 VMWh�1
Workdays/month 15 day/month
Maintenance time 97.1 h a�1
Transfer time 100 h a�1
Other working times 100 h a�1
b i om a s s an d b i o e n e r g y 3 5 ( 2 0 1 1 ) 4 5 7 0e4 5 8 04574
compartments were then merged with this point layer to
ensure at least one calculation point inside every compart-
ment in the dataset (some of the compartments were pretty
small, 1000 m2, and the largest covered over 20 km2). In the
procedure, the compartment identification was given to all
points inside any compartment as an attribute.
For the calculation of the forwarding distances, there was
at least one calculation point in all areas, and about 8001
points in the biggest area. The high amount of calculation
points with a very detailed road network lead to a computer
intensive analysis. The ArcMap� “Near”-function was used to
determine the distance from each point to a point of the
nearest road.
The forwarding distance for each compartment was
calculated as a mean of these distances from points lying
inside compartment in question. The mean distances were
multiplied with a winding factor of 1.3 to get the estimates for
the actual forwarding distances. The calculationmethod used
here leads to several stockpiles along roadside, as it would be
the case in the true action as well. For the biggest compart-
ments, that covered whole forest farms, in some cases
according to the calculations the stockpiles would be along
several separate roads with even different routes to the heat
plant in Wick. However, one long transport distance was used
for each compartment as a whole.
When a compartment is situated near a road, its area is
small or it is having a narrow but long shape, themethod used
here could lead to a calculated forwarding distance that is too
short for the practical operation. These cases have been
handled by correcting the forwarding distance to an accept-
able level without taking into account what had been the
cause. The distances under 50 m have been considered to be
too short, so the calculated distances have been corrected
with the following formula:
forwarding distanceðmÞ ¼ fðxÞfðxÞ ¼ xþ ½25� x=2�; when x � 50fðxÞ ¼ x; when x > 50
where x¼ calculated mean distance; constant 25 (m)¼ the
half of the distance between the points in uniform point layer.
2.5.4. Long distance transportation and road data GISRoad haulage distances for each compartment were calcu-
lated along the road network. As the data consisted of 715
b i om a s s a n d b i o e n e r g y 3 5 ( 2 0 1 1 ) 4 5 7 0e4 5 8 0 4575
compartments of different sizes there were >715 dissimilar
transport distances and routes to be optimized. Transport
distances were calculated from each compartment’s geo-
graphical center point (centroid) to the destination.
The ArcGIS Network Analyst was used to calculate the
routes to Wick from the points on the road that were nearest
to the forest center points. In the route optimization road
hierarchy was set so that the main roads were used as much
as possible.
The cumulative sum of forest areas according to long
distance transport distances was calculated with Microsoft
Excel�. Also the cumulative sums for each harvesting period
by long distance transport was calculated: variables that were
scrutinized in a given cutting plan were: harvesting areas (ha),
total harvested wood (m3), logs (m3) and small diameter
material (m3).
3. Results
The available forest area around Wick increases evenly with
increased transportation distance (Figs. 2 and 3). Within the
assumed 100 km maximum transportation distance, approx-
imately 330 km2 of forest land are available.
The cumulative sums for each harvesting period by long
distance transport were calculated. Fig. 4 shows that the
harvestable volumes during the next 6 years are relatively low
when compared with the period starting from the year 2012.
Due to the low supporting capacity of the soil in the Scot-
tish Highlands it is not possible to use terrain chippers or
harvest logging residues. Due to the lack of competition for
timber in the Scottish Highland, roundwood can be used for
forest chips. Roundwood harvesting also offers the favor that
experienced forest harvesting entrepreneurs already exist.
The establishment of a supply chain for forest fuel is
assumed to have a positive effect on the general attitude
towards forest fuels. There are a number of suitable utilization
places and also a developed support scheme in place and
therefore it is expected that investment in wood chip boilers
will increase in the future. When many smaller customers
demand forest chips, chipping of the raw material at the
utilization place is expensive. Further, in and close to resi-
dential areas, limits on noise levels and lack of suitable space
rules out the option to chip at the location of the end user.
Therefore, chipping at the roadside or terminal remained as
options providing the necessary flexibility. In the end, the
05000
10000150002000025000300003500040000
0 20 40 60 80 100 120km
ha
Fig. 2 e Cumulative area of forests in the Northern
Highlands by transportation distance from Wick.
difficulty to find a suitable location and the extra handling
costs at a terminal made chipping at roadside the only viable
alternative.
The combustion technology provides the fuel quality
requirements. At the same time several users of forest chips at
different scales provide the possibility to produce chips at
different scales. In the case of one large-scale customer and
several medium to small-scale customers it can be assumed
that particularly on the farm scale chips will also be produced
for individual farms. If a gasification system should be chosen,
even higher requirements in regards to fuel quality particu-
larly moisture content has to be considered. In general, the
high moisture content (50e55%) of the raw material after
felling is one of the greatest challenges. It is essential that the
timber is stored in order to reduce themoisture content. From
a logistics perspective chipping at roadside is therefore also
the most suitable alternative. Based on evaluating different
aspects for forest energy harvesting it was determined that
chipping at roadside is the most suitable method for the
production of chips from forests (Fig. 5).
Fig. 6 illustrates that the transportation cost per tonne is
very sensitive to the transportation distance. Natural drying of
timber has a positive effect on the costs if they are monitored
according to the energy content, i.e. MWh. Fresh timber can be
assumed to have a moisture content of approximately 50%
which means that the energy content is about 2.3 MWh t�1.
When timber dries to 40% moisture content, the energy
density per tonne increases up to 2.8e2.9 MWh t�1 [32,33]. Due
to the lower moisture content of the material, the shares of
chipping and transportation are smaller in the total cost
structure, when the unit costs are presented in MWh (Fig. 7).
A comparison of costs depending on the location of chip-
ping is given in Fig. 8. Chipping at plant is the cheapest option,
but not in many cases not possible if the plant is located in
a densely populated urban area. Roadside chipping is the next
cheapest option up to a transportation distance of 100 km.
With long transportation distances the extra costs of terminal
handling can be compensated by more effective roundwood
transportation. However, that is the case only when terminal
is relatively near the plant, in this specific case, 5 km.
4. Discussion
The currently available data on the growing stock may be
a significant underestimate of the available wood according to
forestry professionals [34]. However, the best available data
were used and updating can easily be done as better data
becomes available. On the other hand, the possible underes-
timation of growing stock thus means that the forest fuel
potential described above can be seen as a conservative
minimum estimate of the potential. In addition, to meet local
fuel demands, some stands planned to be harvested in the
2012e2016 could be harvested already in the coming six years.
Alternative fuel sources, such as logging or thinning residues,
could also be utilized. Finally, the Northern parts of the Scot-
tish Highlands are close to a deep sea harbor. This offers the
possibility to import timber and other fuel resources as
a backup from other parts of Europe in the case of temporary
local wood fuel shortages. Benefits and challenges of marine
Fig. 3 e Road transportation distance to Wick in the Northern Highlands.
b i om a s s an d b i o e n e r g y 3 5 ( 2 0 1 1 ) 4 5 7 0e4 5 8 04576
transport of timber in Scotland have been investigated and
discussed in a report by the Scottish enterprise in 2006 [35].
However, the raw material availability should improve
already after 2012.
The cost sensitivity in regards to long distance trans-
portation, in particular, has to be carefully considered. Costs
vary significantly depending on the natural conditions, the
contractor employed and the working method, and trans-
portation distance. The number of technological and logistic
options is high and each option has different effects on the
total transportation costs. Another important factor that
should be considered is that in case of chipping at roadside
and chipping at the plant only one type of truck (either chip or
normal roundwood truck) is needed, whereas when chipping
Fig. 4 e Cumulative yearly harvesting volumes by road
transportation distance. Years 2003e2026.
is done at the terminal a timber truck and chip truck are
needed which requires more logistics. A combined truck that
would be able to transport both round wood and chips might
be another possibility.
These calculations presuppose insignificant competition
for the roundwood resources on the East coast of the Scottish
Highlands. If competition should increase, the situationmight
change dramatically and alternative fuel resources such as
thinning residues will have to be considered as well.
The uncertainties described above must be considered.
However it was the aim of this study to investigate the general
cost structure of forest chips for a significant district heating
development (10 MW). Another objective was to find out
whether forest energy harvesting is feasible compared to
other energy options. Even considering the possible errors, the
results indicate that cost of forest fuel harvesting is logistically
and economically feasible compared to alternative energy
sources.
The price of forest fuel in Scotland is high compared to
Finnish and Polish conditions [36,37]. According to Heikkila
et al. [35] the unit costs of fuel chips made from delimbed
small diameter stems is 34.2e37.6 Vm3 solid (VAT 0%) at
a transportation distance of 40 km and terminal or end use
facility chipping. When 5% VAT are added and costs are pre-
sented by MWh, the corresponding figure is 16.5e18.1 V. In
addition four Finnish energy cooperatives were interviewed
[38e41] about the price of chips they pay to the supplier. The
prices delivered to plant varied between 11.4 and 13.5
No terrainchipping
Low bearingcapacity of soil
Lack ofcompetition
High moisturecontent of fuelChip boilersExisting
entrepreneurs
No chippingat plant
Multiplecustomers
Gasification
Harvesters &Forwarders
Drying in theforest
Chipping at roadside
Natural conditions Fuel propertiesSocial Combustion technology
Varying sizeof customers
Big & smallchippers
No harvestingof residues
Roundwoodfor fuel
Loggingresidues areneeded forbrush mat
No space forterminal
No terrainchipping
Low bearingcapacity of soil
Lack ofcompetition
High moisturecontent of fuelChip boilersExisting
entrepreneurs
No chippingat plant
Multiplecustomers
Gasification
Harvesters &Forwarders
Drying in theforest
Chipping at roadside
Varying sizeof customers
Big & smallchippers
No harvestingof residues
Roundwoodfor fuel
Loggingresidues areneeded forbrush mat
No space forterminal
Fig. 5 e Decision support tree for forest energy harvesting in the case of Northern Scotland.
b i om a s s a n d b i o e n e r g y 3 5 ( 2 0 1 1 ) 4 5 7 0e4 5 8 0 4577
VMWh�1. If 5% VAT is added in order to better compare to the
Scottish figures, the price would be 12e14.2 VMWh�1.
Furthermore, it has to be considered, in Finnish conditions,
harvesting of small size trees for energy can be supportedwith
a state subsidy of up to 6 VMWh�1 if this is added to the mill
gate price the actual income of the forest chip supplier could
be up to 22 VMWh�1.
However, results presented for Finland and Poland are
based on small diameter trees where harvesting costs are
much more expensive compared to industrial roundwood
harvesting. Furthermore chipping at plant or end use facilities
were considered in those studies whereas in Scotland chip-
ping at roadside was assumed. If those factors are considered
the price level of forest energy is even higher in Scotland.
Nonetheless, if results from this study are compared to the
general price level of forest fuels in Scotland [40], which is
approximately 30 VMWh�1, results from this study indicate
that forest chips for industrial purposes can definitely be
competitive on the Scottish wood fuel market.
The introduction of forest energy in countries with weak
timber harvesting and usage traditions is more challenging
0
10
20
30
40
50
60
70
80
1 25 50 75 100 125 150 175
Transportation distance, km
Uni
t cos
t, €/
tonn
e VAT 5%OverheadsTransportationChippingHarvesting
Fig. 6 e Unit cost in V tL1 of forest fuels according to
transportation distance and when chipping is done at
roadside.
compared to countries with a very developed forest industry
and high utilization of timber. One of the possible reasons to
explain that is that in countries with high timber usage,
harvesting operations are either highly mechanized or other
established harvesting systems have been introduced. The
efficient use of existing technology is one of the key
factors when introducing a new technology. Entrepreneurs or
contractors should minimize their experimenting and make
use of already existing and proven technology. The tech-
nology transfer from countries with an established harvest-
ing chain can therefore be of a great benefit where both sides
benefit from each other. The country, where the technology
is transferred from, also benefits through the improvisation
of their own technology by adapting it to new and varying
conditions.
The technology selection process has clearly shown that
the supply chains have to be tailored to local conditions and
the quality of forest fuel to be produced. There are numerous
possibilities to produce forest energy and during our investi-
gations suitable options had to be discounted due to the local
conditions or bottlenecks that could not be foreseen such as
road transportation or carrying capacity of the soil. During the
technology selection process it also became clear that the
cooperation of all stakeholders is essential. The organization
of the combustion technology selection and forest fuel supply
chain should be done parallel and interlinked to minimize the
risk of producing the wrong kind of fuel or not having enough
suitable resources tomeet the demands of the end user. There
is a strong relationship between the selected scale and type of
combustion and the biomass resources and their procurement
chain.
A bottleneck for further development of forest energy is the
lack of developed business models for forest energy
producers. The possibilities to earn money have to be more
visible in order to make forest energy business attractive to
producers. This requires active transfer and adaptation of
already existing business models from countries with an
established and functional market.
0
5
10
15
20
25
30
35
1 25 50 75 100 125 150 175
Transportation distance, km
Uni
t cos
t, €/
MW
h
Chipping at plantChipping at roadsideChipping at terminal
Fig. 8 e Unit cost of energy according to different locations of chipping.
0
5
10
15
20
25
30
1 25 50 75 100 125 150 175
Transportation distance, km
Uni
t cos
t, €/
MW
h VAT 5%OverheadsTransportationChippingHarvesting
Fig. 7 e Unit cost in VMWhL1 of forest fuels when chipping is done at the roadside.
b i om a s s an d b i o e n e r g y 3 5 ( 2 0 1 1 ) 4 5 7 0e4 5 8 04578
One of the challenges in the Northern Highlands, at the
moment, is the dispersed location of the forests and the fact
that there is only one comparatively large user of the
biomass. This limits the large-scale use of forest biomass
and increases the need for costly road transportation.
A possible solution to further increase the utilization rate is
to locate additional wood fuel installations in the future. This
would enable larger investments in the forest energy supply
chains by local entrepreneurs. In return, this would increase
the confidence of the consumer to invest into heating
systems based on forest chips since supply would be
ensured.
This study has shown that forest energy offers an
economically feasible alternative for future energy production
in the Scottish Highlands. This study has been carried out
from the point of view of Finnish forest energy business.
However, the technology was selected to fit local conditions
and demands in Scotland. Still, it may be necessary to adapt
solutions further to the needs of Scottish forest energy
entrepreneurs and energy producers. A major obstacle to
overcome is the local scepticism about the use of forest
energy. The only way to convince those sceptics is by estab-
lishing systems that work on a sustainable basis and without
any major problems.
In an international perspective, Scotland has a favorable
positionwith regards to increasedutilizationof forest fuels.The
biomass base is abundant and the infrastructural conditions
include strong timber harvesting expertise and full mechani-
zation of harvesting operations. Even so, careful holistic plan-
ning of setups and supply chains is required because traditions
of forest fuel utilization areweakand theoptions for organizing
the forest fuel supply chains are numerous.
Acknowledgements
Data collection and preparation of this study were carried out
within the Northern WoodHeat project. Financing and
support of the project by the European Union, Regional
Development Fund and Interreg IIIB Northern Periphery Pro-
gramme are gratefully acknowledged.
r e f e r e n c e s
[1] Karjalainen T, Asikainen A, Ilavsky J, Zamboni R, Hotari KE,Roser D. Estimation of energy wood potential in Europe
b i om a s s a n d b i o e n e r g y 3 5 ( 2 0 1 1 ) 4 5 7 0e4 5 8 0 4579
[Monograph on the Internet]. In: Working Papers of theFinnish Forest Research Institute 6. Helsinki: FinnishForest Research Institute. Available from: http://www.metla.fi/julkaisut/workingpapers/2004/mwp006.pdf; 2004. 43 p.[accessed 28.04.11].
[2] Smith S, Gilbert J, Coppock R. Great Britain: new forecast ofsoftwood availability [Article on the Internet]. Surrey:Forestry Commission. Available from: http://www.forestry.gov.uk/pdf/publishedforecast2000.pdf/$FILE/publishedforecast2000.pdf; 2000 [28.04.11]11 p.
[3] Ylitalo E. Puupolttoaineiden kaytto energiantuotannossa. In:Metsatilastotiedote 770. Helsinki: Finnish Forest ResearchInstitute; 2004. 8 p.
[4] Hakkila P. Wood energy technology program 1999e2003.Final report. Helsinki: National Technology Agency; 2004. 135p. Teknologiaohjelmaraportti 5.
[5] Mikkonen E, Leinonen T. Future studies in forest operations.In: Iwarsson Wide M, Baryd B, editors. Second forestengineering conference, 12e15 May 2003, Vaxjo, Sweden.Uppsala: Skogforsk; 2003. p. 7.
[6] Asikainen A, Ala-Fossi A, Visala A, Pulkkinen P.Metsateknologiasektorin visio ja tiekartta vuoteen 2020.Helsinki: Finnish Forest Research Institute; 2005. 91 p.Working papers 8.
[7] Brunberg T. Underlag for produktionsnormer forbestandsgaende engreppsskordare i gallring e emlitteraturstudie [Summary: Productivity norms for stand-operating single-grip harvesters in thinning e a study of theliterature]. Uppsala: The Forestry Research Institute ofSweden; 1991. 23 p. Redogorelse 3.
[8] Brunberg T. Underlag for produktionsnorm forengreppsskordare I gallring [Summary: Basic productivitynorms for single-grip harvesters in thinning]. Uppsala: TheForestry Research Institute of Sweden; 1997. 18 p.Redogorelse 8.
[9] Brunberg T, Thelin A, Westerling S. Underlag forproduktionsnormer for engreppsskordare i gallring[Summary: Basic data for productivity standards forsingle-grip harvesters in thinning]. Uppsala: TheForestry Research Institute of Sweden; 1998. 25 p.Redogorelse 3.
[10] Eliasson L. Analyses of single-grip harvester productivity.Umea: Swedish University of Agricultural Sciences,Department of Operational Efficiency; 1998. 24 p.
[11] Glode D. Single- and double-grip harvesters e productivemeasurements in final cutting of shelterwood. Int J ForestEng 1999;10(2):63e74.
[12] Siren M. Hakkuukonetyo, sen korjuujalki japuustovaurioiden ennustaminen [Summary: One-gripharvester operation, its silvicultural result and possibilitiesto predict tree damage]. Helsinki: Finnish Forest ResearchInstitute; 1998. 179 p. Research papers 694.
[13] Saunders CJ. Wood fuel trial rivox, Ae Forest District. Surrey:Forestry Commission; 2001. 10 p. Internal projectinformation note 15/06.
[14] Hall A. Small-scale systems for harvesting woodfuelproducts. Edinburgh: Forestry Commission; 2005. 12 p.Technical note 009.
[15] Asikainen A, Pulkkinen P. Comminution of loggingresidues with evolution 910R chipper, MOHA chippertruck, and Morbark 1200 tub grinder. Int J Forest Eng 1998;9(1):47e53.
[16] Tanttu V, Siren M, Aaltio H, Karha K. Ensiharvennustenkorjuuolojen parantamismahdollisuudet. In: Siren M, editor.Ensiharvennusten korjuuolot ja niidenparantamismahdollisuudet. Summary: Wood energyconditions in first thinnings and possibilities for their
improvement. Helsinki: Finnish Forest Research Institute;2002. p. 37e50. Research papers 837.
[17] Tanttu V, Siren M. Integrated harvesting in tree energyproduction. Int J Forest Eng 2003;15(2):85e94.
[18] Siren M. Economic and silvicultural performance of differentthinning machinery. In: Iwarsson Wide M, Baryd B, editors.Second forest engineering conference, 12e15 May 2003,Vaxjo, Sweden. Uppsala: Skogforsk; 2003. p. 10.
[19] Ryynanen S, Ronkko E. Harvennusharvestereiden tuottavuusja kustannukset [Summary: Productivity and expensesassociated with thinning harvesters]. Rajamaki: TTSInstitute; 2001. 67 p. Tyotehoseuran julkaisuja 381.
[20] Karha K, Ronkko E, Gumse SI. Productivity and cutting costsof thinning harvesters. Int J Forest Eng 2003;15(2):43e56.
[21] Jylha P. Feasibility of bundling tree sections for integratedharvesting of pulpwood and energy wood in early thinning ofScots pine. Int J Forest Eng 2003;15(2):35e42.
[22] Laitila J, Asikainen A, Sikanen L, Korhonen KT, Nuutinen Y.Pienpuuhakkeen kustannustekijat ja toimituslogistiikka[Cost factors and supply logistics of chips from youngforests]. Helsinki: Finnish Forest Research Institute; 2004. 58p. Working papers of the Finnish Forest Research Institute, 3.
[23] Sivonen M. Kustannuslaskelma PUU02. Oulu: SKALMetsaalan kuljetusyrittajat Ry; 2006.
[24] Hognas T. A comparison of timber haulage in Great Britainand Finland. In: Forestry Publication of Metsahallitus 39.Helsinki: Metsahallitus; 2001. 31 p.
[25] Nurminen T, Heinonen J. Characteristics and timeconsumption of timber trucking in Finland. Silva Fennica2007;41(3):471e87.
[26] Ranta T. Logging residues from regeneration fellings for biofuel production e a GIS based availability and supply costanalysis. Lappeenranta: Lappeenranta University ofTechnology; 2002. 180 p. Acta UniveristatisLappeenrantaensis 128.
[27] Halonen P, Vesisenaho A. Hakeautoseuranta. Jyvaskyla:Technical Research Centre of Finland; 2002. 25 p.Tutkimussselostus PRO/T6046/02.
[28] Kariniemi A. Puunkorjuu ja kaukokuljetus vuonna 2005[Logging and transporting of roundwood in 2005]. Helsinki:Metsateho; 2006. 4 p. Metsatehon katsaus 19/2006.
[29] Hillebrand K, Nurmi J. Nuorista metsista korjattavanenergiapuun kuivatus ja varastointi e osaprojekti. In:Hillebrand K, editor. Metsahakkeen tuotannon kehittaminennuorista metsista. Espoo: Technical Research Centre ofFinland; 2004. p. 15e9. VTT Projektiraportti PRO2/P6021/04.
[30] Laitila J. Metsahakkeen kustannuslskentaohjelmat.Bioenergia 2005;2:22e3.
[31] Timber Transport Forum. The Highland North e agreedroutes map [Publication on the Internet]. Edinburgh: TimberTransport Forum. Available from: http://www.timbertransportforum.org.uk; 2004 [accessed 20.05.04].
[32] Hakkila P, Kalaja H, Saranpaa P. Etela-Suomenensiharvennusmannikot kuitu- ja energialahteena [Firstthinning aged pine stands in Southern Finland as a source ofpulp and energy]. Helsinki: Finnish Forest Research Institute;1995. 93 p. Metsantutkimuslaitoksen tiedonantoja 582.
[33] Karkkainen M. Puutieteen perusteet. Helsinki: Metsalehti;2003. 451 p. Metsalehti kustannus.
[34] Beck C. Chief Executive Highland Birchwoods, Scotland.Personal communication, 24.4.2005.
[35] Deltix. Opportunities for the marine transport of timberin Scotland. Glasgow: Scottish Enterprise; 2006. 80 p.Report 10865.
[36] Alakangas E, Jussila J. Ilmastonmuutoksen hillinnanliiketoimintamahdollisuudet. Helsinki: National TechnologyAgency; 2006. 2 p. Teknologiakatsaus 193.
b i om a s s an d b i o e n e r g y 3 5 ( 2 0 1 1 ) 4 5 7 0e4 5 8 04580
[37] Heikkila J, Laitila J, Tanttu V, Lindblad J, Siren M, Asikainen A,et al. Karsitun energiapuun korjuuvaihtoehdot jakustannustekijat. Helsinki: Finnish Forest Research Institute;2005. 56 p. Working papers 10.
[38] Hassinen U. Eno Energy Cooperative, Eno, Finland; 2006.Interviewed on 13.12.2006.
[39] Kosonen T. Tuupovaara Energy Cooperative, Joensuu,Finland; 2006. Interviewed on 13.12.2006.
[40] Lukkarinen I. Kontio-Energia Energy Cooperative,Kontiolahti, Finland; 2006. Interviewed on 13.12.2006.
[41] Ala-Mattinen R. Lehtimaki Energy Cooperative, Finland;2006. Interviewed on 13.12.2006.