Stolarski et al 2014

background image

Research Paper

Energy intensity and energy ratio in producing
willow chips as feedstock for an integrated
biorefinery

Mariusz J. Stolarski

*

,

1

, Michał Krzy

_zaniak

1

, Jo´zef Tworkowski

1

,

Stefan Szczukowski

1

, Janusz Gołaszewski

1

University of Warmia and Mazury in Olsztyn, Faculty of Environmental Management and Agriculture, Department
of Plant Breeding and Seed Production, Plac Ło´dzki 3/420, 10-724 Olsztyn, Poland

a r t i c l e i n f o

Article history:

Received 20 November 2013
Received in revised form
5 March 2014
Accepted 28 April 2014
Published online

Keywords:

Willow
Energy inputs
Diesel consumption
Energy intensity
Energy ratio

This study examined the production of willow at a commercial plantation with an area of
10.5 ha, situated in north-eastern Poland. Its aim was to evaluate the energy intensity and
energy ratio of the production of chips of new willow cultivars as feedstock for an inte-
grated biorefinery. This study emphasises the key importance of the selection of a willow
cultivar for the production of willow chips and the transport distance to a biorefinery for
the energy intensity of the production process and the energy ratio of the supplied
biomass. The lowest energy intensity for willow chip production was achieved for the
plantation of the highest-yielding cultivar (UWM 006). When the yield exceeded 86 t ha

1

of

fresh biomass, the energy intensity was 0.35 GJ t

1

of fresh matter (f.m.). The energy ratio

for the product at the farm gate varied depending on the cultivar and ranged from 23.9 to
10.2, for UWM 006 and UWM 155 cultivars, respectively. The distance of biomass transport
to a biorefinery significantly affected the energy ratio. When chips were transported for
25 km, the energy intensity for the production of 1 t of chips increased by 3

e7% compared

to its value at the farm gate. The energy intensity for the longest of the analysed transport
distances increased by 23

e53%. The energy ratio for each cultivar decreased significantly

by 3

e35% with increasing transport distance. The values of energy intensity and energy

ratio for UWM 006 and UWM 043 were better than those achieved in other studies.

ª 2014 IAgrE. Published by Elsevier Ltd. All rights reserved.

1.

Introduction

Bio-based industry and renewable energy are one of the new
research and development directions supported in Europe by

the European Commission and by other countries around the
world (

Bridge 2020, 2014; European Commission, 2012

). Until

recently, biomass was perceived as feedstock mainly for heat
and power production, while its use for other purposes was
regarded as a niche activity. A huge part of the energy and

* Corresponding author. Tel.:

þ48 895234838; fax: þ48 895234880.

E-mail addresses:

mariusz.stolarski@uwm.edu.pl

(M.J. Stolarski),

michal.krzyzaniak@uwm.edu.pl

(M. Krzy

_zaniak),

jozef.tworkow-

ski@uwm.edu.pl

(J. Tworkowski),

stefan.szczukowski@uwm.edu.pl

(S. Szczukowski),

janusz.golaszewski@uwm.edu.pl

(J. Gołaszewski).

1

Tel./fax:

þ48 895234880.

Available online at

www.sciencedirect.com

ScienceDirect

journal homepa ge: www .e lsev ie r.com/locate/issn/153 75110

b i o s y s t e m s e n g i n e e r i n g 1 2 3 ( 2 0 1 4 ) 1 9 e2 8

http://dx.doi.org/10.1016/j.biosystemseng.2014.04.011

1537-5110/

ª 2014 IAgrE. Published by Elsevier Ltd. All rights reserved.

background image

chemical industry base their production on fossil feedstock
(non-renewable). The continuous increase in consumption of
fossil feedstocks has led to their depletion and to price in-
creases. Moreover, their mining and consumption is accom-
panied by the emission of greenhouse gases and, in
consequence, an escalation of the greenhouse effect (

IEA,

2012; IPCC, 2013

). As a result, the status of biomass may

change from the “fuel of the poor” to a component of many
biorefinery industry products.

Willow biomass is used in the production of heat, power

and biofuels (

Carroll & Finnan, 2013, 2012; Stolarski,

Krzyzaniak, et al., 2013; Stolarski, Szczukowski, Tworkowski,
& Klasa, 2013; Wang, Dunn, & Wang, 2012

). However, ulti-

mately, willow biomass can be one of the potential lignocel-
lulose feedstocks for integrated multi-product biorefineries.
The EuroBioRef project will develop a new highly-integrated
and diversified concept, including multiple feedstocks
(including

lignocellulosic

biomass),

multiple

processes

(chemical, biochemical, thermochemical) and multiple prod-
ucts (aviation fuels and chemicals). A flexible approach will
widen bio-refinery implementation to the full geographical
range of Europe and will offer opportunities to export bio-
refinery technology packages to more local markets and
feedstock hotspots. The ambitious objectives of the Euro-
BioRef project seek a decrease in energy consumption by 30%
for a final product and at least 10% lower raw material con-
sumption (

EuroBioRef, 2013

). Willow, as a lignocellulose

biomass, is proposed as the feedstock in two value chains: VC
3

e alcohols to fuels and VC 5 e syngas-based products.

Perennial energy crops, including willow, should be char-

acterised by high productivity and the biomass produced from
them should have high calorific value. This would produce
considerable amounts of energy and would result in a high
energy ratio of biomass production. Only if this is achieved
will further stages of biomass conversion to secondary energy
carriers and bioproducts be justified as an environmentally-
friendly and sustainable solution. Short-rotation willow
output achieved in experiments conducted in Poland has
reached 30 t dry matter (d.m.) ha

1

year

1

. The average yield

has usually ranged from 10 to 12 t d.m. ha

1

year

1

(

Stolarski,

Szczukowski,

Tworkowski,

&

Klasa,

2008;

Stolarski,

Szczukowski, Tworkowski, Wroblewska, & Krzyzaniak, 2011;
Tworkowski, Szczukowski, & Stolarski, 2006

). On the other

hand, the willow yield on large (70

e300 ha) commercial

plantations was usually much lower than that in experiments
and typically amounted to 4

e10 t d.m. ha

1

year

1

. Such a low

yield was achieved on commercial plantations because of
difficulties with the right choice and preparation of the field,
errors in setting up plantations, ineffective weed control,
wrong fertilisation and using clones with low efficiency
(

Tworkowski, Ku

s, Szczukowski, & Stolarski, 2010

). Therefore,

it is very important from a practical point of view that the yield
obtained in experiments should be verified in professional
commercial production. Further development of this type of
production requires an analysis of the relationship between
the effectiveness of different cultivars and clones of willow on
commercial plantations and environmental and agrotechnical
procedures. An evaluation of the energy intensity (the ratio of
the total energy use per t of fresh matter yield) and energy
ratio (the energy value of yield divided by the total energy

input) in willow chip production for industrial or energy
feedstock is also necessary.

Similar studies on energy yield and energy ratio of biomass

production can be found in scientific literature. For instance,

Boehmel, Lewandowski, and Claupein (2008)

compare energy

yield and primary net energy yield (the difference between the
primary energy yield and the energy consumption) of peren-
nial (SRC willow, miscanthus) and annual (maize, rape) plants.

Vande Walle, Van Camp, Van de Casteele, Verheyen, and
Lemeur (2007)

studied the utilisation potential of birch,

maple, poplar and willow as feedstock for the production of
renewable power in Flanders (Belgium). On the other hand,

Matthews (2001)

modelled the energy and carbon budgets of

wood fuel coppice systems, to study the energy and carbon
budgets of biofuel production systems. The above-mentioned
studies, as well as those recently conducted in Italy with
poplar cultivated in a 6-year harvest cycle (

Manzone,

Bergante, & Facciotto, 2014

), prove the high energy ratio of

both the cultivation and acquisition of perennial plants.

The advantage of the present study was the possibility of

using varieties offering the lowest willow chip production
energy intensity. This further reduced this indicator for the
final product in the biorefinery. Therefore, the aim of this
study was to evaluate the energy intensity and energy ratio of
the production of chips of seven new willow cultivars har-
vested in a three-year rotation as feedstock for an integrated
biorefinery, depending on the transport distance.

2.

Materials

This study was conducted on a commercial willow plantation
with an area of 10.5 ha, set up in mid-April 2010 at the Didactic
and Research Station in Łe˛

_zany, owned by the University of

Warmia and Mazury in Olsztyn. It is located in the north-east
of Poland, on land of the village of Samławki (53

59

0

N, 21

05

0

E). The area on which the plantation was situated is undu-
lating and very diverse in elevation. Low quality soil (mainly
on soil created from slightly loamy sand and light loamy sand)
that was of limited use for typical annual crops was selected
for the plantation. Generally, the land in the elevated areas
had a groundwater level far below 1.50 m so the soil was
permanently dry. By selecting a relatively poor soil site it was
possible to evaluate the willow yield potential in areas of little
use for food or feed crops. Three cultivars and four clones of
willow were planted on the plantation; for this study they
were regarded as cultivars and all had been bred at the
Department of Plant Breeding and Seed Production of the
University of Warmia and Mazury in Olsztyn. Start, Tur,
Turbo, UWM 006, UWM 043 were of the species Salix viminalis,
UWM 035 was of the species Salix pentandra and UWM 155 was
of the species Salix dasyclados.

Willows were planted at a density of 18

10

3

ha

1

. Willow

cuttings were planted in strips, with two rows in a strip spaced
every 0.75 m, with 1.5 m of space separating the next 2 rows in
a strip with 0.75 m space between them, etc., with plants in a
row spaced every 0.5 m.

Triticale was sown as the previous crop. The following

procedures were carried out in order to prepare the site:
spraying with glyphosate to eliminate weeds (Roundup

b i o s y s t e m s e n g i n e e r i n g 1 2 3 ( 2 0 1 4 ) 1 9 e2 8

20

background image

4 l ha

1

), disking (

2), winter ploughing, fertilisation with PRP

Sol (300 kg ha

1

), harrowing (

2), mechanical planting of

willow cuttings with a step planter, spraying with a soil her-
bicide (Guardian CompleteMix 664 SE 3.5 l ha

1

), mechanical

weeding (

2), spraying with a herbicide against mono-

cotyledon weeds (Targa Super 2.5 l ha

1

).

According to our 20-year experience, which involved willow

cultivation as an energy crop, and to the principles of the Euro-
bioref project, no top dressing was applied in the first year of the
willow vegetation. However, before the beginning of the second
year of vegetation, i.e. in spring 2011, mineral fertilisation was
performed at: N 90 kg ha

1

; P

2

O

5

30 kg ha

1

, K

2

O 60 kg ha

1

.

Phosphorus was applied as triple superphosphate and potas-
sium as potassium salt. Nitrogen was applied in two doses as
ammonium nitrate. The first dose of 50 kg ha

1

was applied

immediately before the start of the plant growth, and the
remaining dose (40 kg ha

1

) was applied at the end of May 2011.

In the second year of vegetation, the plantation was sprayed with
a herbicide against monocotyledons (Targa Super 2.5 l ha

1

).

After the third year of growth, in December 2012, three-

year-old willows were harvested with a Claas Jaguar 830
harvester. Chips were collected from the harvester with three
units, each one consisting of New Holland TM 130 tractors and
T 169/2 transport trailers. Subsequently, the trailers with
chips produced from different cultivars were weighed and the
fresh biomass yield in t ha

1

was determined. Further ana-

lyses took into account the transport of chips to a biorefinery
over one of four distances; 25, 50, 100 and 200 km. Professional
containers with a capacity of 80 m

3

of chips each were used for

biomass transport, which totalled about 25 t of fresh chips per
run.

3.

Methods

The energy intensity and energy ratio of the production of
chips from the willow cultivars under study was analysed
based on the fresh biomass yield obtained in the first three-
year harvest cycle. The total input was divided into three
stages. The first one involved setting up a plantation and its
liquidation and the second one involved its operation. The
third stage was transport to a biorefinery. The input for
setting up and running a plantation in the first year of
growth and for its future liquidation is presented here in

whole and was allocated across each of the 21 years of its
operations.

The analysis of materials and energy, incurred for setting

up the plantation and the production of willow chips,
covered separate streams of energy: direct energy carriers
(diesel fuel); utilisation of fixed assets (tractors, machines,
equipment); consumption of materials (mineral fertilisers,
agrochemicals, willow cuttings) and human labour. The total
energy input for the willow cultivation, production and
transport of chips to a biorefinery was calculated based on
the indexes shown in

Table 1

. The types of equipment used

in field operations and the maximum power of the tractors
and those used in different procedures are shown in

Table 2

.

The total power of the Claas Jaguar harvester was 236.0 kW
and the power used was 212.4 kW. The field transport of
willow chips used a tractor with a maximum power of
95.6 kW and the power used was 47.8 kW. The technical and
operational parameters adopted for analyses were based on
the data contained in the paper by

Szeptycki and Wo´jcicki

(2003)

in the catalogue of agricultural machines (

IBMER,

2007

) and in materials published by manufacturers of trac-

tors and machines.

The yield energy value was calculated as the product of

fresh biomass yield and its lower heating value.

Y

ev

¼ Y

b

$Q

r

i

(1)

where Y

ev

is the biomass yield energy value (GJ ha

1

), Y

b

is the

biomass yield (t f.m. ha

1

), and Q

r

i

is the biomass lower heating

value (GJ t

1

).

Accumulated energy gain at the farm gate is the difference

between the yield energy value and the total input for its
production at the farm gate:

E

g

¼ Y

ev

I

fg

(2)

where E

g

is the accumulated energy gain at the farm gate

(GJ ha

1

), Y

ev

is the biomass yield energy value (GJ ha

1

), and I

fg

e total energy input at the farm gate (GJ ha

1

).

Energy intensity is the energy consumption per tonne of

fresh chips, which is the ratio of total energy input to the yield:

EI

¼ E

i

=Y

b

(3)

where EI is the energy intensity (GJ t

1

f.m.), E

i

is the energy

input (GJ ha

1

) and Y

b

e biomass yield (t f.m. ha

1

).

Table 1

e Energy conversion coefficients used to calculate the energy intensity of willow production.

Item

Unit

Energy conversion

coefficient (MJ)

Source

Fuel oil

1 kg

43.1

Neeft et al. (2011)

Nitrogen fertilisers

1 kg N

48.99

Neeft et al. (2011)

Phosphorus fertilisers

1 kg P

2

O

3

15.23

Neeft et al. (2011)

Potassium fertilisers

1 kg K

2

O

9.68

Neeft et al. (2011)

Other fertilisers, e.g. PRP sol

1 kg of fertiliser

15.23

Neeft et al. (2011)

Pesticides

1 kg of active substance

268.4

Neeft et al. (2011)

Cuttings

1 kg or 1 cutting

3.04 or 0.057

This research

Tractors, vehicles, self-propelled machines

1 kg

125

Szeptycki and Wo´jcicki (2003)

Agricultural machines and equipment

1 kg

110

Szeptycki and Wo´jcicki (2003)

Human labour

1 h

60

Szeptycki and Wo´jcicki (2003)

Transport of biomass

1 t d.m. km

1

0.94

Neeft et al. (2011)

b i o s y s t e m s e n g i n e e r i n g 1 2 3 ( 2 0 1 4 ) 1 9 e2 8

21

background image

Diesel fuel consumption per tonne of fresh or dry willow

chips is the ratio of the diesel fuel consumption and the wil-
low yield:

D

¼ F

c

=Y

b

(4)

where D is the diesel fuel consumption (kg t

1

f.m. or d.m.), F

c

is the fuel consumption (kg ha

1

) and Y

b

is the biomass yield

(t f.m. or d.m ha

1

).

The energy ratio of willow chips production is the ratio of

the yield energy value (energy output) and the accumulated
material and energy input for its production:

ER

¼ E

o

=E

i

(5)

where ER is the energy ratio, E

o

is the energy output, and E

i

e

energy input.

4.

Results and discussion

4.1.

Accumulated material and energy inputs

The accumulated material and energy inputs for setting up
and running 1 ha of a plantation of willow coppice during the
first year of growth and its liquidation after its exploitation
was completed, amounted to 20.37 GJ ha

1

(

Table 3

). Con-

verted to one year of plantation exploitation (assuming that
the plantation will be used for 21 years), it amounts to
0.97 GJ ha

1

. The input structure was dominated by the

plantation liquidation (36.3%). This was followed by fertilisa-
tion and planting of willow cuttings. On the other hand, the
energy stream was dominated by direct energy carriers, i.e.
diesel fuel (45.9%), followed by materials (32.6%). The energy

Table 2

e Data for field operations.

Operation

Tractor/Harvester

Machinery

Operating period

Comments

Name

Mass

(kg)

Power (kW)

(max/used)

Utilisation

of the

power

capacity

(%)

Name

Mass

(kg)

(h ha

1

)

Spraying

New Holland
TM 130 HP

5465

95.6/47.8

50

Krukowiak sprayer,
working width 18 m

2110

0.2

Glyphosate, Roundup
360 SL, 4 l ha

1

Disking

New Holland
TM 130 HP

5465

95.6/60.2

63

Kverneland disk
harrow, working
width 4 m

1160

1.4

2

coverage

Winter

ploughing

New Holland
TM 175 HP

7150

128.6/90.0

70

Kverneland PG 100
plough, working
width 2 m

1120

1.5

5-ridge plough,
ploughing depth 30 cm

Fertilisation

New Holland
TM 130 HP

5465

95.6/47.8

50

Rauch 3,0 t spreader,
working width 18 m

350

0.4

PRP Sol fertiliser, dose
300 kg ha

1

Harrowing

New Holland
TM 130 HP

5465

95.6/52.6

55

Harrow, working
width 6 m

530

1.0

2

coverage

Mechanical

planting of
cuttings

New Holland
TM 130 HP

5465

95.6/62.1

65

4-row step planter

2800

1.3

18,000 cuttings per ha

Spraying

New Holland
TM 130 HP

5465

95.6/47.8

50

Krukowiak sprayer,
working width 18 m

2110

0.2

Soil-applied herbicide,
Guardian CompleteMix
664 SE, 3.5 l ha

1

Weeding

New Holland
TM 90 HP

4410

66.0/33.0

50

Mechanical weeder P
430/2, working width
3 m

340

2.0

2

coverage

Spraying

New Holland
TM 130 HP

5465

95.6/47.8

50

Krukowiak sprayer,
working width 18 m

2110

0.2

Herbicide against
monocotyledon weeds,
Targa Super 05 EC,
2.5 l ha

1

Fertilisation

New Holland
TM 130 HP

5465

95.6/47.8

50

Rauch 3,0 t spreader,
working width 18 m

350

1.3

Mineral fertilisation in
spring 2011, N

e 90; P

2

O

5

e 30; K

2

O

e 60 kg ha

-

Liquidation of

plantation

New Holland
TM 175 HP

7150

128.6/90.0

70

Rototiller FV 4088,
working width 40 cm

1160

6.0

Breaking up larger
rootstocks along rows

Harvesting

Claas Jaguar
830

10,150 236.0/212.4

90

e

e

1

e4*

*Depending on the yield
of a given cultivar,
average productivity of
harvester 20 ton of chips
per hour

Field transport New Holland

TM 130 HP

5465

95.6/47.8

50

T 169/2 tractor
trailer, loading
capacity: 4 tons of
chips

1940

1

e4*

*To ensure continuity of
receipt of chips 3
transportation units
were used

b i o s y s t e m s e n g i n e e r i n g 1 2 3 ( 2 0 1 4 ) 1 9 e2 8

22

background image

inputs related to the use of machines, human labour and
tractors accounted for smaller parts of the energy stream.

The accumulated material and energy input for production

of willow chips in a three-year harvest cycle, including setting
up and liquidating the plantation, NPK fertilisation and the
application of herbicide against monocotyledons, were the

same for each cultivar (

Table 4

). The largest amounts of en-

ergy were consumed for mineral fertilisation (6.21 GJ ha

1

).

The range of values for energy input across cultivars resulted
from the plant harvest with a Claas Jaguar 830 harvester and
the field transport of the chips. The differences between the
cultivars were associated with their differing yields and the

Table 3

e Time and accumulated material and energy input for setting up and running a willow plantation (per ha) in the

first year of vegetation and for its liquidation.

Operation

Labour

Machinery

Tractors

Diesel fuel

Materials

Total

Input structure

Hour

MJ

Hour

MJ

Hour

MJ

kg

MJ

kg

MJ

MJ

%

Spraying (glyphosate)

0.3

18.0

0.2

46.4

0.2

11.4

2.04

87.8

4.00

386.50 550.07

2.7

Disking (2

)

1.6

96.0

1.4

111.7

1.4

79.7

17.96

774.1

e

e

1061.4

5.2

Winter ploughing

1.7

102.0

1.5

154.0

1.5

111.7

29.30 1262.9

e

e

1630.6

8.0

Fertilisation

0.5

30.0

0.4

9.1

0.4

22.8

4.07

175.5

300.0

4569.0

4806.4

23.6

Harrowing (2

)

1.2

72.0

1.0

34.3

1.0

56.9

11.20

482.7

e

e

645.9

3.2

Mechanical planting of cuttings

5.2

312.0

1.3

235.5

1.3

74.0

17.21

741.6

337.5

1026.0

2389.1

11.7

Spraying (soil-applied herbicide)

0.3

18.0

0.2

46.4

0.2

11.4

2.04

87.8

3.5

617.3

780.9

3.8

Weeding (2

)

2.2

132.0

2.0

74.8

2.0

91.9

14.06

605.9

e

e

904.6

4.4

Spraying with herbicide

against monocotyledon weeds

0.3

18.0

0.2

46.4

0.2

11.4

2.04

87.8

2.50

33.55 197.12

1.0

Liquidation of plantation

6.2

372.0

6.0

1531.2

6.0

446.9

117.21 5051.6

e

e

7401.7

36.3

Total

19.5

1170.0

14.2

2289.8

14.2

918.0

217.1

9357.6

647.50 6632.37 20,367.8

100.0

Per year of plantation

cultivation 1/21

S

0.93

55.71

0.68

109.04

0.68

43.72

10.34

445.60

30.83

315.83 969.9

e

Input structure (%)

e

5.74

e

11.24

e

4.51

e

45.94

e

32.56 100.00

e

Table 4

e Time and accumulated material and energy input for production of willow chips (per ha) in a three-year harvest

rotation depending on the cultivar, at the farm gate.

Cultivar

Operation

Human labour

Machinery

Tractors

Diesel

Materials

Total

Hour

MJ

Hour

MJ

Hour

MJ

kg

MJ

kg

MJ

MJ

For each

cultivar

Setting up and
liquidation of
plantation

2.8

167.1

2.0

327.1

2.0

131.1

31.0

1336.8

92.5

947.5

2909.7

NPK fertilisation

1.5

90.0

1.3

29.4

1.3

74.0

13.24

570.5

425.5

5446.8

6210.7

Spraying with
herbicide against
monocotyledon
weeds

0.3

18.0

0.2

46.4

0.2

11.4

2.04

87.8

2.5

33.6

197.1

Start

Harvesting

2.1

123.7

2.1

1743.3

e

e

105.1

4528.2

e

e

6395.1

Field transport

6.2

371.0

6.2

219.9

6.2

352.0

63.0

2713.2

e

e

3656.1

Total

12.8

769.8

11.8

2366.1

9.7

568.5

214.3

9236.4

520.5

6427.8

19,368.7

Tur

Harvesting

1.0

62.8

1.0

884.7

e

e

53.3

2298.1

3245.6

Field transport

3.1

188.3

3.1

111.6

3.1

178.6

31.9

1377.0

1855.5

Total

8.8

526.2

7.7

1399.3

6.7

395.2

131.6

5670.2

520.5

6427.8

14,418.7

Turbo

Harvesting

2.1

128.0

2.1

1803.7

e

e

108.7

4685.2

6616.9

Field transport

6.4

383.9

6.4

227.5

6.4

364.2

65.1

2807.3

3782.9

Total

13.1

786.9

12.1

2434.3

9.9

580.7

220.1

9487.6

520.5

6427.8

19,717.4

UWM 006

Harvesting

4.3

259.1

4.3

3652.7

e

e

220.1

9488.0

13,399.9

Field transport

13.0

777.3

13.0

460.8

13.0

737.5

131.9

5685.1

7660.7

Total

21.9

1311.6

20.8

4516.5

16.5

954.1

398.3

17,168.2

520.5

6427.8

30,378.1

UWM 035

Harvesting

1.5

89.9

1.5

1267.1

e

e

76.4

3291.2

4648.1

Field transport

4.5

269.6

4.5

159.8

4.5

255.8

45.8

1972.0

2657.4

Total

10.6

634.7

9.5

1829.9

8.0

472.4

168.4

7258.3

520.5

6427.8

16,623.0

UWM 043

Harvesting

3.5

210.6

3.5

2969.3

e

e

179.0

7712.8

10,892.7

Field transport

10.5

631.9

10.5

374.6

10.5

599.5

107.2

4621.4

6227.4

Total

18.6

1117.7

17.6

3746.8

14.1

816.1

332.5

14,329.2

520.5

6427.8

26,437.6

UWM 155

Harvesting

0.9

53.6

0.9

755.8

e

e

45.5

1963.1

2772.4

Field transport

2.7

160.8

2.7

95.3

2.7

152.6

27.3

1176.3

1585.0

Total

8.2

489.6

7.1

1254.1

6.2

369.1

119.1

5134.4

520.5

6427.8

13,675.0

b i o s y s t e m s e n g i n e e r i n g 1 2 3 ( 2 0 1 4 ) 1 9 e2 8

23

background image

consequent time of work of the harvester and the ancillary
equipment. Therefore, the total energy input in the three-year
cycle of the willow harvest ranged from 13.68 GJ ha

1

to

30.38 GJ ha

1

, for the UWM 155 and UWM 006 cultivars,

respectively. This can be compared to the energy input in the
extensive cultivation of willow as an energy crop without
fertilisation, weed control or irrigation, which was estimated
as 14.14 GJ ha

1

by

Vande Walle et al. (2007)

. Energy inputs in

the production of poplar biomass were 14.2 GJ ha

1

year

1

for

Manzone, Airoldi, and Balsari (2009)

, while those in the pro-

duction of miscanthus biomass, depending on the level of
nitrogen fertilisation, ranged from 17.82 to 27.39 GJ ha

1

year

1

for

Acaro

glu and Aksoy (2005)

.

The structure of the energy stream for production opera-

tions in the highest-yielding cultivars (UWM 006 and UWM
043) was dominated (over 60%) by the total input attributable
to harvesting and field transport (

Table 5

). On the other hand,

the largest part of the energy input for the lowest-yielding
cultivars (UWM 155 and Tur) was mineral fertilisation (over
40%). Similar relationships were observed in the energy
stream structure for these cultivars, which was dominated by
the inputs into fertilisers (42

e45%).

This part decreased in the highest-yielding cultivars and

was replaced by inputs of energy resulting from the con-
sumption of diesel fuel and the use of machines. A higher
yield required more intensive use of equipment and con-
sumption of fuel. For example for UWM 006 cultivar, the en-
ergy input of diesel fuel consumption accounted for 56.5% of
the total input and that of machines accounted for 14.9% of
the total input. The corresponding values for the UWM 043
cultivar were 54.2% and 14.2%. Also, the input of fertiliser use
was large and accounted for 20

e30% of the total input. In a

different study conducted by the present authors, the energy
stream in the production of willow chips was dominated by
the input of mineral fertilisation and fuels (

Stolarski, 2009

).

Moreover,

Heller, Keoleian, and Volk (2003)

reported that the

structure of energy carriers in production of willow biomass
was dominated by fuels (46%), followed by fertilisation (37%).
Therefore, replacement of mineral fertilisation by wastewater
sludge from local wastewater treatment stations and

introducing liquid renewable fuels, such as biodiesel, to the
process of willow biomass production could reduce the energy
input, resulting in an increase in the energy ratio of the pro-
duction of fuel from the plant species by as much as 40%
(

Heller et al., 2003; Keoleian & Volk, 2005

).

The total diesel fuel consumption (398.3 kg ha

1

) in the

process of willow chip production was the highest in the UWM
006 cultivar, whose yield amounted to 86 t f.m. ha

1

(

Table 6

).

The fuel consumption for the UWM 043 cultivar was lower by
nearly 66 kg ha

1

, with a yield of 70 t f.m. ha

1

. On the other

hand, the lowest consumption of diesel of 119 kg ha

1

was

recorded for the lowest-yielding cultivar, UWM 155.

4.2.

Energy ratio

The yield energy value at the farm gate in a three-year willow
harvest cycle ranged widely, from 138.8 GJ ha

1

in UWM 155 to

727.4 GJ ha

1

in UWM 006 (

Table 7

) and the energy gain at the

farm gate ranged from 125.2 to 697 GJ ha

1

, respectively. When

calculated per year of plantation use, it amounted to 41.7 and
232.3 GJ ha

1

year

1

, respectively. A high energy gain was also

achieved for the UWM 043 cultivar (186.3 GJ ha

1

year

1

). Ac-

cording to

Bo¨rjesson (1996)

, the mean net energy from willow

plantations in Sweden is approximately 170 GJ ha

1

year

1

.

This can be increased to over 200 GJ ha

1

year

1

by using

wastewater for irrigation of a plantation of willow (

Bo¨rjesson

& Berndes, 2006

). In another study, the energy value of the

yield obtained in two-year harvest cycle for Salix viminalis
ranged from 73 to 290 GJ ha

1

year

1

with the sludge dose of

0 and 300 kg N ha

1

, respectively (

Labrecque, Teodorescu, &

Daigle, 1997

).

Kwa

sniewski (2010)

reported that the energy

value of willow biomass in a three-year harvest rotation
amounted to 226 GJ ha

1

year

1

. On the other hand, the energy

value of poplar yield was 188 GJ ha

1

year

1

(

Manzone et al.,

2009

) and that of the miscanthus biomass, depending on the

level

of

nitrogen

fertilisation,

ranged

from

approx.

210

e231 GJ ha

1

year

1

(

Acaro

glu & Aksoy, 2005

).

The energy input and the yield significantly differentiate

the energy intensity of production per tonne of willow
biomass from different cultivars. It has been shown in this

Table 5

e Structure of accumulated material and energy input for production of willow chips in a three-year harvest

rotation, depending on cultivar, at the farm gate (%).

Item

Start

Tur

Turbo

UWM 006

UWM 035

UWM 043

UWM 155

By production operations
Setting up and liquidation of plantation

15.0

20.2

14.8

9.6

17.5

11.0

21.3

NPK fertilisation

32.1

43.1

31.5

20.4

37.4

23.5

45.4

Weed control

1.0

1.4

1.0

0.6

1.2

0.7

1.4

Harvest

33.0

22.5

33.6

44.1

28.0

41.2

20.3

Field transport

18.9

12.9

19.2

25.2

16.0

23.6

11.6

By energy stream
Human labour

4.0

3.6

4.0

4.3

3.8

4.2

3.6

Machinery

12.2

9.7

12.3

14.9

11.0

14.2

9.2

Tractors

2.9

2.7

2.9

3.1

2.8

3.1

2.7

Diesel fuel

47.7

39.3

48.1

56.5

43.7

54.2

37.5

Materials, including:

33.2

44.6

32.6

21.2

38.7

24.3

47.0

Seedlings

0.8

1.0

0.7

0.5

0.9

0.6

1.1

Pesticides

0.9

1.3

0.9

0.6

1.1

0.7

1.3

Fertilisers

31.5

42.3

30.9

20.1

36.7

23.1

44.6

Total

100.0

100.0

100.0

100.0

100.0

100.0

100.0

b i o s y s t e m s e n g i n e e r i n g 1 2 3 ( 2 0 1 4 ) 1 9 e2 8

24

background image

study that the lowest consumption of diesel fuel for the pro-
duction of 1 tonne of fresh chips at the farm gate was recorded
in the production of the UWM 006 cultivar (4.6 kg t

1

f.m.),

which amounted to 9.3 kg t

1

d.m. Consumption of diesel fuel

per tonne of dry matter of the UWM 043 cultivar was higher by
3%. The value was higher by 14% and 53% for the Start and
UWM 155 cultivars, respectively. The consumption of diesel
fuel per tonne of willow chips in this study was higher than
has been found in other studies. Very low fuel consumption
(3.0 l t

1

of willow chips) was achieved by

Goglio and Owende

(2009)

. In a study conducted by

Heller et al. (2003)

and by

Gonza´lez-Garcı´a, Mola-Yudego, Dimitriou, Aronsson, and
Murphy (2012)

consumption of fuel for willow chip production

amounted to 3.6 and 4.1 l t

1

, respectively. On the other hand,

the consumption of fuel in the production of chips from
poplar trees ranged from 6.4 to 7.5 l t

1

(

Wang et al., 2012

).

The energy intensity per tonne of fresh willow chips at the

farm gate was the lowest for the UWM 006 cultivar and it
amounted to 0.35 GJ t

1

f.m (

Table 7

). This value was only

around 0.03 GJ t

1

f.m. higher for the production of the UWM

043 cultivar. On the other hand, it was twice as great for the
low-yielding cultivars: UWM 155 and Tur. In different studies,
the energy intensity of willow chip production in a three-year
harvest cycle ranged from 0.30 to 0.61 GJ t

1

f.m. (

Stolarski,

2009; Kwa

sniewski, 2010

). Much lower energy intensity was

achieved in harvesting 5-year-old poplar trees (

Spinelli,

Schweier, & De Francesco, 2012

).

The energy ratio in the process of production of willow

chips at the farm gate varied depending on the cultivar (

Table

7

). It was the highest in UWM 006 (at 23.9), followed by UWM

043, Start, Turbo, UWM 035, Tur and was lowest for UWM 155
(10.2). The energy ratios of willow production found in other
studies have covered a wide range, from about 12 to over 50
(

Heller et al., 2003; Matthews, 2001; Stolarski, 2009

). Varied

levels of energy ratio in the production of willow biomass
result from differences in the preparation of the production
site and the use of mineral fertilisers and pesticides. Other
important factors include cultivars, planting density, the

harvest cycle and its technology, as well as the biomass yield.
Willow biomass yield may be diverse in successive harvest
rotations.

Heller et al. (2003)

report that subsequent harvest

rotations of willow biomass will give a higher yield by as
much as 30

e40% compared to the first harvest. However, our

multi-year studies have shown that this depends on multiple
factors and, in agricultural practice, an increase in yield is
indeed achieved in the second and third rotation of willow
harvest. However, the yield may decrease in subsequent
(4

e7) harvest rotations due to accumulation of diseases, pests

and plant loss; therefore, such a large increase is not always
achieved in subsequent harvest rotations. In consequence, it
was assumed in this study that mean biomass yield in sub-
sequent harvest rotations would be similar to the first har-
vest rotation, which is achievable in agricultural practice.
Obviously, any higher yield would result in better energy
intensity and energy ratio values. This study focused mainly
on an assessment of the effect of the choice of a cultivar on
these indexes and it showed that the effect of cultivar can be
very important, because the energy ratio at the farm gate in
the production of willow chips of the UWM 006 cultivar was
2.3 times higher than in the UWM 155 cultivar. Much higher
levels of energy ratio were achieved when harvesting 5-year-
old poplar trees (

Spinelli et al., 2012

). On the other hand, in

the studies by

Manzone et al. (2009)

, the energy ratio in

poplar production was 13, while in the production of mis-
canthus biomass this ratio was ranged from 7.72 to 11.79, at
200 and 0 kg ha

1

N of nitrogen fertilisation, respectively

(

Acaro

glu & Aksoy, 2005

).

Selected production effectiveness ratios for willow chips

at the biorefinery gate are shown in

Table 8

. Obviously, they

strongly depended on the distance that had to be covered in
biomass transport between the plantation and the bio-
refinery. The parameters were worse with increasing
transport distance. The total accumulated material and
energy input at the biorefinery gate ranged from 14.1 GJ ha

1

for UWM 155 cultivar at a distance of 25 km to 46.4 GJ ha

1

when chips of the UWM 006 are transported a distance of

Table 6

e The yield of fresh and dry matter and consumption of diesel fuel for the production of willow chips in a three-year

harvest rotation at the farm gate.

Item

Start

Tur

Turbo

UWM 006

UWM 035

UWM 043

UWM 155

Diesel fuel consumption (kg ha

1

)

214.3

131.6

220.1

398.3

168.4

332.5

119.1

Yield (t f.m. ha

1

)

41.2

4.4

c

20.9

1.6

e

42.7

4.9

c

86.4

4.9

a

30.0

4.2

d

70.2

8.7

b

17.9

0.8

e

Yield (t d.m. ha

1

)

20.3

2.5

c

11.0

0.9

e

20.3

2.5

c

42.7

2.5

a

15.1

2.2

d

34.5

4.3

b

8.4

0.4

e

Standard deviation;

a, b, c

.

Homogenous groups.

Table 7

e Selected efficiency indexes in the production of willow chips of different cultivars in a three-year harvest rotation,

at the farm gate.

Item

Start

Tur

Turbo

UWM 006

UWM 035

UWM 043

UWM 155

Energy inputs (GJ ha

1

)

19.4

14.4

19.7

30.4

16.6

26.4

13.7

Energy value of yield (GJ ha

1

)

344.6

191.6

341.5

727.4

259.7

585.4

138.8

Energy gain (GJ ha

1

)

325.2

177.2

321.8

697.0

243.0

559.0

125.2

Diesel fuel consumption (kg t

1

f.m.)

5.2

6.3

5.2

4.6

5.6

4.7

6.7

Diesel fuel consumption (kg t

1

d.m.)

10.6

11.9

10.8

9.3

11.1

9.6

14.2

Energy intensity (GJ t

1

f.m.)

0.47

0.69

0.46

0.35

0.56

0.38

0.77

Energy ratio

17.8

13.3

17.3

23.9

15.6

22.1

10.2

b i o s y s t e m s e n g i n e e r i n g 1 2 3 ( 2 0 1 4 ) 1 9 e2 8

25

background image

200 km. Therefore, in the last case, the biomass transport
consumed about 16 GJ ha

1

.

An increase in the transport distance resulted in an increase

in the energy intensity per tonne of chips (

Table 8

). When chips

were transported for 25 km, the energy intensity increased by
3

e7% compared to its value at the farm gate. A further increase

in the distance to 50 km meant an increase in the index by
7

e13%. When biomass was transported a distance of 100 km,

the increase ranged from 14 to 26%. The energy intensity in the
option with a transport distance of 200 km increased by 23

e53%

compared to its level at the farm gate.

Furthermore, the energy ratio for each cultivar decreased

significantly for each cultivar with increasing transport dis-
tance. When chips were transported the shortest distance, the
ratio decreased by 3

e6%. On the other hand, it decreased by

19

e35% with the longest transport distance (

Table 9

).

Goglio and Owende (2009)

also found the transport dis-

tance to be one of the most important factors affecting the
energy ratio. They showed that when chips were transported
up to 38 km, the energy ratio decreased by less than 8.3%.
When chips were transported for over 38 km, the ratio
decreased significantly (25.9%). A decrease in energy ratio with
increasing transport distance was also found by

Ahlgren et al.

(2008)

. Another important factor pointed out in other research

is the effect of the willow yield on the energy contained in the
yield and energy ratio (

Goglio & Owende, 2009

). With a yield of

10 t ha

1

, the energy ratio was 19.3, whereas with a yield of

14 t ha

1

it was 23.5. In our research we also found that the

choice of a cultivar for chip production is significant for the
amount of energy produced and the final energy effectiveness
of its production. The energy ratio for the highest-yielding
UWM 006 cultivar was 2.2 times higher on average than the
lowest-yielding UWM 155 cultivar.

5.

Conclusions

These findings clearly show that the choice of willow cultivar
is vitally important from the point of view of its energy in-
tensity and energy ratio in biomass production when pro-
ducing chips as feedstock for an integrated biorefinery. The
energy input at the stage of setting up a plantation and its
potential liquidation was the same for every cultivar. On the
other hand the yield of the cultivars in the three-year harvest
cycle significantly modified the total energy input for pro-
duction of willow chips (13.7

e30.4 GJ ha

1

). This was associ-

ated with the energy use of the harvester and the field
transport of the chips. The energy stream in the lowest-
yielding cultivars was dominated by the cost of fertilisers
(42

e45%) and in the highest-yielding ones it was dominated by

diesel fuel consumption (54

e56%). It was found that the

cultivation of high-yielding willow cultivars can lead to much
lower energy intensity in willow chip production (diesel fuel
consumption, energy intensity) and a higher energy ratio
compared to low-yielding cultivars.

As was expected, the distance of biomass transport to a

biorefinery significantly changed the energy effectiveness for
the production of willow chips. When chips were transported
for 25 km, the energy intensity increased slightly (by 3

e7%)

compared to its value at the farm gate. The energy intensity
for a transport distance of 200 km increased considerably (by
23

e53%) compared to its level at the farm gate. Furthermore,

the energy ratio for each cultivar decreased significantly for
each cultivar with increasing transport distance. When chips
were transported for the shortest distance, the ratio decreased
slightly (by 3

e6%). On the other hand, it decreased by as much

as 19

e35% with the longest transport distance.

Table 8

e Selected efficiency indexes in the production of willow chips of different cultivars in a three-year harvest rotation,

at the biorefinery gate.

Item

Transport distance (km)

Start

Tur

Turbo

UWM 006

UWM 035

UWM 043

UWM 155

Energy inputs (GJ ha

1

)

25

20.3

14.9

20.7

32.4

17.3

28.1

14.1

50

21.3

15.5

21.6

34.4

18.0

29.7

14.5

100

23.2

16.5

23.5

38.4

19.5

32.9

15.2

200

27.0

18.6

27.4

46.4

22.3

39.4

16.8

Energy intensity (GJ t

1

f.m.)

25

0.49

0.71

0.49

0.38

0.58

0.40

0.79

50

0.52

0.74

0.51

0.40

0.60

0.42

0.81

100

0.56

0.79

0.55

0.45

0.65

0.47

0.85

200

0.66

0.89

0.64

0.54

0.75

0.56

0.94

Energy ratio

25

17.0

12.8

16.5

22.5

15.0

20.9

9.9

50

16.2

12.4

15.8

21.2

14.4

19.7

9.6

100

14.9

11.6

14.5

18.9

13.3

17.8

9.1

200

12.8

10.3

12.5

15.7

11.6

14.9

8.3

Table 9

e Changes in the energy ratio (%) depending on the transport distance (0 km [ 100%).

Transport distance (km)

Start

Tur

Turbo

UWM 006

UWM 035

UWM 043

UWM 155

0

100.0

100.0

100.0

100.0

100.0

100.0

100.0

25

95.3

96.5

95.4

93.8

95.9

94.2

97.2

50

91.0

93.3

91.2

88.3

92.1

89.1

94.6

100

83.5

87.4

83.8

79.1

85.4

80.3

89.7

200

71.7

77.7

72.1

65.4

74.5

67.1

81.3

b i o s y s t e m s e n g i n e e r i n g 1 2 3 ( 2 0 1 4 ) 1 9 e2 8

26

background image

One of the project objectives was to achieve a 30% reduc-

tion of energy input in the particular processes. In the present
study, it was demonstrated that the willow cultivar chosen
affects to a very large degree the efficiency indicator values in
the production of lignocellulose biomass for an integrated
biorefinery. Therefore, the application of an appropriate wil-
low cultivar could allow a greater energy ratio of final product
production to be achieved. The results obtained will be helpful
in the assessment of the chip transport distance to a
biorefinery.

These data emphasise the key importance of the selection

of a willow cultivar for the production of willow chips and the
transport distance to a biorefinery for the energy intensity of
the production process and the energy ratio of the biomass
supplied. From a practical point of view, this study suggests
that UWM 006 and UWM 043 cultivars can be the most useful
source of lignocellulosic feedstock for integrated biorefineries.
Moreover, when choosing a location for a biorefinery, one
should take into account the fact that transporting chips to a
biorefinery for a distance of up to 50 km can generate a loss of
up to 10%, whereas when chips have to be transported for
200 km, the decrease in the energy ratio can reach 30%
compared to its level at the farm gate.

It should be emphasised that the obtained results should

be cross-referenced to similar climatic and soil conditions. For
willow plantations situated on better quality soils and fertil-
ised with wastewater sludge or digestate from a biogas plant,
the biomass yields could be higher and lead to potentially
better biomass production efficiency indicators. On the other
hand, willow biomass production on sandy soils with water
deficiencies could result in a reduction in yield and value of
biomass production efficiency indicators.

Acknowledgements

This research received funding from the European Union
Seventh Framework Programme (FP7/2007

e2013) under grant

agreement n

241718 EuroBioRef.

r e f e r e n c e s

Acaro

glu, M., & Aksoy, A. S. (2005). The cultivation and energy

balance of Miscanthus x giganteus production in Turkey.
Biomass and Bioenergy, 29, 42

e48

.

Ahlgren, S., Baky, A., Bernesson, S., Nordberg, A

˚ ., Nore´n, O., &

Hansson, P. A. (2008). Future fuel supply systems for organic
production based on Fischer

eTropsch diesel and dimethyl

ether from on-farm-grown biomass. Biosystems Engineering,
99(1), 145

e155

.

Boehmel, C., Lewandowski, I., & Claupein, W. (2008). Comparing

annual and perennial energy cropping systems with different
management intensities. Agricultural Systems, 96(1

e3),

224

e236

.

Bo¨rjesson, P. I. I. (1996). Energy analysis of biomass production

and transportation. Biomass and Bioenergy, 11(4), 305

e318

.

Bo¨rjesson, P., & Berndes, G. (2006). The prospects for willow

plantations for wastewater treatment in Sweden. Biomass and
Bioenergy, 30(5), 428

e438

.

Bridge 2020, B. (2014). Biobased industries consortium. Retrieved 23/

02/2014, from

http://bridge2020.eu/about/about-bbi

.

Carroll, J. P., & Finnan, J. (2012). Physical and chemical properties

of pellets from energy crops and cereal straws. Biosystems
Engineering, 112(2), 151

e159

.

Carroll, J., & Finnan, J. (2013). Emissions and efficiencies from the

combustion of agricultural feedstock pellets using a small
scale tilting grate boiler. Biosystems Engineering, 115(1), 50

e55

.

EuroBioRef. (2013). Retrieved 22.10.2013, from

http://eurobioref.

org/index.php/about-eurobioref

.

European Commission. (2012). Joint technology initiative in the field

of bio-based industries.

e Roadmap. Retrieved 23/02/2014, from

http://ec.europa.eu/smart-regulation/impact/planned_ia/
docs/2013_rtd_007_biobased_industries_en.pdf

.

Goglio, P., & Owende, P. M. O. (2009). A screening LCA of short

rotation coppice willow (Salix sp.) feedstock production
system for small-scale electricity generation. Biosystems
Engineering, 103(3), 389

e394

.

Gonza´lez-Garcı´a, S., Mola-Yudego, B., Dimitriou, I., Aronsson, P.,

& Murphy, R. (2012). Environmental assessment of energy
production based on long term commercial willow plantations
in Sweden. Science of The Total Environment, 421

e422(0),

210

e219

.

Heller, M. C., Keoleian, G. A., & Volk, T. A. (2003). Life cycle

assessment of a willow bioenergy cropping system. Biomass
and Bioenergy, 25(2), 147

e165

.

IBMER (2007). Catalog of agricultural machines. IBMER, Warsaw

(cd-rom).

IEA. (2012). Key world energy statistics 2012. Paris: International

Energy Agency

.

IPCC. (2013). Climate change: The physical science basis. New York:

Cambridge University Press

.

Keoleian, G. A., & Volk, T. A. (2005). Renewable energy from

willow biomass crops: life cycle energy, environmental and
economic performance. Critical Reviews in Plant Sciences,
24(5

e6), 385e406

.

Kwa

sniewski, D. (2010). Energy efficiency of biomass production

from a 3-year-old willow (in Polish). In

_zynieria Rolnicza, 14(5),

113

e119

.

Labrecque, M., Teodorescu, T. I., & Daigle, S. (1997). Biomass

productivity and wood energy of Salix species after 2 years
growth in SRIC fertilized with wastewater sludge. Biomass and
Bioenergy, 12(6), 409

e417

.

Manzone, M., Airoldi, G., & Balsari, P. (2009). Energetic and

economic evaluation of a poplar cultivation for the biomass
production in Italy. Biomass and Bioenergy, 33, 1258

e1264

.

Manzone, M., Bergante, S., & Facciotto, G. (2014). Energy and

economic evaluation of a poplar plantation for woodchips
production in Italy. Biomass and Bioenergy, 60(0), 164

e170

.

Matthews, R. W. (2001). Modelling of energy and carbon budgets of

wood fuel coppice systems. Biomass and Bioenergy, 21(1), 1

e19

.

Neeft, J., Gagnepain, B., Bacovsky, D., Lauranson, R.,

Georgakopoulos, K., & Fehrenback, H. (2011). Harmonized
calculations of biofuel greenhouse gas emissions in Europe.
Retrieved 25.10.2013, from

http://www.biograce.net

.

Spinelli, R., Schweier, J., & De Francesco, F. (2012). Harvesting

techniques for non-industrial biomass plantations. Biosystems
Engineering, 113(4), 319

e324

.

Stolarski, M. (2009). Agrotechnical and economic aspects of biomass

production from willow coppice (Salix spp.) as an energy source (in
Polish) (Habilitation). Olsztyn: University of Warmia and
Mazury in Olsztyn

.

Stolarski, M. J., Krzyzaniak, M., Waliszewska, B., Szczukowski, S.,

Tworkowski, J., & Zborowska, M. (2013). Lignocellulosic
biomass derived from agricultural land as industrial and
energy feedstock. Drewno, 189, 5

e23

.

Stolarski, M. J., Szczukowski, S., Tworkowski, J., & Klasa, A. (2013).

Yield, energy parameters and chemical composition of short-

b i o s y s t e m s e n g i n e e r i n g 1 2 3 ( 2 0 1 4 ) 1 9 e2 8

27

background image

rotation willow biomass. Industrial Crops and Products, 46(0),
60

e65

.

Stolarski, M. J., Szczukowski, S., Tworkowski, J., Wro´blewska, H.,

& Krzy

_zaniak, M. (2011). Short rotation willow coppice

biomass as an industrial and energy feedstock. Industrial Crops
and Products, 33(1), 217

e223

.

Stolarski, M., Szczukowski, S., Tworkowski, J., & Klasa, A. (2008).

Productivity of seven clones of willow coppice in annual and
quadrennial cutting cycles. Biomass & Bioenergy, 32(12),
1227

e1234

.

Szeptycki, A., & Wo´jcicki, Z. (2003). Technological development and

energy inputs in agriculture till 2020 (in Polish). Warsaw: IBMER

.

Tworkowski, J., Kus, J., Szczukowski, S., & Stolarski, M. (2010).

Productivity of crops cultivated for energy purposes (in Polish).
In P. Bocian, T. Golec, & J. Rakowski (Eds.), Nowoczesne

technologie pozyskiwania i energetycznego wykorzystania biomasy
(pp. 34

e49). Warsaw: Instytut Energetyki

.

Tworkowski, J., Szczukowski, S., & Stolarski, M. (2006).

Productivity and calorific value of willow (Salix spp.) biomass
in relation to selected agronomical factors. Alternative Plants
for Sustainable Agriculture, 5, 45

e50

.

Vande Walle, I., Van Camp, N., Van de Casteele, L., Verheyen, K.,

& Lemeur, R. (2007). Short-rotation forestry of birch, maple,
poplar and willow in Flanders (Belgium) II. Energy production
and CO

2

emission reduction potential. Biomass and Bioenergy,

31(5), 276

e283

.

Wang, Z., Dunn, J. B., & Wang, M. Q.. (2012). GREET model short

rotation woody crops (SRWC) parameter development.
Retrieved 25.10.2013, from Argonne National Laboratory
website:

greet.es.anl.gov/files/greet-SRWC-Development

.

b i o s y s t e m s e n g i n e e r i n g 1 2 3 ( 2 0 1 4 ) 1 9 e2 8

28


Document Outline


Wyszukiwarka

Podobne podstrony:
Wartość energetyczna SRWC Stolarski et al 2015
Review Santer et al 2008
Arakawa et al 2011 Protein Science
Byrnes et al (eds) Educating for Advanced Foreign Language Capacities
Huang et al 2009 Journal of Polymer Science Part A Polymer Chemistry
Mantak Chia et al The Multi Orgasmic Couple (37 pages)
5 Biliszczuk et al
[Sveinbjarnardóttir et al 2008]
II D W Żelazo Kaczanowski et al 09 10
2 Bryja et al
Ghalichechian et al Nano day po Nieznany
4 Grotte et al
6 Biliszczuk et al
ET&AL&DC Neuropheno intro 2004
3 Pakos et al
7 Markowicz et al
Bhuiyan et al
Agamben, Giorgio Friendship [Derrida, et al , 6 pages]
Gao et al

więcej podobnych podstron