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References. AEB91, Anuario Estatistico do Brazil (1991) IBGE, 51:1-1024, Rio de Janeiro, Brazil. Ahmed, K., (1993) Renewable Energy Technoloeies: A Review of Status and Costs. World feank, Washington, DC. Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing, 1989. Alexander A.G., (1985) The Energy Cañe Alternative, Sugar Series, Vol 6., Elsevier, Amsterdam. Alpert S.B., Spencer, D.F., Hidy G., (1992) Biospheric Options for Mitigatins Atmosphenc Carbón Dioxide Levéis. Energy Conver. and Mgmt. 33 (5-8):729-736. Anón. (1993) Guidelines, "Shell/WWF Tree Plantation Review," SIPC/WWF, 1993. Barren S., (1991) Global Warmine: the Economics of a Carbón Tax.in Ed. Pearce D., Blueprint 2: Greening the World Economy, Earthscan Publ., London. P31-52. Barros N.F Nováis R.F., (Eds), (1990). Relacao Solo-Eucalipto, Universidade Federal de Vicosa, Vicosa, MG. Brazil. 328 pp. Bazett M.D., (1993) Industrial Wood, Study No.3, Shell/WWF Tree Plantation Review, SIPC/WWF, 1993. Bekkering T.D., (1992) Using Tropical Forests to Fix Atmospheric Carbón: The Potential in Theory and Practice. Ambio 21(6):414-419 Betters, D.R., Wright, L.L., and Couto, L. (1991) Short Rotation Woody Crop Plantations in Brazil and the United States. Biomass and Bioenergy. 1:305-316, 1991. Beyea J., Cook J Hall D.O., Socolow R.H., Williams R.H., (1992) Towards Ecological Guidelines for Large-scale Biomass Energy Development, report of a worksnop for engineers, ecologists and policy-makers convenea by the National Audubon Society and Princeton University, May 6, 1991; National Audubon Society, New York. Birdsey R.A., (1992) Changes in Forest Carbón Storage from Increasing Forest Área and Timber Growth. in Forests and Global Change: Volume 1. Eds., Sampson R.N., Hair D., American Forests, P.O. Box 2000, Washington, DC 20013. pp. 23-39. Bolton J R, Hall D O., (1991). The Máximum Efficiency of Photosynthesis, Photochemistry and Photobiology. 53: 545-548. Box, E.O. and Meetemeyer, V. (1991) Geographic mpdelling and modern ecology, ín G.Esser and D. Overdieck, eds., Modern ecology: basic and applied aspects, 773-804, Elsevier, Amsterdam. British Petroleum (1991). B P Statistical Review of World Energy, The British Petroleum Co. Pie, London, U.K. Brown S, Gillespie A J R, Lugo A E., (1991). Biomass in Tropical Forests of South and Southeast Asía. Can. J. For. Research. 21: 111-117. Brown L.R., (1992) World Grain Takes a Spíll. World Watch 5(3):35-36. BUN (Biomass Users Network) and Skills Centre (1991), Biomass Energy Use datábase, Kings College London, London, W8 7AH. BUN. (Biomass Users Network) (1992) Forest Aericulture: The Thai Way. Newsletter 6(2):¿-9, P.O. Box 1800-2100, Guadalupe, Costa Rica. 71
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Page 1: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

References.

AEB91, Anuario Estatistico do Brazil (1991) IBGE, 51:1-1024, Rio de Janeiro, Brazil.

Ahmed, K., (1993) Renewable Energy Technoloeies: A Review of Status and Costs.World feank, Washington, DC.

Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of theFAO/ESCAP/UNDP Regional Training Worlshop, Beijing, 1989.

Alexander A.G., (1985) The Energy Cañe Alternative, Sugar Series, Vol 6., Elsevier,Amsterdam.

Alpert S.B., Spencer, D.F., Hidy G., (1992) Biospheric Options for MitigatinsAtmosphenc Carbón Dioxide Levéis. Energy Conver. and Mgmt. 33 (5-8):729-736.

Anón. (1993) Guidelines, "Shell/WWF Tree Plantation Review," SIPC/WWF, 1993.

Barren S., (1991) Global Warmine: the Economics of a Carbón Tax.in Ed. Pearce D.,Blueprint 2: Greening the World Economy, Earthscan Publ., London. P31-52.

Barros N.F Nováis R.F., (Eds), (1990). Relacao Solo-Eucalipto, UniversidadeFederal de Vicosa, Vicosa, MG. Brazil. 328 pp.

Bazett M.D., (1993) Industrial Wood, Study No.3, Shell/WWF Tree PlantationReview, SIPC/WWF, 1993.

Bekkering T.D., (1992) Using Tropical Forests to Fix Atmospheric Carbón: ThePotential in Theory and Practice. Ambio 21(6):414-419

Betters, D.R., Wright, L.L., and Couto, L. (1991) Short Rotation Woody CropPlantations in Brazil and the United States. Biomass and Bioenergy. 1:305-316, 1991.

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_ .IRiS

5,021

Í¡ III IV V VI VIIPRESENT COMMEFCIAL ENERGY CONSUMPTION 11968)

COAL OIL GAS NUCLEAR HYOFO

(MTOE) (MTOE) (MTOE) (MTOE) (MTOE)

746 630 222 12 66

71.4 7 2 . 1 28.1 0.3 3.3

5.7 94 .0 28.0 0.0 3.0

15.6 107.5 48.0 0.5 2 6 . 7

653.4 354.2 117.8 1 J - 6 33.1

0.1 2.3 0.0 0.0 0.1

1,309 2,202 1,375 397 323

505.7 867.1 516.6 160.1 132.3

331.3 69?. 1 262.3 151.0 106.9

358.27 378.84 537.97 42.50 56.00

76.3 229-5 39.2 43.4 18.3

_3L_7°____3_4.- 30 18 • 50 P - PP— -9 • 3-°-

2,056 2 032 1,597 409 369

TOTALCONS.

- tPJ)

70 , 430

7,363

5,488

8,328

49, 146

105

235,456

91,636

64,832

57,690

17,106

4ji_92_

305,885

VIII IX XFUELWOOO BIOMASS 3IOMASS

finduding (ALL (ALLCHAnCOAL) FORMS) FORMS)

*FAO- Tab 10* -SSH"(PJ) (PJ) (PJ)

15,730 42,631 47 ,950*

4,481 9,160

504 868

2,419 2,858

8,263 29,689

62 56

2,895 7,312 7,860*

1,319 4 ,027

609 1,527

930 1,720

6 6

31 31

18,625 49,943 55 000*

XI XII XIII XIV ~JÍVTOTAL PRESENT ENERGY

CONSUMPTIONFUELWOOOCOMMERC.

(VlItVlll)

(PJ)

86,160

11,845

5,992

10,748

57,409

167

238,351

92,955

65,441

58,620

17,112

4,223

324,511

BIOMASS tCOMMERC

(Vil. 1)0(PJ)

113,061

16,524

6,355

11,186

78,835

161

242,768

95,662

66,359

59,411

17,112

4,223

355,829

TOTAL AVERAGE PER CAPITAENERGY CONSUMPTION

GJ/cap GJ

'(Xl/l)*FAO* «Sí

cap GJ/cap(XJI/I)

,H* *Tab.lO*

23 36* 30

20 28

42

38

20

29

45

10

28

2fi

200 218* 203

345 355

132

207

135

216

134

210

135

216

65 80* 71

xvr XVTI XVIIIFUELWOOD or BIOMASS

% TOTAL ENERGYCONSUMPTICN

FW*FAO*

18

38

a

23

14

37

1.2

1.4

0.9

1.6

0.04

0 . 7 _

6

BIO•34 H*

*8UN*

(43) 35*

( 77 )

(16)

(31)

( 4 2 )

-

3*

-

'

14*

BIO*Tab.lO*

38

55

14

26

38

35

3

•1

?

3

0

1

14

COÑS. ^ CONSUMPTION FW = FUELWOOD () - BUN estímate SÍH = Scurlock & Hall {1990}•Scurlock & Hall eeUmalelnTheContributionof Biomass lo Global Ener(* Uwi" BIOMASS 21:75-81.1990.

-Th(y «rlim(iteC)<vpJn(>nacojntri(K irw36. DeMBloped 218 S Woild 80 GJ/capHa anj Ova biomass prcvktee35%. 3% * 14% ofthe Workta energy feapBdtvety.O' BUN dala ooly (rom 55coiíitnca (see»ource5)

ASSUMPTIONS: I TainaotOilEqulwalBnl(TC€) = «GJ: 1 GJ = 10-9 joules; BIOMASS/FUEl.WCOD ^ 15 GJA (alrdry Sm, moiEtirFueíwoodlFW) Inlhis labia te equivalen! to Ihe F AOs doíinHion ot TunlwocKl t Ctmrcoel"; noothef forms of tíomass use aie eatímatod.

Nota* DINDUSTRIAUSED ASIAislotalforJapant Israel ONLY2)INDUSTRIAUSED OCEANIA te to(a( for Australia 4 New Zealand ONLY-HYDRO = HYDRO t GEOTHERMAL forh/droand nuclear elalistics inginnal leíate may noí ettf aa dala souroe dd nol provlde a comprehenslve brW'dtwn fc< all counlri*».

-Cd. I; 1987 PopJation data from FAO AGROSTAT daabeoe (1990)-Cd. II-VII: Condensed individual oountry dala fiom vattous BOUICW ÍP:

(UN3O),UN Slalislictií Orüoe. "EnenW BnlanoBs ard TledHcily Pnfilea 198ft- NY. (DevdopinaCourtry Commerdat Energy Data)UN. "Eneroy Statisllcs Yearbooh, 1987,' NY. (Oauelnping Couotry Commerclal Enerny Dala)

BP, "SlaísficBlHevIewot World Ef*Tjy, 1990," london. pWestorn Europa USSR, N.AmericaandJapanCommerctBl Eneroy Drfa)OECD/IEA. "World Rnsrcy Stati5lif« and Balancm. 1985-1988," País. (Eaalem turcpe and Ismel Commerclal Counlry D»lal

Cd. VIII: FUELWOCO = TueNrood t CharcoaT (noolhBf forma rf b*xiafis eneran use am ttcountedfcr undet Ihls dfflnitiqn) as ris'iriedby:(FAQ, Food and Ag-leJlurB OrflaniBrfiQn; 'ftjrtet Producía Yoartxx* 1989.' Romo. (Fuelwoor! UBedatí")

Cd IX show? regional SJjmmariesdcouril'y by country Idal bioma^s ervrcn use Incliries data O^ncrlindGpenrlenllyrrom the FAO/UN (s«e Jttfo 10.)-Cd. X: TdatbiomaBsene>oy LBB darvad fren Scurlock « Hall (1990):

Scurkxk J.M O , Hall OO.. (1990) TneConlributknd Btomoss loGlobel Cneroy Ltea." BIOMASS PS-75*1.-Cdumn Xl= Cd. Vil * Col. VIII.-Cd. XII = Cd. Vil . Col. IX (BBB lable 10)-Cd. XlllloXV;P«capilaenergy «jnsumptioncalculatedfrom the eetimeíed totBÍ hiomass and commefcial Bnwgy conemptioo ctvided by the 1987 popul«lton («ate. SSH par capí»«reumrtkmisnd<<ifcJ*ríiB¡ngpc(iutatk^HrKlcomm^ as IheGommerdafeneígy dfÉabaseispdbythem (¡e HP) cannd bed«Qreggal*if fÉ th»counlry l»wlBP fBQknaf estímales fct commercial snnroy consumpHcn ere nkjher thon shown horp-Cd. XVI toXVIll: The peroer(aoecortrit"J'on d biomass eoefgy totoíaí andrgy consumction te cdüjaled L8>ng-Cd.XVII: BUN dala hasbeena3ltectedfbr55developingcountnaeonly, 9owt«

re. Kings CdtefR London [s«>nJfloScurlocli « HaJI. 1990. above)

Page 10: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Tnwlo 2. FUTURE LAND AVAJLABILITY FOR BIOMASS ENERGY & FOOD DASED ON FAO-AEZ DATABASE. REGIONAL SUMMARY

Ih* n»-gio™«l pWpnlinl ten bio^nw produclion m a numbe' & drveloping tountres using cnty ttiat if»id definid by (he TAOlo besutahl» 'oí ngi>cutluie nnd tTPílry as determinad by physical. wBtpr nnd social constraints (see loo(ric<e"0 Yirtds oT

10 W -o nre "d npr.f."-.--!.' 'palistt cxi aC land bul tve c^O6»"i lo'ep'psenl a convenípnl global midpo«il to> bimass pfoduction on a 'arge scale in the MUIP, ¡n pr«clic* yietds of less Bian 1 tomtxelhan 30 Wi*"y aie pfese"tly expefienced

REGIÓN

(1 12counU»os Tolal)

'DEVELOPING

ÁFRICA

IATIN AMERICA

C AMERICA

S AMERICA

*ASIA( CHINA)

TOTALLAÑOÁREA

(Mha)

6.448

2.935 5

2.0165

2648

1.751.7

1.495.6

TI r TVFORESTS CROP PASTURE

& LANDS (PERM-WOODLANDS ANENT)

(000 ha) (000 ha) (000 1«)

1.995.501 724.082 1,546.015

602.561 200.276 74a 180

961.273 179,441 570.752

65.605 37,868 94.002

095,668 141,573 476,750

351,667 344,365 233,083

VFORESTA

CROPtPASTURE

LAND

(Mha)

4.266

1.360

1.702

195

1.507

945

VI Vil VIII IX X XI"TOTAL POTENTIAL" AGRICULTURAL LAND

FAOAEZ CLASSIFEDLOW UNCER. GOOO PROBLEM NATURAL TOTAL

RAINFALL RAINFALL RAINFALL LAND FLOODED('000 ha) ('000 ha) ('(XX) ha) ('000 ha) ('000 ha) (Mha)

108.412 297,161 547.343 1.452.016 313.785 2.719

57.219 156.765 268.767 486.060 121.105 1.090

11.044 54.935 lfíO.402 762.237 131.342 1,159

1.048 16.141 28,003 46.772 8.754 101

10.796 38.794 170.319 715,465 122.586 1.050

39.349 85.461 80,174 203,719 61,338 470

XIIPRESENT

ENERGYCONS.

(inc FW)(PJ)

53.746

12,055

16.024

5.998

10.BPG

24,867

XIII XIV XV XVICROPLAND "REMAINING lOVha. %REOUIRED LAND" BIOMASS ON PRESENT

BY (col.Xt- "REMAIN1NO ENERGY2025" cd XIII) LAND" CONS

(Mha) (Mha) (PJ) UMPTION

1 .086 1 .633 244,889 45T.

300 790 118.425 902

-;"- 269 090 133.440 793

57 ' 44 6.599 110

212 846 IZC.fi'JO 1.172

517 -47

* doos not include China CONS. = Consumptkxi FW = Fuehwood and Chafcoal only

NOTES: "TOTAL POTENTIAL" Land is delined hy the FAO as land which is phsicaBy capable oí crop poduclbn wühin soü and waleí conslrainls II exckjdos land which is loo steep. dry or with unsiiilabio soih.**-IPCC III, calcúlales ttiat demand lor cropland in developing counlríes will increase by 50% by tlie year 2025. Presen! cropland a/ea (col III) Ifom the FAO "Production

Yearbook, 1909." is Ihorelore increased by 1.5 limes to grve lulure ükety land área under cultwation

The regional cla^síications used here miss a total of SOrountries irtcHiding China South África arid muchd Ihe Carribbean wliosecombined populalion is oveí one [«Ilion peopleChina ís not incliicted ¡n tho devebping country tolab.Ttiis Iniílo highligtiLs the noed lor detailed local level data and tl>e benelit ri groator disaggregation oí global data collection. A direct comparisono( Ihe FAO's "Production Yea/book. 1989," land dassrlication (Col V) and their new "AEZ. Agriculture Towards 2010. 1992," inventory (Col XI) stiows modoiation of ptodicledland tequiremenls for biomass eciergy. Thus iBÍng Col V dala & assuming a 10 vba yield would piovide Botswana with over twenty limes Iheii pfesetitenergy requiremonL However. il Col.XI data is used Ihe figure Jrops to a lar more roafetic tevel of ahout one fith present energy requirements iONLY "good^ land is used In some countries, howfver. notabry India and Bangladosh. piodictions for potential biomass siippV come weí below recordedvalúes eg. Bangladesh ncw obtains about 80% of ils presen! suppry fiom biom ass and India abolir 50% cf 28 & 25% (or respective pretJictod víilues. This

is due to the high level oí agricultiiral residuo use which domínales Ihe domeslíe suppry scene.Tire negative land aren of 47 Mha lor Asia (-CNna) assumos no increases in productrvüies to tho yoar 2025 as il is onry a Irnaar exlra[x)lalion d oxisting lood ptodix:1ion tronds

In India for exarn pie. thRreaieoxIensive áreas of dogr.-.dedlanci (150 Mln) v/hich could beproiluclivolor biom ass growth givenapproprKilo poücies

ASSUMPTIONS: 1 Tonrjoof Oil(TOE) = 42 GJ. 1 GJ = 10'9 joulesBIOMASS/FUELWOOD = 15 GJA (air dry 20% moisture)

SOURCES- Cote 1 V Itom FAO. "Production Yonrbook. 1909 " RomeCROPLANO = Arable & Permanent CroplarKl. FORESTS A WOODLANOS = Forests & Woodlands. PASTURE - Permanenl Paslure (FAO delkiitions, 1990)

Cote. VI-XI; data (rom FAO, (1992) "AEZ; New Inventory, AT2010" Fisctter G , & van Veltliuizen K, Ftome.-"Tolal Polential" agricultiiral land definitbn (see above)

Col XII. Total presen! energy use; commercial + Fuolv.'ood ONLY (FAO. "Foresl Producís Yearbook. 1989." Roñe.)Col XIII; Cropland roquired by 2025. assumes a fO% increase in demand for cropland in Developing Coiintrips (ref. IPCC-MI) and no chango for

Industrialisedcounlries (llierefore. col III * 1.5)

Page 11: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Table 3 Sumrnary of biocoodimat. ic data

Idrnlificr

P r t r o l i n a , Pe

Tr ímladc , Pe

B r a m a d o , lia

Ouricaugas, Ba

Inh. imbnpc, Ba

Conde, Ha

Kdides daCunba., lia

Contcndns doSi n cora, Ba

( ' ; i r l i t . n , l ia

l i a n b a l l i a , C<;

Tií inpua, Ce

pncajus, Ce

Sonsa, Pb

¡jflCfltioil

Lat. Lon(>.(°S) r\V)

9.24

7.45

14.13

12.01

11.47

11.49

10.31

13.45

H.ÍM

7. 39

3.44

4:]0

G.45

Pedio A v n l i n o , RN 5.31

(n) vSmira1: Conlr»

Ib) C = Clny, U =

40.30

40.10

41 .40

38.37

38.21

37.37

39.01

41.02

.12.29

3!). 17

•10.59

38.28

38.14

36.23

Aun uníTcmp.ro26

26

22

24

24

24

24

22

22

21

2G

2G

2G

26

and yields for t r ia l planlations in Nortlienst Brazi).1

AnimalItain(mm)

500

700

1000

1500

1370 .

1250

500

700

1 100

650

1100

1 000 .

1000

500

Alti-tndc(ni)

200-500

500-1000

200-500

200-500

200-500

0-200

500-1000

200-500'-•

y-

Age ofS u i t f i b i l i f y ^ ] cxpcti- Pzak

Snil for V. 1 mcnt yictd(ypc* f<>rcstc Spccics'1 ; (yr) (mYha/yr)

S III E.

C i/iv /•;.S/C I/II ^ E.

s/c ii ;„ E.s/c ns nS/C I

C I

'"E.I E.

; ~ ' E.í E.i ''

-E.\

jooo-2000 s n/iv /•;.500-900

500-1000

0-200

200-500

0-200

S/C I

S 11— E.

E., E.

S I I I E.

IÍ/S IV E.

IÍ/S IV E.

cebra \ j 16.2

creba ¡ 6 ]'"' 24.2

/c/r/fcwiis i 5 | .. G2.5

dtjcziana { , 9 ' 89.8i;;c////a 7 -j 39.2

gra?idis ' 7 i J:. 61.9"* /t

cnmnlditl. 5 ' ,. 25. G

camaldiil. - 4 1 8.0

camaldu!. 5 i 60.8

tcrcticornis 5 . * — - 26.0

c/íroirf 3 ; ' 48.0Icrcticomis \ /

l>randis '' 5 , 98.3 •

carnaldut

camaldul _-

8 ^ 39.7

8 ]. ^ 5.9 . ;•

/\(I(?/Y1/,'Py i cid( inVbii /yr)

1 1 .

21.

48.

59

30

2

9

G

9

5

54.5

29.6

5.

45

9

2

18. n46.9

89

32

3

4

4.7. — , j,,-Nncinnnl do Florpstns, Empresa Brnsilcirn de Pcsquisn Af¡roprc\mrin.

f •

rocky, S - sniu ly . '-:.

(c) I - onpPCKiilv wdl-snil

(d) All ;irr spi'rics

í-'

wil.hin

\i

•ti tn Kupporl . trcc

ll(! {¡'MUÍS

•''

F,ticaly¡)t

• i -

írowth, II rr nvcrnj;o

na. Spndnjí »f Lrt'es

í (

*AÍ

-"' ^^ -j

•;f.RiiiLnbility, III = \isunblo witli rcstrícÜóns

in all triáis

- í -JJ• i i

• !.7\ '-.I

; •••

v/íis 3 by

. ' »

j, ' r

¡r

2 niottü'.s. ..;... ._,

- í - '

IV f cnnnnt be tisod f»r

^ ' ' " ,r -I!' :

' - U - N - < •• f • - '. T ;0 ¿ .; • ,;• i "t »• reí ¡ #

,i> i!-" -T 'T : jí ; ,;i t;;; T ;•'• • , ' • » ;!

' )

trccs

í

Page 12: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Table 4 Global Land Use 1882-1989.

Category

ArableLand

Grass-Land

ForestLand

OtherLand3

Totalb

1882

Mha

860

1,500

5,200

5,517

13,077

f í\u

6.6

11.4

39.8

42.2

100

1981

Mha

1,469

3, 172

4,090

4,346

13,077

(%)11.2

24.3

31.3

33.2

100

1989

Mha

1,477

3,304

4,087

4,208

13,077

(%)

11.3

1

25.3

31.3

32.2

100 1

Source: FAO Production Yearbooks 1982 & 1990."Other Land" includes, desert land, stony, rock and steep land in mountains

ice caps (polar regions).Does not include water covered land such as lakes, rivers and marshes.

Page 13: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Table 5 Potential Land For Reforestation.

Source Total AvailableÁreaMha

Comments

Houghton & Woodwell'(1989)

850 350 Mha of which "could be returnedto fores if permanent agriculturawere toreplace shifting cultivación

Grainger(1988)

758 2007 Total degraded tropical landárea of which available land área isestimated at:203 Fallow Forests137 Logged forests87 Deforested watersheds331 Desertified Drylands

Myersc(1989)

300 200 Mha "needs reforestation forreasons othei than the Greenhouseeffect.160 Mha of the 200 Mha above, fromupland watersheds which urgently needreforestation, the rest required aswoodlots.

Massoud(1979)

1,000.5 Based on UNESCO soil map of the world(1973), Massoud estimates the totalland área affected by soils byregión. Defínitions of the levéis ofsalt and its effect on plant growthare species and climate dependant andshould be treated with caution.

Alpert et ¿>1.(1992)

952 Estimated as the total área availablefor halophyte culture.125 Mha of the above is assumed to befeasible due to restirictions forsaline irrigation.

Sekkeringf(1992)

385(11 Tropicalcountries)

Theoretical land available in 11Tropical countries out of 117estimated to have excess landavailable when Forest área isconsidered as unsuitable, andagricultural land is also subtracted.

iKícenovic et al.*(1993)

265 84.5 Mha extra is considered asavailable for agroforestry,Global estímate, which distinguishesbetween land considered "suitable"and that which is llkely to be"availabla."

rces .ughton & Woodwell (1989)

RAINGER (1988) .rers (1989)tssoud (1979)Dert et al., (1992)

¡kkering, (1992)iXicenovic et al. (1993)rthesised by J.Woods.

.

Page 14: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Table 6

Land área in plantations3 (milüon he&ares)

Industrial planutions ofIndustrial plantations fast-growing tre€Sc

Non-Coníf. conif.

North AmericaUnited StatesSubtotal 12.0 0.5

EuropeSpainPortugalSubtotal 15.7 3.3

r\ 'OceaniaNew ZealandAustraliaSubtotal 2.1 0.1

FormerUSSR 16.9Latín America

BrazilChileArgentinaVenezuelaMéxicoOíherSubtotal 3.5 2.9

ÁfricaSouth ÁfricaAngolaCongo

J.-KenyaZimbabweOtherSubtotal 1.3 1.2

AsiaindonesiaChinaOtherSubtotal 31.6 8.2

Total 83.1 16.2

Total Coníf.

12.00d

72.5 /2.00

-

-79.0

1.180.90

2.2 2. 1316.9

1.60« í A1 . É •*

0.460.180.060.08

6.4 3.52

0.500.02

0.160.070.55

2.5 7.30

--

-3S.899.3 18.95

Non-coníf.

0.500.50

0.450.40O.S5

0.020.060.11-

2.30u.uQ

0.180.020.020.352.93

0.800.050.040.010.010.337.24

0.100.400.17

0.676.30

Total

12.5012.50

0.450.400.85

1.20

0.962.24-

3.901.200.64

0.200.080.436.45

1.300.070.040.17

0.080.882.54

0.100.40

0.100.67

25.25

* Bazett (1992)b Thí mdio/ity ai tr>t lemc^tale !«* pianialions Ifnd lom3 ocr hecure per ye»< arwj rcsaiion pf oJi of up lo 100 ye

C. Av^ragt ywWs fof lisl rowinq induílfUl pünuioiis jrerus spec-« (7 to U year fwantxw) and IS 10 25 m

d BofO^fline iaí1-q'o«nq (12 ir.3 p*r híGire pet

ing tre«. wi:n inaer*r.is o( in< Ofder of S lo 6

n^e 18 lo 30 m' p t f*cljr< per j^jr lo/ fi«^pP^ i*ar fo' P" ü3ip«i« (25 lo 35 ywr roialons).

Page 15: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

ABLE 7EVOLUTJON OF CHARCOAL CONSUMPTION IN BRAZIL

('000 m )

YEAR CHARCOALFROM

NATIVE FORESTS

CHARCOALFROM

PLANTEO FORESTS

TOTAL

1978197919801981198219831984198519861987198819891990

13,15,16,15,14,18,24,26,29,27,28,31,24,

317116866577929423597085049726563900355

88878581808283838281787166

1,2,2,3,3,4,5,5,6,6,8,12,12,

833184777654732087010501065624056903547

12131519201817171819222934

15,17,19,19,18,22,29,31,35,34,36,44,36,

150300644230660510607586114349619803902

Source: (ABRACAVE, 1990 & 1991)

Decree No.97.628 (of 12/4/89) reqired that the percentage oícharcoal to be obtained from plantations must be as follows:1989 = 40%1990 = 50%1995 = 100%However, the same decree allows the production of 20% of charcoalfrom forest residues and henee in actual practice the máximum amountof charcoal to be produced from plantations would not be over 80% oftotal, as from 1995 onwards.

Page 16: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Table 8 SOME USES OF BIOMASS RESIDUES.

Source

Coconut

NaturalForest

Pubber

HomeCarden

Tea

Palmy-rah

Cinna-™on

Type

Fuel-wood

Shells

Husks

Leaves

Fuel-wood

Charcoal

Fuel-wood

Fuel-woodShellsHusks

Leaves

Fuel-woodBiomass

Fuel-woodBiomass

Fuel-wood

Use asDomest-ic Fuel

Ironing

Cooking

Cooking

Cooking

Cooking

Cooking

IroningCookingCooking

Cooking

Cooking

Cooking

Cooking

Cooking

IndustrialUses

Bricks,til'es;Bakeries

Charcoal

BricksTiles.BakeriestearubbercoconuthotelsPig Iron

BricksTilesBakeriesTeaRubberCoconutHotels

Tea

-

Compete-tive EndUses

Construct-ion (15)

látex cups(20)

Fibre (20)Fertiliser(80)

Cadjans(20)

Poles (5)

Fertiliser(100)Cadjans(15)

Fertiliser(20)

ThatchingFencing(30)

Vegetablesticks (?)

Suitabil-ity forTransport

Good

Fair

fair

poor

Good

Good

Fair

PoorPoor

Poor

Fair

Poor

Good

Poor

Good

FutureAvailab-ility

Stable

Stable

Stable

Stable

Declining

declin-ing

Rising

RisingRising

Rising

Rising

Rising

Rising

Rising

Rising

Source: Howes (1989).Estimated percentage consumed by alternativo end use in parentheses

Page 17: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Table 9a . BIOMASS RESIDUE RESOURCES & LAND REQUIREMErJTS FOR ENERGY PROVISIÓN (35 & 70GJ/cap) IN DEVELOPING COUNTRIE5

The three main sources of residues are eslimated in terms of the total energy contení of potenliatty harvestable residues. Total eneigy use is compared with the energycontení of recoverable residues (1/4 of the potentially harvestable residues). Biomass yields of 10 t/ha/yr are not necessarily realistic on all land, bul ate chosen as aconvenient midpoint for biomass energy production on a large scale in the fulure; yields of less than 1 t/ha to more than 30 t/ha are presently experienced.

COUWTRY

DEVELOPINGÁFRICAGEN. AMERICASOUTH AME RICAASIAOCEANIA

WORLD

I II

POPULATION TOTAL LAND(1967) ÁREA

(miHions) ('000 ha)

3.828 7.645,094587 2,937,246142 264,660280 1.751.709

2.815 2,637,4206 54,056

5.021 13,005.173,

in * -TV~~~~V

ENERGY CONTENT OF POTEN TIAL

HAnVESTABLE RESIOUES

CHOP FOREST DUNG

(tO'6GJ)

21,510 16.671 13,3281,947 3,880 2,5281,283 563 G693,114 3,036 2,719

15.143 9,099 7,39023 93 21

38,038 35.473 19,623

~"VT

_Y

TOTAL

(10-6GJ)

51,5098,3552,5148,870

31,632137

93,135

Vil Vtll

PREÍSENT PRESENT

ENERGY PFR CAP

CONS ENERGY

(incFW) CONS

(1CT6GJ) (GJ/cap)

86,160 2311,645 205,992 42

10,748 3857,409 20

167 29324,511 65

IX X

TOTAL ENERGY CONS

IF GJ/cap USE IS

35 70

{ICT6GJ) (IO-6GJ)

133,984 267.96820.529 41,0584.960 9.9199,785 19,569

98.509 197.017202 404

175.749 351,498

xi _ " xir

% ENERGY USE(PrtESENT

Ofl 35 GJ/cap) PROV

IDEDBY25* RESIDUES

PRFSENT 3SGJ/CSP

15 1018 1010 1321 2314 821 177 13

"~xnr xiv

LAÑO NFFOF.O ron35 OJfcap <5>

iOt/>*Vy<

% LAND

(Mha) Área

693 12137 533 1265 4

657 251 2

1,172 9

" XV " "XVT

IANÜNEEDEDFOR35

GJ/cn|KÍ5 lOWiB

. 25% FlfcSIO

(35GJA;ap; % IAND

(Mha) Área

807 11

123 429 1150 3

604 231 2

1,016 8

See nexl page for footnotes

-

;a -r:r

Page 18: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

FOOTNOTES TO TABLE 9a:COLUMNSI & II data from FAO, "Production Yearbook, 1989," Rome.III-V total energy content of Potentially Harvestable residues estimatedfrom three major sources namely:

a) crop; residue coefficients are derivad from the ratio of By-product (Potentially Harvestable Residues) :Product (CommercialProduction data from FAO Production Yearbook 1989). Average valúes:Cereals (1.3; 12 GJ/t), Vegetables & Melons (1.0; 6 GJ/t), Roots &Tubers (0.4, 6 GJ/t), Sugar Beet (0.3, 6 GJ/t) and Sugarcane (0.55,16 GJ/t).b) forest; Potentially Harvestable residues are assumed to equalall residues generated during cutting and processing. For eachcountry total Cut is calculated as 1.67 times "RoundwoodProduction."(FAO Forest Products Yearbook, 1989). Residues ariseat the site of cutting are assumed to be 40% of Total Cut, and atthe milis, assumed as 50% of "Industrial Roundwood". [Globally,"Industrial Roundwood" and "Fuelwood + Charcoal" are each egual toabout half of "Roundwood Production." (15 GJ/t)], but such a ratiocannot be used at the country or regional leveí because of thecountry differences between cutting for fuelwood and forindustrial roundwood. Calculation of on site residues from thetotal cut are not possible in the case of use for fuelwood andcharcoal because of widely 'differing local practices; thus weassume a 40% residue from the total cut for both industrialroundwood and fuelwood + charcoal.c) dung; Animáis populations are derived from WRI,"WorJEd Resources;1990-91." Washington, D.C. 20006. Each category is assigned a dungproduction coefficient which estimates the average daily dry dungproduction for each type of animal (Taylor e£ al., 1982; SenelwaA,K, Hall D,0,. 1991) le. Cattle (3 kg d'1; 15 GJ/t), Sheep & Goats(0.5 kg d-1; 17.8 GJ.t), Pigs (O.ó kg d"1), Equines (1.5 kg d' 15GJ/t), Camels & Buffaloes (4.0 kg d"1; 14.9 GJ/t) and Chickens (0.1kg d'1; GJ/t). It is then assumed that 50% of total production isPotentially Harvestable. Recoverable Dung is then assumed to be25% of Potentially Harvestable Dung ie. l/8th of total production,dry weight.

VII Present commercial energy consumption is calculated usingFAO,"Energy Statistics Yearbook, 1989," . FAO's, Forest Products Yb.1989, is used for "Fuelwood + Charcoal." No attempt is made to estímateany other form of Biomass Energy use.VIII uses Col.VII to calcúlate Present per capita energy use.IX & X assumes total energy usage of either 35 or 70 GJ/cap/yr toestímate present and future total energy consumption for each country.70 GJ/cap is approximately twice the present energy consumption fordeveloping countries, and is predicted to occur in the next century.XI-XII show percentage of "present energy consumption" (col.VII)and"total energy consumption" at 35 GJ/cap (col.IX) which could be providedby 25% of recoverable residues alone.XIII-XIV indícate potential land use for biomass growth. A biomassproductivity of 10~ t/ha/yr is used to shov? the land área needed for eachcountry, to provide the energy requirements given in col.IX (35GJ/cap).XV & XVI shows land needed to provide 35 GJ/cap. using 25% of the ofpotentially harvestable residues and biomass growth @ 10 t/ha/yr.

Page 19: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Table9b. BIOMASS RESIDUE RESOURCES & LAND NEEDS FOR ENERGY PROVISIÓN (140 & 310 GJ/cap) IN INDUSTRIALISED COUNTRIES

The thfee main sources of residues are estimaled in lerms of the total energy contení of potentíalty han/estable residues. Total enetgy use is compared with the energy conteníof rocoverable residues (1/4 of potentially harvestable residues) as a fue!. Yields of 10 t/ha/yr are not necessarily fealistic on all land, bulare chosen to represen! a convenient global midpoint for biomass production on a large scale in llie future; in practice yields of less (han 1 t/ha to morethan 30 t/ha are presently experienced.

COUNTRY

INOUSTRIALISEDN. AMERICAEUROPEussnASIAOCEANIA

WORLD

I II III IV V Vi Vil VIII IX X XI XII

POPULAT TOTAL LAND

(1907) ÁREA

(miINons) (OOOha)

1,19327049528312620

5,021

5,360,0791,832.757

471,8162,227,200

39,7 14788,592

13,005,173

ENERGY CONTENTOR

POTENTIALLY HARVESTABLE RESIDUES

CROP FOREST DUNG(10'6GJ) (10'6GJ) (10'6GJ)

16,528 18,802 6,2956.598 8,789 1.5425,347 4.534 2,1123,568 '4.710 1.796

381 376 162635 394 682

38,038 35,473 19,623

TOTAL(10"6GJ)

41.62616,92911,99310.074

9191,711

93,135

PRESENT PRESENT

ENERGY GJ/cap

CONS.(inc FW) (inc FW)(10"6GJ) (10'6GJ)

238,351 20092,955 34565,441 13258,620 20717,112 135

L_ 4,223 216324,51 1 65

TOTAL ENERGY CON

SUMPTION@ 1400(310

GJ/cap/yr

(10-6GJ) (GJ/cap)

167,060 (140)83.563 (310)69,249 (140) \4 [ "

17,7042,735

702.996

% ENERGY USE(PRESENT

OR 140.310GJ) PROVI

DEDBY 25% RESIDUES

PRESENT 140. 310GJ

4 65 55 44 61 1

10 167 3

LAND REO D

140or 310 GJ/

® 101/ha

(Mha)

1.114557462264118

184,687

XIII XIV

FORcap

%LAND

ÁREA

21309812

2972

36

LAND REQ-D

1¿Oor3IOGJ/c

lOl/tia/yi *•

25% RESID.(Mlia)

1.044529442247116

154.531

XV

:OR

ap@

%LAND

APEA

19299411

2932

35

See nexl page for footnotes.

Page 20: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

FOOTNOTES TO TABLE 9b:

I & II data from FAO, "Productíon Yearbook, 1989, " Rome.TII-V show the total energy content of Potentially Harvestable residuesestimated from three major squrces namely:

a) crop; residue coefficients are derived from the ratio of By-product(Potentially Harvestable Residues) :Product (Commercial Productiondata from FAO Production Yearbook 1989). Average valúes (20% moisture,HHV's): Cereals (1.3; 12'. 77 GJ/t) , Vegetables & Melons (1.0; 6.38GJ/t), Roots & Tubers (0.4, 6.38 GJ/t), Sugar Beet (0.3, 6.38 GJ/t)and Sugarcane (0.55, 17.33 GJ/t, oven dry).b) forest; Potentially Harvestable residues are assumed to equal allresidues generated during cutting and processing. For each countrytotal Cut is calculated as 1.67 times "Roundwood Production."(FAOForest Products Yearbook, 1989). Residues arise at the site ofcutting are assumed to be 40% of Total Cut, and at the milis, assumedas 50% of "Industrial Roundwood". [Globally, "Industrial Roundwood"and "Fuelwood + Charcoal" are each equal to about half of "RoundwoodProduction." (15.96 GJ/t HHV, 20% moisture)], but such a ratio cannotbe used at the country or regional level because of the countrydifferences between cutting for fuelwood and for industrialroundwood. Calculation of on site residues from the total cut are notpossible in the case of use for fuelwood and charcoal because ofwidely differing local practicas; thus we assume a 40% residue fromthe total cut for both industrial roundwood and fuelwood + charcoal.c). dung; Animáis populations are derived from WRI/'fitorJd Resources;1990-91." Washington, D.C. 20006. Each category is assigned a dungproduction coefficient which estimates the average daily dry dungproduction for each type of animal (Taylor et al., 1982; Senelwa A,K,Hall D,0,. 1991) ie. Cattle (3 kg d~l; 15 GJ/t), Sheep & Goats (0.5 kgd'1; 17.8 GJ.t), Pigs (0.6 kg d'1), Equines (1.5 kg d' 15 GJ/t), Camels& Buffaloes (4.0 kg d-1; 14.9 GJ/t) and Chickens (0.1 kg d~l; GJ/t).It is then assumed that 50% of total production is PotentiallyHarvestable. Recoverable Dung is then assumed to be 25% ofPotentially Harvestable Dung ie. l/8th of total production, dry weight.

VII; Present commercial energy consumption is from BP, "Statistical Reviewof World Energy, 1990." FAO, "Forest Products Yearbook, 1989," forFuelwood and Charcoal use only. No attempt is made to estímate any otherform of Biomass Energy use by the FAO.VIII. Present per capita energy using Col.VII data.IX assumes total energy use of 140 or 310 GJ/cap. thus estimating presentand future energy consumption by country.X-XI show the percentage of eitner "present energy" use or energy use at140 or 310 GJ/cap (from cois. VII and IX resectively) provided by 25% ofrecoverable residues alone.XII-XIII indícate potential land use for biomass growth at a productivityof 10 t/ha/yr, to provide 140 or 310 GJ/cap (Col. IX). Col.XII shows totalland needed for each country, and XIII the percentage of total land área.XIV & XV uses 25% of recoverable residues and 10 t/ha/yr to provied 140 or310 GJ/cap., showing the total and percentage of each country's land árearequired.

Page 21: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

TABLE 10 ESTIMATED TOTAL ENERGY CONSUMPT1ON BY COUNTRY & REGIÓN 1 4

r AO frjei cna/coat consumpton data is comparer1 wrtf a total -jgness ccnsumpcon esomate tor each country

REGIONS/COUHTRIES

WORLD

INDUSTR1ALISED

N. AMERICA

EUROPEUSSR

ASIAOCEANIA

DEVELOPING

ÁFRICACEH. AMERICA

SOUTH AMERICAASIAOCEANIA

I

COMMERCIAL

(PJ)

305 ,885

2 3 5 , 4 5 6

91,6366 4 , 8 3 25 7 , 6 9 0

17, 1064,192

7 0 , 4 3 0

7 , 3 6 3

5,488

II III-UELWOOO SIOMASS

(includirig (ALUCHARCOALJ FORMS)

-FAO1"(PJ) (PJ)

18,625 49 ,943

2 , 8 9 5 7,112

1,319 4 ,027609 1,527930 1,720

6 631 31

15,730 4 2 , 6 3 1

4 ,481 9,160

rv vFUELWOOO + BIOMASS *COMMÉRCIAL COMMERCIAL.

(1*11) ¡Mil)ÍPJ) (PJ)

324,511 3 5 5 , 8 2 9

238 ,351 2 4 2 , 7 6 8

92 ,955 95 ,66265,441 66,35958 ,620 59,411

17,112 17,1124 ,223 4 , 2 2 3

36,160 113,061

11,845 16,524

504 8681 5 , 9 9 2 6,356

8 ,328 | 2,419 2 ,85849,146

1058 , 2 6 3 2 9 , 6 8 9

62 56

10,748 11,18657,409 78 ,835

167 161

VI vil VIII IXTOTAL AVERAGE PER CARITA

ENERGY CONSUMPTION

(IV/Popn. (V/popn. )

GJ/cap GJfcac

65 71200 203345 355132 134207 210135 135216 216

BiOMASS: % TOTALENEflGY

CONSUMPTiON¡II/!V) (III/V)

% %

6 141 31 41 22 301

23 301 18 3820 2 8 i 38 5542 4538 4020 . 2829 2 3

3 1423 2614 3837 35

INDUSTRIALISMO COUNTRIES

;N.AMER!CA

CANADÁÍJNITEO STATES

ÍEUROPE

ÍALBANIAÍAUSTRIAJ3ELGIUM-LUX¡BULGARIA•C ZSC HOSOLOVAKI AIOEMMARK

FiNLAND

FRANGEGERMANY

(GREECEpflJNGARY

jlCELAND

IRELANDITALY

ÍNETHERLANOS.NORWAY

fPOLANDi^ORTUGAL

ROMANÍA.SPAIN

JSWEGEN!SW!TZERIAND,MTEDKINGOOM

•YUGOSLAVIA

USÍA'SRAELLAPAN

OCEAN1A

>jSTRAL!A

AEW ZEALAND

10,328

81,308

1101,1172,129

7591,664

6051,0048,278

14,6099166 2 4

67370

6,380

3,1251,3902,329

504

73 5451,246 3 ,482

17 1727 100

6 619 016 0

5 8432 150

112 31546 8423 2332 34

0 00 46

48 1511 1

10 3240 40

6 ' 342,110 44 443,4902,3811,2058,732

934

20516,901

3,515676

DEVELOPING COUNTRIES

.ÁFRICA

ALGERIAANGOLAKNINBOTSWANA,3^RKINAFASO

•URUNOl'CAMEROON!CA?£ VERDE',CEN AfRiCANREPC-AO

COMQHOS

98019

513

62

770431

25 4047 230

9 92 46

41 41

6 00 6

31 311 1

19 27855 12847 5612 2633 127

•41 54106 139

0 533 3534 73

0 7

10,401 10,87382,554 84,790

128 1231,144 1,2172,135 2,135

777 7591,679 1,664

610 6891,035 1,1548 , 3 9 0 8,593

14 ,555" 14,693938 938657 658

67 67370 416

6 , 4 2 8 6,5313,126 3,1261,400 1,4222,369 2,369

510 5382,154 2,1543,515 3,5312 , 4 2 9 2,6121,215 1,2158,734 8,778

974 974

21216,901

3,546

677

999 1,25874 14852 6125 3839 13443 57

183 2165

37 3937 761 8

406 424338 348

41 41151 161208 208

87 85108 107119 134210 231151 154189 189

94 9462 62

273 273104 117112 114213 213335 340

63 6350 5294 9490 91

289 311186 186153 154

42 42

48 03 ,872 0

218 0206 0

Í3 558 16

12 1422 3311 16

9 1117 20

0 1513 14

1 52 4

14 142 80 02 01 01 123 131 40 12 25 50 00 111 20 01 22 21 62 21 12 91 10 14 4

30

10

2 2274 8790 9250 6793 9594 9658 64

39 9C7 14 921 15¡

Page 22: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

TABLE 10 ESTIMATED TOTAL ENERGY CONSUMPTION BY COUNTRY & REGiON 2/4

PAO tueiwooc * cnarcoal consumpnon data is comoared wiih a total btom mate tar eac^ ccontrv

REGIONS/

COUNTRIES

CONGO

COTE O'IVORE

DJ1BOUT1

EGYPT

EQUAT. GUINEA

ETHIOPIA

GABON

CAMBIA, TME

GHANA

GUINEA

GUiNEA-SlSSAU

KENYA

LESOTHO

LIBER1A

UBYA

WADAGASCAR

MALAWI

MALÍMAURITANIA

MAURfTJUS

MOROCCO

MOZAMBIQUE

NAMIBIA

NIGER

NIGERIA

REUNIÓN

RWANDASAO TOME PRN

SENEGAL

SIERRA LEONE

SOMALIA

SOUTH ÁFRICA

SUDAN

SW AZI LAÑO

TANZANIA

TOCOTUNISIA

UGANOA

ZAIflE

ZAMBtA

ZIMBABWE

GEN. AMERICAANTIGUA

BAHAMAS

BARBADOS

6EUZE

3ERMUOAVIRGIN IS.

CAYMAN IS

COSTA RICA

CUBA

DOMINICA

DOM1NICAN REP

EL SALVADOR

GRENADA

GUADELOUPE

GUATEMALA

HAJTI

HONDURAS

JAMAICA

MARTINtQUE

MÉXICO

MONTSERRAT

NICARAGUA

PANAMÁPUERTO RICO

S" K1TTS & NEV

¿A1NT LUCIA

ICOMMERCIAL

(PJ)

21

70

4994

13723

35613

267

-

9340

1286

4216

23213

-10

49-7

1060

288

123,176

44

-

254

146106260

135

4,1511

2811

41427

183271

104111227810

4,1600

3032

26012

II IIIFUELWOOO BIOMASS

(including (ALL

CHARCOAL) FORMSJ

-FAO-

(PJ) <PJ)

20 2793 ,93

0 ' 421 380

5 5402 540

25 239 9

168 9434 74

5 13326 404

6 2950 43

6 15571 11975 13251 122

0 240 14

14 34161 210

0 2345 38

969 ?,2250 6

60 1720 1

38 4329 5269 7176 376

203 8436 10

310 9257 45

31 53126 204353 362119 94

66 143

O' 10 30 21 20 00 00 0

29 3128 14

0 110 3044 47

0 10 4

76 10556 5152 55

0 90 3

156 4040 0

31 4718 17

0 340 10 0-

IV V VI VII

FUELWOOO» 81OMASS +

COMMERCIAL COMMERCLAL

(1*11) (Itlll)

(PJ) (PJ)

41 48164 163

4 71,016 1,374

6 6439 577

48 4612 11

224 15047 88

6 15393 471

6 2959 52

346 49583 131

'OTAL AVERAGE PER CAPITA

ENERGY CONSUMPTION

{ IV/Popn. (V/Popn. )GJ/cao GJi'cap

20 2315 1510 1921 2817 1710 1346 4415 1416 11

9 177 16

18 224 18

26 2385 121

8 1284 140! 11 1857 12842 6617 31

246 265174 223

2355 43

1,466 2 , 7 2 211 1666 178

0 267 7138 6181 '83

3,252 3 , 5 5 2247 886

7 1523 3516 2911 1112 15

0 148 7

15 2819 2910 27

4 1710 1110 1612 1299 10811 38

6 I0l 8 14335 951

11 49176 198136 214415 424180 154251 328

4 515 1711 13

4 58 81 11 2

71 72456 441

1 193 11371 74

1 211 15

117 14668 6374 7779 3810 14

4,316 4 ,5640 0

61 7650 49

260 2941 12 2

14 393 15

23 268 13

13 1324 2028 37

637250

22 26144

6075

25 2644 43

1814 1714 15

2231 4314 1711 1016 1633 3731 4152 55

4017 2222 22

383015

VIII IX

BIOMASS: % TOTAL

ENERGY

CONSUMPTION

(tl/IV) (III/V)

% %

49 5657 57

502 28

83 8292 9452 5079 7775 6372 8573 8983 86

85 832 31

85 9190 9490 95

0 361 466 13

93 94

83 8066 82

3 3891 97

7658 6178 8685 86

2 1182 95

92 9764 9217 2793 9585 8566 6126 44

211515

36 466

1911

42 436 3

6311 2762 64

502 29

65 7283 8270 71

0 111 254 9

38

51 6137 35

124216

Page 23: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

TABLE10^STIMATED TOTAL ENEflGY CONSUMPTION BY COUNTRY & REGIÓN 34

PAOfueiwooa t charcoaJ consumpnon datáis Tonoafedwrtn a toi Domass consurrcDones^^ate for eacricountry

REGIONS/

COUNTRIES

STVINCENT

TRINIDAD &TOB

SOUTH AMERICA

ARGENTINA

SOLIVIA

:BRAZILCHILE

COLUM8IA

ECUADOR

FR£NCH GUIANA

GUYANA

PARAGUAY

PERÚ

SURINAM

URUGUAY

VENEZUELA

¡ASIA

AFGHANISTAN

BAHRAIN

BANGLADESH

BMUTANBRUÑE!

CHINA '

CYPRUS

HONG KONG

INDIA

INDONESIA

IRÁN

[RAO

JORDÁN

KAMP'JCHEA

NORTH KOREA

SOUTH KOREA

KUWAIT

LOA. POR

LEBANON

, MACAU

MALASIA

MALDIVES

MONGOUA

MYANMAR

NEPAL

OMÁN

'PAKISTÁN•PHIUPPINESOATAR

SAUDI ARABIA

SfNGAPORE

¡SRJ LAN KA

JSYRIA

THAILAND

TURKEY

U.A.E.

VIETNAM

YEMEN ARABREP

YEMEN POR

OCEANIA

COOK ISLÁN DS

FIJI

Ffl. POLYNES1A

GUAU

KIRIBATI

•JEWCALEDONIA

NIUE

PACIFIC ISLANOS

PAPUA NEW GUINEA

COMMERCIA

[PJ!

20

1,72:5S

3,17:34:73:184

¡1422

3441164

1,653

57201204

071

2 4 , 6 4 8

49328

6,305

1,3881,915

366119

61,5982,201

5033

10713

6131

1077412

328822457210

2,335

37062

334770

1,471306210

4043

988

170

19o2

34

j.j. A ii_ FUELWOOD BIOMASS

(inciuding (ALL

CHARCOAL) FORMS)

-FAO-

(Pj) (P-)

0J 0

46 8<13 10Í

1,880 1,60468 5!

169 52468 7Ci ii j0 17

55 4880 296

0 532 23

8 23

47 2160 4

297 1,52332 22

1 3

i v y

FUELV.OOCU BIOMASS +COMMERC1AL COMMERCW.

(I*U) (1*111)

(PJ) ÍPJ1

! 1208 21

1,771 l,80f

72 16"5,053 4,77'

411 39Í901 l,25í

252 25-1

6 t0

14 3176 7C

423 63911 1696 87

1,661 1,676

104 273201 205501 1,727

32 2372 74

1,903 9 ,287| 26,551 33,935

0 02 2

2,519 8,543

1,427 2,655

26 5891 177

0 3153 11643 23248 55

0 1638 565 250 3

86 663n i<* j

14 24179 550176 438

0 20232 1,246334 856

0 30 1260 21

87 1800 136

355 206113 605

0 14243 896

0 1173 29

0 00 130 20 10 10 20 ,-ij0 2

59 24

49 49330 330

8 , 8 2 4 14,848

2,815 4,043

1,941 2,504

367 543119 150

60 1221,640 1,8302,249 2,256

503 51840 58

111 13213 17

700 1,2771 4

121 131253 624188 451328 348

1,054 2,068

791 1,312210 213

2,335 2 ,461

370 391149 242334 469

1,125 9761,584 2,076

806 820453 1,106

40 157

46 72

9 99 218 10

17 180 1

19 210 02 4

93 58

VI VII

TOTAL AVERAGE PER CAPITA

ENERGY CONSUMPTION

(IV/Popn. (V/Popn. j

GJ/cao GJ/cap

! 2I 171 17.

1 57 5Í11 2136 3'33 3329 4C26 2666 6618 3919 1821 3228 4032 2991 92

7 18443

5 1623 16

300 30824 3172 7259 5911 1916 2338 4922 3241 51

3 1680 8954 54

28011 1542 49

3942 77

2060 65

6 1611 25

25910 1914 23

652196149

9 1530 4221 18

39563

7 1819

20 32

51112 29

56lóO

18136

2";-

26 .:

VIII IX

BIOMASS: % TOTAL

ENERGY

CONSUMPTION

(!I/IV) (IK/V)

% %

) 720 1

3 518 6537 3417 1419 4227 2812 151 55

71 6919 46

2 3134 27

0 1

45 79á

^Q Bíj y o o99 9 •

1 47 77£. '

0 1V J

1 ]7<í SSi y jo

51 66

1 240 T3\J J J

0 71v í A-

90 95^ 1 3J X -*

? ?¿- £-

\

93 954 19

~)\ ¿

12 5270/ V

1 *> 1 fiL í X O

71 8894 97

e.c22 6042 65

ii5ij

58 740 ?9v i y

32 2129

254 8 1J *t O i

757 40

35 61J *J *

2C3

~4

Page 24: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

TABLE10 ESTIMATED TOTAL ENERGY.CONSUMPTIQN BY COUNTRY & REGIÓN 4/4

FAO fuetwood *- chafcoal consumplion dala js compared wilh a tolal faiomass consumplion estímale for each cotmlry.

REGIONS/COUNTRIES

FR. POLYNESIA

GUAM

KIRIBATI

NEW CALEOONIANIUE

PACIFIC ISLANDS

PAPUA NEW GUINEA

SAMOA

SOLOMAN ISLANDSTONGArUVALU

VANUATU

WALLÍS ETC

I

COMMERCiAL

(PJ)

8

17

0

19

02

34221

11

II IIIFUELWOOD BIOMASS

(includmg (ALL

CHARCOAL) FORMS)

"FAO"

(PJ) (PJ)

0 2

0 1

0 10 20 00 2

59 241 21 40 10 00 20 0

IV VFUELWOOD + ' BIOMASS +

COMMERCIAL COMMERCIAL

(I-HI) (I+HI)

(PJ) {PJ)

8 10

17 180 1

19 210 02 4

93 582 43 61 20 01 31 1

VI VilTOTAL AVERAGE PER CARITA

ENERGY CONSUMPTION

(IV/Popn.) (V/Popn.)GJ/cap GJ/cap

5616018

1362726

26 1614 2411 22

2413

7 1989

VIII IXBIOMASS: % TOTAL

ENERGY

CONSUMPTION

(II/IV) (NÍA/)

% %

20

874104948

64 4132 5942 70

59

26 7415

1 Tonne Oü Equivalen!. TOE (GJ/t)=>

Fuefwood Densíty (cubic metres/t)=>Fuelwood energ> densiíy (atr dry, 20% moisture;GJít)=-

Footnoíes:

42

1 415

Col. I. Commercial energy consumption data was derived from three data sources; i) NorthAmerica, Western Europe and USSR (BP, 1991), ü)Eastern European andDeveloping countries predominantly IEA (1990) iii) remaming country datafrom the UN (1987).

Col. II. Fuelwood = "Fuelwood + Charcoal" as from FAO Forests Products Yea/Book; 1990. FAOestimates totai wood cut for firewood and for conversión to charcoal;no other form of biomass use for energy eg. residues.

Col. III. Biomass energy consumption data was derived from: i)FAO "Fuefwood+ Charcoal" (FAO, 1990), ii)the Biomass Users Network (BUN), whichestimates all forms of biomass use for energy; so far detailed studies navebeen carried out for only 55 developing countries (Hali, 1991), ii¡) the United NationsStatistical Office, which includes various forms of biomass use for energy íntheir Energy Balances & Electricity Profiles publication (UNSO, 1990).Due to the sparseness of biomass energy use data Ín both industrialisedand developing countries, where no data ,s published we have estimated biomassuse in developing countries by assuming that the per capita consumption ofbiomass for energy is 1 tonne of wood equivalent (twe)/capfor rural inhabitants and 0.5 twe/cap for urban inhabitants. 1987 populationdata is from FAO Agrostat datábase (1990) (FAO, 1991). Thus the order ofpreference for data sources was BUN>UNSO>per capita (Popn.) estímate.

Col.IV & V. The different biomass energy consumption estimates (col. II& ill) are added to the commercial energy consumption data from col I.

CoL VI & Vil. Per capita total energy consumptton (includmg biomass, Col. IV & Vil)is calculated using 1987 population data from the FAO's AGROSTAT datábase (1990).(see table 10 for regional population breakdown)

Col. VIH & IX. the percentage share of total energy consumption provided by biomassis calculated by dividing col. II by IV (col. VIII) and Col. :i l by V (Col. IX)

Page 25: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Table 11 SELECTED SUGARCANE AND PLANTATION WOOD FEEDSTOCK COSTSIN VARIÓOS DEVELOPING COUNTRIES

1 Country

1 Brazil31 (1992)1 constant1 1988 US$

1 Thailand(1990)

1 Costa Rica1 (1988)c

1 Jamaica1 (1985)

Feedstock Costs in US$/GJ

Sugarcane

Tops &Leaves

1.19(CEST)f1.49(STIG)

1.68-1.45

0.95-1.42

0.58-2 .02

Bagasse

1.18 (CEST)1.68 (STIG)

-

0.28-1.10

0.97-2.21

PlantationWood

1.09-3.17(for theNortheastRegión. )

-

2. 51-3. 17

1.00-1. 50

ElectricityProduction

Costsc/kWhe •

Technology

CEST

13 .45-7.06

-

4.8-5. 1

4.8

STIG

6.70-4.40

-

4. 1-4.0

-

>urce: Tugwell et al. (1988).

:osts of both the biomass feedstock and electricity vary as a result ofiredicted increases in productivity from the present (52 t/ha/yr) to futureigarcane yields (71 t/ha/yr.) The efficiency with whích the tops & leaves are¡ollected is also predicted to improve from about 50% of total production:resently to about 75% of total production in the future with further gains.imited for environmental reasons.(thanol in Brazil now (1992) costs about US$7.9/GJ or an average 18.5C/1.

:hese prices are competetive with oil costing US$ 2.19/GJ or US$19/barrel.

:osts vary here due to increasing transport distances; even at furtheristances sugarcane residues are competetive with fossíl fuel alternativesstimated to cost (constant 1985 US$): US$2.45-3.84/GJ for fuel oil, US$2.35-,09/GJ for importad coal and US$3.79-4.22/GJ for indigenous coal.

The cost (1985 US$) of sugarcane residues is dependant on the processing:hnology, with briquetting generally costings less than pelletizing. Inmaica, also, the costs of biomass fuels are competetive with fossil fuels:sidual fuel oil, US$2.9-4.00/GJ; Distilled fuel oil, US$5.4-7.50/GJ; andported coal, US$1.43-2.08/GJ.

lectricity costs are estimated from the feedstock costs cf the biomass. Forgarcane residues the feedstock is derived from both the tops & leaves andgasse produced from crushed sugarcane.

EST stands for Condensing Extraction Steam Turbine which is a robust andture technology of relatively low efficiency (25-35%) compared to STIG (Steamjected Gas turbine, about 40% efficient).

Page 26: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Table 12

Main characteristics of a Typical Charcoal kiln'

Kiln diameter volume (baseNominal kiln volume (wood)

Qperating cycleLoadingunloadingCarbonizationCooling

YieldCharcoal (db)Volumetric conversión efficiency rate

Wood humidity.Charcoal production efficiency.Useful life of kiln.Annual Charcoal production (appx).Volumetric efficiency charcoal

to pig iron.

5m36 - 44 steres (1)

4 hrs (2 raen)5 hrs (2 men)96 hrs96 hrs

33% (in weight)1.8 - 2.0 steres per lm"

charcoal(2)25 - 30%1.8-2.4stere/ha/yr4 years5,400 m

4.2-3.2 (3)

Sourcenotes

(1)

(2)

(3)

Rosillo-Calle et al. (in press)

Between 21.7-26.5 m (lm =1.66 steres) However, this ratio varíesin practice according to the type of wood- e.g. one stere of dryeucalyptus wood is about 0.6 m , although this is not always thecase.The Volumetric conversión efficiency rate varíes considerably,depending on the type of kiln, management, wood characteristicsetc. EfficieneÍes of 2.2-1.6 are also common.Volumetric efficiency charcoal to pig iron depends on many factors- from charcoal quality (eg density to the type of the pig ironkiln. In the most modern kilns efficiencies of up to 2.6m /charcoal per one tonne of oig iron have been achieved. In thefuture an efficiency of 1.9 m charcoal (and even better) can beexpected to be achieved.

Sources:Rivelli Rezende (1989) , Neto (1991) , Grupo Itaminas (1989) .

Page 27: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

TABLE 13 Sumraary of Biomass Technologies

N

tt

*

n

n

M

_

"

N

D

C

ti

•H

W

*W

H

*iF

Cei*™

*i3ta

ga

un•H fn

D

3*

A

3**

o5 XN

crt

JJ

*s

nReD

E

JJ

ÉLc

E**

H

-rt

S0

fe

>

^t

c0

s1*

sV

1010

JA

4J|

C1

6R

I1

.,1

ilR

fe

sit

ra

co

n

H R

1Eí 3

H

«*1

C

1

£

>

C

1

rt

N

Ifl1

ei

íR

i

fe.C

JJn

s

str

i»eo

s

0 eC 1 Cu n• 9

§•*>jj«i.54)e

c.

u

oni

N

W >

i§-^

2^N p.

H>N r»

JJ*rt

•H í

¿J0

M 5

0".a§|R

h Vc 0D JJ0 ií

cbc

s&

. ebUr.i

&Sü

JJ

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jup

ua

S

o

1

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u«E

S

551

1íRti

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•HRi

í>í

JJR

a0 ''5< >U ffiH k.«H JJ

r• IMU C

IeE

•ojjí

*•

N

N

tf

R

ffH

H «

se

R

rK

Pyro

l

4)n

r•H >f •

H 4J

E "X **•'t, C

C18

£

>Ul

O

o4sc

N

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JJDI

fi

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|

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r00

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<*,

"85¡

oro

lal

£

>o

c1

oc

N

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rl

N

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JJ

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|

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bollo

"fi8í

•H£0f

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orcia

l

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nd

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~ic

h,a

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ca

!ír.

iR

^L3J

a

ÍSp *6 £• 5J W

fiC

•ai•j -3 JJ

JL

ntr

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nra

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c &»c

u

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*-*<*H>

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««35N N

K>v **IfiHN tf

¿?

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üi«e

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1

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fec2

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£

N

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cw• H

H n

R•HR,

£

•5

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n•HR -e'•' SE&^IH¿ C

nreia

l

ííAH

£

>

tíl

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N

Ul

JJ

eH

|

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Rh

•uc

R.B«*Ü• cJ-

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3ÍU *n3 J

intr

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N N

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rt

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bu

ntn

fe

1

CJJr•=

Source: WEC (1992) quoting Danish Energy Agency (1990)to conclavenezt

Page 28: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

TABLE 13 contSummary of Biomass Technologies

C•Heoi

41

£

C

O

*

S

11¿3eE

J3

Gasific

a

t

íÜ0

3

33•H lí

* C•H 9

«Wü 0

wQ

•-iO

8

i

N

N

1}flp

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n•Hn

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Xi

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í!«

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4 '

2¿¡•c3Hfi.

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no

u c

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29iic

n

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r.9i0

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H

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A

N

-

r.

ü

d

Anaoro

bdig

oatio

0

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ñ

uc

ai-0-4

S4u40

ar

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buati

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Q WCS c

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cn

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ain

w

ato

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fIN

ntí n0 BX S

1•HHJ*riR• 0ü»0

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Page 29: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Table 14 Electricity gene/ating plañís burning bíomass fuels in the United States35of1989a

Number of fadlítiei Initalled capacfty MWe

State Stand-slone Cogenerafíbn 5íand-¿tone Cogeneration

AJabamaArizona, iA/KansasCaliforniaCpnnecticutDelawareFloridaGeorgiaHawaiiIdahollünoisIndianalowaKentuckyLouisianaMaineMarylandMassachusettsMichiganMinnesotaMissrssippiMissouriMontanaNew H?mpsh¡reNew JerseyNewYortNorth CarolinaOhioOklahomaOregonPennsyfvaniaSouth CarolinaTennesseeTexasUtahVermontVirginiaWashingtonWisconsin

02i

6441

12021002114223300232

113123012105035

1504

303

0^e

51361711

12¿¿

29

132310

21750

1727

61

249

13129139

119

045

2 4*-<**

736155

13314

07002

o0

111

1188

21438786300

181514

15460178

690

49620

800

7255

3750

mi \J255

140

47436

129116

236

2.21

30070494

25224716123060

340650

425351

9017

1851444643

14620

218136120117

Total

3754513i ¿~

991169

13788

36199116

236132

311792308290325224230

603588014

57941110725

2541449549

14820

298136192172

U.S. TOTAL 149 367 2.459 5,962 8.421

Williams & Larson (1992)

Page 30: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Table 15

Hosahalli (S.India). Wood Gasifier Based Electricity Generation.

.

Gasifier

Engine + Gensetc

Voltage Stabiliser +Accessories

Wood Cutter

Building

Energy Forest

Total

Capital cost of 5 kW wood gas-based and dieselsystem (Indian Rupees3)

WoodgasSystem

16,000

28, 600

6,000

3,000

5,000

5,000

63,600

Diesel-onlySystem

28, 600

6,000

—5,000

-

39,600

Source: Ravindrinath" (1993) .

aThe 1992 exchange rate is assumed to be Rs. 25 = US$1.

Life of gasifier is taken to be 50,000 hours and maintenance cost is takenas 5% for an operation level of 20 hours a day.

°Life of the engine is taken to be 20,000 hours and the annual maintenancecost is taken as 10% for 20 hours of operation a day.

Page 31: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Table 16

Compositional data and heating valúes for biomass and coal fdry basisl.

FeedstocH

R i ornas s

Red Alder

BlackLocust

Poplar

Douglasf ir

Casua-rina

Euc.i Granáis

Leucaena

Sugar-caneBagasse

Coal

WestKentuckybitumin-ous

IllinoisNo. 6Bitumin-ous

1 WyomingI subbitum-[ inous

I East Texas1 Lignite• • ' '

Proximate analysispercent by weight

Volatile Fixed Ashcarbón

87.10 12.50 0.40

80.94 1 8 . 2 6 0 .80

8 2 . 3 2 16 .35 1 .33

87.30 12 .60 0.10

7 8 . 9 4 19 .66 1.40

8 2 . 5 5 16.93 0.52

80.94 17 .53 1 .53

73.78 1 4 . 9 5 11.3

33.12 48 .18 18.7

37.50 43.40 18.1

44.68 46.12 9.20

44.55 38 .86 16.6

Ultímate AnalysisPercent by Weight

C H 0 N S Ash

49.55 6.06 43.78 0.13 0.07 0.41

0.01 1.0550 .73 5 . 7 1 4 1 . 9 3 0 . 5 7

48.45 5.85 43 .69 0 .47 0 . 0 1 1.53

' 0 .02 0.1050 .64 6.18 43.00 0 .06

48.61 5 .83 43.63 0 .59 0 .02 1.59

0.01 0.494 8 . 3 3 5 . 8 9 45.13 0.15

49.20 6.05 4 2 . 7 4 0 . 4 7 0.03 1/51

44.80 5 .35 39 .55 0 . 3 8 0 .01 9 . 9 1

65.78 4 . 6 2 4.86 i. 26 4 .74 18. y

65 .34 4.20 6 . 5 9 1 .02 4 . 5 5 18.3

68.75 4.89 15.55 0.89 0.69 9.24

60 .98 4 . 45 15.82 1.08 1.08 16.6

HHV

GJ/t

19.30

19.38

19.38

20.37

19.44

19.35

19.07

17.33

27 .81

2 6 . 6 7

26.78

24.36

kg Nper GJ

0.067

0.243

0 . 2 4

0.03

0.30

0.08

0 .25

0 .22

0.45

0.38

0.33

0.44

kg CperGJ11

25.7

25 .7

25.0

24 .9

25.0

25.0

25.8

25.6

2 3 . 6

24 .5

25.7

25.0

a. Williams &Ib. calculated

Larson (1993)frora data in table.

Page 32: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

TABLE 17 Large Scale Danish Biogas Plants

V. Ujcrmit i to-

S-ilCSLÍ \ | ) cnd t iuw

Income

SalesExpciiduurc'ncomc

S'KovsgirdSalesExpcndiiuretncomc

DuviadcS-!cs

Expcnditurc

tacóme

SindingSalesGxpcndilun:íncomc

Saics

Expendí tu relocóme

KcvningcSaics[2*pcnd¡curcIncome

LintrupSales£x pcndiiure[ncomc

Ribe

SalesExpcnditurcIncomi

KcaÜKtaJ

!9S9or19SS/S9

Ipublísliedl lSUCCi í

1.020-1.300-280

1.106822284

¡.793¡.675

118

569264305

1.027

1.842

-815

1.977

8631.114

1990 or ! 1991 or1989/90 199(1/91

(publishcd C p u b l i N l i c dligurcs) l i g u r ü S )

1. 567 1.9751.394 l 1.487

173 4SS

1.450 ! 2.0691.343

!07

2.0361.220

816

543304239

2.6682.047

621

3.3181.7851.533

562436126

2.0881.759

329

6801.822

- 1.142

2.200• 131

2.3021.239

1.063

534361173

3.4882.1591.329

3.7552.5301.225,

930895

35

5.8503.0SS1.762 ,

4.3783.906

472

Ü^aPbm Plum

budiei. buájci.IWJW I993or1991/92 1992/93

2.502I.SÜÍ-

69-1

2.Cv.<1 1.510

2.776IJ3S1.43$

615293322

5.120I.S653.255

4.8632.2522.610

1.043

570478

6.9503.6003360

7.6044.0503.554

2.7752. 1 OS

667 '*:

2.9251.725

1.2001*-

Ifcttkcvcii

¡i 992,11 ¡CCS) '

i

3.425 ;1.3SO

2.04*

615293322

5.3251.940

3.385'

5.0582.343

"5.715

1.091593

498.-

7.2283.7443.484

7.903. ' 4.212

•¿.ooo

350

2.300

2.40Q

470

2.700

3.696 2.600

Tcble III. CompanyfuicnccsfQr thc nine centralizcd biogas plañís.

1. The oldescplañís, VesterHjerinitslev and Vegger, iiave received about DKK 145m tu tkeform of tcn;porcrilyinierest-free laansfrornthe County ofNorth Juliana \viih no repayment rtquired untilfurther notice. As a cor.-scqucnce, interest and repayment are Icss significan! ritan for rlie cthcr plañís, and correspondías to íhis (hercquired bicorne is íower.

2. Vtsier Hjernúislev, Vegger, Skovsgaard and Fangei liave ai! liad HCW eiígiaelgtntrator ttnits insialled. Salesare therefore expected to be considcrably improved infuíure years. '• . .•

j, Sinding. Revninge, Lintrup and Ribe anticípate increascd sales ofgas, priiiiarily because their teeihingtroubies are ej:pectcd (o have becn overeóme.

4. Calculated annuaí average ofcapitaüsed servicing obligaíions, mciuding operattonal crediis and es:imatedrc-inves(menr(J992 pnces). This calcularían ísprimañly boitnd up with (he actual debí, whiclt in icsturn de-pends on the construction subsidies received, and tlie financial performance np todale; -

5. The situation offrozen construction debts is spcciaifor the plañís ai Vesttr Hjennitslev and Veggcr. Thereforeihe annuaí average ofcapiíalised servicing obligations lias not bcen calculatcüfor [líese plañís.

Source: OEA, Dcnmark, 1992

Page 33: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Figure 1

20 -

1

o -0 5 - .0 1.5

ReLition b^wetn tout pUní m¿rtfr ai h-rvat and fíf£foen interctftethrou'hous íbe grauñng itnsan, for ¡eUcud C¡ plana grown undcr ctxditians rutk chut itx cropsare ivellfertiüzed and thc svpply of water is a¿¿quatt jar

20 -i

>*^^

JS *J

E ^• S irta, a !0*fl í^EQ

Soybean {C3 plantj

Waize (C4 plant)

700 1.100 1.300

Carbón dioxide concentraronmg m-3

1.900

VárLjrjoíi ofwaicr-use ffficíencjf C&UF-) with increaílngfoncer.írtiüon of srmotphencCO2for ttleeiedplañí ¡ptcits (80]. The WJE u me^urcd in mü^ams o/CO, (nf¡) f.xed Inphotarynchaií perpam ofwaur trdrjpircd. Th¿ armospneric concínrraiian o/CO-'u-íi; 655 T.?m'3 (353ppm) in ¡990.

Sourc'e: Hall et al. (1992)

Page 34: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Figure 2

ANNUAL MOISTURE INDEX (P / PET)

FIGURE WorL¿ map ofthe annu¿l moisrure inaac libe rafia efthe cr.n-Msl precipitarían (P) wpotfnriaievaporranspsranon (PET)], a measvre of motsrure availabtlitj fhrplant rrcitrth [81]. Ár.anr.u^l moisrurc irukx ofUn ¡han on¿ imptia a weter déficit, ushich uñíl llmiipiar.tgrcmríh, u>hiL:_a ratio grcattr :h¿n or.e implía tha: thtrt is cecea waur, so ihei ruitoffmifht ocrvr.

NET PRIMARY PRODUCTiVITY (g d.mf/ m2/ year)

FIGURE : WorLl map ofnef primary pro¿tácrivity in rrami ofdijplznt mAtitr per ¡¿-¿are rnper year. (Nose chai one gram per stj¡¿urf mcler p& yccr - 0.01 tonr.fi ptr heciarr per year.) Thepftrnary productivín •jzlittí ¡houm here u/fre obtainea by aveTapnf valúa obtcir^a jrommoetfií—¡he so-¿¿LUcí Miami cruz 'acruaíevapotransptration~bajcd strmQ:¿~ trtodcls

Source: Box & Meenterayer C1991J

Page 35: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

ioon c PH

90-

80-

70-

60-

The NeihorlandsBolgium

FranceGermany í West

EastEuropo í Cíochoslovakia

Bulgaria

CanadáNew York State

Poland

World /" Moxico

4 USSíVchinoAsia

África ^ _

1750 1800 1850 1900

Yoar1950 1980

I ; igure The wheat crop prodüction Índex (CPI)trend for the Netherlands from 1750 to the pre-sent. The wheat CPI for other countries in aboutl ' J ' / í ) 75 is also shown for comparison.

Source: Buringh (1987)

i _,

t ha

India

Pakistán

Bangladesh

600 800 1000—1— —i—1200 1400

Year

1600 1800 2000

Figure Average rice yield in Japan , year 600to present. The modern average yields of othernations are íocated on the yield curve for Japan .

Source: Hopper (1976)

CRnU)

Page 36: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Figure 4

Plantation Rotation Length and

Standing Stock at 3, 6 & 12 tC/ha/yr.

80

70 -

60

50

X.uo

r' 40c?

Ced

. 30 ->

20 •-

10 - —

4 5 6 8 9Rotation length (YEARS)

10 11 12

3 tC/ha/yr -•- 6 tC/ha/yr —h- 12 tC/ha/yr

Page 37: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

6

O 5enoío,00

co 4coen

C/3OOLÜ_lü>OLUU.

< 1HOh-

0

o

Delivered cosí of wood fromplantations in Northeast Brazil

Northeastaverage

HighV Estimate

Bioclirnatic Región Lowestímate

5 10 15 20

YIELD. .(DRY TONNES PER HECTARE PER YEAR)

25 30

K-00úHÍO

líslimoled hiplí , low, nnd nverngc costs of plontntion grown wood vcrsus oliintaüonyíeld. Average co^ts hy liinclimnlic región nre sliown, ns nrc tho avenipe cosls

in Üio Northeast.Source: Carpentieri et al (1993)

Page 38: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

0000

u. .

coOOQOo

3

O

Plantalion wood cost-supplycurve for Northeast Brazil

o

1

V

Bioclimatic Región

2000

~r ~r ~r^1000 6000 0000

MILLION GJ PER YEAR

IV

10000 2000

H-00eMn>Lncr

PlnnLntion woud cosl-supply curve fcir Norl.hcnsL lim/.il. The im;rn(;o rosl. MIKÍ 1.11ccslnnnlcd Lotnl volunic of wood LhnL can bo prmlucod in onch of tlio fivo hiocÜmntic rof;ionsshow»Sourc'e: Carpentieri et al (1993)

Page 39: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Purchasing power.oí sugar (1975 = 100%)

Year

Barréis oí oilpertonne sugar

Compared wilh1975(%)

Sugar price($ pertonne)

Compared wilh1975(%)

1973(Jan)

76.6

183

230

57

1973 1975(Dec) (Average)

43.8

105

224

56

41.9

100

401

100

1982(July)

5.1

12

115

29

1984(Dec)

2.8

7

80

20

1989(July) .

19.4

46

301

75

1990.(July)

16.8

40

269

67

1990(Dec)

9.5

23

218

54

Source: Hall ar.d de Groot, 1986. Updaled from commodily price statislics, InternationalSugar Associalion and Instituto oí Petroleum, London.

Cnno-

Page 40: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Figure 7

Steam and air • Steam and air

Biomass

S'.eamand airAsh..

Gasifiertop

Gas i f i e rbottom

tempe tature

iiomass

Fixed-bed gas i f ie r (dry ash)

1=—*- Gas

5

Biomais

AJr

il i i i

4 'Gas

< i

Gasifiertop

bottom

Temperature

B u b b H n g f!u!dlzed-b«d gas l f ie r

f7=—»- Gas

Biomass Char-bed

Orculatíng í!uldir«d-b«d gasffier

FIGURE : Qpmtinf principia íruL trmpcr&tvrf proftln fcr fixíd-btd (tep) tn¿r) ¡asijífn, and ¡he o^netin^principie for í a

Source: Williams & Larson (1992)

Page 41: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Open CycleFuol

Air

Combined Cycle45-1-%

Air

Pucl

CHP50-80%

Steam Injected

Fuo l

Air

»- S tcnm

Watoi

-e

i--MeH

Kigurc í). Alternativo commcrcia! gas turbinc cyclos iuclcd witb na tu rn l gas: opcn-cyclc [jíisturbinc (OCGT), uppcr left; cogcncrotion cycle, upper right; stcam-injcetcd gas turbinc (STIG),lower riglit; and gas turbine/combíncd cycle (GTCC), lowcr left.

Source: Williams & Larson (1992)

Page 42: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Global Trends in Áreas and ProductionofCereals (1961-1990)

740

C

••§ 140013-a2 1200

1000

800 6401961 1964 1967 1970 1973 1976 1979 1982 1985 1988

Year

Arat>|e Land Cereal Production—

Source: PAO AGROSJAT PATABASE (1990)

Page 43: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

200

601961

Iridian land Use and Food Production1960 to 1990

1968 1975YEAR

1982

Cereal Production Arable land

130

701989

I AO AGROSTAT DATABASE (1990)

Page 44: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

Chínese Land Use and Food Production1960to 1990

400

1001961

T r~ i i—i r~1968 1975

YEAR

r~i—i i—T~1989

Cereal Production Arable land

Source: FAO AGROSTAT DATABASE (1990)

Page 45: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

ÁREAS AND PRODUCTION OF CEREALSINDUSTRIALISED REGIÓN (1961-1990)

1000

900

o

0.

4001961 1968 1975

YEAR1982

Arable Land Cereal Production I

500

400

LUce

2001989

' " • i l A<> AGROSTAT DATABASE (1990)

Page 46: References. AEB91, Anuario Estatistico do Brazil (1991 ......Ahsan Ul Haye (1988) Country Paper of Baneladesh, in Report of the FAO/ESCAP/UNDP Regional Training Worlshop, Beijing,

FAO TECHNICAL PAPERS

FAO ENVIRONMENT AND ENERGY PAPERS

8

7

a

9

101112

13

Natural resources and the human environment for foodand agricultura, 1980 (E F S)Environmental impact assessment and agricultura!development, 1982 (E F S)Management and utilizaron of rnangroves in Asia andthe Pacific, 1982 (E)Mangrove management ¡n Thailand, Malaysia andIndonesia, 1985 (E F S)Rural energy planning in China and other developingcountries of Asia, 1985 (E)Natural resources and the human environment for foodand agriculture in África, 1986 (E F)Report on natural resources for food and agriculture inthe Asia and Pacific Región, 1986 (E)Report on natural resources for food and agriculture inLatín America and the Caribbean, 1986 (E S)Environmental guidelinesfor resettlement projects in thehumid tropics, 1988 (E F S)Solar drying of fish and paddy, 1989 (E)The briquetting of agricultural wastes for fue!, 1990 (E)A new approach to energy planning for sustainable ruraldevelopment, 1990 (E)Bioenergy for development - Technicai andenvironmental dimensions, 1994 (E)

Availabllity: January 1994

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