Master thesis defense_Dukan Mak_Sh
Transcript of Master thesis defense_Dukan Mak_Sh
Thesis title: Energy cooperatives as a new model for renewable energy development in Croatia: investigation into biogas production from agricultural waste in Gundinci municipality
Mak Đukan Student no: 954210 WS 12/13 Mentors: Peter Heck, PhD Michael Knaus, PhD
Program: International Master in Material Flow Management
Main motivation
• Nitrates Directive • Undeveloped manure management systems • Small average farm size • Developing communal, centralized biogas plants
Research questions
Are energy cooperatives an applicable model for producing biogas from agricultural waste in Croatia? Would Croatian farmers have the willingness to create cooperatives? What benefits would this bring?
Research sub-questions
1) What is the economic biogas potential in Gundinci? 2) Is biogas in Gundinci economically feasible? 3) What is the local cooperation potential?
Research methodology
Research scope
Field research
• 43 structured interviews – family farm owners and households
• 5 semi-structured interviews – mayor and local community members
Structured interviews question flow
Biogas partner selection tool based on three indicators
DYNAMIC DEVELOPMENT
Land under cultivation and livestock unit now, compared to past five years & future ambitions + manure management system + own land (ha)
BIOGAS POTENTIAL
Volume of biogas from manure and land availability for energy crop growth
BIOGAS COOPERATION
Willingness to provide manure, grow energy crops and invest jointly into AD plant
Weight
30%
30%
40%
Total 100%
Material Flow Analysis
!" #!!!" $!!!" %!!!" &!!!" '!!!!" '#!!!" '$!!!" '%!!!" '&!!!"
()*+",-.*"()*+/01*""()*+"23*.-451/"6)-/+"
78/4*"69:9)/4*""7;8/4*"6)-+51/"2<=;4/1""
7;8/4*"6=1-.3>9""7;8/4*"?9)4/1""7;8/4*"@*.-)""
7;8/4*"@-4>/"A4+)/>9.B/""7;8/4*"@)*C*3/8"7;8/4*"(*)D/4"
7;8/4*"(-)4>*"E):*""7;8/4*"(-)4>/"6-C/89.B/""
7;8/4*"F3*1*)"7;8/4*",-.*"F*;93*""
7;8/4*"71=D*4/"7;8/4*"7;)/5*.B/""7;8/4*"7)3-.*B""
7;8/4*"G-+B)1*.3>9""7;8/4*"H909<*)/""
7;8/4*"2/:/4>"7;8/4*"2/1/)9.B/""
7;8/4*"23*.-451/"I*J*B"7;8/4*"2<*)*"()*+/01*""
7;8/4*"2<*)-"G9<)-.-"293-""7;8/4*"E93/1*"F-;*4/B*""
7;8/4*"E):>9""7;8/4*"E);-3>9"
7;8/4*"(=4+/4B/"
Number of animals per municipality in Brodsko-posavska county (2001)!
?*K39"
G/C5""
G-=3<)L"M!N""
Municiplaity with greatest number of animals in Brodsko-posavska County
!"
#!!"
$!!!"
$#!!"
%!!!"
%#!!"
&'()*" +,-
*".,/*
0*"
+1002"'3
4"5,'6*"" 7'89
0*""
7':80";/
,("<"6,"$
%"(,361*
""
7':80";/
,("$%"6,"
%="(,361
*"">/,?
80/*""
@?5";'68?3
5*";/,("%
#"6,"$!!A
5"
B?8A?35"C,
-*""
Live
stoc
k un
it "
Number of livestock units in 2010 - 2012"
%!$!"
%!$$"
%!$%"
Source: Croatian agricultural agency
Decrease in milking cows and other cattle indicates to declining milk production
Strenghts Weakness
Threats Opportunities
! Technology well suited for high-moisture content biowaste ! Compliance with EU manue management regulations ! New revenue stream for local community – contract with
HEP to sell electricity at FIT for 14 years ! Fertiliser as end product ! Reduction of odour from current manure management ! GHG emiission reductions ! Decrease in nutrient run off to ground water ! Local ownership of biogas plants reduces the Not in My
Back Yard (NIMBY) problem ! Creation of local jobs ! Strenghening of social cohesion of the village
! Biogas and fertilizer production very sensitive to feedstock quality
! Small changes lead to proces instability ! Lack of existing demand for thermal energy ! Relatively expensive technology ! Harder access to finanicng from business banks – more
owners means more risk ! Energy cooperatives have many members with equal
votes – decision making made harder ! Local skills set very low – biogass technology completely
unknown
! Economic recession could lead to decrease in number of animals in municiplaity due to smaller demand for agri products
! Monopolistic milk price setting ! Change in political leadership of municiplaity ! “Not in My Back Yard” problem ! Bad internal relations among farmers could break up the
energy cooperative ! Low levels of dry matter content in local manure, due
water permeable storage facilities ! Decrease in Feed in Tariff for biogas production
! Sales of electricity diversifies local revenue streams – farmers less dependent on price changes of main products (milk, meat etc.)
! Possibility to charge gate fees for processing of organic waste from households and industry
! Thermal energy utilization for greenhouse ! Fertilizer savings due to better AD digestate nutrient
quality than raw manure ! Carbon credits earning within ETS system
AD SWOT analysis
!"#$%& '()%&*+%,&*-%
./0 !! "#$
1#*22,./0 ! %&'$
3("4%5(26, ( '$
OPGs make the largest share of respondents: a) high manure production rates and b) wealthiest community members
Best potential energy cooperative members
Field research
!"#$
%&#$
'!#$
Share of respondents by farm type!
()*+$,-./0)0*$
123)4/2$,-./0)0*$$
5-.4/$,-26+$
Most responses from cattle farmers
Biogas partner selection tool
!"#$
%&'()!&*(+%&,(-%&'(.%&,(*%&*(-%&,()%&,(/%&,(.%&*(/0&*(,%&*(.%&,(1%&'(,%&*(1%&*(+0&*(*%&'(+&%&,(2&%&'(*%&,(,%&'('%&,('%&'(/%&*(2%&'(1%&*(,%&'(-%&*('%&'(2&%&*(*%&,(+%&+()&
345678#9:&;:<$&=>??>8@8$55&;"&<9"A>#$&B7849$
=>??>8@8$55&;"&@9"C&$8$9@:&D9"<5&
=>??>8@8$55&;"&>8A$5;&E">8;?:&>8;"&
6>"@75
F78#&D4?;>A7;>"8&&&&&&&&&G%HI&2:&J&KL=
%8>B7?&84B6$95&G%HI&2:&J&KL=
F78#&D4?;>A7;>"8&&&&&&&&&KL=&J&MNINOP&2:
%8>B7?&84B6$95&&&&&&&&KL=&J&MNINOP&2:
Q7849$&B787@$B$8;&5:5;$B&R47?>;:&
!"#$%&' () () () *&$+&,-& .,/& (&01+,2 (&01+,2 !340,2#15 678!,112& () () 9&- *&$+&,-& *&$+&,-& KS% (&01+,2 !340,2#15 :;8!,112& 9&- () () *&$+&,-& <'$+&,-& *&$+&,-& <'$+&,-& =340,2#15 >:8!,112& 9&- () () *&$+&,-& .,/& <'$+&,-& (&01+,2 !340,2#15 ?;8!+)@- KS% 9&- 9&- .,/& .,/& (&01+,2 (&01+,2 =340,2#15 >A8B#C-3 9&- () () <'$+&,-& .,/& <'$+&,-& (&01+,2 =340,2#15 D68
!"#$%&' 9&- () 9&- .,/& .,/& (&01+,2 (&01+,2 !340,2#15 E;;8!,112& 9&- () () <'$+&,-& <'$+&,-& <'$+&,-& (&01+,2 !340,2#15 678!,112& 9&- () 9&- .,/& <'$+&,-& (&01+,2 (&01+,2 =340,2#15 :78!,112& 9&- () () *&$+&,-& <'$+&,-& (&01+,2 (&01+,2 =340,2#15 >A8!,112& 9&- () 9&- *&$+&,-& <'$+&,-& (&01+,2 (&01+,2 !340,2#15 6F8!"#$%&' 9&- 9&- () .,/& <'$+&,-& (&01+,2 (&01+,2 !340,2#15 E;;8!,112& 9&- () () .,/& <'$+&,-& T8D9$75$U&D?$79&7>B (&01+,2 =340,2#15 6A8!"#$%&' 9&- 9&- () .,/& .,/& <'$+&,-& (&01+,2 =340,2#15 A?8!,112& 9&- () () *&$+&,-& .,/& <'$+&,-& (&01+,2 =340,2#15 A;8!"#$%&' 9&- 9&- 9&- <'$+&,-& .,/& <'$+&,-& (&01+,2 !340,2#15 D;8
!,112&3,'G3@#C- 9&- 9&- 9&- <'$+&,-& *&$+&,-& <'$+&,-& <'$+&,-& !340,2#15 ??8!,112& 9&- () 9&- .,/& *&$+&,-& <'$+&,-& <'$+&,-& !340,2#15 E;;8!,112& 9&- () 9&- .,/& .,/& <'$+&,-& T8D9$75$U&D?$79&7>B =340,2#15 >F8!"#$%&' 9&- 9&- 9&- *&$+&,-& .,/& (&01+,2 (&01+,2 =340,2#15 E;;8!,112& 9&- 9&- 9&- <'$+&,-& .,/& <'$+&,-& (&01+,2 =340,2#15 7E8
!"#$%&'3,'G3@#C- 9&- () 9&- <'$+&,-& <'$+&,-& <'$+&,-& T8D9$75$U&D?$79&7>B =340,2#15 A:8!,112& 9&- () 9&- <'$+&,-& <'$+&,-& *&$+&,-& (&01+,2 =340,2#15 7A8B#C- 9&- 9&- 9&- .,/& <'$+&,-& T8D9$75$U&D?$79&7>B T8D9$75$U&D?$79&7>B =340,2#15 :?8B#C- 9&- 9&- 9&- <'$+&,-& .,/& <'$+&,-& (&01+,2 =340,2#15 :?8B#C- 9&- 9&- 9&- .,/& .,/& (&01+,2 (&01+,2 =340,2#15 E:8
!"#$%&' 9&- 9&- 9&- .,/& <'$+&,-& T8D9$75$U&D?$79&7>B T8D9$75$U&D?$79&7>B =340,2#15 6F8!,112&3,'G3@#C- 9&- 9&- 9&- <'$+&,-& .,/& (&01+,2 (&01+,2 =340,2#15 :;8
B#C- 9&- () 9&- <'$+&,-& <'$+&,-& <'$+&,-& <'$+&,-& H340,2#15 AF8!,112&3 9&- 9&- 9&- .,/& <'$+&,-& <'$+&,-& <'$+&,-& =340,2#15 EF8B#C- 9&- 9&- 9&- .,/& .,/& T8D9$75$U&D?$79&7>B T8D9$75$U&D?$79&7>B =340,2#15 E;;8B#C-3 9&- 9&- 9&- <'$+&,-& <'$+&,-& <'$+&,-& T8D9$75$U&D?$79&7>B =340,2#15 >D8B#C-3 9&- 9&- 9&- <'$+&,-& <'$+&,-& T8D9$75$U&D?$79&7>B T8D9$75$U&D?$79&7>B =340,2#15 678
HV79$&"W&"C8&?78#&&&&&&&&&&&&&&&&XY&Z&
[O%0P\;;
E?7>6>?6:>
;E7?D;:;E?7:6;DE;D:FE?DF?;>?6:>::?:?6:66E>;77DE7;::FAEE7>DF>::6:7D>6EE>:6?E?EE>EF7A>6;>6E:?6;E7?D;>767DE:A;D7;6?:?>7D6?6:66?;?6D?;?6D>6;E6
%A7>?76?$&6>"@75&<";$8;>7?&&&&&&&&&&&&&&&&&&&&&&&
XB'&!3+]FN\&Z&
="4?#&C>??>8@?:&#$A";$&W"9&P!&&&&&&&&&&&
XV7\
;;;;?;;;;;;;E?;E:;6E;;;E;E:;;E:>;EF;AI:>;;E:!>;:;
MTK%F&OPHNFIH&
E?I>8>;I6876I787DIA8??I78?:IE8?AID8?DI:8?DIA8:>I78:7I?8:7I68::IF8:6I78:FI:8:AI78:AI?8:AI68:DI:86EID86>IA867I;86?I;86FI>86FI>86FI786AID8F;IA8FEI;8F:I>8F6I;8FAIF8A>I78
Biogas cooperation
Dynamic development
Biogas potential
Final grade - 50% cutoff
!"###"$%&'
()%"*++'
#"!++",)&'
%#+"%%+'
!"*#("))+'
#%&")(*'
*"%+#"($!'
!%&"+#$'
+' !"+++"+++' %"+++"+++' ,"+++"+++' )"+++"+++' *"+++"+++' #"+++"+++' ("+++"+++'
-./0.1'2.3'456078''
9:.;<86'=>?.1'456078'
95@?8'=>?.1'456078''
95@8'?./0.1'456078'
Energy potential from manure before and after partner selection (kWh/yr) !
AB87'=8?8;C>6'
D8E>78'=8?8;C>6'
After selection 28000t of manure would be available for biogas production or app. 8700 MWh ≈ 435 kWel
!" #!" $!" %!" &!" '!!" '#!" '$!" '%!" '&!"
!"#$#"!"#$%"!"#$&"!"#$'"!"#$("!"#$)"!"#$*"!"#$+"!"#$,"!"%$-"!"%$#"!"%$%"!"%$&"!"%$'"!"%$(""!"%$)"!"%$*"!"%$+"!"%$,"!"&$-"!"&$#"!"&$%"!"&$&"!"&$'""!"&$(""!"&$)"!"&$*"!"&$+"!"&$,"!"'$-""."#$'"/"#$#"/"#$%"
Hectares"
Total land under cultivation vs. land that could be devoted for energy crops (ha)"
.0123"345064"708"4948:;"<80=>"?06@2"2@93"19348"<12A5@A09"
433 ha of land available for energy crops
Total land the farmers cultivate vs. land that they could devote (based on interviews) for energy crops
Co-digestion of manure with maize sillage and sorghum sillage, grown on 40 ha each
!"#$%& '"!$%&
$(")*%&
)"(+%&
*",-%&
!#"!)%&
-"#!%&
+"#-%&
-'"$,%&
-*"),%& '#"!)%&
$-"$$%&
#"##%&
-#"##%&
'#"##%&
!#"##%&
$#"##%&
+#"##%&
)#"##%&
./01&234536&7/8591&
.:3;<18&=>236&7/8591&
?34536&@3A&7/8591&& B/3C1&=322/A1&& D>9A:57&=322/A1&& ./021&=>236&7/8591&&
Co-digestion characteristics: feedstock mass compared with feedstock energy yield!
E116=F>;<&7/==&
E116=F>;<&1819AG&&
Potential installed capacity of 640 kWel (8000h/yr working time)
!""#$%&'()%*+"),-./%0%0"$)))))))))))1%)!23.4
56.7")87*)9.%%"7)
1824:7;./0')82)
1&824<0&;.$)*0"=#)19>3(;)&824
2"%6./")))))1?&=)@4
2"%6./")))))19>)
ABC3*74
D7&$$)"/"7;*)1(E63.4
F0G-0#)+0;)9./-7") !"#""$ %&' "' &$' $(%) *$' !"*#+%% !#"*+#%%$
A60'("/)$&=0#)9./-7" +*, )' %$' +"' $(" ""' *)#-%& *)-#%+"
A.%%=")$&=0#)9./-7") -#-$$ ,$' )"' &"' $(%" ""' ")$#*+& "#)$*#+&!
A.%%")=0G-0#)9./-7" --! ,' &' &$' $(,+ ""' !)#-$+ !)-#$*&
2.0H")$0==.;") )#)$$ +' ,"' -"' $(*" ")' )%+#)%+ )#%+)#%+$
5&7;6-9)$0==.;") ,#)$$ !$' )&' -$' $(*! ")' )""#+-$ )#""+#-$!
I:IJF) >KLMNC ONN@ OMP>@ Q>PC@ NPCM RMPS@ OLKRML>O> OKLRM>LO>R
Source for feedstock parameters: KTBL biogas rechner
Main plant data . . .
!"#$%&'()"*#$+%,"*"%
-.(/*)#/".%(00#/#($/1% !"#$%
23()4".%(00#/#($/1% !&#'%
5(").1%"6"#."7#.#*1 ("""
8$9*"..(,%/"'"/#*1%:;<'= )'*"
8$9*"..(,%(.(/*)#/%:;<(.= +!&
8$9*"..(,%*3()4".%:;<*3= ++*
!"#$%&'()*"%$%+#&#$,*-./012
3("4&*5'6+%,*-&7%2 !"#$%&
89*:6(&#(&*-;2 '$(!)
689*-;*6<*892 *!(&)
=>?$%4@':*$#&#(&'6(*&'+#*-?2 +'
A#$+#(&#$*B6@4+#*-+C2 +"&'
!1DE*-F)*6897+C*AGE?2 "(+
Social Fabrics Landscape (SFL) . . . or something like stakeholder analysis
Economic pre-feasability
Examined scenarios
!"##$%&'()'*'+,'(#-)'./# 01(2&'3-)$3$-4( 51(6'.-( 71(8$9'#-.-' 0::$-$"+.&($+*'#-/'+-
;3'+.)$"(< ! ! !
;3'+.)$"(= ! ! !
;3'+.)$"(> ! ! !
;3'+.)$"(? ! ! !
!"##$%&'(#)
*#+,$-#"
*#+,$-#"),$.)!"##$%&'(#/
Assuming an investor from outside the village
builds this
Scenario revenue streams . . .
!"#$%&'()* +,%$-'-.) /&'"#) 0$'-) 1#2#$,#)
34#"-&'".))56789.&: !"#$%"&'$ %()* +,-./01 #'!"2%3
;#%-)56789.&: $""$%% %(%3 +,-./01 2%"##*
<'=#>-%-#)5-9.&: !"3$3 )% +,-.4 !3"$3%
?(-%4) @@ABCC@
!"#$%&'()D +,%$-'-.) /&'"#) 0$'-) 1#2#$,#)
34#"-&'".))56789.&: !"#$%"&'$ %()* +,-./01 #'!"2%3
;#%-)56789.&: $""$%% %(%3 +,-./01 2%"##*
?(-%4) @EFBGA@
!"#$%&'()H +,%$-'-.) /&'"#) 0$'-) 1#2#$,#)
34#"-&'".))56789.&: !"#$%"&'$ %()* +,-./01 #'!"2%3
<'=#>-%-#)5-9.&: !"3$3 )%(%% +,-./01 !3"$3%
?(-%4) ACABDDD
!"#$%&'()E +,%$-'-.) /&'"#) 0$'-) 1#2#$,#)
34#"-&'".))56789.&: !"#$%"&'$ %()* +,-./01 AFEBCID
Feed In Tariff for cogeneration
>300 kW ≤ 2 MW
Standard market price in Croatia
Discounted cash flow analysis: Net Present Value, Internal Rate of Return and Payback Period
!"#$%&'()*+,-& !"#$%&'()*+,- !"#$%&'()*+,-
./#0%&1#22/3%& 45 ./#0%&1#22/3%& 46 ./#0%&1#22/3%& 4789"3:;<&1#22/3%& 4= 89"3:;<&1#22/3%& 45 89"3:;<&1#22/3%& 46
>?,%"%1,&"/,%&'@- 6@ >?,%"%1,&"/,%&'@- A@ >?,%"%1,&"/,%&'@- B@CD?&%E;#,F&'@- 56@ CD?&%E;#,F&'@- 5G@ CD?&%E;#,F&'@- 46@
H>I&'()*+JK:- GL=7 H>I&'()*+JK:- GL=A H>I&'()*+JK:- GL=MNO!(P&Q/1#$&'()*+JKR- 5SAGG NO!(P&Q/1#$&'()*+JKR- MSGGG NO!(P&Q/1#$&'()*+JKR- MSMGG
CR,#<#1,#$&N T/1%&O !%11#<#1,#$&T
Each scenario analyzed based on these assumptions
Scenario analysis results
!"#$%&#'()*+,&-.-#&-/'0 12#"'3 )"##-.-#&-/'1'
!"#$%
!"&!#
'!$
$'#
()*'''''''45556
7/"829-:';
7/"829-:'<
7/"829-:'=
&"&'# ("!)' !"*+$
&"%()
("((#
$"**)
$"'#%
$"%+'
7/"829-:'>'
!"#$%&'()* !"#$%& !'#%'& !$#$(&
!"#$%&'()+) !"#)*& !+#!)& !!#$+&
!"#$%&'(), !,#"!& !*#%,& (#!*&
!"#$%&'()- !,#$'& !!#%'& ,#((&
.#/012/)3..3..)))))))))))))456
782'9'/2'"): ;%/#)< =#//'9'/2'");)
!"#$%&'()* !"#$ %"&' ()"&(
!"#$%&'()+ !"*( (#"() (+"&%
!"#$%&'(),) +"(& $"## (#"!%
!"#$%&'()- +")& $"*# (("&!
.#/012/)3%45%"6)3%45%"6))74#%&/8
9:2';'/2'")< =%/#)> 3#//';'/2'")=)
*discount rate of 6%
Sensitivity for changes in energy crops prices by 15% and 30%
!"#$%&'&()*+,-. '/012#3%&4#5526%& 789:"6;<=&4#5526%& 7>
!"#$%&7&()*+,-. ?@012#3%&4#5526%& ??9:"6;<=&4#5526%& ?@
A24%&B&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&C))D9EFGH&!+IG)&IJG+)B9)
Sensitivity for changes in energy crops prices by 15% and 30%
!"#$%&#'()*()*'''''''''''''''+,,,-
./0'1234"5#" 6,0'1234"5#"
73"25418'.' !"#$! !"%!%
73"25418'9 !"&!& !"!#'
73"25418'6 (")!! ("&)%
73"25418': ("*)$ ("(&( !"#$%&'()* !"#$$% &#&'%
!(#"(%
!"#$%&'()+ !)#'*% !)#!*%
!"#$%&'(), !!#'(% !!#!"%
-#./01.)2--2--))))))))))))))))345
674)'$"&#%.# ,84)'$"&#%.#
!"#$%&'()6) !(#$!%
!"#$%&'()*!"#$% !!#"&
!"#$%&'()+&#'" %#"(
!"#$%&'(),%#%" !"#(!
-#./01.)2%34%"5)2%34%"5))63#%&.7
89:)'$"&#%.# ,;:)'$"&#%.#
!"#$%&'()8)&#)' &#$*
*discount rate of 6%
Main findings
• Worst case scenario (No. 4) achieves IRR of 11.34% and payback of 10.13 years
• Compared to IRR of 15.17% and payback of 8 years
for best case (No. 1)
• Increase in energy crop price for 15% changes IRR by – 0.61% on average and payback + 0.35 years on average
• Increase by 30% has slightly worse effects
Based on Base A (most realistic)
Above the hurdle rate of 8.6% = projects are
acceptable
Analysis of local cooperation potential
!"#
$%#
&!#
&#
$'#
$"#
"(#
$"(#
&"(#
!"(#
)"(#
*"(#
%"(#
'"(#
+"(#
,"(#
$""(#
-.//.010233#45#6758.92#:;0<72# -.//.010233#45#175=#20271>#?7563## -.//.010233#45#.08234#@5.04/>#.045#A.51;3##
Biogas Cooperation Indicator!
B5#
C23#
90% of farmers would willingly provide manure for AD, 46% would grow energy crops and 70% invest jointly into biogas
70% of the farmers do not sell any products within the municiplaity and 40% do not purchase anything
!"#$%&'
"(#))&'
!*#(+&'
,!#%"&'
,,#!(&'
!*#(+&'
-#--&' !-#--&' $-#--&' *-#--&' ,-#--&' +-#--&' "-#--&' )-#--&' %-#--&'
./0'
12'
134'
Trade among local farmers!
56789:';<2='2>?/<';@<=/<0''
A/BB89:'>2'2>?/<';@<=/<0'''
Semi structured interviews on the Gundinci Agricultural Cooperative (GAC)
Mr. Marijan Lučić, Chicken husbandry, former member of GAC, 15th November 2012, Gundinci • Cooperative founded in 1968 and broke apart in 1995 • Had one director who managed trade deals • Financing of production materials through a collective loan – the
farmers did not have to invest money themselves
Mr. Marijan Lučić, Pig husbandry, director of GAC for 25 years, 16th November 2012, Gundinci • Jelaousy and individual rows between locals problem for cooperative • Difficult to get the people to invest jointly into the plant
Are energy cooperatives an applicable model for producing biogas from agricultural waste in Croatia?
• Most Croatian farms are small in size, meaning that
developing biogas economically is possible only through aggregating manure into centralized plants
• Energy cooperatives create a model for investing into biogas plants by the community. These investments would be economically viable provided there is enough biomass
What benefits would this bring?
• Sharing of investment risk among the farmers • Ability to take advantage of more manure produced on
Croatian farms • Compliance with the Nitrates directive • Greater added value chain in the local economy – job
creation, introduction of new skills to the locals, marketing of the municiplaity
• Reduction of water pollution from nutrient runoff and
methane emissions • Health benefits due to cleaner local drinking water
Would Croatian farmers have the willingness to create biogas energy cooperatives?
• Farmers are willing to cooperate with the biogas plant
(provide manure) because this would help them get into accordance with the Nitates directive (efficient manure management and 170 kg N/ha)
• Growing of energy crops depends on price negotiations with the farmers
• But in real life the majority would most likey not be willing
to invest into the plant. In general they do not want to take any more financial risk.
• Local financing could be the greatest obstacle for cooperatives development
What are the obstacles for developing energy cooperatives in Croatia?
MACRO LEVEL • Top down structure of Croatian cooperatives
governance and lack of institutional support • Lack of governmet leadership in promoting
cooperatives as form of social entreprenuership MICRO LEVEL • Misunderstanding of the cooperatives by the general
pubic – seen as relics of socialism • Lack of education and skills at the local level • Weak sense of group and tollerance among people
Policy recommendations
• Create pilot project, which would serve as an example for farmers that IT CAN BE DONE
• Involvement of international development organizations
that have a brand name and financial power to finance this
• Local shared interest crucial in bringing the farmers together. They have to see the benefits and this means EDUCATING them
• Create easier access to finance – business banks perceive communal projects as risky