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NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Techno-Economic Analysis for the Production of Algal Biomass: Process, Design, and Cost Considerations for Future Commercial Algae Farms Algae Biomass Summit October 24, 2016 Ryan Davis, Jennifer Markham, Christopher Kinchin, Nicholas Grundl
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Page 1: Techno-Economic Analysis for the Production of Algal Biomass - Algae …algaebiomass.org/wp-content/gallery/2012-algae-bioma… ·  · 2017-01-05NREL is a national laboratory of

NRELisanationallaboratoryoftheU.S.DepartmentofEnergy,OfficeofEnergyEfficiencyandRenewableEnergy,operatedby theAllianceforSustainableEnergy,LLC.

Techno-Economic Analysis for the Production of Algal Biomass: Process, Design, and Cost Considerations for Future Commercial Algae Farms

Algae Biomass SummitOctober 24, 2016

Ryan Davis, Jennifer Markham, Christopher Kinchin, Nicholas Grundl

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NATIONAL RENEWABLE ENERGY LABORATORY

Intro: 2016 Algal Biomass Design Report

2

• Projects goals to be achieved by 2022 and corresponding economics• Focused on open pond cultivation, given challenges in publicly

available cost/design details for PBRs (and widely varying PBR designs)

• PBR evaluation completed Sept. 2016• Primary value is the use of four independent but credible

sources for design and cost details for pond systems (key step of process)

• This approach shows significantly better agreement on what commercial pond systems should “actually” cost than typical statements made publicly

• Reduces uncertainty in underlying cost estimates, and highlights important economy of scale benefits

• Beyond base case, numerous sensitivity scenarios are considered• CO2 vs flue gas• Lined vs unlined ponds• Productivity vs cost• Alternative strains

• Includes consideration of sustainability metrics including GHG, fossil energy, and water profiles

http://www.nrel.gov/docs/fy16osti/64772.pdf

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NATIONAL RENEWABLE ENERGY LABORATORY

Background: Large public disparities on algae costs

3

Focusing only on open pond cultivation estimates from literature:• “Today’s” performance claims for algae:

• $280-$2,450/ton biomass, $2-$112/gal biofuels• 7-35 g/m2/day cultivation productivity (@ 330 day/yr uptime)

• “Future” goals:• $280-860/ton biomass, $2-$25/gal biofuels• 15-60 g/m2/day cultivation productivity (@ 330 day/yr uptime)

• Much of this variability may be attributed to differences in several key underlying assumptions –e.g. growth rates, pond system costs

• Given wide lack of agreement on these key metrics, analysis considers two approaches:1) “Top-down”: What does performance + cost “need to be” to hit a given biomass cost goal2) “Bottom-up”: Given a set of defendable assumptions, what is the resulting biomass cost

0 25 50 75 100-500

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500

1000

1500

2000

2500

3000

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0

20

40

60

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100

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0 10 20 30 40 50 60 70Productivity(g/m2/day)

Biom

assC

ost($/U.S.Ton

)

AlgalO

ilCo

st($/Ga

llon)

Productivity(U.S.Ton/acre/yr @330days/yr)

AlgalOilCurrentAlgalOilFutureBiomassCurrentBiomassFuture

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NATIONAL RENEWABLE ENERGY LABORATORY

15 25 35 45 55 65

$0

$50,000

$100,000

$150,000

$200,000

$250,000

$300,000

10 15 20 25 30 35 40 45 50

Productivity(ton/acre/year)

Pond

SystemCap

italCosts($

/WettedAc

re)

Productivity(g/m2/day)

$1000/USDryTon

$700/USDryTon

$550/USDryTon

$430/USDryTon

$300/USDryTon

Approach: “Top-Down” Analysis

4

• Y and X axes – mutually independent variables• Contours = resulting minimum biomass selling price (MBSP)• MBSP reduces for higher productivity or lower pond cost• Likely lower limit for system costs ~$30k/acre (commercial nth

plant) • At this limit $430/ton is possible (@ 30 g/m2/day), but

challenging to reduce costs any further• Even if ponds were “free”, CO2/nutrient/other costs still add

up to $300-$400/ton lower boundary

“Today’s”costs(smallpondswithliner)

Commercialcostgoals(largerunlinedponds)

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NATIONAL RENEWABLE ENERGY LABORATORY

“Bottom-up Analysis” – Process Schematic

5

A100BIOMASSPRODUCTION

A200INOCULUMSYSTEM

A400MAKEUPWATERDELIVERY+ON-SITECIRCULATIONTO/FROM

DEWATERINGA300

CO2DELIVERY

A500DEWATERING

ALGAEBIOMASSCONVERSIONTO

BIOFUELS(notmodeledhere)

A600STORAGE

PFD-001JULY 2015

OVERALLPROCESS:ALGALPRODUCTIONPROCESS

ALGAE(0.05wt%solids)

AMMONIA

DIAMMONIUMPHOSPHATE

INOCULUMALGAE(0.05wt%solids)

ALGA

EPR

ODU

CT(20wt%

solids)

ALGA

EPR

ODU

CT

(20wt%

solids)

DIAMMONIUMPHOSPHATE

WAT

ER

RECYCLEWATER

AMMONIA

CO2

CO2

CO2(Fromoutsideoffacility) MAKEUPWATER

RECYCLEWATER

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NATIONAL RENEWABLE ENERGY LABORATORY

Biomass Production: Process Considerations

6

2022 goals:• Productivity: targeting 25 g/m2/day (AFDW annual avg)

• External reviewer agreement that >25 is or must be achievable by 2022 to demonstrate sufficient progress over today’s benchmarks

• Best performance published to date = 23 g/m2/day (+ 40% lipids) (Huntley/Cellana), 8-21 g/m2/day April-October (White/Sapphire)

• Composition: mid-harvest/high-carbohydrate Scenedesmus (HCSD), 27% FAME lipids• Scenedesmus selected given detailed compositional data, commercial relevance• Composition + productivity = ~3.9% PE to biomass (from full-spectrum irradiance), vs ~14% max

• Seasonal variability: 3:1 (max vs min seasonal growth)• Key challenge unique to algae – adds design constraints for downstream conversion facility• Most recent basis from PNNL BAT model = ~5:1 average for Gulf Coast• May be reduced either through strain engineering or seasonal strain rotation• Current ATP3 data ~3-4:1 average of all sites, <2.5:1 for Florida (“representative” Gulf Coast site)

• Evaporation: Based on prior harmonization modeling work (Gulf Coast average)

Metric Summer Fall Winter SpringAnnualAverage

BiomassProductivity(g/m2/dayAFDW) 35.0 24.9 11.7 28.5 25ProductivityVarianceversusSummerPeak NA(1:1) 1.4:1 3.0:1 1.2:1 NA

PondEvaporation(cm/day) 0.090 0.035 0.035 0.189 0.087Blowdown(MML/day) 7.3 2.8 2.7 12.4 6.3

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NATIONAL RENEWABLE ENERGY LABORATORY

Pond Design Scenarios

7

NREL solicited 4 separate inputs on 8 pond designs/costs:

• Key aspect of this work – address common conceptions that commercial algae pond costs are too scattered, uncertain to “really” establish with any certainty

• Ponds grouped into 100-acre “modules”, in turn constituting a 5,000 acre facility based on cultivation area (~7-9k total farm footprint)

• Continuous cultivation at fixed 0.5 g/L AFDW harvest density• Freshwater scenario, includes blowdown to control salt/inorganics

à All pond designs are based on unlined ponds with native clay soils• Plastic liners only used on berms or pond turns (2-25% of pond area)• Full pond liners considered as sensitivity (strongly influence total costs)

TypicalSumpLocation(variesbydesign)

1%Elevationchange

Weirevery2ndchannel

PaddlewheelStation

CirculationPump

CirculationPump

0.1%Slope

Paddlewheelraceway(typ) GAIgravityflow+pump Leidos serpentinepond

Source 2acre 10acre 50 acreLeidos (engineering firm) R R S

MicroBio (expert consultants) R R

Harris Group(engineeringfirm) RGAI(commercialdeveloper) G G

R=paddlewheelraceway

S=gravity-flowserpentine

G=GAIdesign(gravityracewaywithpump)

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NATIONAL RENEWABLE ENERGY LABORATORY

Pond Cost Estimates

8

a Additionaldatapoints(notincludedinfullTEA)addedtothisplottofurtherdemonstratecostalignmentbypondsize.

b Bealcostsbasedonextrapolatingfrompublishedcostsforfullylinedpondtoaminimally-lineddesign.IfafullylinedpondwereusedfortheBealcase,totalinstalledcostwouldbe$114,000/acre.

c GAIcasesincludeelectricalcostsunder“otherpondcosts”.

• Pond costs show reasonable agreement based on “small”, “medium”, or “large” size groupings

• More strongly a function of scale –highlights economy of scale advantages for building larger ponds >2-3 acres

• Largest cost drivers = paddlewheels + concrete (“other” category), piping, civil

• Economies of scale are possible for piping (individual feed/harvest lines), paddlewheels, electrical

• No notable scale advantages for civil

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$576$649

$452$491

$545$475 $491

$419 $392

$0

$100

$200

$300

$400

$500

$600

$700

Algalbiomasss

ellin

gprice($/ton

AFD

W)

OSBL

Dewatering

Ponds+Inoculum

FixedOPEXCosts

OtherVariableOPEX

Nutrients

CO2

TEA Results: Base Case

9

Facilitysize 5,000acres(2,023ha)wettedcultivationareaCO2 demand 417,700ton/yrOn-linetime 7,920h/yr (330days/yr,i.e.,90%on-linefactor)Biomassproductionrate 0.19MMton/yr (AFDW)Biomassyield 37.5ton/acre/yr (84.1tonne/ha/yr AFDW)Totalinstalledequipmentcost $238MMTotalcapitalinvestment(TCI) $390MMTCIperannualtonbiomass $2,080MinimumBiomassSellingPrice $491/tonAFDWContributionfromcultivationsystem $278/tonContributionfromCO2 +nutrients $112/tonContributionfromremainder $101/ton

• MBSP results follow same trend as pond costs (largest driver on MBSP)

• Strong economy of scale advantages for pond design: $122/ton average premium for 2 vs 10 acre ponds

• $85/ton savings to move from 10 to 50 acre ponds, but becomes more speculative at such large scales

• For purposes of selecting a single MBSP value, average of the four 10-acre cases was used

TEADetails(averageof10-acrecases):

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NATIONAL RENEWABLE ENERGY LABORATORY

Sensitivity Analysis

10

Key drivers:• Productivity: dictates

economics, critical to achieve >25 g/m2/day

• Liners: adding full pond liners = >$120/ton MBSP penalty ($0.85/GGE MFSP impact on conversion costs)

• Farm size: 1,000 acres = $100/ton MBSP penalty ($70 labor cost + $30 capex)

$300

$400

$500

$600

$700

$800

$900

10 20 30 40 50

Algalbiomasss

ellin

gprice($/ton

)

Productivity(g/m2/day)

• CO2 cost/sourcing• Price for purchased CO2 (flue gas CCS) $0-100/tonne = +$100/ton MBSP• Additional scenarios considered for flue gas: 15 km flue gas transport infeasible• Flue gas co-located with power plant: possible to reduce MBSP ~$45/ton, but logistical challenges for pond delivery

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NATIONAL RENEWABLE ENERGY LABORATORY

Summary and Concluding Remarks

11

• Algal biomass costs are tied strongly to productivity + cost of ponds, followed by CO2 + nutrients

• To achieve economically viable MBSP, critical to:a) Increase productivity and strain robustnessb) Maximize economy of scale benefits using >10-acre pondsc) Maximize farm size to >5,000 acresd) Demonstrate pond operability without pond liners

• “Bottom-up” modeling targets a 2022 base case MBSP of $491/ton AFDW

• Updated conversion models project 2022 targets near $5-6/GGE for this cost (CAP + HTL)

• Possible to reduce biomass costs to ~$430/ton, but achieving $3/GGE will require fundamental shift towards coproducts

• CAP pathway is well-suited for coproduct opportunities: non-destructive isolation of sugar/lipid/protein constituents

• Coproducts are a key focus of our TEA work moving forward

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Questions?

Jennifer Markham Chris Kinchin Nick GrundlEric TanPhil PienkosLieve LaurensNick NagleBob McCormickJake KrugerMary Biddy

Dave Humbird, DWH ConsultingSue Jones, PNNLEd Frank, ANLJohn McGowen/Valerie Harmon, ATP3

Bill Crump, LeidosDavid Hazlebeck, GAIIan Woertz, Tryg Lundquist, John Benemann, MicroBio EngineeringJohn Lukas, Danielle Sexton, Harris GroupDesign report peer reviewers

12

Acknowledgements

FundingforthisworkwasprovidedbytheBioenergyTechnologiesOfficeintheDepartmentofEnergy'sOfficeofEnergyEfficiencyandRenewableEnergy.WethankDanielFishman,Christy

Sterner,andAlisonGossEngofthatprogramfortheirsupportandinput.

NREL, Sept, 2010, Pic #18229

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NATIONAL RENEWABLE ENERGY LABORATORY

Backup Slides

13

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NATIONAL RENEWABLE ENERGY LABORATORY

Facility layout – 5,000 acre farm

14

5,000acrefacilitybasedoncultivationarea(7-9kacretotalfootprint=~12sq.mi.)

Pondsdividedinto100-acreplots;eachplotincludescirculationpipelines+

primarydewatering

Terracedfacilitydesignovergradual1%slopewithcentraldewatering,

inoculum,conversionprocessingon-site

• 5,000 acre facility based on cultivation area (~7-9k acre total footprint)• Ponds divided into 100-acre plots; each plot includes circulation pipelines and primary

dewatering• Graded over gradual 1% continuous land slope = “terraced” design allowing for downhill

gravity circulation to central dewatering + downstream conversion (but requires uphill pumping of clarified water from central dewatering)

• Continuous cultivation/harvesting at a fixed 0.5 g/L AFDW harvest density from ponds• Freshwater base case avoids introducing subjectivity for proximity/cost of saline water sourcing

and brine disposal (consistent with prior harmonization models)• Blowdown still included to mitigate salt/inorganics <4,000 mg/L – taken off primary dewatering

recycle line (lowest algae concentration point = minimize biomass losses)

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NATIONAL RENEWABLE ENERGY LABORATORY

Inoculum system

15

• Inoculum system based on increasingly larger volume steps: PBR –covered lined ponds – open lined ponds

• Each step grows inoculum from 0.1 to 0.5 g/L based on the same seasonal productivities as main ponds

• Final stage inoculates production ponds at 0.1 g/L• Inoculum system sized to require inoculation once every 20 days during

peak summer season• Equivalent to 5% of facility ponds requiring re-inoculation each dayà Key nth plant assumption – robust strains withstanding frequent culture crashes

H2O+CO2+Nutrients

SeedTrain(fromlab)

Photobioreactor

CoveredPond LinedPond

H2OEvaporationLoss

ToCultivationPonds

H2O+CO2

+Nutrients

H2O+CO2

+Nutrients

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NATIONAL RENEWABLE ENERGY LABORATORY

Dewatering

16

• Primary dewatering occurs within the 100-acre modules to avoid circulating large volumes of water over entire facility

• Concentrates biomass from 0.5 g/L (0.05 wt% AFDW) to 10 g/L (1%) = 95% reduction in volume throughput

• Achieved using low-cost in-ground gravity settlers• Lowest-cost dewatering option, critical for economically processing tremendous harvested culture

volumes• Demonstrated at large scale at Cellana [Huntley et al] and WWT facilities in CA [MicroBio]• Highly strain-specific, but Scenedesmus is likely to settle well – assumed 4 hr settling time, 90% recovery

• Secondary dewatering = hollow fiber membranes• Demonstrated at large scale over sustained timeframe by GAI• Cost, performance based on inputs from GAI• Concentrates biomass to 130 g/L (13% AFDW) at >99% recovery

• Final dewatering = centrifugation• Established technology, standard for algal biomass concentration• Cost, performance based on inputs from engineering contractor (vendor quote)• Concentrates biomass to 200 g/L (20% AFDW) at 97% recovery

Fromponds0.5g/L0.05wt%

10g/L1.0wt%

Biomasstoupgrading

200g/L20.0wt%

Recycletoponds0.4g/L0.04wt%

130g/L13.0wt%

Recirculationtoponds0.1g/L0.01wt%

Blowdown0.1g/L0.01wt%

Settlersarelocatedin100-acrepondmodules

Membranesandcentrifugesarelocatedinthecentraldewateringfacility

Settlers Centrifuges

Membranes

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Other design considerations

17

• CO2• Sourcing via off-site flue gas carbon capture• Priced at $45/tonne delivered to facility gate (supercritical)

• Consistent with average future CCS price projections in literature, DOE target of $40/tonne by 2020-2025

• Additional costs for on-site storage and delivery to ponds• Bulk flue gas scenarios considered in sensitivity analysis

• Nutrients• Set based on stoichiometric biomass composition at harvest, plus 20% excess

allowance• No recycle credits are taken on front-end model, to remain agnostic to back end

conversion pathway; any recycle credits should be assigned to reduce $/gal MFSP instead

• Water circulation• Maintains consistency with harmonization models to source freshwater via

nearby ground water resource, ~0.8 mile pipeline distance to facility gate• On-site circulation accomplished with aqueducts for “downhill” circulation to

central dewatering, pipelines for “uphill” return of clarified effluent back to pond modules

• Storage• Model also includes major storage tanks• Dewatered biomass storage assumed to incur 1% loss to degradation – should

be processed as quickly as possible through downstream conversion

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Scale impacts for farm size

18

Significant economy of scale penalties <5,000 acre farm size• MBSP = $100/ton @ 1,000 acres,

$200/ton @ 500 acres• $70/ton labor, $30/ton capex

• MFSP = $2-3/GGE @ 1,000 acres, $5-6/GGE @ 500 acres

• Driven by scale more than biomass cost

• Also equipment operability concerns i.e. upgrading (min boundary = 1,000 bbl/day which is still very small)

• Central upgrading possible, but may lose ability to recycle nutrients (critical for LCA)

AlgalFarmSize(CultivationAcres) 5,000 1,000 500Algalbiomasstoconversion(AFDWton/day) 568 114 57Totalvolume flowtoconversion(MGD) 0.68 0.14 0.07CAPoilyieldtoupgrading(bbl/day) 1,060 212 107Biomasssellingprice(MBSP, $/tonAFDW) $491 $593 $691CAPpathwayMFSP($/GGE) $5.89 $8.04 $10.47HTLpathwayMFSP($/GGE)– perSueJones,PNNL $4.77 $7.74 $10.85NumberofCAPfacilitiestosupport5BGY 228 1,141 2,283NumberofHTLfacilitiestosupport5BGY 172 860 1,720

$5.89

$8.04

$10.47

$0

$2

$4

$6

$8

$10

$12

5,000 1,000 500

CAPMFSP($/G

GE)

FarmSize(Acres)

MFSPimpactduetobiomasscost

MFSPimpactduetoscale

BaseMFSPat5,000acrefarmsize

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TEA Details: Algal Biomass Design Case

19

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Sensitivities – Liners + Productivity

20

$667

$813

$537

$651 $644 $635 $617 $584 $552

$0

$100

$200

$300

$400

$500

$600

$700

$800

$900

Algalbiomasss

ellin

gprice($/ton

AFD

W)

OSBL

Dewatering

FullPondLiners

Ponds+Inoculum

FixedOPEXCosts

OtherVariableOPEX

Nutrients

CO2

$300

$400

$500

$600

$700

$800

$900

10 20 30 40 50

Algalbiomasss

ellin

gprice($/ton

AFD

W)

Productivity(g/m2/day)

Full liner costs contribute almost the same amount as pond + inoculum costs – significant incentive to prioritize locations based on soil characteristics

• Biomass cost follows similar asymptotic curves as found in prior TEA – very strong cost sensitivity <25 g/m2/day

• Above 35 g/m2/day, other costs start dominating (CO2 + nutrients contribute >$100/ton in base case)

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Additional Sensitivity Scenarios

21

• CO2: carbon capture vs bulk flue gas1) Bulk flue gas pipeline 15 km from source: requires more

power to transport the needed CO2 rate than the power generated to produce that amount of CO2

– Also translates to ~$49/tonne (vs $45/tonne target for purified CO2)

2) Flue gas co-location with algae facility (no significant off-site transport): $447/ton (~$45/ton MBSP savings) – But significant logistical/practicality questions regarding the use of multiple large ductwork pipelines routed around facility

• Alternative strains• Considered 9 total strain scenarios for tradeoffs in biomass

composition vs nutrient demands• Early-growth/high-protein biomass added up to $80/ton to

MBSP to sustain high N/P levels in biomass (*does not include N/P recycle considerations from downstream)

Fluegassource

60"

60"60"

48"

Centrif.Blower

IDFan

• Alternative dewatering scenarios1) Replace membranes with DAF

• Added substantial cost due to flocculant2) Replace membranes with EC

• Appears competitive with membranes, but requires large-scale demonstration

3) Replace membranes/centrifuge with filter press

• Potential to reduce MBSP by ~$15/ton but requires large-scale demonstration and may require a flocculant (would add to cost)

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Financial Assumptions: Algal Biomass Design Case

22

• Model maintains the use of standard financial assumptions employed for other (biorefinery conversion) cases

• Exceptions:• Indirect capital cost factors: treated separately for cultivation, dewatering, and

OSBL operations based on best expectations for how such costs may factor into fixed capital investment (FCI)

• Labor: adjusted labor FTE categories and rates to more reasonably reflect algae farm (versus standard rates employed for a biorefinery)• Labor costs scale inversely with pond size (fewer total ponds required when each

pond is larger size = fewer ponds to service and maintain)

Plantlife 30yearsDiscountrate(IRR) 10%Generalplantdepreciation 200%decliningbalance(DB)Generalplantrecoveryperiod 7yearsFederaltaxrate 35%Financing 40%equityLoan terms 10-year loan at 8% APRConstructionperiod 3yearsFirst12months’expenditures 8%Next12months’expenditures 60%Last12months’expenditures 32%

Workingcapital 5%offixedcapitalinvestmentStart-uptime 6monthsRevenuesduringstart-up 50%Variablecostsincurredduringstart-up 75%Fixedcostsincurredduringstart-up 100%

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Algal biomass design case: indirect capital cost allocations

23

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Algal biomass design case: capital cost details

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NATIONAL RENEWABLE ENERGY LABORATORY

Algal biomass design case: labor details

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