economic modeling of a lignocellulosic biomass biorefining industry

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ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY Francis M. Epplin Lawrence D. Mapemba Gelson Tembo Department of Agricultural Economics Oklahoma State University Agriculture as a Producer and Consumer of Energy

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Agriculture as a Producer and Consumer of Energy. ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY. Francis M. Epplin Lawrence D. Mapemba Gelson Tembo Department of Agricultural Economics Oklahoma State University. Biobased Products Research at Oklahoma State University. - PowerPoint PPT Presentation

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Page 1: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS

BIOREFINING INDUSTRY

Francis M. EpplinLawrence D. Mapemba

Gelson Tembo 

Department of Agricultural Economics

Oklahoma State University  

Agriculture as a Producer and Consumer of Energy

Page 2: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Biobased Products Research at Oklahoma Research at Oklahoma

State UniversityState University• Biomass feedstock production• Harvest, transport and storage• Bioconversion

– Gasification– Fermentation– Microbial catalysts

• Economics

Page 3: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Vision

Agriculture that provides feedstock for a biomass processing industry that produces economically competitive, and environmentally sound products.

Agriculture as a Producer and Consumer of Energy

Page 4: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY
Page 5: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Strategy

Biomass

Grow, harvest, store, and

transport

Gasifier

Convert biomass to producer gas

(CO, CO2, H2)

Bioreactor

Ferment producer gas to

ethanol and other useful

products

Page 6: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Gasification-Fermentation Could Use a Variety of Feedstocks

• Harvest windows differ across species• Use harvest machinery over many months• Reduce feedstock storage cost• Variable landscape• Reduce insect and disease risk

Page 7: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Research Questions

• Where would LCB be produced?• What feedstock or combination of feedstock is

economically optimal?• How much LCB harvest machinery would be

required? • How much of what species should be harvested

in each period (month)?• What quantity of LCB should be placed in field

storage in each period (month)?• What quantity of LCB should be placed in storage

at the biorefinery in each period (month)?

Page 8: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Research Questions(continued)

• What quantity of LCB should be removed from each storage location in each month?

• What is the optimal transportation flow of LCB from the field and from field storage to the biorefinery?

• What is the optimal size of the biorefinery?• Where should the biorefinery be located? • What products should the biorefinery produce?

Page 9: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Objective

to describe a modeling system that may be used to determine for a specific region

• the most economical sources of LCB, • timing of harvest,• time and location of storage,• inventory management,• biorefinery size,• and biorefinery location.

Page 10: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

http://www.blm.gov/nhp/300/wo320/slide12.html

Power River BasinWyomingCoal Mine

Page 11: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

http://www.carrtracks.com/prbcoal2.htm

Size Matters

Page 12: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

                                                           

                 

http://smtc.uwyo.edu/coal/trains/unit.asp

11,000 tons per day for one electric generating plant110 cars that transport 100-tons each (a mile of coal)

Coal at the mine mouth is about $5 per ton. It is shipped 1,100 miles to Oklahoma, for an additional $20 per ton. 80% of the cost of the coal is for transportation.

Page 13: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Quantity of Feedstock Required for a4,000 tons per day Biorefinery

• 1,400,000 tons of biomass per year• 17 dry tons per truck• 350 days of operation per year• 235 trucks per day• 24 hours per day• 9.8 trucks per hour

Neonatal coal

Page 14: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Modeling

• Harvest units• Harvest capacity depends upon

– Number of harvest days per month– Number of endogenously determined harvest

units• Farmer/landowner may be paid either a fixed rate

per ton (crop residue) or a fixed rate per acre (CRP acres)

Page 15: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Harvest Unit

• 6 mower conditioners• 6 rakes• 3 balers• 9 tractors• 1 in-field transporter• Average Investment of $590,000 / harvest

unit

• 10 people

Page 16: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Biomass Alternatives(Oklahoma)

• Crop residue– wheat straw (June-July)– corn stover (September-October)

• Production from Conservation Reserve Program acres (July-October)

• Established perennials (June-February)– native grasses (short, mixed and tall prairie grass)– improved pastures (Bermuda, fescue, old world

bluestem)• Convert and manage cropland specifically for the

production of biomass– switchgrass (model species) (July-February)

Page 17: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Oklahoma• 33 million acres in farms and ranches

– 50% rangeland– 25% permanent improved pasture and hay– 25% cropland (1 million acres in CRP)

• Alternative use for these agricultural and rural resources

Page 18: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Multi-region, Multi-period, Monthly time step,

Mixed Integer Mathematical Programming Model

• 77 counties (production regions)• 11 potential plant locations• 3 plant sizes (1,000, 2,000, 4,000 tons per day)• 9 potential feedstocks• 4 fertility levels for improved pasture grasses• Endogenously determined number of harvest units• Monthly harvest capacity restricted by harvest

days• 12 months• In-field storage• Storage at biorefinery• Designed for multiple products

Page 19: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Case Study

• Single Biorefinery• Pseudo product• Three Size Alternatives

– 1,000, 2,000, and 4,000 tons/day

• Two Feedstock Alternatives– Multiple feedstock

• Crop Residue, Native Range, Improved Pastures, Switchgrass

• Limited to 10% of existing acres by source per county

– CRP-only• Limited to 25% of CRP acres per county

Page 20: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Estimated Average Distance to Transport Lignocellulosic Biomass to a Biorefinery located in

Oklahoma from Multiple Feedstock Sources and from CRP-Only

49

64

78

98

147

0

50

100

150

1000 2000 4000

Biorefinery Size(tons/day)

Ave

rag

e F

eed

sto

ck

Tra

nsp

ort

(mil

es

)

Multiple Sources

CRP

Page 21: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Estimated Cost to Deliver Lignocellulosic Biomass to a Biorefinery; Multiple Feedstock Sources and

CRP-Only($/ton)

$32 $33$35

$64

$69

$0

$25

$50

$75

1000 2000 4000

Biorefinery Size(tons/day)

Fe

ed

sto

ck

Co

st

(del

iver

ed t

on

)

Multiple Sources

CRP

Page 22: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Estimated Quantity of Feedstock Harvested by Month for a 2,000 t/d Biorefinery; Multiple

Feedstock Sources and CRP-Only. (CRP Harvest is Limited by Policy to 120 Days Beginning with July

2.)

0

50,000

100,000

150,000

200,000

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Month

Fe

ed

sto

ck

Ha

rve

ste

d(t

on

s)

Multiple Sources

CRP

Page 23: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Estimated Quantity of Feedstock Stored by Month at Remote Sites for a 2,000 t/d

Biorefinery; Multiple Feedstock Sources and CRP-Only.

(CRP Harvest is Limited by Policy to 120 Days Beginning with July 2.)

0

100,000

200,000

300,000

400,000

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Month

Fie

ld S

tora

ge

(to

ns

)

Multiple Sources

CRP

Page 24: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Estimated Quantity of Feedstock Stored per Month at the Biorefinery for a 2,000 t/d

Biorefinery; Multiple Feedstock Sources and CRP-Only.

(Storage at the Biorefinery is Limited to 42,000 tons (21 days))

0

15,000

30,000

45,000

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Month

Sto

rag

e a

t B

iore

fin

ery

(t

on

s)

Multiple Sources

CRP

Page 25: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Feedstocks Selected by the Model for use by the 2,000 t/d Biorefinery with Multiple Sources.

CRP2%

Corn Stover0%Wheat Straw

9%

Native Grasses37%

Switchgrass52%

Page 26: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Findings

• The most economical system would process a variety of feedstocks

• Harvest would extend over as many months as permitted by weather and species

• Crop residues would not be a major feedstock in the region (narrow harvest window)

• Method of feedstock acquisition ($/t or $/acre) matters

• Given the quantity of LCB required, and the lack of an existing infrastructure to harvest and transport a continuous flow of massive quantities of LCB, it is likely that an integrated and centrally controlled harvest and transportation system would develop.

Page 27: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Findings (continued)

• The structure of a mature biomass to bioproducts industry that produces bulk commodities such as liquid fuel, from dedicated feedstocks such as switchgrass, may evolve to resemble a vertically integrated timber production and processing business

• Public policy that restricts business ties between feedstock production and feedstock processing is likely to hinder the development of an LCB biorefinery industry.

Page 28: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Challenges

• Identifying niche (profit generating) products• Isolating microbial catalysts• Funding pilot scale biorefinery• Competition

Page 29: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Benefits

• Environmental• Alternative use for range land • Alternative use for land enrolled in the

Conservation Reserve Program• Economic activity for rural areas

Page 30: ECONOMIC MODELING OF A LIGNOCELLULOSIC BIOMASS BIOREFINING INDUSTRY

Agriculture as a Producer and Consumer of Energy