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WBS 2.3.2.107 Separations in Support of Arresting Anaerobic Digestion Waste to Energy March 4-7, 2019 Eric M. Karp & Violeta Sànchez i Nogué National Renewable Energy Laboratory DOE Bioenergy Technologies Office (BETO) 2019 Project Peer Review

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Page 1: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

WBS 2.3.2.107 Separations in Support of Arresting Anaerobic Digestion

Waste to Energy

March 4-7, 2019

Eric M. Karp & Violeta Sànchez i Nogué

National Renewable Energy Laboratory

DOE Bioenergy Technologies Office (BETO) 2019 Project Peer Review

Page 2: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 2

Goal Statement

Goal: Demonstrate an integrated AD unit with online separations to produce

carboxylic acids from the bioconversion of waste feedstocks

• Contribute to 2022 BETO cost targets of $3/GGE for HC fuel production

• Leverages on-going work with other tasks for producing carboxylate platform chemicals

Relevance: Fuels from wastes are major benefit to the U.S. biorefinery infrastructure

• Lower feedstock cost through the use of waste

• In situ separations broadens chemicals produced from AD units

• Outcome: Demonstrate, scalable In Situ Product Recovery process for converting waste to

platform carboxylates

Aim 1: Mixed culture(s) for bio

acid production from of waste

feedstocks at pH < 5

Aim 2: In-situ separations to

remove VFA’s and arrest

methanogenesis

cells +

debris

Recycled

cells +

debris

Permeate

containing acid

AD UNIT CELL & DEBRIS

RETENTION DEVICE

Acid free

broth

MEMBRANE

CONTACTOR

DISTILLATION

COLUMN

NEAT ACID

PRODUCT

Extractant

+ Acid

Regenerated

Extractant

pH < 5

Lignocellulose

Municipal waste

Food waste

Animal waste

Page 3: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 3

Quad Chart Overview

• Start date: 10/2017 (FY 18)

• End date: 09/2020 (FY 20)

• Percent complete: 50%

• Feedstock availability and cost (Ft-A)– Waste feedstocks are cost advantaged, modular

deployment, on-site conversion

• Selective separation of organic species (Ct-O)– LLE selective to carboxylic acid removal

• First-of-a-kind technology development (ADO-F)– ISPR, arrested AD, solids handling of waste feedstocks

Timeline

Budget

Barriers Addressed

Demonstrate an integrated AD unit with online

separations to produce carboxylic acids from

the bioconversion of waste feedstocks

Objective

FY 18

Costs

FY 19

Costs

Projected

FY 20

Costs

Total Planned

Funding

(FY19–FY20)

DOE-

funded$250K $250K $250k $750K

• Identify and appropriate microbiome & waste

feedstock to produce VFA’s below a pH of 5

• Engineer an in situ separations system to remove

VFA’s as they are produced

• Demonstrate an integrated AD unit to produce VFA’s

and effectively arrest methanogenesis

End of Project GoalPARTNERS: Metro Wastewater Reclamation District

(Denver), Coors Brewing Company, JBS USA, New Belgium

Brewing Company, Agricultural Research Service USDA

(Horticultural Research Laboratory), Del Monte, Harvest

Power.

Page 4: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 4

Interactions with Biochemical Conversion Projects

2.5.5.502

Separations

Consortium

Waste-to-Energy

VFAs

2.3.2.107- READ (increasing hydrolysis

and VFA titers)

2.3.2.107- Separations Task (increasing VFAs and in situ removal)

CH4

2.3.2.201-Biogas

Valorization

5.1.3.102-Biomethanation

of Biogas

WTE Analysis

2.1.0.104- WTE System

Simulation

2.1.0.111-WTE TEA

2.1.0.112- WTE Feedstock evaluation

W2E Project Constellation

2.3.2.105

Biological upgrading

of sugars

Page 5: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 5

Project Overview

Project Objectives:

• Identify and appropriate waste feedstock to produce VFA’s below a pH of 5

• Engineer an in situ separations system to remove VFA’s as they are produced

• Demonstrate an integrated AD unit to produce VFA’s and effectively arrest methanogenesis

(1) Biofuels and Bioproducts from wet and gaseous waste streams: Challenges and opportunities, BETO, 2017

History: Biogas from AD has been around for centuries, only in the last decade has

technology targeting other chemicals from AD units been investigated.

• BETO has historically identified cost advantages for waste feedstocks over lignocellulosic

feedstocks1

• Feedstock cost identified as a major cost driver for HC biofuels2,3

(2) S. Chu & A. Majumdar, Nature, 2012, 488, 294

• Cost advantaged feedstock(s) over

lignocellulosic agricultural residues

• Non-sterile cultures

• Require modular manufacturing

approach Faster market adoption

• Significant infrastructure already in

place

Context: Differences over agricultural residues

(3) Ryan Davis et. al., Technical report # NREL/TP-5100-71949, 2018

Page 6: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

APPROACHSeparations in Support of Arresting Anaerobic Digestion

WBS 2.3.2.107

Page 7: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 7

Management Approach

• Develop culture / AD unit to digest a waste feedstock at pH < 5

• Engineer in situ separations system

• Demonstrate integrated unit to produce VFAs and effectively arrest methanogenisis

Violeta’s scope Eric’s scope

VFA’s

Bioconversion

(acidogenesis)

- AD engineering

- Feedstock analysis

- AD control methods

- VFA monitoring

- pH < 5 !!!

Separations

(arresting methanogenesis)D

em

on

str

ati

on

- ISPR engineering

- Process Modeling

- Energy analysis

- Product recovery &

characterization

Experienced task leads in

Bioconversion and

Separations

Collaborations with

- Separations Consortium (WBS 2.5.5.502)

- Analytical development and

support

- Reverse engineering AD (WBS 2.3.2.108)

- TEA team (WBS 2.1.0.111)

Approach:PI’s Scientists / interns (1 postdoc, 2 interns)

- Reports / slides - Collect data

- Design experiments / systems - Maintain / build equipment

- Prospecting - Carry out experiments

- Publish work - Data workup

Page 8: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 8

Technical Approach

Critical success factors

• Obtain multiple consortia for screening

• Understand rate limiting steps

Primary challenges:

• Maintain VFA production below a pH of 5 for

ISPR

• Methods for feedstock analysis not yet

developed

Aim 1: Identify, understand, and evolve

robust microbial community for VFA

production below pH 5

Critical success factors:

• Keep steady state acid titer below toxicity level

• Expand system developed in SepCon1 to

operate with mixed slate of VFAs

Primary challenges:

• Must handle solids present in AD units

• Extractant can not be toxic to consortia

Aim 2: Engineer in situ separation technology to

remove VFA’s as they are produced to arrest

methanogenesis.

(1) Saboe, Karp et al., Green Chem, 2018, 20 (8), 1791

Page 9: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

TECHNICAL ACCOMPLISHMENTSSeparations in Support of Arresting Anaerobic Digestion

WBS 2.3.2.107

Page 10: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 10

Technical Accomplishments – Outline

Consortia AD Biology

• Feedstock analysis (Cake & Rumen fiber)

• Feedstock digestions

• Identifying rate limiting steps

• Semi-continuous culture

In situ separations system

• Calculating needed VFA titers and pH

requirements

• Demonstration of VFA recovery

• Handling solids

• Engineering of in situ separations system

• Energy analysis

Demonstration / Integration

• Year 3 plans for integration

Page 11: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 11

Technical Accomplishments – Feedstock Analysis

Cake Rumen fiber

Structural

Non-structural

AS

H

Structural

Non-structural

PR

OT

EIN

w/ Water

w/ Ethanol

w/ Hexanes

EX

TR

AC

TIV

ES

Glucan

Xylan

Galactan

CA

RB

OH

YD

RA

TE

S

Ash

Protein

Extractives

Carbohydrates

Lignin

Example compositional analysis: Rumen fiber

Outcome

• We can now perform a basic compositional

analysis on non–conventional feedstocks

• Feedstocks highly different• Cake: Extractives, protein, and ash > 75%

• Rumen fiber: Carbohydrates > 50%

Hypothesis

We can modify current NREL analytical

methods to determine compositional analysis

of wet waste feedstocks

Page 12: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 12

Technical Accomplishments – Feedstock Digestions

0.0

0.5

1.0

1.5

2.0

2.5

3.0

P 0.75P+

0.25C

0.50P+

0.50C

0.25P+

0.75C

C P 0.75P+

0.25C

0.50P+

0.50C

0.25P+

0.75C

C

Concnetr

ation [

g/L

]

Lactic Acid Formic Acid Acetic Acid Propionic Acid

Butyric Acid Pentanoic Acid Hexanoic Acid Heptanoic Acid

0.0

0.5

1.0

1.5

2.0

2.5

3.0

P 0.75P+

0.25C

0.50P+

0.50C

0.25P+

0.75C

C P 0.75P+

0.25C

0.50P+

0.50C

0.25P+

0.75C

C

Concnetr

ation [

g/L

]

Lactic Acid Formic Acid Acetic Acid Propionic Acid

Butyric Acid Pentanoic Acid Hexanoic Acid Heptanoic Acid

Final stage

AD sludge

(~ pH 7)

Acid stage

AD sludge

(~ pH 5)

[CHI3] = 48 mg L-1[CHI3] = 4.8 mg L-1

Hypothesis

Different process components will

affect VFA production levels and

composition

Strategy

• Small vials

• Increase throughput

• Evaluated variables• Feedstock

• Inocula

• Iodoform

Outcome

• Similar levels of VFA production

regardless of feedstock

• Higher iodoform promotes longer

chain VFA production

• Stalled VFA production after an initial

constant VFA production rate

Page 13: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 13

0.0

5.0

10.0

15.0

20.0

25.0

30.0

Concnetr

ation [

g/L

]Lactic Acid Formic Acid Acetic Acid Propionic Acid

Butyric Acid Pentanoic Acid Hexanoic Acid Heptanoic Acid

Technical Accomplishments – Rate Limiting Steps

0

2

4

6

8

10

12

14

16

18

ctrl +Glu50 +Oil50 +YE10 ctrl +Glu50 +Oil50 +YE10

Concentr

ation [

g/L

]

Rumen fiberCake

0

5

10

15

20

25

30

ctrl +YE10 ctrl +YE10

Concentr

ation [

g/L

]

SlurryClarified liquor

Final pH 5.3 3.1 4.5 6.1 5.2 3.1 4.4 5.9

Final pH 3.12 3.27 2.98 3.64

Hypothesis

VFA production is limited by fermentability

of feedstock or low microbiome activity

Strategy

• Small vials

• Cake or Rumen fiber supplemented• Glucose

• Vegetable oil (Oil in chart)

• Yeast extract

• Performance of AD Inocula evaluated in

lignocellulosic substrates• Clarified liquor (w/o solids)

• Slurry (with solids)

Outcome

• Hydrolysis is the rate limiting step

• Bioconversion using AD microbial

consortia can occur at pH < 5

Page 14: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 14

Technical Accomplishments – Semi-continuous Culture

0.0

1.0

2.0

3.0

4.0

5.0

0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40

VF

A c

on

ce

ntr

atio

n [g/L

]

time [days]

Lactate Acetate Propionate Butyrate

Pentanoate Hexanoate Heptanoate Octanoate

BATCH SEMI-CONTINUOUS

4.5

4.9

5.3

5.7

6.1

6.5

0

500

1000

1500

2000

2500

0 500 1000

pH

Ga

s V

olu

me

[m

L]

Time [h]

BATCH SEMI-CONTINUOUSHypothesis

Scaling up the bioconversion step

will improve VFA production

Strategy

• 2L bioreactor (scale-up to

integrate with ISPR system)

• Cake and rumen as feedstock

• Semi-continuous mode

• Feed data to TEA team

Outcome

• Transition from batch to semi-

continuous mode improved VFA

titers

• Blending more fermentable

feedstocks required to improve

VFA production

Page 15: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 15

Technical Accomplishments – pH and Titer Requirements

Hypothesis• Modeling extraction physics key to determining

ISPR system viability

• Will define needed pH and titer requirements of AD

unit.

Outcome

• Using measured ratio of VFA’s

• Requires 17.8 g / L VFA’s at pH = 5

• Requires 9.5 g / L VFA’ at pH = 3

• With easily hydrolysable substrate culture

is already there!!

(1) Saboe, Karp et al., Green Chem, 2018, 20 (8), 1791 (2) https://github.com/NREL-SEPCON/LLE_Model_ISPR

Energetic feasibility limit

Org

an

ic c

on

c. (g

/ L

)

Steady State titer (g / L)

Strategy

• Mathematical model originally developed in

SepCon1,2 was adapted for mixed VFA profiles

• Applied using VFA profile measured in semi-

continuous culture

Page 16: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 16

Technical Accomplishments – Engineering ISPR System

Outcome

• Designed to handle solids up to 20 wt.%

• Gear pumps

• Pressure control

• Temperature control with heat tracing

Hypothesis

• ISPR system can be engineered to handle

long run times, solids, and variabilities

present in AD units

Strategy

• Custom buildout of ISPR system

specifically for AD units

Page 17: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 17

Technical Accomplishments – ASPEN Modeling

Hypothesis

• ASPEN models are key to building first

of a kind integrated ISPR – Distillation

system

VARY 1 B1 PARAM TEMPC

WT%

Wate

r

WT%

Acid

s

WT%

TO

A

130 140 150 160 170 180 190 200 210 220 230 240 250 260 270 280 290 3000.000

0.005

0.010

0.015

0.020

0.025

0.030

0.035

0.040

0.045

0.050

0.055

0.00

0.05

0.10

0.15

0.20

0.25

0.30

0.35

0.40

0.00

0.10

0.20

0.30

0.40

0.50

0.60

0.70

0.80

0.90

TOA

VAL

PROP

ACETIC

WATER

BUTYRIC

Strategy

• Using loading factors calculated from

mathematical model an ASPEN

process model was built

Outcome

• Co-extracted water into organic phase

is a key energy driver of the system

• Optimal flash drum conditions

• 230 °C at 0.16 atm

• Requires energy footprint of < 20% of

the heating value of the VFA’s

• Recovers 90 % of VFAs in single pass

Page 18: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 18

Technical Accomplishments – Engineering Flash Drum

Industrial S.S.

demister from Koch-

Glitsch

Open

Open (170 mL)

Glass beads (40 mL open

space)

Distillate flow

ratesC2

(g/hr)

C3

(g/hr)

C4

(g/hr)

C5

(g/hr)

Experimental 0.31 1.00 1.02 2.03

Aspen Plus 0.31 1.00 1.10 2.07

Hypothesis

• Can build bench scale flash

drum that matches ASPEN

Strategy

• Custom drum with 4 sections (right)

Outcome

• Distillate composition and rate

matches ASPEN

thermodynamically ideal system

Page 19: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

RELEVANCESeparations in Support of Arresting Anaerobic Digestion

WBS 2.3.2.107

Page 20: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 20

Relevance

Technology that converts a heterogenous waste feedstock to platform chemicals for liquid fuel production solves a major cost hurdle for the BETO 3$/GGE target

Relevance to bionenergy industry:

• Diversifies the slate of renewable chemicals and fuels that can be produced from an AD unit

• Industrial and academics can leverage the unique ISPR system

• Large existing infrastructure in industry for tech adoption

Contributions to BETO goals:

• Utilizing cost advantage waste feedstock directly address a key cost barrier towards the 3$/GGE target. Note lignocellulosic feedstock accounts for ~60-67% of a biofuel cost.1

Tech transfer & marketability:

• Technology enables ”modular” adoption approach to existing AD unit infrastructure in industry

• 1 ROI filed, patent application expected in year 3

(1) S. Chu & A. Majumdar, Nature, 2012, 488, 294.

Project success:

• Provides a paradigm shift in routes to renewable platform chemicals for fuels and other specialty chemicals. Non-sterile cultures, waste feedstocks, fast market adoption through modular manufacturing

Page 21: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 21

Relevance – Stakeholder Outreach and Engagement

Feedstock Supply

• Routine visits & interactions:

• JBS beef supplies cake and paunch material

• Denver waste water treatment

Consortia Prospecting

• Denver waste water treatment

• Harvest Power in Orlando

• Unique AD unit process array of wastes

• Coors & New Belgium

• CSU – cow rumen microbiome

Bioconversion + ISPR Engineering

• Scaleup equipment discussions with

• Belach Bioteknik AB – AD custom-made bioreactors

• Andritz – cell retention

• Pope Scientific – distillation units

• Bürkert – membrane contactors

Meetings

• Mini-Workshop on Anaerobic Digestion of Wet Waste organized by Violeta Sànchez i Nogué

& Steve Decker. Participants from national laboratories (18), industry (12), academia (7), and DOE (5).

Page 22: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

FUTURE WORKSeparations in Support of Arresting Anaerobic Digestion

WBS 2.3.2.107

Page 23: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 23

Future Work – Biology and Separations

Handling solids with ISPR (this year)

• Need to be able to pump solutions with 10-20 wt.% solids (gear pumps)

• Cell and debris removal prior to LLE (Rotating disc membrane)

• Operate in lower pH range 3 - 5

Quantifying energy footprint (this year)

• ASPENplus modeling of the systems separation energy footprint

Bioconversion (this year)

• Engineer semi-continuous culture to obtain process-relevant VFA titer and pH

• Evaluate alternative waste feedstocks to optimize and improve VFA production

• Continue advancing analytical methods for both VFA and feedstock composition analysis

Integration / demonstration (year 3)

• Test and validate ISPR system

• Integrate/demonstrate with live semi-continuous AD culture at >5 wt. % solids

• Report results, paper targeting EES

Page 24: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 24

Future Work – ISPR System Engineering

Upcoming milestones in FY!9

• Go/No-Go (End Q2): recover VFAs at least at a 30% recovery

level from a mock AD culture at titers of ~20 g/L in the

presence of partially digested, sterilized lignocellulose

• Annual Milestone (end Q4): Demonstration > 30% recovery of

VFAs at > 80% purity from a mock solution mimicking AD unit

composition WITH online distillation

Integration / demonstration (FY20, year 3)

• Annual milestone: Demonstrate fully integrated unit with live

semi-continuous AD culture

cells +

debris

Recycled

cells +

debris

Permeate

containing acid

AD UNIT CELL & DEBRIS

RETENTION DEVICE

Acid free

broth

MEMBRANE

CONTACTOR

DISTILLATION

COLUMN

NEAT ACID

PRODUCT

Extractant

+ Acid

Regenerated

Extractant

pH < 5

Page 25: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 25

Summary

1) Approach:

– Aim 1: Identify, understand, and evolve robust microbial community for VFA production below pH 5

– Aim 2: Engineer in situ separation technology to remove VFA’s as they are produced to arrestmethanogenesis.

2) Technical accomplishments:

– Demonstrated production of VFA from waste feedstocks in batch mode

– Established a semi-continuous culture for VFA production

– Calculated necessary titer and pH of AD unit (9.8 g/L VFAs at pH 3, and 17.8 g/L at pH 5)

– Demonstrated ability to recover 90% of VFAs from extractant via single pass flash distillation

– Built ISPR system with gear pumps, and flash drum for bench scale demonstrations in year 3.

3) Relevance:

– Utilizing cost advantage waste feedstock directly address a key cost barrier towardsthe 3$/GGE target. Note lignocellulosic feedstock accounts for ~60-67% of a biofuelcost.1

– Diversifies the slate of renewable chemicals and fuels that can be produced from an AD unit

5) Future work:

– ISPR engineering:

• Complete installation of the solids handling components to the ISPR system.

• Demonstrate system with low pH AD culture in FY19

(1) S. Chu & A. Majumdar, Nature, 2012, 488, 294.

Page 26: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 26

Acknowledgments

Industrial collaborators

• Christina Dorado - Agricultural Research Service USDA

(Horticultural Research Laboratory)

• Gary Aguinaga & Javier Corredor - Harvest Power

• Mark Risema, JBS USA

• Mark Fischer – New Belgium Brewing Company

• Jeremy Woolf – Coors Brewing Company

• Quintin Schermerhorn & Jim McQuarrie - Denver Metro

Wastewater Reclamation District

• BETO: Beau Hoffman and Mark Philbrick

• Brenna Black

• Steve Decker

• Stefan Haugen

• Lorenz Manker

• William Michener

• Hanna Monroe

• Darren Peterson

• Kelsey Ramirez

• Patrick Saboe

• Todd Shollenberger

• Justin Sluiter

• Venkat Subramanian

• Dylan Thomas

• Todd Vander Wall

• Todd Vinzant

Violeta

Sànchez i Nogué

Eric

Karp

Patrick

Saboe

Page 27: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

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.

www.nrel.gov

[email protected]

[email protected]

Thank You

Page 28: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 28

Publications

1. P.O. Saboe, D.C. Thomas, L. Manker, H. Monroe, G.T. Beckham, E.M. Karp*, V.

Sànchez i Nogué*,

“Platform Chemicals from the Anaerobic Digestion of Waste”, In prep.

Page 29: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 29

Presentations

1. SIMB Annual Meeting (August 12 – 16 2018 ∙ Chicago, IL – USA) V Sànchez i Nogué, E M Karp, P O Saboe, L P Manker, D J Peterson, W E Michener and G T Beckham. Production of volatile fatty acids through arresting anaerobic digestion. Invited oral presentation

2. SBFC Annual Meeting (April 28- May 1 2019 ∙ Seattle WA – USA) V Sànchez i Nogué, DC Thomas, PO Saboe, HR Monroe, GT Beckham, and EM Karp, submitted for oral presentation

Page 30: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

ADDITIONAL SLIDESSeparations in Support of Arresting Anaerobic Digestion

WBS 2.3.2.107

Page 31: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 31

Additional Slides – Initial screening: Feedstock digestions

Low level iodoform

Final stage AD unit inoculum: low level

iodoform

pH: pH 7 after inoculation

Evolution to 5.4 – 5.2

VFAs: Acetic

Propionic

Butyric

Pentanoic

Page 32: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 32

Additional Slides – Initial screening: Feedstock digestions

High level iodoform

Final stage AD unit inoculum: high level

iodoform

pH: pH 7 after inoculation

Evolution to 5.4 – 5.2

VFAs: Hexanoic

Heptanoic

Page 33: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 33

Additional Slides – Initial screening: Feedstock digestions

Low level iodoform

Acid stage AD unit inoculum : low level iodoform

pH: maintained at around 5 during cultivation VFAs: Acetic

Propionic

Minor: Butyric and pentanoic

Page 34: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 34

Additional Slides – Initial screening: Feedstock digestions

High level iodoform

Acid stage AD unit inoculum: high level iodoform

pH: maintained at around 5 during cultivation VFAs: Less Propionic

Presence of: Hexanoic and Heptanoic

Page 35: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 35

Additional Slides – Initial screening: Identifying Rate Limiting Steps

PAUNCH CAKE

DMR

Feedstock pH0 = 5.0; 5% (w/v)

Acid AD activated sludge (Denver WWTP); 10% (v/v)

High level of iodoform

35 ˚C, 150 rpm

Page 36: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 36

Technical Accomplishments – Identifying Rate Limiting Steps

0.0

5.0

10.0

15.0

20.0

25.0

30.0

ctrl +YE10 ctrl +YE10

Concnetr

ation [

g/L

]

Lactic Acid Formic Acid Acetic Acid Propionic Acid Butyric Acid Pentanoic Acid Hexanoic Acid Heptanoic Acid

0

2

4

6

8

10

12

14

16

18

ctrl +Glu50 +Oil50 +YE10 ctrl +Glu50 +Oil50 +YE10

Concentr

ation [

g/L

]

PaunchCake

2

3

4

5

6

7

8

0 100 200 300 400 500 600 700

pH

time [h]

Cake C+Glu50 C+Oil50 C+YE10

Paunch P+Glu50 P+Oil50 P+YE10

Outcome:

• Fermentability of feedstocks is crucial to

increase VFAs production

• Bioconversion using AD microbial consortia

can occur at pH < 5

0

5

10

15

20

25

30

ctrl +YE10 ctrl +YE10

Concentr

ation [

g/L

]

2

3

4

5

6

0 50 100 150 200

pH

time [h]

DMR DMR + YE10 DMR slurry DMR + YE10

DMR slurryDMR

Page 37: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 37

Technical Accomplishments – Feedstock Analysis

Rumen fiber

Cake

Structural

Non-structuralAS

H

Structural

Non-structural

PR

OT

EIN

w/ Water

w/ Ethanol

w/ Hexanes

EX

TR

AC

TIV

ES

GlucanXylanGalactanArabinanFructanAcetylNon-oligomersC

AR

BO

HY

DR

AT

ES

Structural

Non-structuralA

SH

Structural

Non-structural

PR

OT

EIN

w/ Water

w/ Ethanol

w/ Hexanes

EX

TR

AC

TIV

ES

GlucanXylanGalactanArabinanFructanAcetylNon-oligomersC

AR

BO

HY

DR

AT

ES

Page 38: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 38

Additional Slides – What is ISPR?

Typical ISPR systems

• Utilize membrane contacting units to

mitigate the toxicity of the organic

extractant

• Systems commonly look like that to the

right.1

• Scalable equipment

Membrane

ContactorsPeristaltic

Pump

Pressure

Gauge

Valve

Organic

phase NaOH

Feed

Aqueous phase

1. RS Nelson, DJ Peterson, EM Karp, GT Beckham, D Salvachúa Fermentation 3 (1), 10

Page 39: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 39

Additional Slides – ISPR Energy Footprint

• Background: Energy footprint of ISPR must not be more than the ∆Hcombustion of target product• Hypothesis: heat integration in downstream distillation can reduce energy footprint• Result: ASPEN models calculate ISPR system energy footprint to be < 20% of the heat of combustion of the

separated acid (targets > 98% purity)• Outcome: Full ASPEN models for ISPR system to size equipment and calculate energy footprint1

(1) Saboe, Karp et al., Green Chem, 2018, 20 (8), 1791

Page 40: DOE Bioenergy Technologies Office (BETO) 2019 Project Peer ... · • Yeast extract • Performance of AD Inocula evaluated in lignocellulosic substrates • Clarified liquor (w/o

NREL | 40

Rotating disc ceramic membranes

• Low pH tolerant (or high pH)

• Can operate in > 30 wt.% solids environments

• May be able to filter down to 60 nm

• Retentates can be as viscous as peanut butter

Additional Slides – Cell + Debris Retention Device