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Learnings and reflections from system studies during phase 2

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Biogas Research Center - för utveckling av resurseffektiva biogaslösningar - Learnings and reflections from system studies during phase 2 Roozbeh Feiz biträdande universitetslektor [email protected] 2018-11-29
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Page 1: Learnings and reflections from system studies during phase 2

Biogas Research Center- för utveckling av resurseffektiva biogaslösningar -

Learnings and reflections from

system studies during phase 2

Roozbeh Feizbiträdande universitetslektor

[email protected]

2018-11-29

Page 2: Learnings and reflections from system studies during phase 2

System thinking: Seeing the bigger picture, for good!

Coordination, Alignment,

Inter-relations

Broad perspectives

Complementary perspectives

Page 3: Learnings and reflections from system studies during phase 2

• Potentials (how much?)

• Performance (how sustainable? how efficient?)

• Feasibility (how easy to implement?)

• Comparison (which option?)

• Analysis (what drivers and barriers?)

• Learning (how/what to improve?)

• Decision support

(what should we know to make

better decisions?)

Our approaches to systems study

System StudyResearch Question

• Decision support

(what should we know to make

better decisions?)

Page 4: Learnings and reflections from system studies during phase 2

Overview of a few of our system studies

Multi-Criteria Analysis

(qualitative & quantitative)

Life-Cycle Assessment

(quantitative)

Key Performance / Feasibility Indicators

Uncertainty management

Mass/energyanalysis

(quantitative)

Participatory Other(ex. Potential

study)

System study of biogas production from food waste (4 cases)

Systematic assessment of feedstock for biogas production

Land-based salmon farming and biogas production (Smögen Lax)

Biogas in sea-food processing cluster (Rena Hav)

Biogas role in biorefinery development (Skogn/SBF)

Biogas role in biorefinery development (Lantmännen Reppe)

Biogas production and market potential in Norrköping municipality

Indicators for well-to-wheel assessment of public transportation

Page 5: Learnings and reflections from system studies during phase 2

12.9 0.4 21.7 10.6 1.7 11.856.5

24.5 35.071.8

45.190.2

15.7 26.757.1

0

100

200

300

400

500

600

GW

h/y

ear Production potential, 2030

16.5 4.0 3.7 35.0 123.0 9.3 113.6 30.0

456.0

135.2271.6

438.2

996.8

0

500

1000

1500

2000

2500

3000

GW

h/y

ear Market potential, 2030

Biogas potential in Norrköping Ex1: Biogas potential in Norrköping

Marcus Gustafsson, Axel Lindfors, Stefan Anderberg, Jonas Ammenberg, Mats Eklund (2018). Biogaslösningar i Norrköping — Potential för produktion och marknad

Page 6: Learnings and reflections from system studies during phase 2

• Potential feedstock exist mainly in:

– agricultural sector (although divided among many actors/farms)

– industries (mainly papermills – Braviken and Skärblacka).

• Potential demand exists mainly in:

– the transport sector, particularly heavy transports (trucks) and cars

• Potential demand is far higher than the potential production

– But, not all of the demand is expected to be covered by biogas

18-12-03

Biogas potential in Norrköping

Ex1: Biogas potential in Norrköping

Marcus Gustafsson, Axel Lindfors, Stefan Anderberg, Jonas Ammenberg, Mats Eklund (2018). Biogaslösningar i Norrköping — Potential för produktion och marknad

Page 7: Learnings and reflections from system studies during phase 2

Biogas role in biorefinery development

• Lantmännen Reppe wheat-ethanol biorefinery in Lidköping; produces ethanol,gluten, starch and syrup from wheat

• What are the most suitable ways of treating the byproduct, stillage? (produce fodder, directly use as biofertilizer, or anaerobically digest and produce biogas and biofertilizer?)

• Comparison of the scenarios using multi-criteria analysis

Ex2: Lidköpingwheat-ethanol

biorefinery

Linda Hagman and Roozbeh Feiz (manuscript, 2018). Assessing the sustainability of a Swedish wheat-ethanol biorefinery through a method focusing on feasibility and life-cycle performance

Page 8: Learnings and reflections from system studies during phase 2

Key area Indicator FOD FERT INCIN LB Fuel

LB Power

DB Fuel

Profitability or cost efficiency (performance)

Profitability or cost efficiency

Good

***

Poor

***

Very Poor

***

Good

***

Fair

***

Good

***

Transportation efficiency

Fair

***

Very

Good

***

Very Good

***

Very

Good

***

Very

Good

***

Very Poor

***

Reduced load on waste systems

Very Good ***

Very Good ***

Poor

***

Very Good ***

Very Good ***

Very Good ***

Energy and environmental performance, nutrients and resource economy (performance)

Nutrient recirculation

Very

Good

***

Very

Good

***

Very Poor

***

Very

Good

***

Very

Good

***

Very Good

***

Energy efficiency Fair ***

Fair ***

Very Poor ***

Very Good

***

Very Good

***

Very Good ***

GHG efficiency Fair ***

Poor ***

Very Poor ***

Very Good

***

Very Good

***

Very Good ***

Local/regional environmental impact

Good **

(Poor)

Fair

**

Fair

**

Good

**

Good

**

Good

**

Geographical and physical suitability

Geographical and physical suitability

Good

***

Good

***

Poor

***

Good

***

Good

***

Poor

***

Technical feasibility (feasibility)

Technological readiness Good

*** Good ***

Very Poor ***

Good

***

Very

Good

***

Good

***

Infrastructural readiness

Very

Good

***

Very

Good

***

(Fair)

Poor

**

Good

***

Very

Good

***

Good

***

Organisational feasibility (feasibility, low risk)

Actor’s readiness

Very

Good

***

Good

***

Good

***

Very

Good

***

Very

Good

***

(Fair)

Good

**

Public acceptance and institutional feasibility (feasibility, low risk)

Public acceptance

Good

***

Fair

**

(Good)

Very Good

***

Fair

**

Fair

**

Fair

**

Institutional support and administration

Fair

**

Fair

**

(Poor)

Fair

**

Good

**

Good

**

Good

**

Planning horizon and clarity of business

Fair

***

Fair

***

(Good)

Fair

***

Very

Good

***

Very

Good

***

Very Good

***

Market accessibility and control (low risk)

Upstream accessibility and control

Very

Good

***

Very

Good

***

(Good)

Very Good

***

Very

Good

***

Very

Good

***

Very Good

***

Downstream accessibility and control

Good

***

Fair

***

Very Good

***

Good

**

Very

Good

***

Good

**

Sidestream accessibility and control

Irrel-

evant Irrelevant

Good

***

Good

***

Good

***

Good

***

Risk avoidance

(low risk)

Long-term risk-avoidance

Fair

**

Fair

**

Fair

**

Fair

**

Fair

**

Fair

**

Bio cascading Good

***

Good

***

Good

***

Very

Good

***

Good

***

Very Good

***

Biogas role in biorefinery development

Ex2: Lidköpingwheat-ethanol

biorefinery

Linda Hagman and Roozbeh Feiz (manuscript, 2018). Assessing the sustainability of a Swedish wheat-ethanol biorefinery through a method focusing on feasibility and life-cycle performance

• From almost all the studied aspects, the scenarios involving biogas production from stillage showed goodperformance and feasibility

• Biogas has helped the growth of the studied biorefinery

Page 9: Learnings and reflections from system studies during phase 2

Key area Indicator FOD FERT INCIN LB Fuel

LB Power

DB Fuel

Profitability or cost efficiency (performance)

Profitability or cost efficiency

Good

***

Poor

***

Very Poor

***

Good

***

Fair

***

Good

***

Transportation efficiency

Fair

***

Very

Good

***

Very Good

***

Very

Good

***

Very

Good

***

Very Poor

***

Reduced load on waste systems

Very Good ***

Very Good ***

Poor

***

Very Good ***

Very Good ***

Very Good ***

Energy and environmental performance, nutrients and resource economy (performance)

Nutrient recirculation

Very

Good

***

Very

Good

***

Very Poor

***

Very

Good

***

Very

Good

***

Very Good

***

Energy efficiency Fair ***

Fair ***

Very Poor ***

Very Good

***

Very Good

***

Very Good ***

GHG efficiency Fair ***

Poor ***

Very Poor ***

Very Good

***

Very Good

***

Very Good ***

Local/regional environmental impact

Good **

(Poor)

Fair

**

Fair

**

Good

**

Good

**

Good

**

Geographical and physical suitability

Geographical and physical suitability

Good

***

Good

***

Poor

***

Good

***

Good

***

Poor

***

Technical feasibility (feasibility)

Technological readiness Good

*** Good ***

Very Poor ***

Good

***

Very

Good

***

Good

***

Infrastructural readiness

Very

Good

***

Very

Good

***

(Fair)

Poor

**

Good

***

Very

Good

***

Good

***

Organisational feasibility (feasibility, low risk)

Actor’s readiness

Very

Good

***

Good

***

Good

***

Very

Good

***

Very

Good

***

(Fair)

Good

**

Public acceptance and institutional feasibility (feasibility, low risk)

Public acceptance

Good

***

Fair

**

(Good)

Very Good

***

Fair

**

Fair

**

Fair

**

Institutional support and administration

Fair

**

Fair

**

(Poor)

Fair

**

Good

**

Good

**

Good

**

Planning horizon and clarity of business

Fair

***

Fair

***

(Good)

Fair

***

Very

Good

***

Very

Good

***

Very Good

***

Market accessibility and control (low risk)

Upstream accessibility and control

Very

Good

***

Very

Good

***

(Good)

Very Good

***

Very

Good

***

Very

Good

***

Very Good

***

Downstream accessibility and control

Good

***

Fair

***

Very Good

***

Good

**

Very

Good

***

Good

**

Sidestream accessibility and control

Irrel-

evant Irrelevant

Good

***

Good

***

Good

***

Good

***

Risk avoidance

(low risk)

Long-term risk-avoidance

Fair

**

Fair

**

Fair

**

Fair

**

Fair

**

Fair

**

Bio cascading Good

***

Good

***

Good

***

Very

Good

***

Good

***

Very Good

***

Biogas role in biorefinery development

Ex2: Lidköpingwheat-ethanol

biorefinery

Key area Indicator FOD FERT INCIN LB Fuel

LB Power

DB Fuel

Profitability or cost efficiency (performance)

Profitability or cost efficiency

Good

***

Poor

***

Very Poor

***

Good

***

Fair

***

Good

***

Transportation efficiency

Fair

***

Very

Good

***

Very Good

***

Very

Good

***

Very

Good

***

Very Poor

***

Reduced load on waste systems

Very Good ***

Very Good ***

Poor

***

Very Good ***

Very Good ***

Very Good ***

Energy and environmental performance, nutrients and resource economy (performance)

Nutrient recirculation

Very

Good

***

Very

Good

***

Very Poor

***

Very

Good

***

Very

Good

***

Very Good

***

Energy efficiency Fair ***

Fair ***

Very Poor ***

Very Good

***

Very Good

***

Very Good ***

GHG efficiency Fair ***

Poor ***

Very Poor ***

Very Good

***

Very Good

***

Very Good ***

Local/regional environmental impact

Good **

(Poor)

Fair

**

Fair

**

Good

**

Good

**

Good

**

Geographical and physical suitability

Geographical and physical suitability

Good

***

Good

***

Poor

***

Good

***

Good

***

Poor

***

Technical feasibility (feasibility)

Technological readiness Good

*** Good ***

Very Poor ***

Good

***

Very

Good

***

Good

***

Infrastructural readiness

Very

Good

***

Very

Good

***

(Fair)

Poor

**

Good

***

Very

Good

***

Good

***

Organisational feasibility (feasibility, low risk)

Actor’s readiness

Very

Good

***

Good

***

Good

***

Very

Good

***

Very

Good

***

(Fair)

Good

**

Public acceptance and institutional feasibility (feasibility, low risk)

Public acceptance

Good

***

Fair

**

(Good)

Very Good

***

Fair

**

Fair

**

Fair

**

Institutional support and administration

Fair

**

Fair

**

(Poor)

Fair

**

Good

**

Good

**

Good

**

Planning horizon and clarity of business

Fair

***

Fair

***

(Good)

Fair

***

Very

Good

***

Very

Good

***

Very Good

***

Market accessibility and control (low risk)

Upstream accessibility and control

Very

Good

***

Very

Good

***

(Good)

Very Good

***

Very

Good

***

Very

Good

***

Very Good

***

Downstream accessibility and control

Good

***

Fair

***

Very Good

***

Good

**

Very

Good

***

Good

**

Sidestream accessibility and control

Irrel-

evant Irrelevant

Good

***

Good

***

Good

***

Good

***

Risk avoidance

(low risk)

Long-term risk-avoidance

Fair

**

Fair

**

Fair

**

Fair

**

Fair

**

Fair

**

Bio cascading Good

***

Good

***

Good

***

Very

Good

***

Good

***

Very Good

***

Linda Hagman and Roozbeh Feiz (manuscript, 2018). Assessing the sustainability of a Swedish wheat-ethanol biorefinery through a method focusing on feasibility and life-cycle performance

• From almost all the studied aspects, the scenarios involving biogas production from stillage showed goodperformance and feasibility

• Biogas has helped the growth of the studied biorefinery

Page 10: Learnings and reflections from system studies during phase 2

• Considering four co-digestion plants that use food waste for producing biogas

– More biogas (Kalmar), Tekniska verken (Linköping), Scandinavian biogas (Södertörn), VMAB (Mörrum)

• Assess the life-cycle environmental and economic performance of biogas production from

food waste

– systems analysis, energy analysis

– key performance indicators

– uncertainty analysis

18-12-03

System analysis of biogas from food waste

Ex3: Biogas fromfood waste

Page 11: Learnings and reflections from system studies during phase 2

System analysis of biogas from food waste

SysBiogas v.1: an Excel-based model for life-cycle analysis of biogas solutions• Flows: mass (wet, dry), energy,

macro nutrients, water

• GWP, PE, Cost, etc.

• Uncertainty management,Monte-Carlo simulation

• Sensitivity analysis

Ex3: Biogas fromfood waste

Page 12: Learnings and reflections from system studies during phase 2

• A few Key Performance

Indicators are suggested

to capture the

performance of biogas

production from food

waste

• Example: effective

methane yield

System analysis of biogas from food waste

Ex3: Biogas fromfood waste

250

300

350

400

450

500

Lab estimate Usable CH4/tonnemeal

DeliveredCH4/tonne meal

DeliveredCH4/tonnecollected

foodwaste

Usable CH4/tonnecollected

foodwaste

DeliveredCH4/tonne

foodwaste (atsource)

Nm

3C

H4/

t V

S

Effective methane yield

A1 B1 B2 B3 C1 C2 D1

Key Performance Indicators for biogas production—Integrated assessment of producing biogas from food waste (manuscript, 2018). Roozbeh Feiz, Maria Johansson, Emma Lindkvist, Jan Moestedt, Sören Nilsson Påledal, Niclas Svensson

Environmental and economic systems analysis of biogas production from household food waste—multiple cases from Sweden (manuscript, 2018). Roozbeh Feiz, Maria Johansson, Emma Lindkvist, Niclas Svensson

Page 13: Learnings and reflections from system studies during phase 2

KPIs: cumulative performance curves

Ex3: Biogas fromfood waste

0

5

10

15

20

25

30

35

FW (at source) FW (beforepretreatment)

FW (beforeAD)

Raw biogasand digestate

(produced)

Upgradedbiogas

(delivered)

Digestate(delivered)

Digestate(applied)

Avoidedmineral

fertilizersgr

CO

2-eq

/MJ

met

han

e d

eliv

ered

GWP of delivering 1 MJ methane (cum.)

A1 B1 B2 B3 C1 C2 D1

-10

-5

0

5

10

15

20

25

30

A1 B1 B2 B3 C1 C2 D 1

gr C

O2-

eq /

MJ d

eliv

ered

met

han

e

KPI---Global warming potential (ISO)

KPI---Global warming potential (RED)

Key Performance Indicators for biogas production—Integrated assessment of producing biogas from food waste (manuscript, 2018). Roozbeh Feiz, Maria Johansson, Emma Lindkvist, Jan Moestedt, Sören Nilsson Påledal, Niclas Svensson

Environmental and economic systems analysis of biogas production from household food waste—multiple cases from Sweden (manuscript, 2018). Roozbeh Feiz, Maria Johansson, Emma Lindkvist, Niclas Svensson

• Each of the studied biogas production systems has unique characteristics• In addition to the efficiency of digestion process itself, among the most important factors

that affect the performance of biogas production from food waste are:• Losses of organic material in separation, collection, and pretreatment• Amount and type of energy used for heating the plant• The need for additional digestate treatment due to excessive distance to farm areas

Page 14: Learnings and reflections from system studies during phase 2

• Versatile and complex

• Great potential for growth

• Values are much more than the biogas itself

• Role in biorefineries and biobased industrial development

– “enablers of growth”

• Technology, often not the main barrier

• Uncertain policies can act as barrier

• Developed and tested approaches, methods, frameworks, models, and tools

– Can be used for many different types of studies in future

• Learnings among the researchers, and hopefully all other colleagues and participants

What have we learned?

Page 15: Learnings and reflections from system studies during phase 2

Our main learnings are with our people!

• Jonas Ammenberg

– Docent, IEI-MILJÖ, [email protected]

• Igor Cruz

– Doktorand, IEI-ENSYS, [email protected]

• Marcus Gustafsson

– Postdoc, IEI-MILJÖ, [email protected]

• Linda Hagman

– Doktorand, IEI-MILJÖ, [email protected]

• Maria Johansson

– Biträdande universitetslektor, IEI-ENSYS, [email protected]

• Magnus Karlsson

– Universitetslektor, IEI-ENSYS, [email protected]

• Axel Lindfors

– Doktorand, IEI-MILJÖ, [email protected]

• Emma Lindkvist

– Doktorand, IEI-ENSYS, [email protected]

• Niclas Svensson

– Universitetslektor, IEI-MILJÖ, [email protected]

• Roozbeh Feiz

– Biträdande universitetslektor, IEI-MILJÖ, [email protected]

Page 16: Learnings and reflections from system studies during phase 2

• Life-cycle performance of various biogas production pathways;

and their competing alternatives

• Effect of scale, location, feedstock, and technology on the life-

cycle performance of biogas systems

• Life-cycle performance of different products and services, before

and after using biogas/biofertilizer in their system

• Effect of LBG on the expansion of the biogas market in the heavy

transport; potential, performance and feasibility

• Feasibility and performance of biogas solutions in international

contexts with Swedish relevance

• Potential role of biogas solutions for better nutrient recirculation

in the regions, considering real-world constraints

• How to better capture the diverse values of biogas solutions in

communicable terms?

• ...

Reflections on the way forward

Lets use tomorrow’s workshop for more discussion about this!

Page 17: Learnings and reflections from system studies during phase 2

Sure, models are always a bit different than reality, ...

... but I now know a bit more about biogas solutions and the strengths and weaknesses of systems analysis! Perhaps, this can only work by dialogue, sharing, flexibility and openness; and a curious but forgiving mind supported by a little bit of playfulness and endurance, and hopefully immune from arrogance!

Thank you for your attention!Roozbeh


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