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Comparative waterfootprint profile of vegetable oils for biodiesel production Carla Caldeira 1 , Paula Quinteiro 2 , Erica Castanheira 1 , Ana C. Dias 2 Luís Arroja 2 , Fausto Freire 1 1: Center for Industrial Ecology, ADAI-LAETA Dept. of Mechanical Engineering University of Coimbra 2: Centre for Environmental and Marine Studies (CESAM), Department of Environment and Planning University of Aveiro [email protected]

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Page 1: Comparative waterfootprint profile of vegetable oils for ...wulca-waterlca.org/pdf/case_study/Biofuel_Caldeira.pdf · Comparative waterfootprint profile of vegetable oils for biodiesel

Comparative waterfootprint

profile of vegetable oils for

biodiesel production

Carla Caldeira1, Paula Quinteiro2, Erica Castanheira1, Ana C. Dias2

Luís Arroja2, Fausto Freire1

1: Center for Industrial Ecology, ADAI-LAETA Dept. of Mechanical Engineering

University of Coimbra

2: Centre for Environmental and Marine Studies (CESAM), Department of Environment and Planning

University of Aveiro

[email protected]

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• Waterfootprint profile (water consumption and water degradability) assessment

of four different vegetable oils used for biodiesel production following the ISO

14046 guidelines

• Compare two methods to assess water consumption: WSI (Pfister et al. 2009;

Pfister & Ridoutt 2013)) and AWARE (Boulay et al. 2015)

• Comparison of 4 alternative feedstocks for biodiesel: rapeseed, soybean, palm

and waste cooking oil (Functional unit: 1 kg of oil)

• Addressing cultivation in different countries

• The results will be used by a biodiesel producer to support decision planning on

the selection of “oil blends” for biodiesel production

2

1. GOAL AND SCOPE

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System Boundaries

1. GOAL AND SCOPE

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Impact categories

• Water comsumption (Pfister 2009, Aware 2015)

• Eutrophication (Recipe)

• Acidification (Impact 2002 +)

• Ecotoxicity (Usetox)

• Human toxicity (Usetox)

Water

degradability

General assumptions

• No infraestructures

• No specific agricultural activities/ general process for diesel agricultural machinary

• Transportation of chemicals and materials not included

• Transportation Seeds/beans/oil /WCO collection included

Water

consumption

4

1. GOAL AND SCOPE

Multifunctionality

• Energy allocation (Renewable Energy Directive approach)

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2. LIFE-CYCLE INVENTORY

STAGE DATA SOURCE

CULTIVATION

(1) Pfister, S., Bayer, P., 2014. Monthly water stress: spatially and temporally explicit consumptive water footprint of global crop production. J. Clean. Prod. 73, 52–62 (2) Malça, J., Coelho, A., Freire, F., 2013. Environmental Life-Cycle Assessment of Rapeseed-Based Biodiesel: Alternative Cultivation Systems and Locations. Appl. Energy. (3) Castanheira, É.G., Acevedo, H., Freire, F., 2014. Greenhouse gas intensity of palm oil produced

in Colombia addressing alternative land use change and fertilization scenarios. Appl. Energy 114, 958–967 (4) Castanheira, É.G., Freire, F., 2013. Greenhouse gas assessment of soybean production: Implications of land use change and different cultivation systems. J. Clean. Prod. 54, 49–60 (5) Castanheira, É.G., Grisoli, R., Coelho, S., Anderi da Silva, G., Freire, F., 2015. Life-cycle assessment of soybean-based biodiesel in Europe: comparing grain, oil and biodiesel import from

Brazil. J. Clean. Prod. 102, 188–201. (6) Ecoinvent database

EXTRACTION (2) (3) (4) (5) (6)

TRANSPORTATION

WCO COLLECTION (7) Caldeira C., Queirós J., Freire F., 2015. Biodiesel from Waste Cooking Oils in Portugal: alternative collection systems. Waste and Biomass Valorization 6, 771–779.

PRE-TREATMENT (2) (3) (4) (5) (6) (7)

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6

3. IMPACT ASSESSMENT

FOREGROUND DATA

BACKGROUND DATA

CF country specific

CF GENERIC

Sensitivity Analysis

RER /RoW

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0

20

40

60

80

100

120

140

160

m3

eq

/kg

oil

AWARE

Refining

Transp / Collec

Extraction

Cultivation

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3. IMPACT ASSESSMENT – WATER SCARCITY

LC STAGE CONTRIBUITION

0

0.5

1

1.5

2

2.5

m3

eq

/kg

oil

WSI

Refining

Transp / Collec

Extraction

Cultivation

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

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0.0

20.0

40.0

60.0

80.0

100.0

120.0

140.0

160.0

m3

eq

/ kg

oil

AWARE

RER

ROW

0

0.2

0.4

0.6

0.8

1

1.2

1.4

m3

eq

/kg

oil

WSI

RER

ROW

0

0.005

0.01

0.015

WCO_PT _High % FFA

WCO_PT Low % FFA

m3

eq

/kg

oil

WSI

0.0

0.2

0.4

WCO_PT _High % FFA

WCO_PT Low % FFA

m3

eq

/kg

oil

AWARE

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3. IMPACT ASSESSMENT – WATER SCARCITY

Sensitivity analysis on the background CF – RER or RoW

Similar results using the RER or

ROW CF in the background

system

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Eutrophication and Acidification

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3. IMPACT ASSESSMENT – WATER QUALITY RELATED IMPACTS

Virgin Oils

Cultivation stage

WCO

Collection

0

0.0004

0.0008

0.0012

0.0016

0.002

kg P

eq

/kg

oil

Freshwater eutrophication

Refining

Transp / Collec

Extraction

Cultivation

0

0.01

0.02

0.03

0.04

0.05

kg N

eq

/kg

Oil

Marine eutrophication

Refining

Transp / Collec

Extraction

Cultivation

0

0.005

0.01

0.015

0.02

0.025

0.03

0.035

kg S

O2

eq

/kg

Oil

Aquatic acidification

Refining

Transp / Collec

Extraction

Cultivation

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Feedstocks with higher impacts

WATER CONSUMPTION

WSI/AWARE Rapeseed_SP Soya_AR Rapeseed_FR

WATER QUALITY RELATED IMPACTS

Freshwater eutrophication

Rapeseed_US Soya_Br Soya_AR

Marine eutrophication

Rapeseed_US Rapeseed_FR Rapeseed_SP

Aquatic Acidification

Rapeseed_US Rapeseed_SP Rapeseed_CN

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4. FEEDSTOCKS WITH HIGHER IMPACTS

Cultivation Cultivation

• Impacts in water quality of the cultivation stage are due to the fertilizers use

(Phosphates – FE; Ammonia and Nitrates, Nitrogen fertilizers – ME; Ammonia and

Ammonium nitrate – AA)

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5. MAIN CONCLUSIONS

• Both methods (WSI and AWARE) used to address water scarcity

provide the same conclusions

• The higher water scarcity impact was calculated for Rapeseed _Sp

• The higher water degradability impacts was calculated for

Rapeseed_US

• Cultivation is the stage that contibutes the most to water scarcity

and water degradability

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[email protected]

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THANK YOU!