comparative life cycle assessment of five different

1
2.-0 LCA consultants -for high quality decision support www.lca-net.com COMPARATIVE LIFE CYCLE ASSESSMENT OF FIVE DIFFERENT VEGETABLE OILS OBJECTIVES To evaluate the environmental impacts of several major vegetable oils (Fig. 1), providing decision support for situations where these oils are substitutable. Ivan Muñoz, Jannick Hoejrup Schmidt*, Randi Dalgaard 2.-0 LCA consultants, Skibbrogade, 5, 1, 9000, Aalborg, Denmark *Email: [email protected] METHODS Consequential life cycle inventory (CLCI) modelling The attributional approach would fail to comply with the purpose of the study, which focuses on predicting the consequences of choosing different oils. CLCI involved applying system expansion rather than allocation, and marginal rather than average suppliers. Production of refined vegetable oils is associated with by-products, namely oil meals from the oil mills and free fatty acids (FFA) from the refining process. Both are used as animal feed. Oil meals and FFA will substitute marginal suppliers of feed protein and feed energy in proportion with their protein and energy content. Fig 1. Vegetable oils under study. Palm oil Soybean oil Rapeseed oil Sunflower oil Peanut oil Scope and assumptions The oils were inventoried from cradle to gate, including: 1) oil crop cultivation, 2) oil mill, and 3) refinery. The palm oil system includes an additional step, since the kernels are sent to another oil extraction step. Fig. 2 shows the process diagram for palm oil and rapeseed oil. The functional unit is 1 ton of refined oil. Marginal suppliers are summarised in Table 1. Feed protein is based on Brazilian soybean, whereas feed energy is based on barley from Ukraine. For all systems the determining product is the oil, whereas in soybean it is the meal. Thus demanding soybean oil does not lead to soybean oil production, but to the marginal oil production, assumed to be palm oil. Indirect land use change (iLUC) is included by means of a deterministic model taking into account land transformation and land intensification (Fig. 3) [1]. Impact assessment is performed at midpoint, including Greenhouse- gas (GHG) emissions, water use, water use adjusted for the Water stress index (WSI) and land occupation. Temporary biogenic carbon sequestration in the oil is included as a negative emission of -2.8 kg CO 2 /kg oil. Fig. 2. Process diagrams for palm oil (left) and rapeseed oil (right). NBD: neutralized, bleached, deodorized, FFB: fresh fruit bunches, CPO: crude palm oil, CPKO crude palm kernel oil, FFA: free fatty acids, PO: palm oil, PKO: palm kernel oil, PKM: palm kernel meal, RSM: rapeseed meal, CRSO: crude rapeseed oil. Product Fresh fruit bunches Soybean Rapeseed Sunflower Peanut Barley Supplier Malaysia/Indonesia Brazil EU27 Ukraine India Ukraine Table 1. Marginal suppliers of main raw materials. Fig. 3. Conceptual representation of the iLUC model used in the study. RESULTS 2024 2024 262 760 4717 0 1000 2000 3000 4000 5000 Palm oil Soybean oil Rapeseed oil Sunflower oil Peanut oil Global warming (incl. iLUC), kg CO 2 Ceq 1418 1418 %96 %178 2124 %500 0 500 1000 1500 2000 2500 Palm oil Soybean oil Rapeseed oil Sunflower oil Peanut oil Global warming (excl. iLUC), kg CO 2 Deq 7.13 7.13 &362 &431 2477 &1000 &500 0 500 1000 1500 2000 2500 3000 Palm oil Soybean oil Rapeseed oil Sunflower oil Peanut oil Water use 7 blue, m 3 !0.3 !0.3 !19 !26 2981 !500 0 500 1000 1500 2000 2500 3000 3500 Palm oil Soybean oil Rapeseed oil Sunflower oil Peanut oil Water use 7 WSI, m 3 7eq 1712 1712 2352 11150 18750 0 5000 10000 15000 20000 Palm oil Soybean oil Rapeseed oil Sunflower oil Peanut oil Land occupa8on, m 2 year GHG emissions are lowest for rapeseed oil and the highest for peanut oil. The latter is related to low yield. iLUC substantially increases GHG emissions, but the ranking is not changed. Rapeseed oil and sunflower oil involve a net saving of freshwater, due to the displacement of animal feed through meal by-product. The inclusion of the WSI factor does not change the ranking of oils in terms of water use. Land occupation is higher for peanut oil and sunflower oil, due to lower yields. The results of palm oil and soybean oil are equal since soybean oil is constrained (the meal is determining). Consequently, demand for soybean oil leads to production of the marginal oil, i.e. palm oil. Fig. 4. Results per ton refined oil. Global Warming includes biogenic carbon sequestration in the oil. References: [1] Schmidt J H, et al. (2012) A model of indirect land-use change. 8th International Conference on LCA in the AgriFood Sector, 14 Oct 2012, St. Malo, France. [2] Schmidt J H (2014) Life cycle assessment fo five vegetable oils. Journal of Cleaner Production, submitted. Indirect land use changes (iLUC) Oil palm cultivation Productive land CO2 N2O CO2 Productive land Productive land Transformation of land Market for land Fertiliser Tractors Diesel Intensification of land

Upload: others

Post on 08-Feb-2022

4 views

Category:

Documents


0 download

TRANSCRIPT

2.-0 LCA consultants -for high quality decision support

www.lca-net.com

COMPARATIVE LIFE CYCLE ASSESSMENT OF FIVE DIFFERENT VEGETABLE OILS

OBJECTIVES •  To evaluate the environmental impacts of several major vegetable oils (Fig. 1),

providing decision support for situations where these oils are substitutable.

Ivan Muñoz, Jannick Hoejrup Schmidt*, Randi Dalgaard

2.-0 LCA consultants, Skibbrogade, 5, 1, 9000, Aalborg, Denmark

*Email: [email protected]

METHODS Consequential life cycle inventory (CLCI) modelling •  The attributional approach would fail to comply with the purpose of the study, which focuses

on predicting the consequences of choosing different oils. CLCI involved applying system expansion rather than allocation, and marginal rather than average suppliers.

•  Production of refined vegetable oils is associated with by-products, namely oil meals from the oil mills and free fatty acids (FFA) from the refining process. Both are used as animal feed. Oil meals and FFA will substitute marginal suppliers of feed protein and feed energy in proportion with their protein and energy content.

Fig 1. Vegetable oils under study.

Palm oil Soybean oil Rapeseed oil

Sunflower oil Peanut oil

Scope and assumptions •  The oils were inventoried from cradle to gate, including: 1) oil crop

cultivation, 2) oil mill, and 3) refinery. The palm oil system includes an additional step, since the kernels are sent to another oil extraction step. Fig. 2 shows the process diagram for palm oil and rapeseed oil.

•  The functional unit is 1 ton of refined oil. •  Marginal suppliers are summarised in Table 1. Feed protein is based

on Brazilian soybean, whereas feed energy is based on barley from Ukraine.

•  For all systems the determining product is the oil, whereas in soybean it is the meal. Thus demanding soybean oil does not lead to soybean oil production, but to the marginal oil production, assumed to be palm oil.

•  Indirect land use change (iLUC) is included by means of a deterministic model taking into account land transformation and land intensification (Fig. 3) [1].

•  Impact assessment is performed at midpoint, including Greenhouse-gas (GHG) emissions, water use, water use adjusted for the Water stress index (WSI) and land occupation.

•  Temporary biogenic carbon sequestration in the oil is included as a negative emission of -2.8 kg CO2/kg oil.

Fig. 2. Process diagrams for palm oil (left) and rapeseed oil (right). NBD: neutralized, bleached, deodorized, FFB: fresh fruit bunches, CPO: crude palm oil, CPKO crude palm kernel oil, FFA: free fatty acids, PO: palm oil, PKO: palm kernel oil, PKM: palm kernel meal, RSM: rapeseed meal, CRSO: crude rapeseed oil.

Product Fresh fruit bunches Soybean Rapeseed Sunflower Peanut Barley Supplier Malaysia/Indonesia Brazil EU27 Ukraine India Ukraine

Table 1. Marginal suppliers of main raw materials.

Fig. 3. Conceptual representation of the iLUC model used in the study. RESULTS

2024$ 2024$

262$760$

4717$

0$

1000$

2000$

3000$

4000$

5000$

Palm%oil%% Soybean%oil%

Rapeseed%oil%

Sunflower%oil%

Peanut%oil%

Global%warming%(incl.%iLUC),%kg%CO2Ceq%

1418$ 1418$

%96$ %178$

2124$

%500$

0$

500$

1000$

1500$

2000$

2500$

Palm%oil%% Soybean%oil%

Rapeseed%oil%

Sunflower%oil%

Peanut%oil%

Global%warming%(excl.%iLUC),%kg%CO2Deq%

7.13% 7.13% &362% &431%

2477%

&1000%

&500%

0%

500%

1000%

1500%

2000%

2500%

3000%

Palm%oil%% Soybean%oil%

Rapeseed%oil%

Sunflower%oil%

Peanut%oil%

Water%use%7%blue,%m3%

!0.3% !0.3% !19% !26%

2981%

!500%0%

500%1000%1500%2000%2500%3000%3500%

Palm%oil%% Soybean%oil%

Rapeseed%oil%

Sunflower%oil%

Peanut%oil%

Water%use%7%WSI,%m37eq%

1712$ 1712$ 2352$

11150$

18750$

0$

5000$

10000$

15000$

20000$

Palm%oil%% Soybean%oil%

Rapeseed%oil%

Sunflower%oil%

Peanut%oil%

Land%occupa8on,%m2year%

•  GHG emissions are lowest for rapeseed oil and the highest for peanut oil. The latter is related to low yield.

•  iLUC substantially increases GHG emissions, but the ranking is not changed. •  Rapeseed oil and sunflower oil involve a net saving of freshwater, due to the

displacement of animal feed through meal by-product. •  The inclusion of the WSI factor does not change the ranking of oils in terms

of water use. •  Land occupation is higher for peanut oil and

sunflower oil, due to lower yields. •  The results of palm oil and soybean oil are

equal since soybean oil is constrained (the meal is determining). Consequently, demand for soybean oil leads to production of the marginal oil, i.e. palm oil.

Fig. 4. Results per ton refined oil. Global Warming includes biogenic carbon sequestration in the oil.

References: [1] Schmidt J H, et al. (2012) A model of indirect land-use change. 8th International Conference on LCA in the Agri‐Food Sector, 1‐4 Oct 2012, St. Malo, France. [2] Schmidt J H (2014) Life cycle assessment fo five vegetable oils. Journal of Cleaner Production, submitted.

Indirect  land  use  changes  (iLUC)

Oil  palm  cultivationProductive  land

of  land

CO2

N2OCO2

Productive  land

Productive  land

Transformation  of  land Market  for  land

Fertiliser

Tractors

Diesel

Intensification  of  land