palm ghg training final

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RSPO PalmGHG training workshop 6 th – 7 th December 2012 Kuala Lumpur Introduction to PalmGHG The RSPO greenhouse gas calculator for oil palm products Laurence Chase Llorenç Milà i Canals Cécile Bessou Melissa Chin

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Page 1: Palm ghg training final

RSPO PalmGHG training workshop6th – 7th December 2012Kuala Lumpur

Introduction to PalmGHG

The RSPO greenhouse gas calculator for oil

palm products

Laurence ChaseLlorenç Milà i Canals

Cécile BessouMelissa Chin

Page 2: Palm ghg training final

Workstream 1Measuring, monitoring & reporting operational GHG emissionsAmir Faizal Naidu Abdul-Manan, fuels scientist, Shell Global Solutions

Sdn. Bhd. Cécile Bessou (lead author), Ph.D., researcher at CIRADJean-Pierre Caliman, Ph.D., producer, Director of the SMART-Research InstituteLaurence Chase, MSc., Independent Consultant in Tropical AgricultureSau Soon Chen, Assoc. Prof. Ph.D., SIRIM Environmental & Bioprocess Technology CentreShabbir Gheewala, Prof. Ph.D., researcher at the Joint Graduate School of Energy and Environment, King Mongkut’s University of TechnologyIan E. Henson, Ph.D., Independent Consultant in Tropical AgricultureSimon Lord, Ph.D., producer, Group Director of Sustainability, New Britain Palm Oil Llorenç Mila-i-Canals, Ph.D., researcher at Unilever R&DPavithra Ramani, Project manager in agricultural commodities, with focus in the palm oil and biofuel sectors at ProforestBambang H. Saharjo, Prof. Ph.D., consultant for Sawit Watch, NGOMukesh Sharma, Ph.D., producer, Head of R&D at the Asian Agri GroupAdrian Suharto, producer, Sustainability Manager, Neste Oil Singapore Pte Ltd

Page 3: Palm ghg training final

What is PalmGHG?

The PalmGHG calculator provides an estimate of the net GHG emissions produced during the palm oil production chain by quantifying the major forms of carbon emissions and sequestration from a mill and its supply base (estate and out-growers)

Developed by WS1 based on Chase & Henson (2010)

Based on LCA approach (ISO 14044) and a review of guidelines/tools

Page 4: Palm ghg training final

The emissions are presented as t CO2 equivalents (CO2e), per hectare and per unit of product: i.e. per tonne of Crude Palm Oil (CPO) and per tonne of Crude Palm Kernel Oil (CPKO).

The content of the calculator and the features of the tool have been discussed within the whole GHG Working Group 2

What is PalmGHG?

Page 5: Palm ghg training final

Important features

a) Flexibility: I. Adoption of different crop rotation lengths and

possible choice of oil palm growth data II. It allows use of alternatives to the standard defaultsIII. It allows for the calculation of GHG for CPO and PKO

b) It caters for CO2 emissions from land use change and peat soils management

c) It allocates total net emissions between co-productsd) It calculates annual net emissions per ha and per tonne of

palm product; may be updated yearlye) It allows for scenario testing

Page 6: Palm ghg training final

The main purposes of the tool are: • Identification of hotspots in the life cycle of palm oil

products, with the aim of guiding GHG reduction opportunities;

• Internal monitoring of GHG emissions;

• Reporting to RSPO of progress towards GHG reduction plans;

• Exploring the relationship between resource use (e.g., fertilizer) efficiency and carbon emissions, as all the relevant information is provided.

Usage of PalmGHG

Page 7: Palm ghg training final

Suggested PalmGHG implementation steps

1. Identify Hotspots

2. Improvemen

t Opportunitie

s

3. GHG reduction targets

4. Monitor Progress

5. Report

Page 8: Palm ghg training final

PalmGHG Calculator Implementation

• GHG emission hotspots in the case of mill C1 (Previous land use: shrub/grassland, 25% peat soils in estate)▫ Peat emissions, CH4 from effluent, land clearing,

fertilisers ▫ Main difference between estate and outgrowers: peat area

1. Identify Hotspots

Page 9: Palm ghg training final

• Opportunities to reduce peat emissions▫ Implement peat Best Management Practices: water table… (5-10%; 2-3 yr)▫ Select peat-free (and low C) areas to expand production▫ Progressively abandon and restore current plantation on peat (43%; 15

yr+)

• Addressing POME methane emissions▫ Capture and combustion with heat and electricity recovery…? (20-25%; 2-

3yr)

• Increasing efficiency of mill, energy recovery…• Fertilisers

▫ Optimise fertilisers for yield increase and reduction of N2O▫ Yield increase tends to reduce overall impact as “fixed” emissions from

clearing are divided over bigger output

• Address key knowledge gaps identified!▫ Land clearing history; data from out growers; biomass value for former

land uses; etc.

PalmGHG Calculator Implementation2.

Improvement Opportunities

Page 10: Palm ghg training final

• Technological opportunities balanced with GHG reduction opportunity; cost; funding opportunities (CDM; Carbon trading schemes; REDD+?...)

• Plan project implementation pipeline• Step-wise reduction targets

▫ More stretchy reduction targets for higher emissions (more low hanging fruit)

▫ OK to maintain emissions when GHG intensity is already very low

• Go public!

PalmGHG Calculator Implementation

3. GHG reduction

targets

Page 11: Palm ghg training final

• Updating PalmGHG with relevant new data is straightforward▫ Land clearing in current year▫ Fertiliser use and diesel use▫ Changes in POME technology?▫ …

• Then plot the annual variation in GHG emissions progress against GHG reduction plan

PalmGHG Calculator Implementation

4. Monitor Progress

Page 12: Palm ghg training final

• Information can be used for company-based reporting▫ Sustainability reports▫ Carbon Disclosure Project?▫ Information requests from stakeholders: customers;

regulators (e.g. RED; UK Government); investors (e.g. Stock Exchange; Banks) ; etc.

• or shared within RSPO for RSPO communications:▫ GHG intensity of CSPO vs. non-certified oil?▫ Effects of certification on GHG emissions?

PalmGHG Calculator Implementation

5. Report & Communicate

Page 13: Palm ghg training final

PalmGHG benefits

• Efficiency in GHG reductions

• Robust communication and reporting

• Consistency of measurement

• Scientific leadership

Page 14: Palm ghg training final

PalmGHG: Scope, system boundary and life cycle inventory

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System boundary

Page 16: Palm ghg training final

The emission sources included in the calculator are:

• Land clearing; • Manufacture of fertilisers and transport to the

plantation; • Nitrous oxide and carbon dioxide from the field

application of fertilisers, mill by-products and other organic sources such as palm litter;

• Fossil fuel used in the field • Fossil fuel used at the mill; • Methane produced from palm oil mill effluent

(POME); and • Carbon dioxide and nitrous oxide generated by

the cultivation on peat soils.

Page 17: Palm ghg training final

The following GHG fixation and credits are considered:

• Carbon dioxide fixed by oil palm trees, ground cover and carbon sequestered in plantation litter;

• Carbon dioxide fixed by biomass in conservation areas;

• GHG emissions avoided by the selling of mill energy by-products (e.g. electricity sold to the grid; palm kernel shell sold to industrial furnaces).

Page 18: Palm ghg training final

Items that are not included are

• nursery stage; • pesticide treatments; • fuel used for land clearing; • emissions embedded in

infrastructure and machinery; and

• sequestration of carbon in palm products and by-products.

These items are generally negligible GHG sources or sinks

Page 19: Palm ghg training final

• Provision is made for separate budgets for a mill's own crop (usually produced on estates) and an out-grower crop (such as produced by smallholders).

• PalmGHG uses the annualized emission and sequestration data to estimate the net GHG balance for the palm products from both own and out-grower crops at an individual mill.

• Emissions from the biomass cleared at the beginning of the crop cycle are averaged over the cycle.

• Emissions from the other sources are averaged over the three years up to and including the reporting date.

• The estimates can be updated on a yearly basis to reflect changes in operating conditions and the growth of palms.

Page 20: Palm ghg training final

• Allocation of the net emissions of CO2e between CPO and PK, then subsequently between Palm Kernel Oil (PKO) and Palm Kernel Expeller (PKE), is carried out according to the relative masses of these co-products.

• Allocation by mass is only the second option according to the ISO standards (ISO 14044, 2006); however, allocation by mass has been used in PalmGHG in order to provide stable results for all co-products as they leave the product system (mill).

• System expansion is used for other by-products (electricity; kernel shells exported for energy).

 

Allocation

Page 21: Palm ghg training final

Life cycle inventory: Land clearing

• GHG emissions from land clearing is averaged over a full crop cycle in PalmGHG.

• Total emissions occurring each year by new plantings is

estimated, added up, and finally divided by the number of years in the average crop cycle (the default is 25) to obtain an average emission per ha per year.

• The crop cycle length is defined by users and can differ between “own crops” and “out-growers” and between crops on mineral soils and those on peat soil (which are often shorter due to ground subsidence, palm leaning and higher sensitivity to pest and diseases)

• PalmGHG only considers direct land use change

Page 22: Palm ghg training final

Values for ten previous land uses are currently available in PalmGHG.

These values will be updated with the values provided by WS3 once these are peer reviewed and published (Agus et al. in preparation).

Life cycle inventory: Land clearing

Page 23: Palm ghg training final

• Data for carbon sequestration in the crop can be obtained from different sources.

• The preferred option is to base them on direct measurements, but if this is not possible, modelled data may be used instead.

• The PalmGHG currently uses OPRODSIM and OPCABSIM (Henson, 2005; Henson, 2009), which are specifically designed to estimate oil palm and associated biomass in the plantation (litter and ground cover) by generating growth curves based on climate and soil data, largely based on Malaysian conditions.

• Alternative models are provided by Indonesian studies of van Noordwijk et al., (2010), recently updated by Khasanah et al. (2012) and included as part of the Excel-based RSPO/ICRAF Carbon stock calculator (Harja et al., 2012). Data from these models may be included as options in PalmGHG.

Life cycle inventory: Crop sequestration

Page 24: Palm ghg training final

• OPRODSIM and OPCABSIM produce annual values of standing biomass for the oil palms (above and below-ground), ground cover, frond piles and other plantation litter (shed frond bases and male inflorescences) and provide estimates of the nitrogen recycled in litter and ground cover that can be used to calculate values for the N2O emissions from these sources

• Contrasting simulation scenarios of crop sequestration are used as default estimates for mill own crops (vigourous) and out-growers (average) to reflect differences in biomass growth and yields.

Life cycle inventory: Crop sequestration

Page 25: Palm ghg training final

• Sequestration of carbon where vegetation is being conserved on land that would otherwise be used for oil palm. These areas do not include those that are set aside due to legal requirements.

• No default values are provided, as carbon sequestered will depend on the type and maturity of the vegetation, and on climatic, management and soil factors.

• Growers reporting sequestration in these conservation areas will need to carefully assess the annual sequestration, most likely supported by field measurements.

• This is an aspect that is still under consideration by RSPO in the light of international mechanisms such as UN’s REDD (Reduction of Emissions from Deforestation and forest Degradation).

Life cycle inventory: Conservation area sequestration

Page 26: Palm ghg training final

• Provision is given for nine widely used synthetic fertilisers and two organic ones (EFB and POME) but additional fertiliser types can be included by the user if required.

• For synthetic fertilisers, emissions consist of i) upstream emissions due to their manufacture ii) transport from production sites to the field; iii) direct field emissions linked to physical and microbial processes in the soil, and iv) indirect field emissions following re-deposition of previous direct field emissions.

• PalmGHG assumes by default that the whole amounts of EFB and POME generated in the mill are used as fertilisers in the plantation.

Life cycle inventory: Field emissions

Emissions due to fertiliser production, transport and use

Page 27: Palm ghg training final

• Emissions due to field operations that arise from fossil fuel consumed by machinery used for transport and other field operations

• Total field fuel used encompasses the fuel used for the transport of workers and materials, including the spreading of fertilisers, the transport of FFB from the growing areas to the mill, and maintenance of field infrastructure.

• For convenience, users are required to simply include all the fuel used by the whole plantation over a specific period of time rather than separating fuel use for specific operations.

Life cycle inventory: Field emissions

Emissions due to field operations

Page 28: Palm ghg training final

• Emissions from peat cultivation include CO2 emissions due to the oxidation of organic carbon and associated N2O emissions.

• WS2 (Peatland Working Group) of the RSPO GHG WG 2 intensively reviewed the impacts of peat cultivation on GHG emissions and identified best management practices for oil palm cultivation on peat soils (RSPO PLWG, 2012).

• In their findings, the authors put emphasis on the importance of restricting the water table depth to limit CO2 emissions from peat land.

Life cycle inventory: Field emissionsEmissions from peat cultivation

Page 29: Palm ghg training final

• Effective water management is key to high oil palm productivity on peat

• Higher water levels would reduce GHG emissions and subsidence

• However, if the water table is too high, it will result in the leaching of fertiliser into the groundwater and reduced productivity

• Good practice for oil palm on peat is one that can effectively maintain a water-level of 50-70 cm (below the bank in collection drains) or 40-60 cm (groundwater piezometer reading) from the surface in the plantation

Life cycle inventory: Field emissionsEmissions from peat cultivation

Page 30: Palm ghg training final

• In PalmGHG, 80 cm as the default drainage depth without active water table management or 60 cm if there is an active water table management

• RSPO’s BMP on peat strongly recommends that regular water level monitoring is carried out by installing numbered water level gauges. Guidance is also provided for in the BMP.

• Users are also encouraged to input actual measurement data into the PalmGHG.

Life cycle inventory: Field emissionsEmissions from peat cultivation

Page 31: Palm ghg training final

• At the mill level, two main sources of GHG emissions are considered, fossil fuel consumption and methane (CH4) production by POME.

• The user is required to enter the mill’s total diesel consumption of the previous three years, and the average is used.

• Methane emissions from POME vary according to the treatment applied. The amount of methane produced per unit of untreated POME is reduced if the methane is captured and then either flared or used as a fuel to generate electricity.

• Both the amount of POME and the amount of methane are quite variable depending on the conditions in the mill; the user is encouraged to use more representative values if e.g. volume of POME is measured, and / or values of its organic (COD) load are available.

Life cycle inventory: Mill emissions

Page 32: Palm ghg training final

• Calculations of CH4 production and amounts and losses during digestion, flaring, or electricity production are based on factors from Schmidt (2007) and the Environment Agency (2002).

• The corresponding emissions avoided by the use of the methane-generated electricity are calculated using the mean of the electricity emission factors for Indonesia and Malaysia (RFA, 2008).

• A further credit is given to the user if excess palm kernel shell is sold for use as a substitute for coal in industrial furnaces.

Life cycle inventory: Mill emissions

Page 33: Palm ghg training final

PalmGHG Pilot Test

A pilot study of an initial version of PalmGHG was carried out in 2011 with eight mills belonging to six RSPO member or aspiring member companies, to determine its ease of use and suitability as a management tool.

Page 34: Palm ghg training final

PalmGHG pilot

Objectives of the pilot

• To allow growers to experiment with the tool: how can it be used and what can it be used for?

• To test the consistency of the calculator: are all needed data available?

• To gather feedback from users to outline improvement needs and development priorities

Page 35: Palm ghg training final

Overview of pilot results

Mills Mean tFFB/ha

Outgrowers included

Peat soils

Previous land use tCO2e/tCPO

A1 23 no no shrub 0.05

A2 24 no no shrub -0.07

B 26 no no cocoa, oil palm 0.79

C1 23 yes 25% grassland, shrub 0.73

C2 19 yes 80% grassland, shrub 2.46

F 19 no no logged forest, oil palm 1.85

G 26 yes no wide range from logged forest to arable crops

1.15

H 17 yes no logged forest 1.35

Page 36: Palm ghg training final

Net emissions for pilot mills

H

G

F

C2

C1

B

A2

A1

-0.5 0 0.5 1 1.5 2 2.5 3

1.35

1.15

1.85328350823657

2.46

0.730000000000001

0.79

-0.07

0.0500000000000001

t CO2e/t CPO

Pil

ot

co

mp

an

ies

Page 37: Palm ghg training final

Pilot results:

Example of mill C1 base case

Land Clearing

Peat CH4 Mill Fuel N2O Ferti. Field Fuel Elec. Seq. Net Em.

-2

-1.5

-1

-0.5

0

0.5

1

1.5

2

14%

43%

28%

0%8% 5% 2% 1%

-1.12

0.78

Estate Out-growers

t C

O2e/tC

PO

0.02-19%

52%

12%

26%

Main emission hot spots are “land clearing”, “peat emissions”, and “methane emissions from POME”. N-fertiliser production and N-related field emissions are also major sources of GHG.

Page 38: Palm ghg training final

Pilot mill C1:

Combining estate & outgrowers

Base ca

se

Grass

land

Shrub

Flarin

g of

bio

gas

Elect

ricity

from

bio

gas

Low p

eat e

miss

ions

(10

t/ha/

yr)

Hig

h Pea

t em

issio

ns (3

0 t/h

a/yr

)0.00

0.20

0.40

0.60

0.80

1.00

1.20

0.73

0.55

0.91

0.30 0.26 0.30

0.96

tCO

2e/t

CP

O

+/- 25%

- 60%

+32%

Page 39: Palm ghg training final

Pilot mill G:

Base case

Land Clear-

ing

Peat CH4 Mill Fuel

N2O Ferti. Field Fuel

Elec. Seq. Net Em.

-2.00

-1.50

-1.00

-0.50

0.00

0.50

1.00

1.50

2.00 63.8%

2.2%

25.6%

0.4% 3.4% 3.6% 1.0% 0%

-1.64

1.15

t C

O2e/t

CP

O

Page 40: Palm ghg training final

Pilot mill G:

Capture and flare methane

Page 41: Palm ghg training final

Pilot mill G:

Capture methane and convert into electricity

Page 42: Palm ghg training final

Pilot Mill G:100% replant, capture CH4 and convert into electricity, reduced

outgrower sequestration by 10%

Page 43: Palm ghg training final

Scenario testingPalmGHG allows manipulation of input data to test effects of management interventions.

Page 44: Palm ghg training final

Net emissions tCO2e/tCPO

0.71 0.240.27

5.09

-0.62

1.58

Scenario testing

Base case 1: mixed previous land uses, peat 3%, no POME treatment, OER

20.8%, estate 20.2 tFFB/ha, outgrowers 14.2 tFFB/ha

Page 45: Palm ghg training final

• Availability of data on previous land use, and more generally for smallholders, can be a challenge

• Some users asked for Conservation Areas to be included, but the methodology is not yet fully developed

• Peat emission calculations may be too general, as emissions are likely to vary with peat type (fibrous vs woody)

• Difficulty in obtaining data from contractors.

Feedback from Pilot phase

Page 46: Palm ghg training final

Peer Review

Page 47: Palm ghg training final

• The PalmGHG has been reviewed following the provisions in ISO 14044 (requirements and guidelines for LCA)

• The peer review was undertaken between July-October 2012

• The critical review panel was coordinated by Ms. Monica Skeldon (Deloitte Consulting LLP, USA), and consisted of▫ Jannick H. Schmidt, 2.-0 LCA consultants , Denmark▫ Jacob Madsen, Deloitte Consulting LLP, USA▫ Thomas Fairhurst, Tropical Crop Consultants Ltd., UK

Peer Review of PalmGHG

Page 48: Palm ghg training final

Main Challenges from Peer Review

•LCA (Life Cycle Assessment) specifics

▫Allocation rules

▫System boundaries

▫Sensitivity; uncertainty

•Land Use Change (LUC) and C fixation

▫Direct vs. Indirect LUC

▫C fixation in palms and Conservation areas

•Usability and Auditing

▫Default values used

▫Ensuring traceability of input data

Page 49: Palm ghg training final

• The Beta version is now posted on the RSPO website to encourage testing and feedback

• The Beta version will be updated at regular intervals to incorporate results of feedback, defaults to be provided by WS3, and other options such as alternative methane calculations

• Decisions are to be made on the incorporation of biodiesel calculations.

• The Beta version will be reworked by a professional programmer during 2013 to make it more user-friendly.

Next Steps

Page 50: Palm ghg training final

Thank youQuestions?