GRI 300 Environmental

Environmental performance indicators

UNGC Principles
SDG Goal

Key environmental performance indicators

 

 Key performance indicators

2009
(restated in 2019)

2015
(restated in 2019)

2018
(restated in 2019)

Q4 2018 to
Q3 20191

2019

Energy

Energy (GJ)

Direct energy consumption 2

 

1,708,571

1,900,778

1,918,488

1,798,726

Indirect energy: purchased electricity & steam

 

950,117

1,021,195

1,032,526

1,039,216

Total energy     

 

2,658,689

2,921,972

2,951,014

2,837,942

Energy efficiency (GJ/tonne of production)

Direct energy efficiency

 

4.44

4.18

4.05

3.76

Indirect energy efficiency

 

2.48

2.24

2.18

2.17

Total energy     

 

6.93

6.42

6.23

5.93

Emissions 

 

GHG emissions (tonnes)

 

 

 

 

 

 

Scope 1

From direct energy sources

 

100,023

108,797

105,959

102,103

Scope 2

From indirect energy sources

 

89,787

55,052

51,446

51,454

Total scope 1 + 2 GHG emissions     

 

189,810

163,849

157,405

153,556

Scope 3

Business travel

10,056

12,889

n/a ³

12,249

Employee commuting

15,296

14,172

n/a ³

15,601

Packaging of finished products4, 5

80,556

86,486

n/a ³

73,985

Upstream transportation and distribution 

23,196

29,523

n/a ³

31,296

Outbound product to customers 4

30,879

31,656

n/a ³

32,497

Outbound intercompany deliveries 4

11,813

14,127

n/a ³

14,534

Waste generated in operations

15,369

17,099

n/a ³

16,882

Fuel and energy related activities

79,110

58,262

n/a ³

50,261

Raw materials 4

1,085,689

1,329,295

n/a ³

1,326,732

Indirect materials & services (excluding packaging) 4

143,569

167,387

n/a ³

135,249

Capital goods 4

48,696

82,464

n/a ³

107,548

Total scope 3 GHG emissions     

 

1,544,229

1,843,359

n/a ³

1,816,834

Total GHG emissions

1,734,039

2,007,208

n/a ³

1,970,390

GHG emissions efficiency6  (tonnes of GHG/tonne of production)

Scope 1: from direct energy sources

0.26

0.24

0.22

0.21

Scope 2: from indirect energy sources

0.23

0.12

0.11

0.11

Total GHG emissions     

0.49

0.36

0.33

0.32

Waste

Hazardous waste  (tonnes)

Incinerated

 

8,557

9,650

9,689

9,808

Incinerated with energy recovery 7

 

4,132

3,632

4,521

4,742

Landfilled

 

318

129

116

122

Recycled

 

17,357

21,139

22,045

22,272

Total hazardous waste     

 

26,232

30,917

31,849

32,203

Non-hazardous waste (tonnes)

Incinerated

 

2,230

2,845

2,535

2,462

Incinerated with energy recovery 7

 

1,076

546

1,213

1,442

Landfilled

 

6,412

6,984

7,134

7,131

Recycled

 

27,826

31,959

30,539

30,634

Total non-hazardous waste     

 

36,468

41,788

40,208

40,226

Total incinerated and landfilled waste (HZ and NHZ)     

 

17,517

19,607

19,473

19,523

Total hawardous and non-hazardous waste (tonnes)

 

62,700

72,705

72,057

72,429

One-off waste (tonnes)

 

2,219

7,215

2,862

3,540

Waste efficiency8 
(kg of waste/tonne of production)

 

45.5

43.1

41.1

40.8

Water

Water intake (m³)

Municipal water

2,286,999

2,359,818

2,477,947

2,477,399

2,409,226

Ground water

1,074,035

1,390,267

1,258,123

1,297,955

1,329,616

Total municipal and ground water     

3,361,034

3,750,085

3,736,070

3,775,355

3,738,843

Surface water

7,432,649

5,006,361

5,371,098

5,335,284

5,261,101

Total water9     

10,793,683

8,756,446

9,107,168

9,110,639

8,999,944

Water efficiency10
(m³/tonne of production)

10.91

9.74

8.21

7.97

7.81

Water discharge (m³)

To the environment w/o biological treatment

 – 

4,666,399

4,750,686

4,640,033

To the environment after biological treatment

 – 

– 

2,089,294

1,992,165

2,003,464

To external treatment facility w/o pre-treatment

 – 

– 

532,562

531,318

521,064

To external treatment facility with pre-treatment

 – 

– 

1,575,193

1,550,311

1,549,129

Total discharged water     

 – 

– 

8,863,447

8,824,480

8,713,691

COD (tonnes)

COD load of water discharged to the environment

 –  

– 

919

688

648

Other data

 

 

 

 

 

 

Nitrogen oxides – NOₓ (tonnes)11

 – 

– 

82.97

82.98

76.66

Sulphur dioxide – SO₂ (tonnes)11

 – 

– 

1.19

0.54

0.12

Volatile organic compounds (tonnes)

 – 

– 

465

n/a ³

405

CFC inventory (kg)

 – 

– 

10,111

n/a ³

9,285

CFC 11 equivalent inventory (kg)

 – 

– 

563

n/a ³

741

CFC loss-replacement (kg)

 – 

– 

1,055

n/a ³

298

CFC 11 equivalent loss/replacement (kg)

 – 

– 

58.09

n/a ³

37.26

Production

 

 

 

 

 

 

Production quantities (tonnes)

308,060

385,189

455,090

473,735

478,638

 

1. For all environmental figures this will become the regular reporting period for the reporting year 2019 in the upcoming reporting cycles. 

2. Includes natural gas (0.0345 GJ/m³), light fuel (36.12 GJ/m³), heavy fuel (39.77 GJ/m³), liquid petroleum gas (22.65 GJ/m³), town gas (0.0186 GJ/m³),  waste used as energy source (22.5 GJ/m3), geothermal energy (0.0036 GJ/kWh),  deducting steam sold (2.9 GJ/Tonnes).

3. Not available.

4. These numbers do not include data from our production site in Volketswil, Melaka & Mittry Morry. 

5. The scope has changed this year including pallets, so the base year has been recalculated based on weight proportion over the whole packaging materials.

6. Includes only scope 1 and scope 2.

7. Among the quantity of HW and non-HW incinerated, this is the quantity incinerated with energy recovery (in tonnes).

8. Includes incinerated and land-filled waste (HZ and NHZ).

9. Includes sanitary, cooling and process water.

10. Includes municipal and groundwater.

11.Quantity is calculated by multiplying the annual fuel consumption by the corresponding emission factor for fuel type.

Emission calculation methodologies

Purchased goods and services
For Natural and Synthetic raw materials, figures are estimated according to a process-based modelling using individual modelling per substance and considering all physical inputs (Energy, fertilizers, etc). The model allows to identify the carbon footprint of each substances using their weight and  the most accurate emission factors. Emission factors are based on data from global generic Life Cycle Inventory databases (ecoinvent, World Food LCA Database) and internal primary data. Specific emission factors are used for substances representing highest volume purchased. Proxies have been extrapolated for others. The model has been applied on purchased data from 2015, 2018 and 2019 which allow to establish the current performances and the 2015 baseline.

For indirect materials and services (excluding packaging material), figures are calculated through the ESCHER model – an extended multi-regional input-output-model based on Global Trade and Analysis Project (GTAP) data – on the basis of financial values of materials purchased during 2015 and the country of origin. The 2019 GHG emission figure was then calculated by using the 2015 ratio between spend and GHG emissions and extrapolating to the 2019 spend figure. 

For packaging materials, the figure was calculated by extracting the number of units used for each type of packaging (for finished goods) from the Company’s ERP database. This number was multiplied by the carbon footprint figure for the type of packaging (as received from suppliers). The totals for each type of packaging were consolidated to give a total Givaudan figure.

Capital goods
The figures are calculated through the ESCHER model on the basis of financial values of hardware purchased during 2015. The 2019 GHG emission figure was calculated by using the 2015 ratio between spend and GHG emissions and extrapolating to the 2019 spend figure.

Fuel-and-energy-related activities (not included in scope 1 or 2)
The calculation takes the primary energy carriers for the production of heat, electricity and steam as well as the technology standard in the countries of the respective sites into consideration. We use the ecoinvent database 2.2 (method: IPCC 2007) as the data basis for the life-cycle inventory. Scope 3 emissions have been estimated directly through the analysis of the respec-tive ecoinvent datasets and by subtracting scope 1 and 2 emissions from overall emissions. Scope 3 emissions for the delivery of electricity (infrastructure, grid losses and direct emissions) have also been accounted for in the calculation.

Upstream transportation and distribution
We monitor the environmental impact of transportation (air, ship and road) by calculating the associated GHG emissions. 
We do this through a model that tracks all transport movements through our SAP system (by mode of transport), from delivery to receipt locations of raw materials. To calculate the GHG footprint, we use emission factors per mode of transport according to the Cefic (European Chemical Industry Council) guideline.

Waste generated in operations
Emission factors on a per tonne waste basis (as extracted from scope 3 guidance documents from WBCSD + WRI) have been multiplied with the total weight of waste generated at our manufacturing locations. The scope of the calculation covers waste to landfill and to incineration.

Business travel
Data on distance travelled are collected through our global and local travel agencies. To calculate the GHG footprint, emission factors per haul and class are used according to the 2019 Department for Environment, Food and Rural Affairs (DEFRA, UK) definition.

Employee commuting
In 2018, we conducted for the third time a global commuting survey/questionnaire asking employees about their modes of travel and distances covered. Of the employees surveyed, 43% responded: this data and transport emission factors (kg/km) from Guidelines to Defra’s GHG Conversion factors for transport were used to calculate the related CO2e emission per employee. The 2018 figure was then obtained by extrapolating to 100%.

The reported 2019 is based on the employee commuting survey results from 2018 and extrapolated to the number of full-time employees as of 31 December 2019. A new survey will be completed in 2021.

Downstream transportation and distribution
We monitor the environmental impact of transportation (by air, ship and road) by calculating the associated GHG emissions. We do this through a model that tracks all transport movements through our SAP system (by mode of transport), from delivery to receipt locations of intercompany deliveries and deliveries to customers. To calculate the GHG footprint, we use emission factors per mode of transport according to the Cefic guideline.

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