Wunderkind Consulting Nigeria Limited's Climate Report

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Introduction *

Commitment and Targets *

Own Emissions *

Value Chain Emissions *

(optional)

Results, Challenges and Outlook *

Version 1.1.0

Introduction *

1.1 Reporting year

*

2023

1.1.1 Reporting period

*

from 1.2023 to 12.2023

1.2 Describe your business activities

*

Management consultancy service provision on Quality, Health, Safety and Environment as well as Food Safety Management Systems Standards

1.4 Number of employees in the reporting year

*

4

1.4.1 Full-time equivalent (FTE) or headcounts

*

Full-time equivalent

1.5 Let us know if your company is a parent company or subsidiary

*

Parent company

Commitment and Targets *

2.1 Net zero target year

*

2050

2.1.1 Base year

*

2021

2.2 Near-term target

*

30% of absolute scope 1 emission reduction from my base year by 2030

30 of intensity scope 1+2 emission reduction from my base year by 2030

30 of absolute scope 2 emission reduction from my base year by 2030

2.3 Provide any additional comments or context on your net zero and near term targets.

*

Nil

Own Emissions *

3.1 To reduce emissions in line with my commitment, my company has a plan and is taking action

*

Yes

Energy consumption

3.2 Total energy consumption

*

200 kwh

3.3 Renewable energy

*

200 kwh

Scope 1 emissions

3.4 Scope 1 emissions

*

10 metric tons CO2e

Scope 2 emissions

3.5 Location based scope 2 emissions

*

10 metric tons CO2e

3.7 Describe your plans and actions taken to reduce scope 1 & 2 emissions.

*

Commuting to client business premises through trams; reduced business travel by flight, energy conservation at office premises, use of solar powered light fittings

3.8 Describe the calculation methodology and comment on the data accuracy, including any tools/methods used to calculate.

*

Scope 1 (Direct GHG Emissions): These emissions come from sources directly controlled by the company, such as fuel combustion, company-owned vehicles, and on-site generation of energy. Data Collection: Gather data on fuel usage (e.g., natural gas, diesel, gasoline) from company-owned or controlled equipment (heating systems, vehicles, machinery). Collect data on refrigerants and fugitive emissions, like leaks from air-conditioning systems or process emissions in industrial operations. Emission Factors: Apply emission factors (specific to the type of fuel) to convert the amount of fuel used into the amount of CO₂e (carbon dioxide equivalent) emitted. These factors are sourced from official databases, such as the IPCC Guidelines for National Greenhouse Gas Inventories or national bodies like the U.S. EPA or DEFRA. Formula: CO₂e = Fuel Consumption × Emission Factor CO₂e=Fuel Consumption×Emission Factor Direct Measurements: If metered data is available for combustion processes or industrial equipment, it is used directly, which may increase accuracy. Scope 2 (Indirect GHG Emissions from Energy Consumption): These emissions result from purchased electricity, heat, or steam used by the company but produced off-site. Data Collection: Gather data from utility bills or energy meters on purchased electricity or steam. Account for the energy consumption of all facilities and operations under the company’s control. Location-Based vs. Market-Based Approach: Location-Based: Emission factors from regional/national grid averages are used to calculate emissions based on the physical location of energy consumption. Market-Based: Emission factors from contractual instruments like renewable energy certificates (RECs) or supplier-specific emissions data are used. Formula: CO₂e = Electricity Consumption × Grid Emission Factor CO₂e=Electricity Consumption×Grid Emission Factor Tools and Methods Used: GHG Protocol Tools: The GHG Protocol provides tools and guidelines for calculating both Scope 1 and Scope 2 emissions, along with emissions factors for various regions. Emission Factor Databases: Sources like the International Energy Agency (IEA) or DEFRA provide emission factors for electricity and fuel types. Carbon Accounting Software: Tools like SIMAP, Carbon Trust Footprint Calculator, and Sphera’s Life Cycle Assessment software help automate data entry, factor application, and report generation for GHG emissions. Data Accuracy and Uncertainty Accuracy: The accuracy depends on the quality of data (e.g., fuel consumption, energy usage, metering) and the relevance of emission factors. Metered data is more accurate than estimates based on assumptions or regional averages. Uncertainty: Emission factors may vary over time or by region and could lead to under- or over-estimation of emissions. Refrigerant leakage and other fugitive emissions are often difficult to measure directly, leading to reliance on estimates. Improvements in Accuracy: Adopting continuous monitoring systems for fuel use and energy consumption, especially in large industrial or commercial setups, can significantly improve data accuracy. Third-party verification by an auditor, or using ISO 14064 standards, can enhance the credibility and reliability of emission reporting.

Value Chain Emissions (optional) *

Scope 3 emissions

4.1 Have you measured any of your scope 3 emissions?

*

No

Supply chain related - upstream emissions

Customer related - downstream emissions

4.2 Have you asked any of your suppliers to set a net zero target (either voluntarily or as a requirement)?

*

Yes

4.2.1 What percentage of your suppliers have you asked?

*

25 of emissions covered

4.3 Have you communicated your commitment and actions to any of your customers?

*

Yes

4.4 Describe the calculation methodology and comment on the data accuracy and any tools used to calculate your scope 3 emissions.

*

Not applicable

Results, Challenges and Outlook *

7.1 Provide any additional comments or context on your annual results and progress from previous years.

*

Progress is undoubtedly slow, however we remain committed to our Net-zero target and commitments.

7.2 Do you face any key challenges in reducing emissions?

*

Reducing emissions from business travel,Time constraints,Lack of skills and knowledge,Inaccurate or insufficient data

7.3 Has there been any third party validation of the data submitted in this report?

*

No

-

Wunderkind Consulting Nigeria Limited's Climate Report

Wunderkind Consulting Nigeria Limited's Climate Report - 2023

Introduction *

1.1 Reporting year

*

2023

1.1.1 Reporting period

*

from 1.2023 to 12.2023

1.2 Describe your business activities

*

Management consultancy service provision on Quality, Health, Safety and Environment as well as Food Safety Management Systems Standards

1.4 Number of employees in the reporting year

*

4

1.4.1 Full-time equivalent (FTE) or headcounts

*

Full-time equivalent

1.5 Let us know if your company is a parent company or subsidiary

*

Parent company

Commitment and Targets *

2.1 Net zero target year

*

2050

2.1.1 Base year

*

2021

2.2 Near-term target

*

30% of absolute scope 1 emission reduction from my base year by 2030

30 of intensity scope 1+2 emission reduction from my base year by 2030

30 of absolute scope 2 emission reduction from my base year by 2030

2.3 Provide any additional comments or context on your net zero and near term targets.

*

Nil

Own Emissions *

3.1 To reduce emissions in line with my commitment, my company has a plan and is taking action

*

Yes

Energy consumption

3.2 Total energy consumption

*

200 kwh

3.3 Renewable energy

*

200 kwh

Scope 1 emissions

3.4 Scope 1 emissions

*

10 metric tons CO2e

Scope 2 emissions

3.5 Location based scope 2 emissions

*

10 metric tons CO2e

3.7 Describe your plans and actions taken to reduce scope 1 & 2 emissions.

*

Commuting to client business premises through trams; reduced business travel by flight, energy conservation at office premises, use of solar powered light fittings

3.8 Describe the calculation methodology and comment on the data accuracy, including any tools/methods used to calculate.

*

Scope 1 (Direct GHG Emissions): These emissions come from sources directly controlled by the company, such as fuel combustion, company-owned vehicles, and on-site generation of energy. Data Collection: Gather data on fuel usage (e.g., natural gas, diesel, gasoline) from company-owned or controlled equipment (heating systems, vehicles, machinery). Collect data on refrigerants and fugitive emissions, like leaks from air-conditioning systems or process emissions in industrial operations. Emission Factors: Apply emission factors (specific to the type of fuel) to convert the amount of fuel used into the amount of CO₂e (carbon dioxide equivalent) emitted. These factors are sourced from official databases, such as the IPCC Guidelines for National Greenhouse Gas Inventories or national bodies like the U.S. EPA or DEFRA. Formula: CO₂e = Fuel Consumption × Emission Factor CO₂e=Fuel Consumption×Emission Factor Direct Measurements: If metered data is available for combustion processes or industrial equipment, it is used directly, which may increase accuracy. Scope 2 (Indirect GHG Emissions from Energy Consumption): These emissions result from purchased electricity, heat, or steam used by the company but produced off-site. Data Collection: Gather data from utility bills or energy meters on purchased electricity or steam. Account for the energy consumption of all facilities and operations under the company’s control. Location-Based vs. Market-Based Approach: Location-Based: Emission factors from regional/national grid averages are used to calculate emissions based on the physical location of energy consumption. Market-Based: Emission factors from contractual instruments like renewable energy certificates (RECs) or supplier-specific emissions data are used. Formula: CO₂e = Electricity Consumption × Grid Emission Factor CO₂e=Electricity Consumption×Grid Emission Factor Tools and Methods Used: GHG Protocol Tools: The GHG Protocol provides tools and guidelines for calculating both Scope 1 and Scope 2 emissions, along with emissions factors for various regions. Emission Factor Databases: Sources like the International Energy Agency (IEA) or DEFRA provide emission factors for electricity and fuel types. Carbon Accounting Software: Tools like SIMAP, Carbon Trust Footprint Calculator, and Sphera’s Life Cycle Assessment software help automate data entry, factor application, and report generation for GHG emissions. Data Accuracy and Uncertainty Accuracy: The accuracy depends on the quality of data (e.g., fuel consumption, energy usage, metering) and the relevance of emission factors. Metered data is more accurate than estimates based on assumptions or regional averages. Uncertainty: Emission factors may vary over time or by region and could lead to under- or over-estimation of emissions. Refrigerant leakage and other fugitive emissions are often difficult to measure directly, leading to reliance on estimates. Improvements in Accuracy: Adopting continuous monitoring systems for fuel use and energy consumption, especially in large industrial or commercial setups, can significantly improve data accuracy. Third-party verification by an auditor, or using ISO 14064 standards, can enhance the credibility and reliability of emission reporting.

Value Chain Emissions (optional) *

Scope 3 emissions

4.1 Have you measured any of your scope 3 emissions?

*

No

Supply chain related - upstream emissions

Customer related - downstream emissions

4.2 Have you asked any of your suppliers to set a net zero target (either voluntarily or as a requirement)?

*

Yes

4.2.1 What percentage of your suppliers have you asked?

*

25 of emissions covered

4.3 Have you communicated your commitment and actions to any of your customers?

*

Yes

4.4 Describe the calculation methodology and comment on the data accuracy and any tools used to calculate your scope 3 emissions.

*

Not applicable

Results, Challenges and Outlook *

7.1 Provide any additional comments or context on your annual results and progress from previous years.

*

Progress is undoubtedly slow, however we remain committed to our Net-zero target and commitments.

7.2 Do you face any key challenges in reducing emissions?

*

Reducing emissions from business travel,Time constraints,Lack of skills and knowledge,Inaccurate or insufficient data

7.3 Has there been any third party validation of the data submitted in this report?

*

No

-

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