The Green Tech company within waste management.

Product

Overview and graphical representation

Calculation method and data collection

Features

Overview and graphical representation

Overblik og grafisk fremstilling

The CO₂ Calculator – data that makes a difference

With The CO₂ Calculator, you gain a clear overview and a visual presentation of your company’s environmental efforts.
The user-friendly platform gathers and calculates your waste data, providing insights you can turn into concrete action.

You can track progress over time and see how your waste management practices impact your climate footprint – right down to individual waste fractions.

You get access to:
• Historical and current calculations of CO₂ emissions and recycling rates
• Environmental savings from sorting and recycling
• CO₂ emissions per employee or per waste type
• Insights into sorting efficiency and the impact of your initiatives
• Guidance on where your efforts can be further improved

In short:
The CO₂ Calculator gives you a complete overview of where your environmental initiatives create real impact – and where there’s room for improvement.
A practical tool that makes it easier to take the next right steps towards greener operations and smarter resource use.

Calculation method and data collection

Validitet​

Calculation method and data collection

Calculation method

The CO2Calculator database employs the waste-type-specific method, as referenced in the GHG Protocol, to calculate emissions from waste generated by a company’s operations but handled by third parties. This method utilizes emission factors for specific waste types and treatment methods, using the following activity data for calculations:

  1. Produced Waste: The amount of waste measured in tons.
  2. Waste Type: Types of waste generated (e.g., cardboard, food waste, residual waste).
  3. Waste Treatment Method: Documentation of the specific treatment method used for each waste type (e.g., incineration, landfill, recycling).


Additionally, validated, waste-type-specific, and waste-treatment-specific emission factors have been collected, accounting for end-of-life processes. These factors include emissions from the transport of individual waste fractions within the logistical cycle, covering CO2 emissions from collection at the production site (source sorting) to the treatment/pre-treatment facility. The subsequent logistical and production handling leading to new production (new product) is not included in the calculation cycle. Our distance calculation tool uses Google Maps calculations. All figures are expressed as kilograms of carbon dioxide equivalent (CO2e) per ton of material. This includes the Kyoto Protocol’s basket of greenhouse gases. Note that biogenic CO2 is excluded from these figures.

Calculation Formula: CO2e Emissions from Waste Generated in Operations
∑ (produced waste (tons) × waste-type- and waste-treatment-specific emission factor (kg CO2e/ton))

Companies can both purchase recycled materials and sell recyclable products. To avoid double counting of emissions, the recommended allocation method, the “recycled content method” according to the GHG Protocol, is used. This method allocates emissions to the company that uses the recycled material. To create transparency and reveal the full greenhouse gas effects within and outside the inventory boundary, the TCC database also visualizes the avoided emissions. The figures for avoided emissions compare the emissions from processing recycled materials with the production of equivalent virgin materials. These figures should be used as an indicator of the avoided emissions from recycling and as a motivational factor for proper waste management and sorting.


Data collection

Data is collected from a wide range of sources, including industry associations providing average information at the European level, databases such as ecoinvent, Defra, EXIOBASE, and reports and data from third parties (e.g., national and international research institutes, academic journals, manufacturer information, public-municipal data, and treatment plant data). Transport data sources are based on figures from the Defra database with a distribution between vehicle type and function. Waste management data is modeled using Ecoinvent data and WRATE.

A comprehensive effort is made to ensure that the data used is relevant and complete as a basis for TheCO2Calculator. For the majority of materials and products, the data meets the quality standards defined below. However, it is not always possible to find data that meets these standards in a field that continues to try to meet the increased data demands from science and EU regulation.

Data indicator

Requirement

Commentar

Timeliness

Data less than 5 years old and updated annually.

Ideally, data should be less than five years old. In the few cases where reliable data from the last five years is not available, the most recent available data has been used.

Validity

Data will be sourced from reliable sources and databases. Where possible, data from publicly available sources will be used.

 

Accuracy/Variance

None

Many used datasets provide average data without information on variance. Therefore, it is not possible to identify variance.

Completeness

All datasets must be reviewed to ensure they cover inputs and outputs related to the life cycle stage.

 

Consistency

The methodology is applied consistently.

 

Representativeness

Data should be representative for Denmark.

The datasets reflect average production in Europe.


Examples of Sources from Ecoinvent:
LCA institutes in the ETH domain (Swiss Federal Institutes of Technology (ETH) Zurich and Lausanne, Paul Scherrer Institute (PSI) Villigen, and Swiss Federal Laboratories for Materials Science and Technology (Empa) in St. Gallen and Dübendorf) and the LCA group from Agroscope in Zurich continued their collaboration in the Swiss Centre for Life Cycle Inventories, ecoinvent Centre.

Europe

  • Mines ParisTech in Paris, France
  • Norwegian University of Science and Technology
  • Polytechnic University of Milan, Italy
  • Royal Institute of Technology in Stockholm, Sweden
  • Swiss Federal Institute of Technology in Zurich & Lausanne
  • Technical University of Denmark
  • University of Cambridge, England
  • University of Oxford, England
  • University of Stuttgart, Germany


North America

  • Berkeley University of California, USA
  • Harvard University, USA
  • Massachusetts Institute of Technology, USA
  • Polytechnic University of Montreal, Canada
  • Stanford University, USA
  • Yale University, USA


Asia

  • Beijing Institute of Technology, China
  • National University of Singapore
  • The Energy and Resources Institute, India
  • University of Tokyo, Japan


South America

  • Federal University of Technology – Paraná, Brazil
  • Pontifical Catholic University of Peru
  • University of Los Andes, Colombia
  • University of São Paulo, Brazil


Africa

  • University of Cape Town, South Africa
  • University of Johannesburg, South Africa


Oceania

  • Massey University, New Zealand
  • University of New South Wales, Australia

Features

Features