CARBON DATA FOR SHARING LIBRARIES

A carbon calculator for tool libraries

In 2020 we started a project to create a carbon calculator that shows how much carbon was prevented from entering the atmosphere because tools were shared instead of bought. “Borrowing not buying” and reuse are imporant parts of or environmental aims, so figuring out how much impact we (and every other sharing library) are having is really important. There are other ways we save carbon (such as waste reduction, recycling, shared workshop space, material reuse) but these aren’t included at this stage.

Emission Factors:

A central part of the tool library carbon calculation is the emission factor. To calculate the amount of carbon saved, we need to know how much carbon was released in the making of a new version of a tool – the one someone would have bought if they didn’t borrow one instead. We need to know how much carbon was used to make the constituent parts – the embedded or embodied carbon. There are 3 databases of embedded carbon that we have used. Embedded carbon is the amount of carbon released in cradle to gate processes like extraction, transport, refinement and shaping. These aren’t perfect, for example there isn’t an embedded carbon value for a cordless drill, but there are factors for steel, plastic, batteries etc. We have combined these to approximate as best we can to create 12 different emission factors, to cover the make-up of most tools in a tool library inventory. These are shown in the table below. The 12 different factors are a combination of embedded carbon values according to the approximate amounts of that material in that tool type. It’s important to note that we are calculating the carbon produced in the manufacture of a new tool (which is not purchased because of the existence of the tool library), so we are not concerned with the material composition of older tools.

We used 3 different embedded carbon material databases to decide on each emission factors. These are:

When there were differences between these databases, we selected the data that most accurately represented our use case for tools, or in some cases combined data for more accuracy. This is noted in the second table below.

Emission factor types

We have selected 12 different emission types, categorised by the materials (one or more) in common tools. 

TypeExample
solid metalCrowbar, wrench
solid plastic/rubberPaint tray
mixed plastic/rubber and metalPaint roller, screwdriver
mixed wood and metalChisel, Axe
mixed wood and plasticGarden rake
woodMallet
aluminiumSpanner, bike tool
fabricBag
Cordless power toolCordless drill
Corded power tool (no battery)Corded angle grinder
Petrol based (metal mostly)Lawn mower
WEE ( flashlights, meters)Sensors

Emission Factor Values

TypeValuenotessource
solid metal3.2485Assume an average by weight of 95% steel and 5% aluminiumICE database values
solid plastic/rubber3.218Assume an average by weight of 80% plastic, 20% rubberICE database values
mixed plastic/rubber and metal3.23325Assume an average by weight of 50% plastic/rubber, and 50% solid metal factorICE database values
mixed wood and metal1.87075Assume an average by weight of 50% wood, and 50% metal factorICE database values
mixed wood and plastic1.8555Assume an average by weight of 50% plastic/rubber, and 50% of solid metal factorICE database values
wood0.493An average value, provided by ICE databaseICE database values
aluminium7.63Database value assumes and Aluminium trade mix (66% prim 33% sec)Climate Impact Forecast value
fabric7.96Assume an average by weight 50% cotton fabric and 50% nylon ICE database value
Cordless power tool6.165ICE database does not include battery values, so using UK government value for battery (12.119).Climate Impact database has a factor for motors under 500W, so using this value to improve accuracy for material content of motor.Assume an average by weight of 30% battery, 15% motor, 15%  solid metal factor, and 40% plastic/rubber factorMotor value from Climate Impact Forecast, battery from UK Government database, others from ICE database
Corded power tool (no battery)3.771
Assume an average by weight of 30% motor, 30% solid metal factor, 40% plastic/rubber factor
Motor value from Climate Impact Forecast, others from ICE database
Petrol based (metal mostly)4.132Assume an average by weight of 50% motor, 25% solid metal factor, 25% plastic/rubber factorMotor value from Climate Impact Forecast, others from ICE database
WEE (flashlights, meters)1.760“Small “ WEEE valueGovernment Factors database value

With these 12 values and the borrowing history of our tool library, we can calculate our carbon savings for any time period, tool type or member.

The calculation for each tool is:

number of times tool was borrowed instead of bought x weight of tool x emission factor = carbon saved for that tool

We are working with myturn.com to integrate this calculation on their website so that every sharing library that uses myturn will be able to see their carbon saving.