Bioresource Mapping Tool

How does it work?

The model consists of a series of data sheets to capture materials arising from biological raw material, including price and fate information, bioresource content for each material and freight costs (1).

01

The tool collects material arisings from selected value chains, and these are quantified using geographical breakdown to be allocated on a county level.

02

It identifies the composition of the material arising, referred to as bioresource content, with up to 24 components assessed within the model (e.g., dry matter, calorific value, protein, fat, carbohydrate, etc.). This can provide the user with an insight on the potential value and uses of the material if used for bioeconomy applications, as well as its potential nutrient value if left on the land.

03

It assesses the accessibility constraints surrounding the material arisings, i.e., temporal availability (transport) as well as existing uses and economic constraints. This provides a more realistic look at the quantity of raw material that is available, as opposed to the theoretical arising.

For each selected raw material, the three levels of data, materials arising, bioresource content, and accessibility constraints, are collected. Once data has been added to the bioresource model, the user can manipulate the calculation data sheets and obtain the results, which can be viewed in data sheets and visual outputs in graphic form (Figures 2 & 3) 

Figure 1. Overview of bioresource model.

Bioresource mapping tool

How does it work?

The model consists of a series of data sheets to capture materials arising from biological raw material, including price and fate information, bioresource content for each material and freight costs (1).

01

The tool collects material arisings from selected value chains, and these are quantified using geographical breakdown to be allocated on a county level.

02

It identifies the composition of the material arising, referred to as bioresource content, with up to 24 components assessed within the model (e.g., dry matter, calorific value, protein, fat, carbohydrate, etc.). This can provide the user with an insight on the potential value and uses of the material if used for bioeconomy applications, as well as its potential nutrient value if left on the land.

03

It assesses the accessibility constraints surrounding the material arisings, i.e., temporal availability (transport) as well as existing uses and economic constraints. This provides a more realistic look at the quantity of raw material that is available, as opposed to the theoretical arising.

For each selected raw material, the three levels of data, materials arising, bioresource content, and accessibility constraints, are collected. Once data has been added to the bioresource model, the user can manipulate the calculation data sheets and obtain the results, which can be viewed in data sheets and visual outputs in graphic form (Figures 2 & 3) .

Figure 1. Overview of bioresource model.

Figure 2: Screenshot of modelling representing protein availability per county (maps, tables and bar/pie charts are exportable for reporting purposes).

Figure 2: Screenshot of modelling representing protein availability per county (maps, tables and bar/pie charts are exportable for reporting purposes).

Figure 3: Exportable charts with country level information as required

Figure 3: Exportable charts with country level information as required