LUIS
estimates the Land Use Intensity of your software.
Energy technologies, for example, solar photovoltaics, coal power, and hydropower, can use huge amounts of land throughout their lifecycle.
Based on the energy used to operate your software, and the mix of energy sources in the grid, this plugin estimates the area of land that needs to be used for a year to produce the energy needed by your software (m2/y).
Optional fields:
input-parameters
: A list of parameters containing kWh values to compute total land usage. By default'energy'
parameter is used.energy-sources
: Takes a list of kWh or percentage values describing the energy grid mix. See example manifest below. The following are accepted sources:- gas
- coal
- nuclear
- hydro
- solar
- wind
- other*
use-electicity-maps
: Uses Electricity Maps API as data source for grid mix. Requires API key exported to enviroment variables asELECTRICITY_MAPS_TOKEN
. Valid values includelatest
. See Electricity Maps API docs.electicity-maps-zone
: If using Electricity Map, zones can be specified. See Electricity Map API zone docs.
* Note that all sources that are not named will be included in other, which uses the average land use intensity score of the other sources for it's calculations. This will have greater impact on estimation of grid mixes using highter amounts of 'other' energy sources.
The energy used to operate your software in kWh.
Estimated Land Use Intensity of your software in m2/y.
Energy used for the operating of Software x Land Use Intensity of Energy (LUIE) = Land Use Intensity of Software (LUIS)
Land Use Intensity of Energy (LUIE) is the area of land that needs to be used for a year to produce 1kWh of energy (m2/kWh/y). To calculate LUIE we consider the Land Use Intensity of different energy sources (e.g. coal power, solar photovoltaics, etc.) and the mix of these energy sources in the grid.
Energy Source | LUI |
---|---|
Gas | 0.001 |
Coal | 0.015 |
Nuclear | 0.0003 |
Hydro | 0.0235 |
Solar | 0.012 |
Wind | 0.0013 |
Sources:
- UNECE (2022). Integrated Life-cycle Assessment of Electricity Sources.
- Jessica Lovering, Marian Swain, Linus Blomqvist,Rebecca R. Hernandez (2022). Land-use intensity of electricity production and tomorrow’s energy landscape
If you do not specify a custom energy mix, or use electricity maps, by default, we use the global energy mix.
Energy Source | Percentage of global energy |
---|---|
Gas | 22.45 |
Coal | 35.63 |
Nuclear | 9.18 |
Hydro | 14.96 |
Solar | 4.57 |
Wind | 7.32 |
Other | 3.49 |
With this energy mix, we calculate that average global LUIE is 0.01036
m2/kWh/y.
Source:
To run the plugin, you must first create an instance of LandUsage
and call its execute()
function to return land-usage
import {LandUsage} from './land-usage';
const landUsage = LandUsage();
const result = await landUsage.execute([
{
'energy': 0.024343,
},
]);
IF users will typically call the plugin as part of a pipeline defined in a manifest
file. In this case, instantiating the plugin is handled by
ie
and does not have to be done explicitly by the user.
The following is an example manifest
that calls 'land-usage'`:
name: land-usage-demo
description: example calculating LUI
tags:
initialize:
plugins:
land-usage:
path: 'land-usage'
method: LandUsage
global-config:
input-parameters: ['energy']
energy-sources:
solar: 50
wind: 20
gas: 30
tree:
children:
child:
- land-usage
inputs:
- timestamp: 2023-07-06T00:00
energy: 3.5
- timestamp: 2023-07-06T00:10
energy: 2.9
You can run this example manifest
by saving it as ./examples/manifests/test/land-usage.yml
and executing the following command from the project root:
npm i -g @grnsft/if
npm i -g @grnsft/if-plugins
git clone https://github.com/corscada/land-usage
cd land-usage
npm link
cd ..
npm link land-usage
ie --manifest ./examples/manifests/test/land-usage.yml --output ./examples/outputs/land-usage.yml
The results will be saved into the output-path
.