Global
Agriculture
Global
Agriculture

Electricity

Electricity consumption in relation to fuel consumption so far plays a minor role for most farming practices. This may change in future when more and more farming practices are digitalized.

For most farms electricity is needed for irrigation pumps or in case greenhouse gases are warmed with electrical heating. All other machinery usually is working on fuel consumption.

Electricity and AgBalance

The electricity consumed for farming practices can be entered manually into the model. The parameter electricity consumption for the machinery is inserted as the amount of electricity in MJ. The country can be selected to refelct the regional electricity source.

The energy consumption of an irrigation pump is considered where artificial irrigation is required for farming practices. The type of energy source (diesel or electricity) is essential information that needs to be entered for the assessment. Depending on the available data, the energy consumption can be entered based on primary data (in MJ/ha) or calculated using a dataset from (thinkstep AG, 2018)1 that models a generic pump based on publications from (Fan, Li, & Miguez-Macho, 2013)2 (Daccache, Ciurana, Rodriguez Diaz, & Knox, 2014)3 and (International Groundwater Resources Assessment Centre, 2017)4.

This model calculates the energy requirements of a diesel-based or electrical pump, by using the entered water volume, lift depending on the water source, operating pressure and power efficiency. If primary data on the technical specifications of the pump or the lift are not available, default values from above-mentioned publications are assumed.

Impact of Electricity

Depending on the electricity source, the amount needed on the farm will show an impact with its CO2 emissions on Climate Change as well as on other impact categories such as resource needs etc.

1 thinkstep AG. (2018). Search GaBi Databases. Retrieved from thinkstep GaBi: http://www.gabi-software.com/international/databases/gabi-data-search/

2 Fan, Y., Li, H., & Miguez-Macho, G. (2013). Global Patterns of Groundwater Table Depth. Science, 339, 940-943. Retrieved from https://agua.org.mx/wp-content/uploads/2018/01/Global-Patterns-of-Groundwater-Table-Depth.pdf

3 Daccache, A., Ciurana, J. S., Rodriguez Diaz, J. A., & Knox, J. W. (2014). Water and energy footprint of irrigated agriculture in the Mediterranean region. Environmental Research Letters, 9(12). doi:10.1088/1748-9326/9/12/124014

4 International Groundwater Resources Assessment Centre. (2017). Global Groundwater Information System (GGIS). Retrieved from International Groundwater Resources Assessment Centre: https://www.un-igrac.org/global-groundwater-information-system-ggis