FIELD: A comprehensive FarmIng Electrical LoaD measurements dataset from 30 three-phase dairy farms in Germany

TL;DR

This paper introduces a detailed electrical load dataset from 30 German dairy farms to help improve energy efficiency in agriculture.

Contribution

The novel contribution is a first-of-its-kind, granular electrical load dataset from 30 German dairy farms with 72 submetered devices.

Findings

The dataset includes 1-second power readings from 30 dairy farms over one year.

It features 72 submetered energy-intensive devices, offering detailed insights into agricultural energy use.

This dataset aims to support energy efficiency and management in the agricultural sector.

Abstract

The industrial sector, which is characterised by complex and diverse equipment and processes, is a core contributor to carbon emissions. Agriculture, in particular, has seen an increase in carbon dioxide emissions, in contrast to methane and nitrous oxide emissions, due to the increased use of novel, energy-intensive agricultural technology. Therefore, to meet Net Zero targets, analyses of the energy consumption of dairy technologies are necessary to enhance the energy efficiency of the agricultural equipment. Incidentally, the only public electrical measurements datasets of agricultural technology are one for poultry feed for 111 days, one for a synthetic hourly load profile of a dairy farm in Finland and another with aggregate readings and submetered milking robots from three farms in Germany. This dataset aims to accelerate energy efficiency and management services in the sector by curating and providing access to a comprehensive, first-of-its-kind, granular (1-sec) power readings dataset from 30 dairy farms across Germany with 72 submetered energy-intensive equipment, for a period of over one year.

Figures