The project provides an integrated irrigation-energy planning framework to identify groundwater irrigation development potentials in Ethiopia under three energy solutions: grid-connected electricity, off-grid solar PV, and diesel. It presents least cost energy options to produce vegetables, maize, wheat, and pulses with small scale irrigation in different parts of the country under combined biophysical and socioeconomic constraints.

The project involves modeling irrigation water demand for the selected crops, estimating energy requirements for irrigation, estimating the costs of meeting the energy requirements under the three energy options, and estimating the national irrigation development potential in Ethiopia with a cost-effective placement of the energy options.

The project updated previous irrigation suitability maps for Ethiopia with spatially explicit least-cost energy alternatives for irrigation development with groundwater resources. The analysis shows that by 2030, there is a potential to add more than 1.05 million hectares of groundwater irrigated area to produce maize, wheat, vegetables, and pulses with small scale irrigation in Ethiopia, and off-grid energy solutions, including solar PV, will play important roles in the effort to develop groundwater-based irrigated agriculture in the country. For about 25 percent of this potential, solar irrigation is the most cost efficient, while on-grid electricity is the most cost efficient for about 43 percent of the potential. Diesel is the most cost efficient of the three energy options for about 32 percent of the potential. The methodological details and assumptions of the study, along with crop specific variations in the results, are provided in an EEG working paper by Xie and Mekonnen (2022) and the accompanying policy brief.

In addition, the project includes micro-econometric studies on how net crop returns differ by the type of energy source used to access water for irrigation and on households’ choices of electric appliances.

Outputs / Resources

  • On August 24th, 2021, we organized a one-hour session entitled "productive use of energy use in Ethiopia's agriculture" at the Stockholm world water week. The session presented insights from ongoing studies in productive uses of energy in agriculture in Ethiopia. His Excellency Dr. Frehiwot Woldehanna, the then State of Minister of the Ministry of Water, Irrigation, and Electricity (MoWIE) of Ethiopia presented the government’s plan and initiative to supply electricity in the country in general and to facilitate the use of electricity for productive purposes beyond lighting in rural areas. Dr. Hua Xie, a Research Fellow at IFPRI, presented preliminary results from our study on spatially explicit estimation of energy demand for irrigation in Ethiopia and the least cost energy options to supply the energy demand for irrigation. June Lukuyu, Hub Fellow and Researcher at the University of Massachusetts Amherst – another EEG funded project, presented demand forecasting and simulation techniques for productive uses in Ethiopia’s agriculture that combines machine learning techniques with classical on-the-ground surveys. Kester Wade, a Senior Associate at the Rocky Mountain Institute (RMI) presented their study on estimating energy demand for selected agro-processing value-chains in Ethiopia.
  • Webinar scheduled for April 1st, 2022 International Food Policy Research Institute (IFPRI), RWI – Leibniz Institute for Economic Research, University of Massachusetts Amherst, Columbia University, Ethiopia’s Ministry of Water and Energy, and Ethiopia’s Ministry of Irrigation & Lowlands. Ethiopia has ambitious targets to expand the productive use of electricity in agriculture and enjoys favourable conditions through low electricity prices and expanding supply capacities. This webinar showcases and discusses main insights from ongoing research on energy use for irrigation in Ethiopia as part of the Applied Research Programme on Energy and Economic Growth (EEG). The webinar combines research presentations, policy input, and a guided discussion with live audience participation throughout. The multi-disciplinary research teams from Ethiopia, the US, and Germany will present their work on high-resolution estimations of energy demand for irrigation in Ethiopia and least-cost energy options to cater for that demand, determining how net crop returns differ by the type of energy source used to access water for irrigation, detecting smallholder irrigation and diesel - powered irrigation that combines machine learning techniques with multiscale satellite imagery and on-the-ground survey data.