EGU23-2006, updated on 29 Dec 2023
https://doi.org/10.5194/egusphere-egu23-2006
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Soft-linking climate-land-water-energy assessment and planning models for sustainable development in rural Africa: preliminary results from the LEAP-RE RE4AFAGRI project

Giacomo Falchetta1,5, Muhammad Awais1, Edward Byers1, Vittorio Giordano2, Gregory Ireland3, Francesco Semeria2, Marta Tuninetti2, Adriano Vinca1, and Ackim Zulu4
Giacomo Falchetta et al.
  • 1International Institute for Applied Systems Analysis (IIASA), Austria (falchetta@iiasa.ac.at)
  • 2Department of Environment, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, Turin, Italy
  • 3Energy Research Center, University of Cape Town, Cape Town, South Africa
  • 4University of Zambia, Lusaka, Zambia
  • 5ECIP Division, Euro-Mediterranean Center on Climate Change (CMCC), Venice, Italy

In rural areas of Africa most communities live in poverty and lack access to services such as electricity and clean cooking fuels, water supply that is safe for human use, sufficient and nutritious food, crop irrigation systems, and appliances and services that can foster income generation. Promoting sustainable development requires an integrated understanding and planning along such dimensions. In the context of the RE4AFAGRI (“Renewables for African Agriculture”) project of  LEAP-RE (Long-Term  Joint  Research  and  Innovation  Partnership  on  Renewable  Energy between  the European Union and the African Union), four models representing land-water-crop-food-energy requirements and dynamics (WaterCROP, M-LED, OnSSET and MESSAGE-NEST) are calibrated and soft-linked. The ultimate aim is to enable a multi-scale, multi-sectoral assessment and planning of technologies and policies that can promote integrated sustainable development in the region. Here we present preliminary results for a set of scenarios in the country-study of Zambia. Results can inform both public decision-makers and private companies engaging in those sectors. The approach and open-source modelling platform are readily scaled and adapted to other countries and regions.

How to cite: Falchetta, G., Awais, M., Byers, E., Giordano, V., Ireland, G., Semeria, F., Tuninetti, M., Vinca, A., and Zulu, A.: Soft-linking climate-land-water-energy assessment and planning models for sustainable development in rural Africa: preliminary results from the LEAP-RE RE4AFAGRI project, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-2006, https://doi.org/10.5194/egusphere-egu23-2006, 2023.