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UNIDOGoverno de Moçambiquegef

20220419 143348


The United Nations Industrial Development Organization (UNIDO) has been working with key stakeholders from the government, , financial service providers, and the private sector to address market failures that prevent the adoption of renewable energy systems in rural areas under the TSE4ALLM (Towards Sustainable Energy for All in Mozambique) project financed by GEF (Global Environmental Facility).. One of the tools developed by UNIDO to serve this purpose is COMFAR, the ( COmputer Model for Feasibility Analysis and Reporting)

As part of the capacity building and knowledge management activities of this project, a training session on COMFAR COmputer Model for Feasibility Analysis and Reporting) was organized by UNIDO with participants from FUNAE, BCI, UEM, MADER and MIREME.

It is expected that the training will bring immediate and direct results to increased efficiency of all involved parties during the operationalization of the BCI-SUPER credit line launched in April 2021, in a joint collaboration between UNIDO, BCI and FUNAE. Under this credit line, private entities seeking financial assistance receive technical assistance and orientation to develop bankable projects which are subsequently analyzed by distinct established committees on their technical and financial soundness with constant feedback to the proponent. The objective is to contribute to the prevalence of a systematic approach for the identification, appraisal, evaluation and monitoring of investment projects that will be received from the private sector.

The programme will be offered as a basic and advanced levels training. A similar programme with a higher level of intensity will be offered at a later stage to selected participants in a Training for Trainers (ToT) certification format that will ensure continuity of capacity building and knowledge transfer beyond the project timeline. At the end of the training programme participants will be able to conduct financial and economic appraisal of investment projects and will be able to construct simulations for short and long-term financial and economic situation of industrial and non-industrial investment projects.