Alexandros Korkovelos

The Global Electrification Platform (GEP) is a multi-phase project aiming at improving, standardizing, and simplifying the use of geospatial tools in least-cost electrification planning. It's front end is an open web platform for exploring electrification plans for all countries battling with energy access. Scenarios are based on the OnSSET model developed by KTH dESA. Both front and back end code of this project is open source, being designed upon the principles of transparency; it aspires to enable reusability, replicability and reproducibility of embedded processes and data.

Supporting the spatial, least-cost electrification analysis featuring IEA's special report on Energy Access Outlook for Africa. The analysis was based on a custom version of the OnSSET model accommodating the SDS and STEPS scenarios for 44 countries in SSA. The objective is to provide an in-depth analysis, quantitatively investigating today’s picture for access to modern energy, the strategies and technologies that can enable countries to achieve energy for all by 2030, and the ways in which reliable energy can move communities from poverty towards prosperity.

Developing a processing pipeline for integrating GIS data into the CLEWs model. The code collects, extracts and calculates key statistics on a defined unit level. Unit levels may be rasters (grid cells) or vector polygons (admin areas). The output is used as input in a typical CLEWs analysis.

The project employs a novel, modular and open source methodology to allow for delivery of multi-layered insights into estimated quantity and characteristics of electricity demand from agricultural activities (irrigation & post harvest processing) in Mozambique. The project is a collaboration between KTH dESA and Vivid Economics, and part of a multi-year WB ESMAP effort entitled “Geospatial Electrification Planning in the Africa Region”.

Developing a spatially-explicit model that determines, for two time steps (2025 and 2030), the electrification strategy that delivers electricity access at the lowest cost for several Geographical zones in Sub-Saharan Africa. The outcome is expected to feature IEA's Special Report on Africa (November 2019) as part of the World Energy Outlook (WEO) 2019 series. The objective is to provide an in-depth analysis, quantitatively investigating today’s picture for access to modern energy, the strategies and technologies that can enable countries to achieve energy for all by 2030, and the ways in which reliable energy can move communities from poverty towards prosperity.

Integrated geospatial electrification planning activity to assess potential electrification futures in Benin. The analysis was conducted using the OnSSET tool, utilising local data and involving key stakeholders from government, the private sector and academia. The final output includes a report in English and French and an open source code.

Integrated electrification planning activity in Madagascar as part of the World Bank LEAD project (P163870). The geospatial analysis was conducted using the OnSSET tool, utilising local data and involving key stakeholders from government and private sector. The final output includes a project report and an open source code.

Geospatial electrification analysis conducted for 44 countries in Sub-Saharan Africa as part of IEA'a special report on energy access, featuring WEO 2017. The project used best-in-breed analytics on geospatial electrification modelling and electricity demand projections and technology costs in alighnemnt with IEA's comprehensive modelling work.

This study explores the technological options and investment requirements needed to boost electricity access levels in Afghanistan and presents a method for performing a spatial based electrification analysis. As part of the World Bank’s wider effort to inform investments focused on increasing Afghans’ access to affordable and sustainable energy, the study offers an initial, “quick pass” at selected data to provide a sense of scale and to inform a more detailed analysis to be performed at a later date

This project uses geospatial data and OnSSET to determine the most cost-effective conventional and renewable energy technologies for bringing electricity to specific localities. It is designed to identify means of providing access to safe, affordable and reliable electricity to households that currently do not have it. The model compares options such as connections to the electrical grid, and mini-grid or stand-alone systems. It factors in population density, distance to transmission and road networks, renewable energy potential, fuel prices and estimated electricity consumption per household, among other considerations. Results of the model were vizualized in an interactive platform developed and operated by UNDESA.