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This guide describes an economic model developed by Sustainable Energy for All (SEforALL) and AllOn to analyze the Nigerian solar upstream value chain. The tool evaluates the economic viability, job creation, and greenhouse gas (GHG) emission reductions associated with three market scenarios: the importation of products, local assembly, and local manufacturing of solar home systems (SHS) and mini-grids.

This case study analyzes the energy access landscape in Madagascar, focusing on the financing and infrastructure requirements to achieve universal electricity and clean cooking access by 2030. It contrasts a 'business as usual' (BAU) scenario, where grid access declines due to population growth, with a forecast scenario requiring significant investment in stand-alone solar, mini-grids, and improved cookstoves (ICS). The report highlights profound affordability challenges for rural households and the need for quality standards and regulatory consistency to attract private investment.

This document outlines the Terms of Reference for the Sustainable Energy for All (SEforALL) Funders’ Council, a consultative body established by the Governance Board to facilitate collaboration and dialogue between SEforALL's donors and its leadership.

This annex provides a comparative analysis of electrification data for 20 countries with the largest electricity access deficits, triangulating government reports, household surveys, utility data, and industry sales to identify trends and socioeconomic patterns of access.

This guidebook by Sustainable Energy for All (SEforALL) provides a comprehensive overview of career pathways in the sustainable energy and international development sectors. It details the organizational structure of SEforALL, outlining roles within internal operations and external programmes, and offers guidance on the educational backgrounds, technical skills, and soft skills required for interns and analysts. The document also describes SEforALL's remote recruitment process and its commitment to diversity and inclusion in the green energy workforce.

This guide explains how to configure fuel economy data for transport analysis within the LEAP software, covering unit selection, aging profiles, and the calculation of stock average fuel economy.

The document is a guide for the 'Constants' menu option within a software tool, explaining how to use and manage constant values in expressions.

This guide explains how to configure and vary Integrated Benefits Calculator (IBC) methods within LEAP scenarios, specifically regarding health impact functions, particulate matter scaling, and background emission scenarios.

The Environmental Loadings Factors screen is a tool within the TED data pages used to specify and manage environmental effects for technologies, allowing for the entry of numeric values or expressions for loading factors such as emission factors.

This guide explains how to reference data variables, results variables, fuel variables, and constants within expressions in the LEAP software to create models with both exogenous and endogenous variables.

This guide describes the land-based resource modeling capabilities within the Low Emissions Analysis Platform (LEAP), specifically its ability to assess land-use change, biomass energy strategies, and the availability of renewable resources.

The 'Renewable Qualified' variable in optimization-based scenarios specifies the percentage of a process's output (from 0% to 100%) that is considered renewable, used alongside the module-level 'Renewable Target' variable.

This guide describes the Geographic Mapping screen in LEAP, which allows users to create named lists of raster-based GIS data sets to allocate emissions to grid squares for visualization in interactive maps.

This guide explains how the Low Emissions Analysis Platform (LEAP) integrates with the open-source NEMO framework to perform energy system optimization. It details the capabilities for both partial and full energy system optimization, the costs and constraints considered in least-cost calculations, and the options for foresight modeling.

This guide explains how the LEAP software calculates and displays useful energy demand, distinguishing it from final energy demand based on device efficiency and losses.

This guide explains the 'Minimum Share of Production' variable within the Stockholm Environment Institute's energy-system-optimization tools, which ensures a specific process supplies at least a defined percentage of a fuel's total annual production regardless of cost.

This guide describes the 'Transformation analysis' functionality within the LEAP software, which simulates the conversion and transportation of energy from primary resource extraction and imports to final consumption.

This guide provides a step-by-step procedure for configuring optimization modeling within the Low Emissions Analysis Platform (LEAP), specifically focusing on the integration of the NEMO framework and various solvers to calculate optimal capacity expansion pathways.

This guide describes the Cost-Benefit Reports feature within the LEAP software, explaining how it provides a comparative overview of incremental cumulative costs and benefits across different scenarios relative to a reference baseline.

This guide explains how to specify up to three pollution control technologies, such as SOx scrubbers or particulate filters, when providing environmental data for energy technologies in the TED system.