This guide aims to accelerate the flexibility and responsiveness of learning systems by providing guidance on the design, issue and recognition of micro-credentials.
This guide aims to help energy statisticians understand the various elements and processes involved in renewable energy data collection and management, and identify capacity gaps. It covers seven requirements for effective data management: 1. Legal and institutional frameworks; 2. Well-defined data requirements; 3. Sufficient skilled personnel; 4. Clear methodologies and processes; 5. Appropriate data collection […]
This guide addresses the challenges faced by rural energy enterprises in developing countries, and sets out solutions such as business models offering cooking energy as a service.
The is comprehensive course is intended for energy statisticians working at national statistical offices and ministries in charge of energy.
This web portal provides an extensive introduction into bioenergy technology, policy, financing and more.
This action plan, developed with support from ECREEE, lays out the bioenergy strategy of Côte d’Ivoire for 2021-2030. It includes an extensive background and context section, as well as strategic priorities and measures to promote these.
This report highlights the economic, social and environmental benefits that energy and transport sector-coupling and a transition towards EV- and RE-based, efficient systems can create in small island settings, and provides tools for the planning of such a transition.
This paper presents the results of a techno-economic study of a potential waste-to-energy plant in Kampala, Uganda, including modeling to project energy generation potential and the payback period for the initial investment.
This brief presents the regulatory framework and country context for waste-to-energy projects in Côte d’Ivoire.
This feasibility study describes the institutional framework for waste management in Côte d’Ivoire, presents a baseline on compost and biogas value chains, and provides a feasibility assessment based on economic models.