This guide provides an overview of aspects to consider in the development and financing of a renewable energy project, both for public of private promoters and investors. English: https://www.ecoserveis.net/wp-content/uploads/2021/05/Guide-to-Financing-of-Sustainable-Energy-Projects-2nd-edition.pdf Spanish: https://www.ecoserveis.net/wp-content/uploads/2019/04/guia-para-la-financiacion-de-proyectos-de-energia-sostenible-2a-edicion.pdf
Derisking Renewable Energy Investment (DREI) introduces an innovative, quantitative framework to assist policymakers in developing countries to cost-effectively promote and scale-up private sector investment in renewable energy.
This report discusses potential social and environmental risks associated with the roll-out of the GETFiT renewable energy investment programme in Zambia, as well as mitigation measures.
This handbook examines financing mechanisms suitable for the renewable energy access sector in Madagascar, and provides advice on preparing financing applications.
This paper provides general guidelines for conducting Environmental Impact Assessments for waste-to-energy projects.
This database presents the current status, policy barriers, and key innovations for electrification of mobility, heating and cooling, and hydrogen production.
This report explores the critical intersections of AI development, gender equality and energy transitions, emphasizing how AI applications can advance a sustainable, equitable and just energy transition.
This brief discusses how African LDCs can develop industrial policies that prioritise infrastructure, clean technologies and youth employment.
These guidelines provide advice on the development of green hydrogen clusters, which are industrial clusters that share green hydrogen and renewable energy for various purposes and can significantly contribute to industrial decarbonisation.
This paper discusses the role of AI in the energy transition in Latin America, identifies key factors for successful implementation in the region and proposes an AI maturity model for the energy transition that allows stakeholders to assess the status and gaps for the AI adoption.