This article discusses the potential of heat and electricity co-generation from biomass waste to both expand energy access and improve waste management in rural areas.
This study aims to determine the viability of electricity generation from municipal solid waste in Ndola, Zambia, and finds that the most suitable technology is biomethanation.
This paper reviews the potential for the generation of modern energy from organic waste in Madagascar, and provides recommendations to accelerate progress.
This report challenges the prevailing narrative that green hydrogen is primarily a product for export from renewable-rich and industry-poor countries; rather, it underscores green hydrogen’s potential as a catalyst for sustainable development within developing countries that can contribute to economic growth, environmental sustainability and social progress.
This report focuses on how green hydrogen and fuel cell technologies could be initially rolled out in developing countries by presenting a series of applications that could be initially deployed in some locations and later scaled up.
This paper presents a value chain approach to identify priority areas for developing national hydrogen strategies, focussing on emerging and developing economies.
This database presents the current status, policy barriers, and key innovations for electrification of mobility, heating and cooling, and hydrogen production.
This report presents the results of a survey undertaken to investigate the current status of gender equality in the biogas sector, and compares these with a baseline survey conducted in 2012.
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 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.