Energy supply for clean cooking is a priority for Sub-Saharan Africa (SSA). Liquefied petroleum gas (LPG, i.e., propane or butane or a mixture of both) is an economically efficient, cooking energy solution used by over 2.5 billion people worldwide and scaled up in numerous low- and middle-income countries (LMICs). Investigation of the technical, policy, economic and physical requirements of producing LPG from renewable feedstocks (bioLPG) finds feasibility at scale in Africa. Biogas and syngas from the circular economic repurposing of municipal solid waste and agricultural waste can be used in two groundbreaking new chemical processes (Cool LPG or Integrated Hydropyrolysis and Hydroconversion (IH²)) to selectively produce bioLPG. Evidence about the nature and scale potential of bioLPG presented in this study justifies further investment in the development of bioLPG as a fuel that can make a major contribution toward enabling an SSA green economy and universal energy access. Techno-economic assessments of five potential projects from Ghana, Kenya and Rwanda illustrate what might be possible. BioLPG technology is in the early days of development, so normal technology piloting and de-risking need to be undertaken. However, fully developed bioLPG production could greatly reduce the public and private sector investment required to significantly increase SSA clean cooking capacity.

The imperative for rapid low-carbon transformations in social and economic systems has heightened reliance on systems modelling to inform decisions. Energy models are pivotal in shaping viable pathways and guiding interventions, thereby influencing policy agendas and public discourse. However, in sub-Saharan Africa, the utilization of model-based analysis for energy planning and policy remains limited, largely due to deficiencies in existing models. Research indicates that many of these models are ill-equipped to capture the context-specific challenges prevalent in African countries. Despite offering valuable insights, most models lack representation of uncertainties associated with political and governance dynamics. These findings underscore the urgent need to enhance domestic institutions’ modelling capabilities. While technical expertise is crucial, this paper contends that, given the inherently political nature of energy policy decisions, modelers must be cognizant of the political landscape in which problems are modelled and solutions are sought. We assert that energy modellers aiming to influence policies must endeavour to comprehend the underlying political economy at the intersection of energy planning and policymaking. Expanding on this premise, we delineate practical steps that modelling teams can adopt to conduct political economy analysis and grasp the factors influencing energy policymaking. By adhering to these steps, we posit that modelling teams could enhance the relevance, realism, and applicability of policy options proposed through modelling efforts.

Anchored by ambitions of economic growth and energy security, governments in developing countries are building large-scale energy infrastructures at a fast pace. While committed to making modern energy accessible to all, many are also reconfiguring their institutions to hasten the sector transformation into a market-oriented entity. In some cases, these ambitious agendas are also being pursued in the context of deteriorating infrastructure and supply shortfalls. The paper uses the Grand Ethiopian Renaissance Dam (GERD) to explore how political elites and citizens construct visions of the desirable future to be realised through large scale energy projects. After documenting how dominant accounts align with and diverge from citizens expectations, the paper explores how urban households reconcile the energy abundance large-scale projects promise with their experience of inadequate and increasingly expensive access to electricity. Furthermore, noting the absence of a meaningful and effective citizens engagement in the sector governance, the paper highlights the inherent risks of large-scale projects from an energy justice perspective.

Developing nations encounter significant challenges in accessing the necessary finance to meet climate goals. The emerging ‘Data-to-Deal’ approach is a collaborative effort by 60 specialists, which aims to address this by providing a flexible framework of options, tailored to individual country circumstances, aiming to enhance core functions and capabilities; it serves as a basis for concrete action, informing capacity building, technical assistance, and research. This paper argues for the mainstreaming of a holistic approach to accessing climate finance by outlining the components of the Data-to- Deal pipeline and showing the effectiveness of Data-to-Deal through the demonstration of its successful implementation in Costa Rica.