Solar home systems (SHSs) have seen rapid growth and have proven to be a viable source of electricity for households due to their capability to reach remote users that do not have access to grid systems. Based on a comprehensive literature review of 139 papers focussing on SHSs in Sub-Saharan Africa, this paper highlights the key trends, research gaps and policy recommendations. The literature was categorised into four themes: institutional, technology, viability and user-centric. The review finds that the current primary themes of research are technology, user-centric and viability. This highlights the need for further research into the institutional barriers, need for a regulatory framework and stronger incentives for scale-up of SHSs. PAYG systems are gaining ground in off-grid solar markets providing flexibility on payments for consumers in resource challenged settings. The authors also identified paucity of research in countries with low electrification rates, highlighting new locations for SHS research.
Solar home systems (SHSs) are successfully addressing energy access deficits across the globe, particularly when combined with pay-as-you-go (PAYG) payment models, allowing households to pay for energy services in small instalments. To increase energy access, it is vital to understand the PAYG SHS customer journey in depth. To aid this, the paper presents unique data from active customers, consisting of structured interviews (n = 100) and two focus groups (n = 24) across two districts in Rwanda. These results are presented under a novel customer journey framework, which describes all the individual stages a customer might experience, including awareness and understanding, purchase, usage, upgrade, recommendation and retaining or switching energy source. The paper reveals that the customer journey is non-linear and cyclical in nature, acknowledging that a household operates in a social network within which they could influence or be influenced by others. It also highlights the growing importance of SHS recommendations in raising awareness of SHSs, pointing to the shifts in the off-grid energy market environment where customer awareness no longer appears to be a main adoption barrier.
Globally, rates of electrification and clean cooking are low, particularly in Sub-Saharan Africa. Off-grid energy solutions have a vital role to play in accelerating clean energy access to address Sustainable Development Goal 7. For organisations aiming to provide both electricity and cooking services, there is a need for holistic studies on adoption determinants to aid market expansion. This paper presents a comprehensive literature review of the adoption determinants and barriers for liquefied petroleum gas (LPG), solar home systems (SHS) and electric cooking (e-cooking) in Sub-Saharan Africa. A total of 40 adoption determinants were identified across the 71 publications examined. Of these, 30 determinants were shared by at least two of the technologies, whilst six were specifically linked to LPG and four to SHS. Key determinants that cut across technologies included reliability of alternative technologies (such as grid supply), reliable energy supply through the technology in question, affordability, household size and location (urban/rural). The findings show that there is an overlap in the demographics that use these technologies, as urban households often use SHS as a backup to the electricity grid and their cooking needs can feasibly be met by LPG or e-cooking devices. There is a clear opportunity for e-cooking devices to be sold as appliances for SHS. E-cooking devices such as electric pressure cookers can be complementary to LPG due to their suitability for cooking different foods. Pay-as-you-go models, which have a proven track record with improving access to SHS and are beginning to also be applied to LPG, have the potential to provide a strong foundation for scaling up of LPG and e-cooking services.
Off-grid technologies, such as solar home systems (SHS), offer the opportunity to alleviate global energy poverty, providing a cost-effective alternative to an electricity grid connection. However, there is a paucity of high-quality SHS electricity usage data and thus a limited understanding of consumers’ past and future usage patterns. This study addresses this gap by providing a rare large-scale analysis of real-time energy consumption data for SHS customers (n = 63,299) in Rwanda. Our results show that 70% of SHS users’ electricity usage decreased a year after their SHS was installed. This paper is novel in its application of a three-dimensional convolutional neural network (CNN) architecture for electricity load forecasting using time series data. It also marks the first time a CNN was used to predict SHS customers’ electricity consumption. The model forecasts individual households’ usage 24 h and seven days ahead, as well as an average week across the next three months. The last scenario derived the best performance with a mean squared error of 0.369. SHS companies could use these predictions to offer a tailored service to customers, including providing feedback information on their likely future usage and expenditure. The CNN could also aid load balancing for SHS based microgrids.
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