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Main Authors: Perriment, Rebecca, Mergulhao, Vasco, Kumtepeli, Volkan, Parikh, Priti, McCulloch, Malcolm, Howey, David
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2502.14630
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author Perriment, Rebecca
Mergulhao, Vasco
Kumtepeli, Volkan
Parikh, Priti
McCulloch, Malcolm
Howey, David
author_facet Perriment, Rebecca
Mergulhao, Vasco
Kumtepeli, Volkan
Parikh, Priti
McCulloch, Malcolm
Howey, David
contents Solar home systems provide low-cost electricity access for rural off-grid communities. As access to them increases, more long-term data becomes available on how these systems are used throughout their lifetime. This work analyses a dataset of 1,000 systems across sub-Saharan Africa. Dynamic time warping clustering was applied to the load demand data from the systems, identifying five distinct archetypal daily load profiles and their occurrence across the dataset. Temporal analysis reveals a general decline in daily energy consumption over time, with 77% of households reducing their usage compared to the start of ownership. On average, there is a 33% decrease in daily consumption by the end of the second year compared to the peak demand, which occurs on the 96th day. Combining the load demand analysis with payment data shows that this decrease in energy consumption is observed even in households that are not experiencing economic hardship, indicating there are reasons beyond financial constraints for decreasing energy use once energy access is obtained.
format Preprint
id arxiv_https___arxiv_org_abs_2502_14630
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Understanding long-term energy use in off-grid solar home systems in sub-Saharan Africa
Perriment, Rebecca
Mergulhao, Vasco
Kumtepeli, Volkan
Parikh, Priti
McCulloch, Malcolm
Howey, David
Systems and Control
Solar home systems provide low-cost electricity access for rural off-grid communities. As access to them increases, more long-term data becomes available on how these systems are used throughout their lifetime. This work analyses a dataset of 1,000 systems across sub-Saharan Africa. Dynamic time warping clustering was applied to the load demand data from the systems, identifying five distinct archetypal daily load profiles and their occurrence across the dataset. Temporal analysis reveals a general decline in daily energy consumption over time, with 77% of households reducing their usage compared to the start of ownership. On average, there is a 33% decrease in daily consumption by the end of the second year compared to the peak demand, which occurs on the 96th day. Combining the load demand analysis with payment data shows that this decrease in energy consumption is observed even in households that are not experiencing economic hardship, indicating there are reasons beyond financial constraints for decreasing energy use once energy access is obtained.
title Understanding long-term energy use in off-grid solar home systems in sub-Saharan Africa
topic Systems and Control
url https://arxiv.org/abs/2502.14630