4.7 Article

Optimal deployment of energy services for economic upliftment of low-income communities: A South African case study

Journal

ENERGY
Volume 285, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2023.129444

Keywords

Energy system model; Poverty alleviation; Rural electrification; Off-grid; Africa

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Low-income communities face a cycle of causality between lack of energy services and insufficient income. This study proposes a novel energy system model to optimize the deployment and dispatch of energy supply and services in a South African village. The results show that optimized technology rollout can save each person over 1500 productive hours per year at a cost below 0.2 $/hour. The study also identifies the optimal order of technology deployment for driving economic development.
Low-income communities face a causality dilemma: A lack of energy services hampers income growth and insufficient income hampers energy service provision. Interventions delivering cost-effective energy services can address this dilemma, triggering a virtuous cycle of economic upliftment. While several studies have investigated cost-effective energy supply to low-income communities, a gap exists regarding holistic optimization of energy service deployment at different levels of economic development. Hence, a novel energy system model of a South African village is presented to optimize deployment and hourly dispatch of energy supply and energy services to recover time lost to poverty-related activities (e.g., gathering wood and water). Results showed that an optimized technology rollout can save each person over 1500 productive hours per year at an average cost below 0.2 $/hour. The model also identified the optimal order of technology deployment for driving economic development. Interestingly, an electrical grid connection was of minor importance because local mini-grids could economically supply the modest power demands of lighting, refrigeration, water pumping, and cleaning, while energy-intensive cooking and water heating can be economically performed using fuels and solar heaters. Detailed studies of individual low-income communities are recommended to outline optimal technology deployment strategies and reveal the low costs involved.

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