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Open AccessArticle

Mapping and Spatial Analysis of Electricity Load Shedding Experiences: A Case Study of Communities in Accra, Ghana

1
Department of Mechanical Engineering, Faculty of Technology, University of Tlemcen, B.P. 119|Pôle Chetouane, Tlemcen 13000, Algeria
2
United Nations University Institute for Environment and Human Security (UNU-EHS), UN Campus, Platz der Vereinten Nationen 1, D-53113 Bonn, Germany
3
Pan African University Institute of Water and Energy Sciences—PAUWES, c/o University of Tlemcen, B.P. 119|Pôle Chetouane, Tlemcen 13000, Algeria
4
Department of Geography, Ludwig-Maximilians-Universität München (LMU), Luisenstrasse 37, 80333 München, Germany
*
Author to whom correspondence should be addressed.
Energies 2020, 13(17), 4280; https://doi.org/10.3390/en13174280
Received: 15 June 2020 / Revised: 22 July 2020 / Accepted: 24 July 2020 / Published: 19 August 2020
(This article belongs to the Special Issue Sustainable Energy Reviews)
In many developing countries, electricity outages occur frequently with consequences for sustainable development. Moreover, within a country, region or city, the distribution of outages and their resultant impacts often vary from one locality to another. However, due to data constraints, local-scale variations in outage experiences have seldom been examined in African countries. In this study, a spatial approach is used to estimate and compare exposure to electricity load shedding outages across communities in the city of Accra, Ghana. Geographic Information System and statistics from the 2015 rolling blackouts are used to quantify neighborhood-level load shedding experiences and examine for spatial patterns. The results show that annual load shedding exposure varied greatly, ranging from 1117 to 3244 h. The exposure values exhibit statistically significant spatial clustering (Moran’s I = 0.3329, p < 0.01). Several neighborhoods classified as load shedding hot or cold spots, clusters and outliers are also identified. Using a spatial approach to quantify load shedding exposure was helpful for overcoming the limitations of lack of fine-grained, micro-level outage data that is often necessary for such an analysis. This approach can therefore be used in other data-constrained cities and regions. The significant global spatial autocorrelation of load-shedding exposure values also suggests influence by underlying spatial processes in shaping the distribution of load shedding experiences. The resultant exposure maps provide vital information on spatial disparities in load shedding implementation, which can be used to influence decisions and policies towards all-inclusive and sustainable electrification. View Full-Text
Keywords: electricity outage; spatial analysis; neighborhoods; load shedding; Ghana electricity outage; spatial analysis; neighborhoods; load shedding; Ghana
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Nduhuura, P.; Garschagen, M.; Zerga, A. Mapping and Spatial Analysis of Electricity Load Shedding Experiences: A Case Study of Communities in Accra, Ghana. Energies 2020, 13, 4280.

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