Bottom-up assessment of household electricity consumption in dynamic cities of the Global South—Evidence from Kigali, Rwanda
Data on electricity consumption is crucial for assessing and modeling energy systems, making it a key element of sustainable urban planning. However, many countries in the Global South struggle with a shortage of statistically valid, geocoded, and disaggregated household-level data. This paper aims...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-08-01
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| Series: | Frontiers in Sustainable Cities |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/frsc.2023.1130758/full |
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| author | Jannik Vetter-Gindele Felix Bachofer Andreas Braun Ernest Uwayezu Gaspard Rwanyiziri Ludger Eltrop |
| author_facet | Jannik Vetter-Gindele Felix Bachofer Andreas Braun Ernest Uwayezu Gaspard Rwanyiziri Ludger Eltrop |
| author_sort | Jannik Vetter-Gindele |
| collection | DOAJ |
| description | Data on electricity consumption is crucial for assessing and modeling energy systems, making it a key element of sustainable urban planning. However, many countries in the Global South struggle with a shortage of statistically valid, geocoded, and disaggregated household-level data. This paper aims to develop a generic methodology for the generation of such a database in terms of electricity consumption. The methodology was tested in Kigali, the capital city of Rwanda, with a focus on all single-family residential building types of the inner city. Discrete data on buildings is obtained through combined information products derived from very high resolution (VHR) satellite imagery, field surveys, and computer assisted personal interviewing. In total, 509 valid geocoded survey datasets were used to evaluate and model household electricity consumption, as well as electrical appliance ownership. The study's findings reveal that the arithmetic mean of specific electricity consumption was 3.66 kWh per household per day and 345 kWh per capita per year in 2015. By subdividing the data into distinct building types as well as their spatial location, and weighting the specific values according to their proportion in the study area, a more accurate mean value of 1.88 kWh per household per day and 160 kWh per capita per year was obtained. Applying this weighted mean to extrapolate household electricity consumption for the study area, in conjunction with the sample's precision level, resulted in an estimate of 126–137 GWh for the year 2015. In contrast, using the arithmetic mean would have led to values twice as high, even exceeding the total electricity consumption of the entire city, including multi-family and non-residential buildings. The study highlights the significance of on-site data collection combined with geospatial mapping techniques in enhancing of understanding of residential energy systems. Using building types as indicators to distinguish between households with contrasting electricity consumption and electrical appliance load levels can address the challenges posed by rapid urban growth in the Global South. This proposed method can assist municipal administrations in establishing a database that can be updated resource-efficiently at regular intervals by acquiring new satellite images. |
| first_indexed | 2024-03-12T14:41:10Z |
| format | Article |
| id | doaj.art-85298b6c40d04d8ca7885edcc9b838d0 |
| institution | Directory Open Access Journal |
| issn | 2624-9634 |
| language | English |
| last_indexed | 2024-03-12T14:41:10Z |
| publishDate | 2023-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Sustainable Cities |
| spelling | doaj.art-85298b6c40d04d8ca7885edcc9b838d02023-08-16T08:37:21ZengFrontiers Media S.A.Frontiers in Sustainable Cities2624-96342023-08-01510.3389/frsc.2023.11307581130758Bottom-up assessment of household electricity consumption in dynamic cities of the Global South—Evidence from Kigali, RwandaJannik Vetter-Gindele0Felix Bachofer1Andreas Braun2Ernest Uwayezu3Gaspard Rwanyiziri4Ludger Eltrop5Institute of Energy Economics and Rational Energy Use (IER), University of Stuttgart, Stuttgart, GermanyEarth Observation Center (EOC), German Aerospace Center (DLR), Wessling, GermanyInstitute of Geography, University of Tübingen, Tübingen, GermanyCentre for Geographic Information Systems and Remote Sensing (CGIS), College of Science and Technology, University of Rwanda, Kigali, RwandaCentre for Geographic Information Systems and Remote Sensing (CGIS), College of Science and Technology, University of Rwanda, Kigali, RwandaInstitute of Energy Economics and Rational Energy Use (IER), University of Stuttgart, Stuttgart, GermanyData on electricity consumption is crucial for assessing and modeling energy systems, making it a key element of sustainable urban planning. However, many countries in the Global South struggle with a shortage of statistically valid, geocoded, and disaggregated household-level data. This paper aims to develop a generic methodology for the generation of such a database in terms of electricity consumption. The methodology was tested in Kigali, the capital city of Rwanda, with a focus on all single-family residential building types of the inner city. Discrete data on buildings is obtained through combined information products derived from very high resolution (VHR) satellite imagery, field surveys, and computer assisted personal interviewing. In total, 509 valid geocoded survey datasets were used to evaluate and model household electricity consumption, as well as electrical appliance ownership. The study's findings reveal that the arithmetic mean of specific electricity consumption was 3.66 kWh per household per day and 345 kWh per capita per year in 2015. By subdividing the data into distinct building types as well as their spatial location, and weighting the specific values according to their proportion in the study area, a more accurate mean value of 1.88 kWh per household per day and 160 kWh per capita per year was obtained. Applying this weighted mean to extrapolate household electricity consumption for the study area, in conjunction with the sample's precision level, resulted in an estimate of 126–137 GWh for the year 2015. In contrast, using the arithmetic mean would have led to values twice as high, even exceeding the total electricity consumption of the entire city, including multi-family and non-residential buildings. The study highlights the significance of on-site data collection combined with geospatial mapping techniques in enhancing of understanding of residential energy systems. Using building types as indicators to distinguish between households with contrasting electricity consumption and electrical appliance load levels can address the challenges posed by rapid urban growth in the Global South. This proposed method can assist municipal administrations in establishing a database that can be updated resource-efficiently at regular intervals by acquiring new satellite images.https://www.frontiersin.org/articles/10.3389/frsc.2023.1130758/fullelectricity consumption analysiselectrical appliance ownershipenergy consumptionhousehold classificationbuilding typologyremote sensing |
| spellingShingle | Jannik Vetter-Gindele Felix Bachofer Andreas Braun Ernest Uwayezu Gaspard Rwanyiziri Ludger Eltrop Bottom-up assessment of household electricity consumption in dynamic cities of the Global South—Evidence from Kigali, Rwanda Frontiers in Sustainable Cities electricity consumption analysis electrical appliance ownership energy consumption household classification building typology remote sensing |
| title | Bottom-up assessment of household electricity consumption in dynamic cities of the Global South—Evidence from Kigali, Rwanda |
| title_full | Bottom-up assessment of household electricity consumption in dynamic cities of the Global South—Evidence from Kigali, Rwanda |
| title_fullStr | Bottom-up assessment of household electricity consumption in dynamic cities of the Global South—Evidence from Kigali, Rwanda |
| title_full_unstemmed | Bottom-up assessment of household electricity consumption in dynamic cities of the Global South—Evidence from Kigali, Rwanda |
| title_short | Bottom-up assessment of household electricity consumption in dynamic cities of the Global South—Evidence from Kigali, Rwanda |
| title_sort | bottom up assessment of household electricity consumption in dynamic cities of the global south evidence from kigali rwanda |
| topic | electricity consumption analysis electrical appliance ownership energy consumption household classification building typology remote sensing |
| url | https://www.frontiersin.org/articles/10.3389/frsc.2023.1130758/full |
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