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Joint optimal planning of electricity and modern energy cooking services access in Nyagatare

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IIT-21-106R.pdf (5.101Mb)
Date
2021-07-02
Author
Sánchez Jacob, Eduardo
González García, Andrés
Mazorra Aguiar, Javier
Ciller Cutillas, Pedro
Lumbreras Martín, Julio
Pérez Arriaga, José Ignacio
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info:eu-repo/semantics/publishedVersion
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Abstract
 
 
In 2019, there were 759 million people globally without access to electricity and 2.6 billion people lacked access to clean cooking. Cooking with electricity could contribute to achieving universal access to energy by 2030. This paper uses geospatially-based techniques—a computer model named REM, for Reference Electrification Model—to show the impact of integrating electric cooking into electrification planning. Three household scenarios were analyzed: one for providing basic electricity access with no electric cooking; another for cooking with electricity; and the third for cooking half of the meals with electricity and half with another fuel, with a clean stacking process. Results of the application of REM to the three scenarios were obtained for the Nyagatare District, Rwanda. The case study showed that electric cooking substantially changes the mix of technologies and the total cost of the least-cost electrification plan. It also showed that electric cooking can be cost competitive compared to LPG and charcoal in grid-connected households and can reduce greenhouse emissions. Stacking with energy-efficient electric appliances provides most of the benefits of full electric cooking at a lower cost and is a pathway worthy of further consideration.
 
URI
https:doi.org10.3390en14144093
Joint optimal planning of electricity and modern energy cooking services access in Nyagatare
Tipo de Actividad
Artículos en revistas
ISSN
1996-1073
Materias/ categorías / ODS
Instituto de Investigación Tecnológica (IIT)
Palabras Clave

SDG7; energy access; clean cooking; eCook; electrification; geospatial planning; electrification modes; stacking scenarios; Reference Electrification Model; low- and middle-income countries
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