Typology of Housing and Household Energy Behaviors in Cameroon: Diagnosis for better Energy Efficiency

Authors

  • SIMO KAMGA Felix Laboratory of Energetic and Applied Thermal Process, Department of Automatic, Energetic and Electrical Engineering, ENSAI, P.O BOX 455 University of Ngaoundere, Cameroon Author
  • NGOUEM Félix Junior Laboratory of Energetic and Applied Thermal Process, Department of Automatic, Energetic and Electrical Engineering, ENSAI, P.O BOX 455 University of Ngaoundere, Cameroon Author
  • MATUAM Balbine Laboratory of Energetic and Applied Thermal Process, Department of Automatic, Energetic and Electrical Engineering, ENSAI, P.O BOX 455 University of Ngaoundere, Cameroon Author
  • EDOUN Marcel Laboratory of Energetic and Applied Thermal Process, Department of Automatic, Energetic and Electrical Engineering, ENSAI, P.O BOX 455 University of Ngaoundere, Cameroon Author
  • KUITCHE Alexis Laboratory of Energetic and Applied Thermal Process, Department of Automatic, Energetic and Electrical Engineering, ENSAI, P.O BOX 455 University of Ngaoundere, Cameroon Author

DOI:

https://doi.org/10.14741/ijcet/v.16.2.1

Keywords:

Habitats, Behaviors, Households; Diagnosis, Energy Efficiency

Abstract

This research analyzes the determinants of domestic energy efficiency in Cameroon through a quantitative study of 333 households in Douala, Yaoundé, and Ngaoundéré. Using Chi-square χ^2independence tests, the study explores correlations between sociodemographic factors, housing characteristics, and installed energy capacity. Key Results include: Material Inertia: A strong geographical dependence exists between cities and construction materials p < 0.001. Adobe bricks with cement mortar, dominant in Ngaoundéré, offer under-exploited thermal efficiency potential compared to the cement-dominated metropolitan areas of Douala and Yaoundé. Generational Transition: Refrigeration equipment follows a life cycle, with a critical acquisition phase between ages 25 and 35, identifying this as the pivot segment for introducing high-performance technologies. The Performance Paradox: Analysis demonstrates that physical size and equipment type are not reliable indicators of installed power. Only the Energy Class (A+, A++) allows for a real and significant reduction in power demand < 50 kW. Information Deficit: A major obstacle was identified: 69% of users are unaware of their appliance's energy class, a technical ignorance that increases with the surface area of the dwelling.

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Published

2026-03-10

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Section

Articles

How to Cite

Typology of Housing and Household Energy Behaviors in Cameroon: Diagnosis for better Energy Efficiency. (2026). International Journal of Current Engineering and Technology, 16(2), 100-108. https://doi.org/10.14741/ijcet/v.16.2.1