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Potential contribution of renewables to the improvement of living conditions of poor rural households in developing countries: Cameroon׳s case study

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  • Mboumboue, Edouard
  • Njomo, Donatien

Abstract

Energy is considered as a key source for the future and plays a pivotal role in its socioeconomic development by raising the standard of living and the quality of life. It is critical to achieving virtually all the Millennium Development Goals (MDGs) and today, all the Sustainable Development Goals (SDGs). Whether, it is electricity for schools or clinics, energy for the delivery of health, education and sanitation, services, clean fuel to reduce indoor pollution, energy for pumping water or heat for cooking and water boiling, energy in all its forms will be required to achieve these ends. This paper examines the relationship between renewables and living conditions of poor rural households in developing countries with a particular focus on Cameroon. Its goal is threefold: first, analyzing the energy situation of the country and the living standard of its rural households; second, promoting renewables usage; and third, formulating consolidated policy recommendations to foster the diffusion of profitable renewable structures. It globally aims to encourage decision-makers to increase the share of renewables in the energy mix and to integrate into their development policies the concept of Sustainable Development, thrifty in resources and low carbon content. From this study, we found that in national average, the solar radiation received in Cameroon along the year is 4.2824KWhm−2d−1. This allows us to evaluate its solar potential at 7.431×108GWh per year, representing 128,988 times the total electric production of the country estimated in 2014 at 5.761 billion kWh. In sub-Saharan Africa region, Cameroon has the second largest biomass potential (with 21 million hectares of forest) and the second largest hydroelectric potential (with 294TWh/year). In spite these enormous potentials, poverty affects more than 50% of rural households in Cameroon and less than 10% of them have access to modern energies.

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  • Mboumboue, Edouard & Njomo, Donatien, 2016. "Potential contribution of renewables to the improvement of living conditions of poor rural households in developing countries: Cameroon׳s case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 266-279.
    • Handle: RePEc:eee:rensus:v:61:y:2016:i:c:p:266-279
    DOI: 10.1016/j.rser.2016.04.003
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    Cited by:

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    2. Suman, A., 2021. "Role of renewable energy technologies in climate change adaptation and mitigation: A brief review from Nepal," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    3. Hoffman, Lauren A. & Ngo, Truc T., 2018. "Affordable solar thermal water heating solution for rural Dominican Republic," Renewable Energy, Elsevier, vol. 115(C), pages 1220-1230.
    4. Tiam Kapen, Pascalin & Jeutho Gouajio, Marinette & Yemélé, David, 2020. "Analysis and efficient comparison of ten numerical methods in estimating Weibull parameters for wind energy potential: Application to the city of Bafoussam, Cameroon," Renewable Energy, Elsevier, vol. 159(C), pages 1188-1198.
    5. Xu, Li & Zhang, Qin & Shi, Xunpeng, 2019. "Stakeholders strategies in poverty alleviation and clean energy access: A case study of China's PV poverty alleviation program," Energy Policy, Elsevier, vol. 135(C).
    6. Prinsloo, Gerro & Mammoli, Andrea & Dobson, Robert, 2016. "Discrete cogeneration optimization with storage capacity decision support for dynamic hybrid solar combined heat and power systems in isolated rural villages," Energy, Elsevier, vol. 116(P1), pages 1051-1064.
    7. Muhumuza, Ronald & Zacharopoulos, Aggelos & Mondol, Jayanta Deb & Smyth, Mervyn & Pugsley, Adrian, 2018. "Energy consumption levels and technical approaches for supporting development of alternative energy technologies for rural sectors of developing countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 90-102.
    8. Chin, Min Yee & Qin, Yuting & Hoy, Zheng Xuan & Farooque, Aitazaz Ahsan & Wong, Keng Yinn & Mong, Guo Ren & Tan, Jian Ping & Woon, Kok Sin, 2024. "Assessing carbon budgets and reduction pathways in different income levels with neural network forecasting," Energy, Elsevier, vol. 305(C).
    9. Sun, Tao & Shan, Ming & Rong, Xing & Yang, Xudong, 2022. "Estimating the spatial distribution of solar photovoltaic power generation potential on different types of rural rooftops using a deep learning network applied to satellite images," Applied Energy, Elsevier, vol. 315(C).
    10. Shahsavari, Amir & Akbari, Morteza, 2018. "Potential of solar energy in developing countries for reducing energy-related emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 275-291.

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