The energy transition in action: urban domestic fuel choices in a changing Zimbabwe

Campbell, Bruce M.; Vermeulen, Sonja J.; Mangono, J. J.; Mabugu, Ramos

doi:10.1016/s0301-4215(02)00098-8

Cited by 112 publications

(86 citation statements)

References 12 publications

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“…The positive result suggests that household energy utilization could reflect a complementary relationship between electricity, firewood, and dried dung or an observation that electricity is desirable but still relatively expensive compared to traditional sources. Contrary to this finding, another study [27] found that access to electricity has a negative correlation with a household's choice for fuel-wood sources.…”

Section: Determinants Of Energy Choicesmentioning

confidence: 64%

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Factors influencing the adoption of biogas digesters in rural Ethiopia

et al. 2017

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Background: Increasing energy demands on farm households in Ethiopia have escalated challenges related to land degradation, indoor air quality, and rural economic development. Soil deterioration followed by reduced carbon sequestration compounds the adverse effects of environmental degradation and climate change. The Ethiopian government has disseminated thousands of bio-digesters across rural villages with the hope that introducing biodigesters to rural farm households would address all of these issues. However, there is scant information about how households make energy choices and consequently how the introduction of biogas energy will affect income and the environment in these rural agricultural communities. Therefore, this study aims to verify how biogas energy adopters make decisions about their energy consumption and how biogas energy use compares to traditional alternatives such as firewood, charcoal, and dried animal dung. Methods: Quantitative data were gathered using semi-structured questionnaires of 300 farmers in the Tigray region of Ethiopia, following the collection of qualitative data obtained via focus groups. Using descriptive analysis, we quantified weekly consumption of traditional energy sources and major reasons why households choose each energy source. We estimated a multivariate probit model and conducted correlation tests to verify the use of biogas energy as a substitute or complement for traditional energy sources. Results: Results show that a household's choice for biogas energy was statistically and positively correlated to both firewood and charcoal use. Despite biogas digester adoption in several households, the majority continue to depend upon traditional energy sources. This suggests that overall household energy consumption increases with the availability of biogas digesters. The study reveals that the size of cattle holding, working age, gender, access to electricity, access to credit services, and livestock mobility influence household energy choices. Conclusions: The study concludes that household biogas energy use remains below expectations, even though subsidies make the units affordable for small farmers. We assert that households are more likely to adopt technologies that facilitate cooking food, baking injera, and preparing coffee. Biogas utilization might improve if farmers have access to improved stoves and credit services. However, policy makers also need to consider the possibility that providing access to biogas digesters may actually increase the use of traditional fuel sources and have the reverse effect than that intended.

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Section: Determinants Of Energy Choicesmentioning

confidence: 64%

“…Two dominant strands of literature explain household behavior on energy choice, the "energy ladder" and "energy stacking" [26][27][28]. The energy ladder holds the view that a given household that has a wide range of energy options can move from one level to another based on income level [5,[29][30][31].…”

Section: Methodological Frameworkmentioning

confidence: 99%

Factors influencing the adoption of biogas digesters in rural Ethiopia

et al. 2017

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“…In general, two types of studies have been conducted in developing countries. Some studies were observational (e.g., [25][26][27][28]). For instance, Miah et al [9] carried out an exploratory survey on rural and semi-urban households in Bangladesh and concluded that income-generating activities should be encouraging households to "progress" along the energy ladder.…”

Section: Introductionmentioning

confidence: 99%

“…Njiti and Kemcha [28] recommended substituting wood energy with ecologically clean fuels in Cameroon. On the other hand, Campbell et al [26] recommended that the Government of Zimbabwe should question the desirability of encouraging housholds along the energy ladder. In these and other related studies, income played a key role in defining the energy shift from dirty to clean energy sources [25,29].…”

Section: Introductionmentioning

confidence: 99%

Modeling Fuel Choice among Households in Northern Cameroon

Nlom

Karimov

2015

Sustainability

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Abstract:The present study aims to explore economic and socio-demographic factors that influence a household's probability to switch from firewood to cleaner fuels (kerosene and LPG) in northern Cameroon. The paper employs an ordered probit model to construct cooking patterns and fuel choices. Three main cooking sources are considered: firewood, kerosene, and liquefied petroleum gas. Utilized data are derived from a national survey conducted in 2004 by the Cameroonian National Institute of Statistics. The study analyzes the data related to the Sudano-Sahelian agro-ecological zone, which is one of the most affected by land degradation and decertification. While results indicate that there is a potential for a transition from traditional to cleaner fuels in the studied region, this transition is still in its earlier stage. The research demonstrates that firewood and kerosene prices, age of household heads, educational level of household heads and willingness to have a gas cylinder, as well as type of dwelling have a statistically significant impact on fuel-switching decisions.

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“…The figures are based on the Longrange Energy Alternatives Planning (LEAP) modeling tool used to follow energy process from production to subsequent use, as applied in the Zimbabwe Energy Accounting Project (ZEAP) [3] (p. [1][2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic System for Intermixed Biogas and Photovoltaics Measurement and Control

Matindife

Wang

Sun

2018

Mathematical Problems in Engineering

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This study develops a new integrated measurement and control system for intermixed biogas and photovoltaic systems to achieve safe and optimal energy usage. Literature and field studies show that existing control methods on small-to medium-scale systems fall short of comprehensive system optimization and fault diagnosis, hence the need to revisit these control methods. The control strategy developed in this study is intelligent as it is wholly based on fuzzy logic algorithms. Fuzzy logic controllers due to their superior nonlinear problem solving capabilities to classical controllers considerably simplify controller design. The mathematical models that define classical controllers are difficult or impossible to realize in biogas and photovoltaic generation process. A microcontroller centered fuzzy logic measurement and control embedded system is designed and developed on the existing hybrid biogas and photovoltaic installations. The designed system is able to accurately predict digester stability, quantify biogas output, and carry out biogas fault detection and control. Optimized battery charging and photovoltaic fault detection and control are also successfully implemented. The system is able to optimize the operation and performance of biogas and photovoltaic energy generation.

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The energy transition in action: urban domestic fuel choices in a changing Zimbabwe

Cited by 112 publications

References 12 publications

Factors influencing the adoption of biogas digesters in rural Ethiopia

Factors influencing the adoption of biogas digesters in rural Ethiopia

Modeling Fuel Choice among Households in Northern Cameroon

Fuzzy Logic System for Intermixed Biogas and Photovoltaics Measurement and Control

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