Search results

To rigorously examine success and failure in the use of small scale technologies for rural electrification.

Semi‐structured primary field interviews plus secondary sources.

Business model differences and influence of institutions important are important for understanding success and failure in rural electrification and the contribution rural electrification can play in rural development.

Data on the entire universe of distributed electrification efforts are unavailable. This highlights the need for better documentation of energy activities in rural areas.

The development of new policies to guide rural electrification towards more sustainable and development enhancing outcomes.

Prior studies have taken an ad hoc approach to study previous projects and suffer from case selection bias since their scope is limited in geography (one country, region or even village), technology (only PV or only wind or only renewables), or end‐use (household electrification and productive uses). This study proposes a clear set of independent and dependent (as well as control) variables and looks across a range of cases to draw conclusions.

The purpose of this paper is to illustrate and discuss the implications of the assessment and choice of electricity supply systems for rural communities of less than 500 inhabitants in Senegal. The paper is based on a study produced by Programme pour la Promotion de l'Electrification Rurale et l'Approvisionnement en Combustibles Domestiques, an advising body for the Senegalese Ministry of Energy and Mines.

The profitability index Taux d'Enrichissement en Capital is used as the main criterion for the economic evaluation of four technologies: diesel mini‐grids, photovoltaic, hybrid (pv‐diesel) generators, and solar home systems. Household demand is derived from real data of socio‐economic studies which serve as the basis for determining market segments defined by the distribution of the willingness to pay and the levels of service.

The simulations from nine demand cases show that high investment and/or operation expenditure create an insurmountable barrier given the limited payment capacity of rural populations, demonstrating that projects in this context are not profitable without subsidies. However, decentralised PV generation technologies are already demonstrated to be the least cost solution when the village lies further than 5.4 kilometers from the transmission grid.

This paper describes a planning path that could enable a faster implementation of rural electrification programs in remote areas considering three main elements, namely; willingness to pay, reduction of levels of supply service and support of communal management. However, the focus of the present work is mainly devoted to an analysis of the first two elements. Finally, the paper addresses the issue of how these technologies can be better implemented by national agencies and investors, with potential application outside of the Senegalese case study.

This paper assesses the impact of this program on the rural women's employment opportunities using data from the 2015 round of the household's living standard survey (HLSS) of Côte d'Ivoire.

In 2013, in order to improve the living conditions of the rural population, the Ivorian government launched the National Program for rural electrification (PRONER) to electrify all localities with more than 500 inhabitants.

The results show that PRONER, while reducing the time allocated to performing household chores, increases women's employment through the reallocation of time to full-time paid work in the agricultural and non-agricultural sectors. The authors also find that the allocation of men's time is not affected by this programme. A possible mechanism that would explain such a pro-women effect is the labour-saving technology introduced to home production as an effect of the reform.

As a limitation, it is important to note that these results were obtained in the specific context of PRONER in Côte d’Ivoire and are not necessarily applicable to rural electrification programmes in other contexts. Furthermore, the choice of other indicators to measure women's empowerment is limited by the quality of the data available. It would be interesting for future research to extend this analysis to include other aspects of women's empowerment and household welfare.

This paper is the first to the author’s knowledge to apply a robust econometric method by combining an inverse probability weighted regression adjustment model with Heckman sample selection method to access a robust causal effect of the PRONER in Côte d'Ivoire.

Resulting from large government interventions, India could attain 99% electrification in March 2019. However, the consequences are revenue losses due to lack of real-time efforts in bringing operational efficiencies of the power distribution companies (discoms). Distribution franchisees operate as agents to the discoms for performing their contracted functions in smaller high-loss making areas under jurisdiction of a discom. This study aims to explore how rural franchisees help or hinder requisite results.

A qualitative embedded multiple-case study was conducted. The case focused on two franchisees engaged in metering, billing and collection functions of a high-loss-making rural area dominated Indian state-owned discom. Data were collected through documents, personal observations and semi-structured in-depth interviews with franchisee employees situated at different levels of the organizational hierarchy. A review of pertinent literature and government documents was utilized in forming the codes for collecting the data.

It could be argued that franchisees with strong financial capability, human resources support and monitoring and control facilities could contribute effectively in generating revenue from rural and interior electrified mass. The analysis revealed various challenges serving as hindrances in achievement of contracted targeted outcomes. The analysis resulted in highlighting factors that if implemented could result in the needed outcome.

This study could be generalized only to similar socio-economic conditions. The findings could provide policy makers with valuable insights to emphasize on creating win–win situations for all the stakeholders to encourage franchisee participation.

This study is unique, as there is a dearth of empirical evidences relating to operational efficacies of these franchisees.

This paper aims to propose a comprehensive methodology for setting up rural electrifications for indigenous villages with minimum budgets and the lowest possible cost of electricity (COE). The electricity accessibility of rural area in Malaysia is not fully covered and the cost of extending the grid to these areas can be high as RM 2.7m per km. Lack of vigorous policies and economic attraction of the rural areas are also the main barriers to rural electrification. Electricity is an essential element of economic activities and the lack of electricity exacerbates poverty and contributes to its perpetuation. Therefore, a hybrid standalone power system can be an alternative solution for the rural electrification. A hybrid standalone power system is studied to investigate the potential of the implementation and the budget required.

A site survey has been carried out in a village in Peninsular Malaysia, namely, Kampung Ulu Lawin Selatan. A standalone hybrid system is modeled in HOMER Pro software and the data collected from the selected site are used to obtain the system configuration with the lowest COE. The load following and cycle charging energy dispatch methods are compared to identify the optimal system configuration that yields the lowest COE. The diesel generator-only system is chosen as a benchmark for comparisons.

The results show that the hybrid system constituted from the diesel generator, photovoltaic (PV), micro-hydro and energy storage using the load following energy dispatch method yields the lowest COE of RM 0.519 per kWh. The COE of the hybrid system is 378 per cent lower than that of the diesel generator-only system. The lead-acid energy storage system (ESS) is able to reduce 40 per cent of COE as compared to the system without ESS.

The results indicate that the COE of the diesel-micro hydro-PV-ESS system with load following dispatch strategy is RM 0.519 per kWh, and this value is 35 per cent higher than the average electricity price in Malaysia. However, it is important to note that the costs of extending the grid to the rural area are not taken into account. If this cost is considered into the electricity price, then the standalone hybrid power system proposed by this study is still a competitive alternative for rural electrification.

In this study, the impact of access to electricity on poverty reduction for Botswana is examined using the annual data from 1990 to 2021. The study was motivated by the need to establish if access to electricity could be a panacea on poverty reduction in Botswana. Given that the United Nations Sustainable Development Goals deadline is fast approaching, and Botswana being one of the signatories, is expected to end poverty in all its forms – Goal 1. Establishing the role that electrification plays in poverty alleviation, helps in refocusing Botswana’s poverty alleviation strategies on factors that have high impact on poverty. The main objective of this study, therefore, is to investigate the relationship between poverty alleviation and access to electricity in Botswana.

The study uses the autoregressive distributed lag (ARDL) approach to investigate the nature of the relations. Two poverty proxies were used in this study namely, household consumption expenditure and life expectancy.

The study found access to electricity to reduce poverty in the long run and in the short run, regardless of the poverty measure used. Thus, access to electricity plays an important role in poverty alleviation and Botswana is recommended to continue with the rural and urban electrification initiatives.

The study explores the impact of access to electricity on poverty reduction in Botswana, a departure from the current studies that examined the same relationship using energy consumption in general. This is on the back of increasing dependence of economic activities on electricity as a major source of energy.

Given the ever-growing fiscal commitments of Nigeria and her chequered history of electricity generation and distribution, the fortunes of the energy sector in the country have been affected by the prevalence of energy poverty. Government policies such as public capital expenditure (PCE) present a crucial option for reducing energy poverty in Nigeria, providing the purpose of this study.

To investigate the relationship between government capital spending and five distinct energy poverty proxies, this research applies the Bayer–Hanck cointegration system and the auto-regressive distributed lag (ARDL) bound test.

The findings indicate that public capital spending in Nigeria worsens energy poverty by reducing access to electricity, urban electrification, renewable energy consumption and renewable electricity generation, with a positive but insignificant influence on rural electrification.

This inquiry presents a pioneering investigation of the nexus between PCE and energy poverty in Nigeria. Also, aside from the variables of energy poverty adopted by existing studies, this study incorporates renewable energy consumption and renewable electricity output with implications for energy poverty and sustainable development.

Rural areas are one of the effective regions in economy and self-sufficiency field especially in agricultural and livestock section. Planning in the rural section and the effort in solving the problems of farmers lead to increase their interest in farming and manufacturing in the villages and decrease their migration to the cities and metropolitans. Therefore, the present study aimed at feasibility of electricity to a rural household in Iran using off-grid solar-based hybrid system.

In renewable energy projects, a successful evaluation requires suitable criteria so that one can properly analyze the operational behavior of all feasible scenarios. In the present paper, HOMER software has been used for this purpose for a village with no access to electricity grid (Bar Aftab-e Jalaleh, Iran). Due to drastic fluctuation of fossil fuel prices and varied solar radiations in various years because of climate change, sensitivity analysis has been performed using HOMER.

In the optimum status economically, 70% of needed energy is provided by solar cells at the price 0.792 $/kWh. The comparison between the optimum condition economically and the condition that only use fossil fuels revealed that the return on investment will occur after less than 2 years and have remained profitable over 23 years.

The authors hope that the results of this study can be used in planning of the authorities to realize the interests of people in this village.

According to the surveys, despite Iran being the first country in terms of providing solar power to the villages, so far no socio-economic-environmental assessment has been done for a solar cell-based micro-grid in an off-grid mode for a remote village that is deprived of electricity from a national electricity grid. In addition, for the first time in Iran, the effect of the fuel price and solar radiation parameters variability on the performance of system have been investigated.

This study aims to present preliminary results from an integrated evaluation of electricity supply systems for rural areas using renewable energy technologies by means of a multi‐objective decision making method

Goal programming is applied to obtain the optimal system configuration meeting the electricity demand, based on the location's resource availability and taking diesel generation as the alternative of reference. The performance of the system is evaluated through four attributes: electricity generation costs, employment and two environmental impacts (CO₂ emissions and land use). The model is designed for isolated rural area belonging to the non‐interconnected zones of Colombia.

Application of the method showed that biomass conversion technology has the highest potential and that renewable energy systems offer better performance than diesel generation. Reductions of more than 10 percent in unit electricity costs, land use rates and CO₂ emissions can be achieved.

Inclusion of additional attributes and sensitivity analysis are matters of future research.

The methodology used in this study is an alternative means to perform evaluation of electricity supply systems integrating several aspects of technology and which is flexible enough so as to enable the inclusion of a wider scope of interests towards energy access targets.

This study aims to focus on the nexus between off-grid systems and impacts on islands and remote villages in Ghana by investigating the sources and cost of energy, willingness to pay for electricity and impacts of off-grid energy on the local economy, education, health, social activities, the environment and migration.

Data were obtained from 110 households; heterogeneous impact analysis of off-grid technologies, average treatment effect by inverse probability weights (IPW) and inverse probability weighted regression adjustment (IPWRA) models were used to analyse the data.

The sources of energy are gas, kerosene, wood fuel and dry-cell battery. All households in communities with neither electricity nor off-grid system were willing to pay for electricity. Households without off-grid systems (US$8.1) were willing to pay higher amounts per month for electricity. The off-grid technologies improve the local economy, social activities, security, the environment, education and health as well as reduce out-migration.

Most of the literature on mini-grid/off-grid systems have been from the engineering and the technical perspective, with a few on the socioeconomic impacts of the systems and consumer engagements. Besides, methods including descriptive statistics, energy technology sustainability framework and qualitative analysis were used in these studies. Nevertheless, the authors used a more rigorous method of the doubly robust inverse probability weighted regression adjustment model and a heterogeneous method to model the impact analysis of off-grid systems.