Background: PV/diesel microgrids are getting more popular in rural areas of sub-Saharan Africa, where the national grid is often unavailable. Most of the time, for economic purposes, these hybrid PV/diesel power plants in rural areas do not include any storage system. This is the case in the Bilgo village in Burkina Faso, where a PV/diesel microgrid without any battery storage system has been set up. This power plant is composed of three diesel generators operating in parallel (two of 16 kW and one of 24 kW), coupled with a photovoltaic field of 30 kWp. It was observed that for such power plants, the grid management is not always efficient due to constantly fluctuating solar output and loads. This inconsistency in energy output raises the question if integrating battery energy storage systems could improve the grid's performance. While many studies in the literature focus on hybrid energy systems, only a few of them have tackled the optimization of existing and operational systems. Methods: This study investigated three scenarios based on the existing microgrid's characteristics: conventional standalone diesel generators, PV/diesel without battery storage and PV/diesel with a battery storage system which are the main technologies used for off-grid rural electrification in Burkina Faso. The levelized cost of electricity (LCOE) was used to assess the economic performance of each scenario, and the calculations were made using the HOMER software. Results: It was found that the best among the scenarios considered is the PV/diesel/battery configuration which has the lowest LCOE of US$ 0.524/kWh. The battery storage system for the optimal configuration has a capacity of 182 kWh with about 8 h of autonomy. Conclusions: It can be inferred from this study that a storage unit is necessary for an optimal management of a PV/diesel microgrid. Indeed, the storage unit significantly reduces the operating and maintenance costs associated with running diesel generators, as well as the excess electricity. The storage system also allows for a greater reduction in CO₂ emissions compared to systems without storage.

The population in Burkina Faso is rapidly adopting irrigation to adapt to negative impacts of climate change like prolonged drought, rainfall variability and desertification. The solar water pumping systems (SWPS) could be an attractive option in view of climate change impacts, increasing diesel costs and grid electricity scarcity that the country suffers. However, due to high initial cost SWPS, population mainly uses diesel water pumps (DWPs). The main objective of this study is to assess the potential of microfinanced SWPS for irrigation in rural areas of Burkina Faso. Based on ground data collection and profitability analysis, this study investigates the best SWPS market segments for irrigation in rural areas of Burkina Faso. The case study of the village of Korsimoro was considered. Especially, the study is focused on the onion crop as it is the most cultivated crop in the area of study. It was found that there are three main SWPS market segments in the area of study: market segment 1 which is that of farmers individually owning and using a DWP with rated power between 1.5 and 3 kW, market segment 2 which is composed of farmers individually owning a DWP of rated power ranging from 4 to 7.5 kW and market segment 3 which is that of farmers paying for pumping services offered by a pump owner in market segment 2. The study revealed that replacing polyvinyl chloride (PVC) water storage tank by DWPs to be used on cloudy days is profitable for all the market segments. The study showed also that at 9.5% interest charged on agricultural equipment, only SWPS for the market segments 2 and 3 can be fully financed through microloan without risk of long payback period. The results imply that more attention should be given to SWPS in the context of rural areas of Burkina Faso to enhance the productive use of energy and also mitigate the impacts of climate change on the environment. In addition, the study provides detailed information to farmers about how they can make more profitable their activities.

Purpose: A major challenge faced by West Africa is to find comfortable housing as a result of climate change and population growth. The climatic adaptation of buildings and their indoor environment become an essential condition for maintaining the health and productivity of the occupants. This paper proposes a model to assess the thermal comfort of naturally ventilated buildings in hot and dry climates in Burkina Faso.Design/methodology/approach: The proposed method is an adaptive model which relies on a combination of parameters such as the operative temperature, the new effective temperature and the basic parameters of thermal comfort. It consists in proposing the zones of thermal comfort on the diagram of the humid air for each climatic region.Findings: A decision-making tool is set up for evaluating the comfort of buildings to better consider the bio-climatic concept through a long-term comfort index. This comfort index is defined and is used to assess the degree of thermal discomfort for various types of housing. Two natural ventilation pilot buildings located in Ouagadougou were considered. The results show that the pilot building whose wall are is made of Earth blocks achieves 26.4% of thermal comfort while the building made of hollow cement block achieves 25.8% of thermal comfort.Originality/value: The decision-making tool proposed in the present study allow building stakeholders to better and easily design, assess and improve the thermal environment of buildings.

To promote a low‐carbon society, it is urgent to better integrate renewable energies into energy supply systems. This paper examines the impact of solar photovoltaic (PV) integration into the national electrical grid in Burkina Faso on the electricity production cost. The analysis is based on the levelized cost of electricity (LCOE) technique. Several levels of PV integration have been considered namely 20%, 40%, 60%, and 80% of the total installed capacity. First, the results revealed all the configurations with PV integration are more attractive and cost‐effective compared with the conventional diesel standalone electricity system. The sensitivity analysis shows that the configuration with 80% PV is the most attractive when compared to the other ones as it has the lowest LCOE and CO₂ emissions compared with the other scenarios. This paper also shows that in the context of rising fuel prices and environmental concern, the electricity production based on diesel standalone system is not a viable solution for Burkina Faso at the moment. Finally, the results revealed that subsidies offered by the government of Burkina Faso to support the electricity production cost will be more effective for a system with PV integration. This paper gives detail highlights of solution for policymakers to make useful investment in solar energy and widen the access to electricity in Burkina Faso.

Extending the public electricity grid to rural or peri-urban areas is sometimes very costly and unprofitable due to their remoteness, low population density and sometimes difficult accessibility. In view of this, and in the concern of a sustainable development, the autonomous PV and/or wind power systems is increasingly used. However, these fluctuating source systems remain unreliable due especially to their intermittent nature, what justifies the integration of battery storage systems to them. They are also still expensive, particularly in the African context, limiting their access to the greatest number of the population. In addition to these problems of cost and reliability, the issue of optimal sizing of such systems is essential. In this paper, energy storage technologies, performance criteria, basic energy production and storage models, configuration types, sizing and management techniques discussed in the literature for the study of stand-alone solar and/or wind power systems in isolated sites are reviewed. The findings of the present study reveals that electrochemical battery is the main technology used for energy storage in stand-alone PV-wind systems due in particular to their maturity compared to the other storage technologies. However, it also shows that while batteries are the most widely used energy storage technology for solar and wind power systems, they are still expensive. The paper also revealed that traditional methods of optimal sizing and management of autonomous solar and wind power generation systems are being used less and less, in favor of artificial intelligence methods, due mainly to their limited flexibility and inability to solve complex problems.