Swarm electrification: A comprehensive literature review

In the global North, the need to decarbonize power generation is well documented and the challenges faced are endemic to the design of the electrical grids. With networks relying on centralized generation, it can be difficult to replace fossil-fuel power plants with renewable energy sources as generation may be intermittent causing grid instability when there is no ‘spinning reserve’ [1]. In parts of the global south, however, many under-electrified nations have high levels of solar irradiance. This, combined with falling prices for solar panels, is allowing for alternative paths to electrification from costly grid extensions and has resulted in grids built from the bottom up [2]. These grids can vary considerably in scale and capacity, dubbed micro-grids, nano-grids, and pico-grids. They can utilize AC, DC, or both and generally have either a centralized or distributed topology where each design has specific advantages and disadvantages [3]. Bangladesh has seen an unprecedented proliferation of small solar home systems. After performing a case study Groh et al. [4] discovered much of the generated electricity was not being utilized

Accessible decision support for sustainable energy systems in developing countries

With rising electricity demand through digitization and innovation, the urgency of climate change mitigation, and the recent geopolitical crisis, stakeholders in developing countries face the complex task to build reliable, affordable, and low-emission energy systems. Information inaccessibility, data unavailability, and scarce local expertise are major challenges for planning and transitioning to decentralized solutions. Motivated by the calls for more solution-oriented research regarding sustainability, we design, develop, and evaluate the web-based decision support system NESSI4Dweb+ that is tailored to the needs and capabilities of various stakeholders in developing countries. NESSI4Dweb+ is open access and considers location-specific circumstances to facilitate multi-energy planning. Its applicability is demonstrated with a case study of a representative rural village in southern Madagascar and evaluated through seven interviews with experts and stakeholders. We show that NESSI4Dweb+ can support the achievement of the United Nations Sustainable Development Goals and enable the very prerequisite of digitization: reliable electrification

Integrated design of photovoltaic power generation plant with pumped hydro storage system and agricultural facilities in Uhuelem-Amoncha African community

Seasonal and location dependence of renewable energy resources have limited their applications in power generation. Energy storage systems are promising solutions to the intermittence of renewable energy resources. Rural electricity grids are faced with economic sustainability challenges due to low power demand and poverty. As countries hopefully pass through various stages of development, their needs change. The electricity needs of developing countries surely differ from those of developed economies. Most of the global population without access to electricity, and all the consequences of it, is found in developing countries. Energy access is undoubtedly a significant catalyst for development. Developed countries mainly require technologies to ensure energy security, resilience, and occasionally emission control. Therefore, microgrids are emerging technologies capable of supporting the diverse needs of various stages of development. For example, a rural grid design around economic drivers like agriculture and micro industries can mitigate poverty and improve economic sustainability of rural grids. This study presents an Integrated Design of Photovoltaic Power Generation Plant with Pumped Hydro Storage System and Agricultural Facilities in Uhuelem-Amoncha African Community. The design explored the natural availability of water body in an elevated settlement area that offers a natural storage height for hydro energy storage. HOMER (Hybrid Optimization of Multiple Energy Resources) software was deployed to optimize the design. The designed photovoltaic power generation plant has a nominal capacity of 221 kW. The simulated results show the power supply probability of the plant as 99.9%. The cost of energy (COE) offered by the design is 0.456 [US$/kWh] which is 82% lower than the current cost of energy in the project community based on generation through petrol generators. The System has 100% renewable energy penetration. The plant is designed to power 50 households with a daily domestic energy consumption of 4.46 [kWh] each. The plant capacity also covers the irrigation water requirement of 50 acres of corn farms. A total of 100 units of designed intelligent pest control system will also be powered by the plant. A community refrigeration scheme of 27 [m3] equivalent volume is part of the plant design load. The benefits from the irrigation, water supply, pest control and refrigeration scheme will enhance the community’s socio-economic development and sustain the investment. Quantifying the integral socio-economic and environmental benefits is a subject of a future research

Off-grid community electrification projects based on wind and solar energies: A case study in Nicaragua

Despite various institutional efforts, about 22% of the total Nicaraguan population still do not have access to electricity. Due to the dispersed nature of many rural inhabitants, off-grid electrification systems that use renewable energy sources are a reliable and sustainable option to provide electricity to isolated communities. In this study, the design of an off-grid electrification project based on hybrid wind-photovoltaic systems in a rural community of Nicaragua is developed. Firstly the analysis of the location, energy and power demands of all users of the community is carried out. A detailed resource assessment is then developed by means of historical data, in-situ wind measurements and a specific micro-scale wind flow model. An optimization algorithm is utilized to support the design defining generation (number, type and location of generators, controllers, batteries and inverters) and distribution (electric networks) systems considering the detail of resource variations. The algorithm is modified in order to consider a long-term perspective and a sensitivity analysis is carried out considering different operation and maintenance costs' scenarios. The proposed design configuration combines solar home systems, solar based microgrids and wind based microgrids in order to connect concentrated groups of users taking advantage of best wind resource areas. (C) 2015 Elsevier Ltd. All rights reserved.Postprint (author's final draft

Bottom-up electrification introducing new smart grids architecture : concept based on feasibility studies conducted in Rwanda

Over the past eight years, off-grid systems, in the form of stand-alone solar home systems (SHSs), have proved the most popular and immediate solution for increasing energy access in rural areas across the Global South. Although deployed in significant numbers, issues remain with the cost, reliability, utilization, sustainability and scalability of these off-grid systems to provide higher-tiered energy access. Interconnection of existing stand-alone solar home systems (SHSs) can form a microgrid of interconnected prosumers (i.e., households owning SHS capable of producing and consuming power) and consumers (i.e., households without an SHS, and only capable of consuming power). This paper focuses on the role of a smart energy management (SEM) platform in the interconnection of off-grid systems and making bottom-up electrification scalable, and how it can improve the overall sustainability, efficiency and flexibility of off-grid technology. An interconnected SHS microgrid has the potential to unlock latent generation and storage capacity, and so effectively promote connected customers to higher tiers of energy access. This approach can therefore extend the range of products currently used by people located in the remote areas of developing countries to include higher-power devices such as refrigerators, TVs and potentially, electric cookers. This paper shows the results of field studies in the Northern Province of Rwanda within off-grid villages where people mainly rely on SHSs as a source of electricity. These field studies have informed further simulation-based studies that define the principal requirements for the operation of a smart energy management platform for the interconnection of SHSs to form a community microgrid

Renewable microgrid projects for autonomous small-scale electrification in Andean countries

Nowadays, 84% of the world population without access to electricity is located in rural areas of developing countries. In particular, in the Andean countries, about 10.4 million people lack of access to electricity, mainly in isolated poor regions. Considering the relevance of electricity in overcoming poverty and promoting socioeconomic development, local-regional-national governments, supported by international organizations, are making efforts to achieve full rural electrification. In this regard, renewable microgrid projects are an effective alternative where the national grid extension has limitations. The literature on the design of such projects is significant. However, when evaluating experiences, most works focus on an analysis of projects’ performance from a technical and/or economical point of view. In contrast, very few literature has been reported on the comparison of such experiences from the perspective of the design process itself and how decisions are taken by project developers. In this article, five rural electrification experiences in Andean Countries (Bolivia, Ecuador, Peru and Venezuela) are reviewed, analyzing the decisions taken across the design process and showing the suitability of these technologies to extend access to electricity. In the target projects, first, a preliminary analysis is carried out to estimate the energy resources and demand. Next, the system is designed and implemented to meet the demand using the available resources. The five projects illustrate different options for the electrical generation (single, hybrid or combination of technologies), storage (battery or diesel backup) and distribution (microgrid or individual systems), as well as different methods for data gathering and systems design. In addition, a comparison of projects’ real behavior is carried out and their technical performance in terms of energy production and suitability of the technologies implemented is analyzed. These projects can be a good reference for the dissemination of such technologies in future projects in the Andean countries and abroad.Postprint (author's final draft

Long-term energy planning and demand forecast in remote areas of developing countries: Classification of case studies and insights from a modelling perspective

More than half a billion people will still lack reliable and affordable electricity in 2040 and around 1.8 billion may remain reliant on traditional solid biomass for cooking. Long-term energy planning could help to achieve the energy access targets in developing countries, especially in remote rural areas. Different studies exist on long-term rural electricity and thermal energy planning, but the different foci, terminology and methodologies make it difficult to track their similarities, weaknesses and strengths. With this work, we aim at providing a critical analysis of peer-reviewed studies on long-term rural energy planning, to help researchers in the field move across the diverse know-how developed in the last decades. The work resulted in the analysis of 130 studies and categorisation of 85 of them that focus on electricity, thermal energy, and oil supply in rural areas, under a number of rules clearly defined in the first part of the paper. We classify the studies in two consecutive steps, first according to their type and afterwards according to the methodology they employ to forecast the energy demand, which is one the most critical aspects when dealing with long-term rural energy planning. The work also provides specific insights, useful to researchers interested in rural energy modelling. Few studies assume a dynamic demand over the years and most of them do not consider any evolution of the future energy load, or forecast its growth through arbitrary trends and scenarios. This however undermines the relevance of the results for the purpose of long-term planning and highlights the necessity of further developing the forecasting methodologies. We conclude that bottom-up approaches, system-dynamics and agent-based models seem appropriate approaches to forecast the evolution of the demand for energy in the long-term; we analyse their potential capability to tackle the context-specific complexities of rural areas and the nexus causalities among energy and socio-economic dynamics

Implementation framework for microgrids as an energy solution to uplift rural communities in the Eastern Cape

People in remote areas of most developing countries still face economic and environmental challenges despite our more accessible world of technology. Access to reliable and sustainable electricity is the most challenging developmental issue faced by rural communities in South Africa, as grid expansion has dwindled due to business challenges experiences by the state power producer, Eskom. Unless businesses and homeowners in unconnected areas use generators, which are costly to run and environmentally unfriendly, most will continue to remain without electricity for the foreseeable future. The purpose of this study therefore is to provide a model for the successful implementation of renewable energy microgrids to overcome poverty and promote economic development in rural areas of the Eastern Cape. The data for the study was collected from three district municipalities in the rural areas of the Eastern Cape. The province is divided into homeland and farms, with the farms that were sampled for the study situated on State-owned land. The sample group comprised small businesses operating in these rural areas. The study used a mixed-method research design, the methodology being found to be the most suitable for the study. The study uses a questionnaire-variant convergent design that consisted of a mixture of open-ended and close-ended questions. The sample group was situated in areas with limited electricity or internet access, therefore face-toface structured interviews were conducted. Meta-inference was used for data interpretation, and a combination of quantitative and qualitative data analysis methods was used to analyse the data. For the open-ended questions, thematic analysis was used, whilst descriptive statistics were used for the closed-ended questions. The study found that most businesses operating in rural areas do not have access to electricity. Those businesses which do not have electricity must make use of diesel-powered generators to continue to trade, which makes their businesses unprofitable. They spend a large proportion of their earnings purchasing fuel to achieve the desire thermal comfort for their stock, or to pump water via boreholes or piped dam structures. The study showed that implementing a renewable energy microgrids provides a viable option, supporting the literature reviewed. This will promote economic development in these areas of the Eastern Cape. Developing and enhancing the standard of living can assist in reducing the number of people migrating to urban areas whilst providing an opportunity to increase farm yields, grow rural business and change the lives of the poor for the better.Thesis (MA) -- Faculty of Engineering, the Built Environment, and Technology, 202

Small Scale Innovation for Large Scale Progress: A Clean Tech Rural Development Model Using Quality of Life Indicators to Select Optimal Renewable Energy Solutions

The energy poverty challenge sits in an estimated $6.4 trillion clean technology market opportunity in developing and emerging markets over the next decade (World Bank, 2014). As a result, private sector investments have magnetized towards renewable energy technology solutions that while innovative, are limited in scalability. However, large-scale electrification has seen narrow success, often only using income levels as a proxy for development – a myopic measure for Quality of Life (QOL) in rural areas with drastically different livelihoods than their urban counterparts. Thus, my critical research objective was to determine which Rural Energy Development Solution(s) (REDS) best catalyze QOL improvements in rural communities to increase return from international development dollars and private sector investment. My primary hypothesis was that small-scale solar REDS (i.e., solar lamps and Solar Home Systems (SHS)) have the highest degree of correlation with QOL indicators, suggesting a sustainable and significant development opportunity for rural communities in Malaysia. However, the model showed the impossibility of predicting REDS fit without taking both a holistic and customized assessment of each village’s situation. In Kampung Dew, an islanded microgrid has the most promise, largely given the anticipated growth in energy need from the village’s budding ecotourism business and accountable management entity expected from the stable local government. In contrast, a SHS is an optimal match for Kenyah due to its community-oriented longhouse living arrangements; ongoing displacement as a result of hydrodam construction make the ability to pump water to irrigate its farmlands even more important. Methodology for this research centered on determining Clean Tech Rural Development Model (CTRDM) variables to build a robust and applicable cost-benefit model. First, by assessing environmental, economic, and social implications, I identified the pertinent costs and benefits of a representative range of three REDS from the smallest to largest application (i.e. solar lamp, small-scale solar home systems (SHS), and mid-scale microgrid electrification). This investigation uncovered a net positive impact from each REDS after accounting for up-front capital, implementation, and maintenance costs. Both per household and government perspectives were crafted to provide a balanced viewpoint of each REDS. Second, I identified relevant QOL inputs and created assessment mechanisms for each of these variables, quantitative where possible, and qualitative where not. This composite of inputs provides a comprehensive assessment of Environmental, Economic, Social, and Governance factors (e.g. number of households, proximity to grid, access to biofuel) that tailor REDS selection to a specific rural locale. Lastly, customizing this model for two villages in Peninsular and Sarawak Malaysia determined which solutions yielded the highest impact on QOL indicators relevant to rural development, i.e. income level, health, education, and gender inequity. CTRDM can thus serve as a decision tool that forecasts the extent to which REDS impact QOL indicators for a specific region and guides government policies and private investment in REDS implementation. While rural villages in Peninsular and Sarawak, Malaysia were used as test cases for the CTRDM, the customizable inputs make the model applicable to a wide range of countries considering rural development through clean technology solutions. As REDS advance, further studies, using the replicable methodology, can be conducted to build out the cost-benefit model