Scoping exercise to determine load profile archetype reference shapes for solar co-generation models in isolated off-grid rural African villages

Prinsloo, Gerro

doi:10.17159/2413-3051/2016/v27i3a1375

Cited by 41 publications

(31 citation statements)

References 25 publications

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“…The effort of characterizing the load profiles of existing micro-grids to use as a improved input to simulation tools like HOMER has been pursued in [19], with respect to 11 micro-grids installed by Powergen in Kenya and Tanzania. Prinsloo and et al, developed a load profile "archetype" for rural micro-grids in Africa, by combining a variety of datasets found in literature, for the same purpose of improving inputs to computer models [20].…”

Section: Load Profile As Input For Sizing and Optimization Modelsmentioning

confidence: 99%

Methodology for the Energy Need Assessment to Effectively Design and Deploy Mini-Grids for Rural Electrification

et al. 2019

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In order to successfully deploy a large number of decentralized energy systems in developing countries, it is necessary to standardize effective methodologies and procedures to develop off-grid/mini-grid systems. Considering that the energy need assessment provides inputs and assumptions used in business modelling and mini-grid design, the accuracy of its results directly affects the technical and financial feasibility studies. Thus, the approach for applying a proven methodology for the energy need assessment of rural communities is aimed at obtaining reliable input data for the mini-grid development. This helps in reducing both the financial challenges by mitigating the uncertainties in electricity demand and the technical challenges by contributing to adequately size off-grid power generation systems, with a view to boost toward a common overall objective of mini-grid’s optimization methods and tools. Hence, taking into consideration that target communities differ in terms of needs and context conditions, the proposed paper describes an inclusive methodology that can be adapted case-by-case. It provides an effective applied solution the lack of proven guidelines from project developers or literature, giving priority to data collection methods able to achieve a large sample representative of the market, with high accuracy in estimating the energy consumptions from electricity substitutes.

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Section: Load Profile As Input For Sizing and Optimization Modelsmentioning

confidence: 99%

Methodology for the Energy Need Assessment to Effectively Design and Deploy Mini-Grids for Rural Electrification

et al. 2019

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“…To derive the typical load profile of a home in the USA, we aggregate the data originally collected from Dataport and compute the average hourly consumption of a household. We derive the typical load profile of a home in Nigeria from [37]. Thereafter, we compute the load profile of our representative dataset (i.e., the Dataport dataset adapted so far) and present it in Fig.…”

Section: Consumption Patternsmentioning

confidence: 99%

“…Specifically, we collected appliance-level consumption data of households in the USA from Pecan Street Inc's Dataport. Then, based on findings about appliances commonly used in both Nigeria (a typical developing country) and the USA [11,26,30,31,44], the temperature in cities of both countries and their consumption patterns [16,17,37], we developed the appliance-level data into household consumption data for households in a developing country. Thereafter, we modelled households into agents, each with its preference (or need) for consuming electricity.…”

Section: Summary Of Workmentioning

confidence: 99%

Solving the fair electric load shedding problem in developing countries

Oluwasuji

Malik

Zhang

et al. 2019

Auton Agent Multi-Agent Syst

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Often because of limitations in generation capacity of power stations, many developing countries frequently resort to disconnecting large parts of the power grid from supply, a process termed load shedding. This leaves households in disconnected parts without electricity, causing them inconvenience and discomfort. Without fairness being taken into due consideration during load shedding, some households may suffer more than others. In this paper, we solve the fair load shedding problem (FLSP) by creating solutions which connect households to supply based on some fairness criteria (i.e., to fairly connect homes to supply in terms of duration, their electricity needs, and their demand), which we model as their utilities. First, we briefly describe some state-of-art household-level load shedding heuristics which meet the first criteria. Second, we model the FLSP as a resource allocation problem, which we formulate into two Mixed Integer Programming (MIP) problems based on the Multiple Knapsack Problem. In so doing, we use the utilitarian, egalitarian and envy-freeness social welfare metrics to develop objectives and constraints that ensure our FLSP solutions results in fair allocations that consider the utilities of agents. Then, we solve the FLSP and show that our MIP models maximize the groupwise and individual utilities of agents, and minimize the differences between their pairwise utilities under a number of experiments. When taken together, our endeavour establishes a set of benchmarks for fair load shedding schemes, and provide insights for designing fair allocation solutions for other scarce resources.

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“…Currently, there is no electricity in Amarika village thus, the load demand of 1700 kWh/day was estimated through load forecasting by the author of [15]. It follows the rural load profile for medium households illustrated in [16]. Figure 2 shows the estimated load demand profile for the village.…”

Section: Residential Loadsmentioning

confidence: 99%

“…Reverse osmosis (RO) is a pressure-driven membrane process that separate solutes (ions, molecules and large particles) from a solvent [16]. In the reverse osmosis desalination plant, the concentrated saline solution is forced, at high pressures, through a spiral-wound RO membrane that filter out brine solution while allowing fresh water to continue with the system [17].…”

Section: Reverse Osmosis Desalination Plantmentioning

confidence: 99%

Optimal and Economic Evaluation of a Stand-alone Microgrid for Electricity and Water Supply for Namibia’s Rural Village

Wanjekeche¹,

Ananias²

2019

AJEE

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Stand-alone microgrid hold a primary solution for electricity and water supply in remote areas access to National grid is not possible. This paper presents a detailed optimal sizing and economic evaluations of a stand-alone microgrid for a remote village (Amarika) in Namibia. Several renewable energy sources such as wind turbines and photovoltaic arrays were considered with a battery backup storage system and a reverse osmosis desalination plant for water supply. Modelling of the microgrid was done based on the meteorological data, the daily water and energy demand of the village. Particle swarm optimization was employed for the system techno-economic optimization: to determine a suitable microgrid configuration that can be established at minimum cost. Sensitivity analysis of the system was performed to examine the effect of variation of LPSP on LCOE. The results demonstrate that the optimized microgrid configuration and the optimization algorithm are effective and can be adopted in supplying power and water to the village. The levelized cost of electricity proves the economic feasibility of the microgrid. The levelized cost of electricity falls within a 90% standard deviation (= 0.065) of the mean. This proved to be economically feasible with a 96.5% reliability of power supply.

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Scoping exercise to determine load profile archetype reference shapes for solar co-generation models in isolated off-grid rural African villages

Abstract: Abstract

Cited by 41 publications

References 25 publications

Methodology for the Energy Need Assessment to Effectively Design and Deploy Mini-Grids for Rural Electrification

Methodology for the Energy Need Assessment to Effectively Design and Deploy Mini-Grids for Rural Electrification

Solving the fair electric load shedding problem in developing countries

Optimal and Economic Evaluation of a Stand-alone Microgrid for Electricity and Water Supply for Namibia’s Rural Village

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