Economic analysis of supplying an electro village using alternative electrical power sources

Mbogho, Marangi S.; Wekesa, Cyrus Wabuge; Murage, David K.; Toyoda, J.

doi:10.1109/afrcon.1996.563026

Cited by 3 publications

(3 citation statements)

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“…The hourly average wind speed data for Marsabit collected in 2006 is shown in Figure 8 [18]. High wind speeds are prevalent during nighttime hours and they peak above 12 m/s during the early morning hours.…”

Section: Wind Resource Assessmentmentioning

confidence: 99%

“…Load/Demand AssessmentIn many cases, actual load data for rural populations is not readily available and this was the case with the remote regions in Northern Kenya. However, a 24-hour load profile for a typical month in Marsabit was obtained, seeFigure 5[18], and was used to develop the electrical demand data required for this study. As of June 2010, maximum demand in Marsabit was reported to be 740 kW[19].…”

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confidence: 99%

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Hybrid Power System Options for Off-Grid Rural Electrification in Northern Kenya

Lukuyu¹,

Cardell²

2014

SGRE

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For domestic consumers in the rural areas of northern Kenya, as in other developing countries, the typical source of electrical supply is diesel generators. However, diesel generators are associated with both CO2 emissions, which adversely affect the environment and increase diesel fuel prices, which inflate the prices of consumer goods. The Kenya government has taken steps towards addressing this issue by proposing The Hybrid Mini-Grid Project, which involves the installation of 3 MW of wind and solar energy systems in facilities with existing diesel generators. However, this project has not yet been implemented. As a contribution to this effort, this study proposes, simulates and analyzes five different configurations of hybrid energy systems incorporating wind energy, solar energy and battery storage to replace the stand-alone diesel power systems servicing six remote villages in northern Kenya. If implemented, the systems proposed here would reduce Kenya's dependency on diesel fuel, leading to reductions in its carbon footprint. This analysis confirms the feasibility of these hybrid systems with many configurations being profitable. A Multi-Attribute Trade-Off Analysis is employed to determine the best hybrid system configuration option that would reduce diesel fuel consumption and jointly minimize CO2 emissions and net present cost. This analysis determined that a wind-diesel-battery configuration consisting of two 500 kW turbines, 1200 kW diesel capacity and 95,040 Ah battery capacity is the best option to replace a 3200 kW stand-alone diesel system providing electricity to a village with a peak demand of 839 kW. It has the potential to reduce diesel fuel consumption and CO2 emissions by up to 98.8%.

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Section: Wind Resource Assessmentmentioning

confidence: 99%

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confidence: 99%

Hybrid Power System Options for Off-Grid Rural Electrification in Northern Kenya

Lukuyu¹,

Cardell²

2014

SGRE

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“…Karki analyses in [5] the possibilities to reduce costs of rural electrification in Nepal. In [6] Mbogho, Wekesa, Murage and Toyoda compare the electrification of a village in Kenya by grid connection with the electrification using a combination of wind turbine generator and diesel generator. In [7] Munasinghe gives a general overview on the problems of rural electrification.…”

Section: Introductionmentioning

confidence: 99%

Simulation-based decision support tool for electrification of isolated areas using a network with multiple renewable sources

Keller

Naciri

Nejmi

et al. 2007

2007 International Conference on Clean Electrical Power

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The École Polytechnique Fédérale de Lausanne (EPFL), the Hassan II Institute of Agronomics and Veterinary Science (IAV) and Targa-Aid association (Rabat/Morocco) undertook a joint project to implement an electrification technique from different types of renewable sources, supplying small networks of isolated consumers.To help select the best solution among several production variants for satisfying the consumption, taking all of the constraints into account, the EPFL developed the OptElDec software, a simulation based decision support tool. This tool allows modeling consumers, energy production and storage elements. Furthermore, a priority system applied to consumers and power stations is introduced for acting on operation strategy of the production and storage elements. Thus, it gives an eloquent prediction of the performance of one production network variant.Once simulations are carried out, the decision support layer allows comparing several simulated variants regarding quantitative and qualitative criteria in order to find the optimum variant.Index Terms-rural electrification, simulation tool, renewable energies, decision support system 1-4244-0632-3/07/$20.00 ©2007 IEEE.

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Wind-diesel microgrid system for remote villages in Kenya

Lukuyu

2012

2012 North American Power Symposium (NAPS)

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Economic analysis of supplying an electro village using alternative electrical power sources

Cited by 3 publications

References 1 publication

Hybrid Power System Options for Off-Grid Rural Electrification in Northern Kenya

Hybrid Power System Options for Off-Grid Rural Electrification in Northern Kenya

Simulation-based decision support tool for electrification of isolated areas using a network with multiple renewable sources

Wind-diesel microgrid system for remote villages in Kenya

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