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Application of Grid Computing for Meteorological Assessment of Wind and Solar Resources in Sub-Saharan African Countries

Application of Grid Computing for Meteorological Assessment of Wind and Solar Resources in Sub-Saharan African Countries

Francis Xavier Ochieng
Copyright: © 2012 |Pages: 8
ISBN13: 9781613501139|ISBN10: 1613501137|EISBN13: 9781613501146
DOI: 10.4018/978-1-61350-113-9.ch012
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MLA

Ochieng, Francis Xavier. "Application of Grid Computing for Meteorological Assessment of Wind and Solar Resources in Sub-Saharan African Countries." Computational and Data Grids: Principles, Applications and Design, edited by Nikolaos Preve, IGI Global, 2012, pp. 283-290. https://doi.org/10.4018/978-1-61350-113-9.ch012

APA

Ochieng, F. X. (2012). Application of Grid Computing for Meteorological Assessment of Wind and Solar Resources in Sub-Saharan African Countries. In N. Preve (Ed.), Computational and Data Grids: Principles, Applications and Design (pp. 283-290). IGI Global. https://doi.org/10.4018/978-1-61350-113-9.ch012

Chicago

Ochieng, Francis Xavier. "Application of Grid Computing for Meteorological Assessment of Wind and Solar Resources in Sub-Saharan African Countries." In Computational and Data Grids: Principles, Applications and Design, edited by Nikolaos Preve, 283-290. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-61350-113-9.ch012

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Abstract

Developing countries especially those in sub-Saharan Africa face a major challenge in meteorological prediction and numerical assessment of wind and solar resources. This is mainly attributed to lack of expertise and requisite equipment. A proven approach is the utilization of remote grid computing essentially undertaking grid computing remotely by accessing the grid computers in host countries with more advanced Information Technology infrastructure. This chapter details the utilisation of a Numerical Mesoscale model with a horizontal resolution of 1 km in assessing wind resources in Kenya. The presented country in Sub-Saharan Africa uses a large-scale High-Performance Computer (HPC) that combines heterogeneous computing resources in Germany. The same model can be used for assessment of solar resources.

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