Long-Term Electricity Generation Expansion Modeling - Mati, Abdullahi
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Large-scale demand and capacity-mix optimization models for power generation expansion planning have been in use in so many countries of the world with considerable success. The application of these models to a developing country in most cases is hampered by lack of requisite database in those Countries. In addition, their electricity generation expansion planning is dictated by a linearly rising demand, coupled with a considerable extent of suppressed demand, thereby necessitating a rapid expansion drive. All these peculiarities, along with the diverse technology and emission requirements…mehr

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Produktbeschreibung
Large-scale demand and capacity-mix optimization models for power generation expansion planning have been in use in so many countries of the world with considerable success. The application of these models to a developing country in most cases is hampered by lack of requisite database in those Countries. In addition, their electricity generation expansion planning is dictated by a linearly rising demand, coupled with a considerable extent of suppressed demand, thereby necessitating a rapid expansion drive. All these peculiarities, along with the diverse technology and emission requirements call for specific modeling framework for the application of the models in a developing country. This thesis attempt to address this need with vivid case studies of the Nigerian power system, using basic modeling approaches and some selected large-scale models popularized by the International Atomic Energy Agency.
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Autorenporträt
Abdullahi A. Mati Holds a PhD in electrical engineering, and is a senior research fellow at the Centre for Energy Research and Training, Ahmadu Bello University, Zaria, Nigeria. He is currently researching in energy systems modelling and general system engineering. He also lectures at the Department of Electrical Engineering of the University.