Methodology, Data, and Scenario Development

This chapter is divided into three sections; the first section presents model used in this study, the reason for the selection of the model, and the algorithm of the LEAP and OSeMOSYS model. The second section describes the LEAP and OSeMOSYS data requirem

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Methodology, Data, and Scenario Development

Abstract This chapter is divided into three sections; the first section presents model used in this study, the reason for the selection of the model, and the algorithm of the LEAP and OSeMOSYS model. The second section describes the LEAP and OSeMOSYS data requirement, explains the data collection process, parameters, variables, and presents the datasets used in the development of the Nigeria LEAP Model. The last subsection explains the scenario development ­techniques, processes, and extensively discusses each scenario developed. Keywords  The LEAP model  ·  LEAP-OSeMOSYS model  ·  Modeling parameters  ·  Data requirement and collection  ·  Scenario development

4.1 The Model This research will apply the Long-range Energy Alternatives Planning system1 (LEAP) which is a scenario-based energy analysis and climate change assessment modeling tool, developed by Stockholm Environment Institute (SEI LEAP 2008). It designs different scenarios of future energy demand and environmental impact based on how energy is consumed, converted, and produced in a given region or economy under a range of values for parameters such as population increase, economic development, technology utilization, and inflation (Cai et al. 2008). With a flexible data structure, LEAP is user friendly and rich in technical specifications and end-use details (SEI 2008). The model has been extensively used at the local, national, and global scales to project energy supply and demand, predict environmental impact of energy policies, and identify potential problems.

1LEAP citation: Heaps 2012. Long-range Energy Alternatives Planning (LEAP) system. [Software version 2015.0.4] Stockholm Environment Institute. Somerville, MA, USA. www.en ergycommunity.org.

© Springer Science+Business Media Singapore 2016 N.V. Emodi, Energy Policies for Sustainable Development Strategies, Frontiers in African Business Research, DOI 10.1007/978-981-10-0974-7_4

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4.1.1 Reason for the Selection of the LEAP Model The LEAP model has some advantages compared to other models mentioned in the last chapter (Chap. 3) and these are the basis for the selection of the LEAP model presented in this study. These advantages include: • Work scope: the LEAP model is able to work its way up from energy extractions, processing, conversion, transmission, up to end-use consumption by demand devices, under a range of assumptions. • Data characteristics: the LEAP uses a flexible data structure which can be a Top-Down or Bottom-Up approach depending on the data available, or even decoupling approach. • Policy analysis: with LEAP, energy policy analysts can develop and evaluate alternative scenarios by comparing the energy requirement, social costs and benefits, and their environmental impacts. • Technology and Environmental Data (TED): the LEAP model is integrated with TED databases which give users information regarding technical characteristics, cost, and environmental effects of energy technologies