Site suitability analysis for renewable off-grid systems using GIS-MADM in Sudan

Site suitability analysis for renewable off-grid systems using GIS-MADM in Sudan

This research aims to investigate the potential for implementing clean off-grid energy systems for rural electrification in Sudan. Analysis using the GIS (Geographic Information System) -MADM (Multiple Attribute Decision Making) method will identify sites suitability for renewable off-grid electricity systems. The methodology includes four main strands of work: (a) assessment of renewable energy availability in Sudan, (b) identifying suitable weighting criteria for site selection, (c) location of appropriate sites that fulfil the criteria via MADM-GIS, and (d) performing experts’ NGT (Nominal Group Technique) via AHP (analytic hierarchy process) – SAW (simple additive weighting) to select the most suitable sites in rural Sudan.

Transitioning Bangladesh to renewable power

Transitioning Bangladesh to renewable power

This research analyses the policies required to guide Bangladesh through its sustainable energy infrastructure transformation to support its aspiration of becoming a developed country by 2041. A regression-based simulation model will be developed to exhibit the effects of influencing factors on the transition pathways. Based on the model outcomes, the research will suggest what renewable share in the energy mix should be progressively elevated in accordance with the future escalation in financial affordability and technical advancement of the overall efficiency of suitable renewable systems for the country.

Artificial intelligence in renewable energy systems

Artificial intelligence in renewable energy systems

Student: Alois Klink Photovoltaic (PV) solar energy production is the fastest growing form of renewable energy, with forecasts of generation doubling by 2024. This growth is led by a decrease in capital cost, causing the relative cost of PV maintenance to increase,...