CleanED proposes two M2 internships on Data disaggregation and projection for energy/environment modeling with constraint satisfaction programming for GAINS and LEAP.

The national energy balance of Vietnam is available for 2013-2015, along with data on socio-economic parameters. As per international practices, the energy balance table has columns describing energy forms (from Coal to Electricity), and rows describing consumption sectors. The bottom of the table distinguishes 5 consumption aggregates (from Industry to Residential). An additional table subdivides Industry in 12 sectors. The internship will disaggregate these tables in the space dimension and extend them in the time dimension, accounting for existing plans and roadmaps.

This internship proposal is designed for a team of two M2 students interested in renewable energy and energy modeling, one Vietnamese and one French. They will share data and method, but target different models: GAINS and LEAP. These two cases will be examined as follows:

● For the GAINS Vietnam case, the timepoints to be produced are 2015, 2020, 2025, 2030, and the geographical division will first be North of Vietnam, and then in a second step “Greater Hanoi area” and finally selected provinces within that area. It will consider only the baseline case.

● For the LEAP Vietnam case, the timepoints will be annual starting from 2015, and the geographical division will only be “North, Center and South of Vietnam”. If time permits, the baseline scenario will be complemented by alternative greener policy scenarios.

The method is to merge information from the national energy balance with information from regional statistics, development plans, and domain knowledge, under the constraints that the end results --regional energy/socio economic accounts-- must be consistent in term of: cost, price, technical efficiency transformation process balances volumes and energy content, and other socio-economic parameters. Geographical disaggregation and temporal projection is an important part in any integrated assessment modeling. It will open to a PhD research follow up, oriented on the methodological research.

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