Water Energy Nexus - Model Results
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
The case study will build on an existing TIMES energy
system optimization model (SATIM), which will be complemented with
existing results from the South African water resources yield model to
obtain marginal water supply costs relevant to new energy sector
investments in particular water management areas.
The proposed modeling system will require treatment of risk and uncertainty. Resource cost and availability are typically defined by supply-cost curves, which are inputs to the model, and uncertainty in the cost or availability of specific resources is traditionally handled through scenario or sensitivity analyses which show how much the model results change when these parameters are changed. A core part of the project will be sensitivity analysis of how differing degrees of water scarcity, as measured by different potential supply costs, affect energy sector investment choices.