New publication

A new paper  published in May this year presents an optimization framework for the Climate, Land, Energy, and Water Nexus by using a discrete optimization model. By examining both the temporal and spatial integration of the CLEWs nexus elements, the optimization model aims to provide the optimal infrastructure capacity expansion of essential commodities in the nexus and the commodities optimal supply. This is done by developing a multiperiod mixed integer linear programming (MILP) model working to meet the increasing demand of the commodities within the CLEWs system. The model hence incorporates the planning of the production plants as well as the distribution of their commodities for all zones within the regions and time horizons. The model is tested on the case study of the Mauritius Island implementing both a business as usual and a rainfall reduction scenario. The study highlights, among others, the importance of a simultaneous analysis for all the fours elements within the CLEWs nexus to best show their interdependency.