An Optimization Framework for the Climate, Land, Energy, and Water (CLEWS) Nexus by a Discrete Optimization Model

Abstract

Global energy resources are important for the economic prosperity. Energy resources management and environment conservation have been a great subject worldwide. This study presents a discrete optimization model for the Climate, Land, Energy, and Water (CLEW) nexus interactions. The optimization model examines the temporal and spatial integration of the CLEW nexus elements in order to provide optimal infrastructure capacity expansion of essential commodities, and periodic optimal supply of these commodities for a given region. A mixed integer linear programming (MILP) model is developed to assist in the process of optimal infrastructure capacity expansion and operation of the CLEW system. A case study of the Mauritius Island is presented to show the application of the mathematical model.