Multi-objective optimisation of renewable energy systems for pollution mitigation - a case study of Kavaratti Island, India
AbstractIslands represent a unique challenge in terms of electrical energy supply. A great deal of work has been carried out on this specific aspect of energy supply on different islands in the world. Unfortunately, due to island-specific energy usage profile, resources and different kinds of environmental conditions, a study of one island cannot be easily extended to other islands. The Lakshadweep group of islands in the Arabian Sea is one of the two major groups of islands in India having diesel generators (DGs) as the main source of electricity. Considering the remoteness of the island and the polluting nature of existing DGs, it is desirable to adopt a strategy to utilise the available potential of non-polluting renewable energy sources (RESs) for these ecologically sensitive islands. A multi-objective optimisation methodology is applied in Kavaratti Island, Lakshadweep, where various RESs exist and can be exploited to generate electrical energy and to mitigate environmental pollution. A specific mathematical model is developed with two objective functions, namely cost and environmental pollution that work reversibly. Application of the proposed mathematical tool leads to a Pareto set, satisfying the multiplicity of criteria, namely environmental pollution, energy demand, per-unit generation cost and resource constraints.