Title :
Multi-Objective Optimization of Energy Systems for Pollution Mitigation in Kavaratti Island
Author :
Ashraf, Imtiaz ; Rahman, Md Amanur ; Iqbal, Atif ; Chandra, A.
Author_Institution :
Aligarh Muslim Univ., Aligarh
Abstract :
Islands represent a unique challenge in terms of energy supply. A great deal of work has been carried out in this specific aspect of energy supply on different islands in the world. Unfortunately due to island specific energy use profile, resources and different kind of environmental conditions, study of one island cannot be easily applied to other islands. The Lakshadweep group of islands in Arabian Sea is one of the two major groups of Islands in India having Diesel generators as the main source of electricity. Considering the remoteness of the Island and polluting nature of existing Diesel generators, it is desirable to adopt a strategy to utilize available potential of non-polluting renewable energy sources for these ecologically sensitive Islands. A multi objective optimization methodology is applied on the Kavaratti Island of Lakshadweep Islands group, where various renewable energy sources exists and could be exploited to satisfy electrical energy need along with environmental pollution mitigation. Specific mathematical model is developed with two objective functions that work reversibly. Application of specific mathematical tools will lead to a set of energy solutions called pareto set, which satisfy the multiplicity of criteria, namely environmental pollution, Energy demand, cost and resource constraints.
Keywords :
air pollution control; diesel-electric generators; mathematical analysis; optimisation; renewable energy sources; Arabian Sea; Kavaratti island; Lakshadweep group; diesel generators; electrical energy; energy demand; environmental pollution; mathematical tools; multiobjective optimization; pareto set; renewable energy systems; Biomass; Costs; Mathematical model; Optimization methods; Pollution; Power generation; Renewable energy resources; Soil; Solar power generation; Wind energy generation; Multiobjective optimization; Pollution mitigation; Renewable energy systems;
Conference_Titel :
Universities Power Engineering Conference, 2006. UPEC '06. Proceedings of the 41st International
Conference_Location :
Newcastle-upon-Tyne
Print_ISBN :
978-186135-342-9
DOI :
10.1109/UPEC.2006.367715