Performance emission optimization of a diesel hydrogen dual fuel operation: A NSGA II coupled TOPSIS MADM approach
A Pareto based multi objective optimization approach has been proposed to design and obtain Pareto optimal set of solutions for performance and emission characteristics of a single cylinder, four stroke diesel engine using hydrogen in dual fuel mode. Instead of defining a single optimal objective, the proposed method establishes the multi objective model by taking two design objectives into account, which are minimizing load and hydrogen flow rate. To address this optimization problem, we develop a two stage evolutionary computation approach integrating an exclusive non dominated sorting genetic algorithm (NSGA II) and technique for order preference by similarity to ideal solution(TOPSIS) NSGA II has been utilized to search for the candidate solutions in terms of both objectives. The obtained results have been obtained as Pareto front. Subsequently, the best compromise solution has been determined by the TOPSIS method from the Pareto front according to the decision maker's preference. The design results shows that the proposed approach yields a remarkable reduction in the emission spectra with enhancement in performance of the engine under a single podium obtained by multi objective optimization.