pe-01-2024-1-9

Journal: Pollution and Environment (PE)
Author: Jiajin Zhuo

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Doi:10.7508/pe.01.2024.01.09

With the proposal of “carbon peak, carbon neutral” dual-carbon goals, China’s energy supply is facing the problem of cleaner and smarter transformation. To maximize the economic, energy efficiency, and environmental benefits of distributed energy systems to meet the economic, energy-saving, and environmental protection needs of endusers, this research builds a distributed hybrid cogeneration system based on the Proton Exchange Membrane Fuel Cell( PEMFC) as the main body of the study and establishes a multi-objective optimization model through the two-layer collaborative optimization method by combining the NSGA-II algorithm with the genetic algorithm, and the optimal solution set for the economic and environmental objectives is obtained by the NSGA-II algorithm in the upper layer. The NSGA-II algorithm and genetic algorithm are combined, the upper layer of the NSGA-II algorithm derives the optimal solution set for the economic and environmental objectives, the lower layer of the NSGA-II algorithm derives the optimal body for the energy-saving objective by taking the upper solution set as the initial population, and then the loop iteration is realized, and the optimal solution is selected by the TOPSIS method at last, so as to optimally configure the capacity of each component of energy system. This proposes a scientific, efficient and rational design optimization method for the construction and component equipping of distributed energy system. Finally, through the system optimization analysis, it can be seen that the optimally designed energy system is more diversified and superior compared with the traditional scheme. The optimized solution improves the overall performance and stability of the system, and can reduce energy saving and emission reduction expenditures, which brings more economic and environmental benefits to the users.