Multi-objective optimization operation of the green energy island based on Hammersley sequence sampling

Abstract The Green Energy Island (GEI) is a system that supplies heating, cooling and electricity energy. This system includes various supply-side technologies, which introduces a large amount of degrees of freedom in the design and operation phases. Therefore, the optimal operation parameters should be determined to ensure continuous and stable heating, cooling and power supply of the GEI system. In this paper, the e-constraints method based on Hammersley sequence sampling (HSS) method is proposed. Comparison with the traditional e-constraints method shows that the e-constraints method based on HSS method can save a lot of time in solving the multi-objective optimization problem. Moreover, an innovative multi-objective optimization framework that integrates the e-constraints method, HSS method and TOPSIS approach is established in economic, energy and environmental benefit. Through the optimization calculation for three typical days, the approximate Pareto frontiers with possible operation parameters were presented, which provided a reference for decision makers. Finally, by using TOPSIS approach, the optimal energy dispatch was obtained for three typical days. The results show that the energy and environmental benefit of the GEI system is significant with the approximate 5–35% of the fuel energy saving ratio and the approximate 10–65% of carbon dioxide emission reduction ratio.

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