Operation Cost Optimization on an Ultralow Emission System Based on Improved Collaborative Optimization
Song Zheng, Kafei Tang, Shuai Chen and 1 more
IEEE Access · 2020
doi:10.1109/access.2020.2974938 (opens in a new tab)
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Abstract
Due to the lack of an effective overall coordinated treatment method, it is difficult to achieve low cost and efficient removal of pollutants from coal-fired flue gas. This paper establishes a collaborative optimization model for ultralow emission systems, including a system level model of operation cost and three discipline level models for denitration, desulfurization, and dust removal. An improved collaborative optimization method with a dynamic penalty function is proposed to optimize an ultralow emission system. Simulation results show that the improved method achieves better global optimization and effectively reduces the operation cost of the system under ultralow emission constraints.
Abstract licence: CC BY-NC-ND
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